SlideShare a Scribd company logo
1 of 11
Download to read offline
Business Intelligence Analyst Skills
Framework
By: Ali Khan – Data & Analytics Director
Date : Feb 2022
Data & Analytics
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
CONTENTS Strategy Context
How we work
Storytelling
Actionable Insights
Skills Framework
Measurement
2
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
Our data strategy hinges on delivering to the 4 key pillars below through fit for purpose capabilities
and accelerated delivery via people, process and technology changes
3
• Search for data and reports
existing across ALL ADHB systems
• Understand what the data means
and how it is used
• Interact with regular users of this
data to improve understanding
• Understand the quality of the data
and its suitability for usage
Data Discovery
• Use modern tools like PowerBI or
their preferred tool to build
insights
• Data is available in a language
easily understood by the
business and already linked for
simple usage
• Data remains safe and secure at
all times and availability
controlled by access rights and
data classification
Self-Service Automation Innovation
• All manual processes engineered
out through automation where
possible
• Creation of data products and
reusable data assets to
accelerate delivery
• Automated workflows to
accelerate processes
• Automated data provisioning
capabilities within all data layers
• Enabling citizen data analysts,
geeks, scientists and engineers to
use data in innovative ways to
create value
• Intelligence teams co-designing
and delivering side by side with
business teams
• Testing production insights as
you go and changing on the fly
Discover data “within”
and “outside” our data
platforms
“Experiment and
create new value”
at low to zero cost
Reduce the
friction and cost
of delivering data
(new and existing)
Enable our “untapped
workforce of thousands” to
build sharable, repeatable
insights
Strategy Context: we have moved to a “DataOps” delivery model to accelerate democratisation of analytics
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
4
Putting actionable information into the hands of our practitioners is the “No 1” goal for our team
How we work: Our analysts require a range of business and technical skills to be effective in their
role
Traditional Business Intelligence
Information
Consumers
Occasional
Analysts
Business Intelligence
Analysts
Traditional
Users
Management /
Performance
Reporting
Strategic /
Compliance
Reporting
Operational
Data Science
Ad-hoc Data Analysis, Experimentation, Research
Operational
Reporting
Operational
Analysis
Modern Analytics Paradigm
Citizen
Data
Analysts
Citizen
Data Engineers
Citizen Data
Scientists
Geeks /
Unicorns
Information
Explorers
Business Data
Stewards
SQL
Playpen
Libraries of
certified datasets
Excel powered
exploration
Silver/Bronze self-published
PowerBI Reports
Innovating with
new data
Prebuilt Reports
& Dashboards
PDF Reports /
Dashboards
Modern
Users
The Analytics
Spectrum
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
5
Dashboards to
deliver insights
Citizen “Information Explorers “
actionioning decisions
through data
Libraries of secure self-serve
certified PBI Datasets to
enable exploration
Storytelling: To increase the relevance and longevity of insights delivered, our analysts have
adopted a data story telling approach for all insights delivery
This translates into integrated insight  action  outcome, supported by the data and allows our
users to explore their data through familiar tools
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
This approach typically results in insights that have meaning and initiate action
Actionable Insights: Our analysts work interactively and iteratively with our customers as we
establish the narrative
6
Identify, organise and design the most important stories in the data.
Hold workshops with the business to complete the story framework.
Bring the relevant data fields into an Excel dataset.
Ask questions, answer via pivots, find what matters.
Share your data discovery with the user via pivot tables, charts. Validate your findings.
Get feedback from the users, make changes, discover more, iterate.
Starting with a storyboard where it makes sense
Bringing together the data through discovery & consolidation
Iterative playback with the business
02
03
01
Deliver the data story. Create powerful visualisations to inspire action.
Choose the right design elements - charts, graphs, colour, white space, narrative.
Build the foundational datasets the business can use to help themselves.
Incrementally delivery insights and the ability to explore
04
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
D. Story Telling
& Visualisation
C. Data Analysis
& Modelling
B. Data
Manipulation
A. Requirements
& Business
Analysis
F. Relationship
Management
G. Leadership
& Performance
E. Results
Orientation
Business
Intelligence
Analyst
Skills Framework
Our “Business Intelligence Skills Framework” articulates the delivery and people skills needed to be
successful
Skills Framework: What skills do our analysts require in order to be successful ? 6
Competency Description
Delivery
Skills
A. Requirements & Business
Analysis
Understand and model business requirements,
understand their problems, model requirements
to define problem statements.
B. Data Manipulation Bring complex data together from multiple data
sources into optimised coherent datasets for use
in exploration.
C. Data Analysis &
Modelling
Model data using ER Modelling, analyse data to
build useful insights and ensure datasets are
suitable
D. Storytelling &
Visualisation
Use story telling techniques to create an
integrated view of insights needed to solve the
business problems. Develop visualisations to tell
the story.
People
Skills
E. Results Orientation Able to apply analytical thinking and problem
solving skills. Focused on achievement able to
plan and execute
F. Relationship
Management
Using a variety of communication skills to engage
and build relationships with internal and external
stakeholders. Being self-aware and adjusting style
to fit into a variety of environments. Being
impactful and influential.
G. Leadership &
Performance
Lead by example and lead others formally and
informally. Manage your own performance and
develop talent.
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
D. Storytelling
& Visualisation
C. Data Analysis
& Modelling
B. Data
Manipulation
A. Requirements
& Business
Analysis
Delivery
Skills
Skills Framework: The technical delivery skills our analysts require in order to be productive 8
These are the foundational skills that are essential for our analysts to understand the need, source and
prepare the data and build effective and relevant insights
Competency Capability
A. Requirements & Business Analysis 1. Requirements Gathering 2. Requirements Modelling 3. Business Needs Analysis 4. Value Realisation
B. Data Manipulation 1. Data Transformation / SQL 2. Data Management 3. Data Quality Management 4. Advanced Data Transformation
C. Data Analysis & Modelling 1. Data Analysis 2. Data Modelling 3. Advanced Data Analysis 4. Advanced Data Modelling
D. Storytelling & Visualisation 1. Rapid Prototyping 2. Data Story Telling 3. PowerBI Development
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
F. Relationship
Management
G. Leadership
& Performance
E. Results
Orientation
People Skills
6
Skills Framework: The human skills we use to be effective and influential
These skills allow us to manage ourselves, our interactions and our levels of success through
successful interactions and productive collaboration
Competency Capability
E. Results Orientation 1. Analytical Thinking and Problem Solving 2. Achievement Orientation 3. Decision-Making 4. Planning and Execution
F. Relationship Management 1. Stakeholder Management 2. Communication 3. Impact and Influence 4. Self-Awareness
G. Leadership & Performance 1. Direction-setting 2. Performance Management 3. Talent Development 4. Leadership
© Ali Khan on behalf of ADHB 2022
Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua
A minimum level of skills are required to be successful, but the real key is a balance of skills across
the team to accelerate capability growth
Measurement: We measure our team on a regular basis to support growth 10
Skill level Description of skill level Productivity
1 - aware I have read about this and understand what this means conceptually, and I think I can do it. Zero
2 – some experience I have completed training / self-learning, but I haven’t applied it enough yet to be proficient …. Or … I might also have
degree in this topic but I am a bit rusty …
Zero - Low
3 - Effective I am relatively proficient with a few hours of experience. But I need help when things get hard and generally take a bit
of time to deliver.
Low - Medium
4 - Expert I can independently operate on my own, deliver quickly, with minimal support and can solve complex problems. Often
help others out when they get stuck.
Medium - High
5 - Evangelist I am famous for this skill. People often ask me for help and I regularly run training sessions and/or present at
conferences.
High – Very High
Competency
Senior
BIA
BIA
Grade 3
BIA
Grade 2
BIA
Grade 1
Graduate
A. Requirements & Business Analysis 4 3 2 2 1
B. Data Manipulation 3 3 2 2 2
C. Data Analysis & Modelling 3 3 2 2 2
D. Storytelling & Visualisation 4 3 3 2 1
E. Results Orientation 4 4 3 3 2
F. Relationship Management 4 3 3 2 2
G. Leadership & Performance 3 3 3 2 1
Total Score (out of 5) 3.57 3.14 2.57 2.14 1.57
How we score
Score for each level
© Ali Khan on behalf of ADHB 2022
Thank you

More Related Content

What's hot

Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management  Basics Business Intelligence (BI) and Data Management  Basics
Business Intelligence (BI) and Data Management Basics amorshed
 
Data Engineering.pdf
Data Engineering.pdfData Engineering.pdf
Data Engineering.pdfDatacademy.ai
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
Building a Data Governance Strategy
Building a Data Governance StrategyBuilding a Data Governance Strategy
Building a Data Governance StrategyAnalytics8
 
Demystifying Data Warehousing as a Service (GLOC 2019)
Demystifying Data Warehousing as a Service (GLOC 2019)Demystifying Data Warehousing as a Service (GLOC 2019)
Demystifying Data Warehousing as a Service (GLOC 2019)Kent Graziano
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?Precisely
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
The Path to Data and Analytics Modernization
The Path to Data and Analytics ModernizationThe Path to Data and Analytics Modernization
The Path to Data and Analytics ModernizationAnalytics8
 
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
 
(The life of a) Data engineer
(The life of a) Data engineer(The life of a) Data engineer
(The life of a) Data engineerAlex Chalini
 
BI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyBI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
 
How to Build a Rock-Solid Analytics and Business Intelligence Strategy
How to Build a Rock-Solid Analytics and Business Intelligence StrategyHow to Build a Rock-Solid Analytics and Business Intelligence Strategy
How to Build a Rock-Solid Analytics and Business Intelligence StrategySAP Analytics
 
Collibra - Forrester Presentation : Data Governance 2.0
Collibra - Forrester Presentation : Data Governance 2.0Collibra - Forrester Presentation : Data Governance 2.0
Collibra - Forrester Presentation : Data Governance 2.0Guillaume LE GALIARD
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogDATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Real-World Data Governance: Data Governance Expectations
Real-World Data Governance: Data Governance ExpectationsReal-World Data Governance: Data Governance Expectations
Real-World Data Governance: Data Governance ExpectationsDATAVERSITY
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best PracticesDATAVERSITY
 
data-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptxdata-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptxMohamedHendawy17
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
 

What's hot (20)

Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management  Basics Business Intelligence (BI) and Data Management  Basics
Business Intelligence (BI) and Data Management Basics
 
Data Engineering.pdf
Data Engineering.pdfData Engineering.pdf
Data Engineering.pdf
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
Building a Data Governance Strategy
Building a Data Governance StrategyBuilding a Data Governance Strategy
Building a Data Governance Strategy
 
Demystifying Data Warehousing as a Service (GLOC 2019)
Demystifying Data Warehousing as a Service (GLOC 2019)Demystifying Data Warehousing as a Service (GLOC 2019)
Demystifying Data Warehousing as a Service (GLOC 2019)
 
You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?You Need a Data Catalog. Do You Know Why?
You Need a Data Catalog. Do You Know Why?
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
The Path to Data and Analytics Modernization
The Path to Data and Analytics ModernizationThe Path to Data and Analytics Modernization
The Path to Data and Analytics Modernization
 
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
 
(The life of a) Data engineer
(The life of a) Data engineer(The life of a) Data engineer
(The life of a) Data engineer
 
BI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and StrategyBI Consultancy - Data, Analytics and Strategy
BI Consultancy - Data, Analytics and Strategy
 
How to Build a Rock-Solid Analytics and Business Intelligence Strategy
How to Build a Rock-Solid Analytics and Business Intelligence StrategyHow to Build a Rock-Solid Analytics and Business Intelligence Strategy
How to Build a Rock-Solid Analytics and Business Intelligence Strategy
 
Collibra - Forrester Presentation : Data Governance 2.0
Collibra - Forrester Presentation : Data Governance 2.0Collibra - Forrester Presentation : Data Governance 2.0
Collibra - Forrester Presentation : Data Governance 2.0
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Real-World Data Governance: Data Governance Expectations
Real-World Data Governance: Data Governance ExpectationsReal-World Data Governance: Data Governance Expectations
Real-World Data Governance: Data Governance Expectations
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected Approach
 
Data Quality Best Practices
Data Quality Best PracticesData Quality Best Practices
Data Quality Best Practices
 
data-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptxdata-analytics-strategy-ebook.pptx
data-analytics-strategy-ebook.pptx
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 

Similar to Business Intelligence Analyst Skills Framework

Validating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsValidating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsMark Lawrence
 
Analytics & Data Strategy 101 by Deko Dimeski
Analytics & Data Strategy 101 by Deko DimeskiAnalytics & Data Strategy 101 by Deko Dimeski
Analytics & Data Strategy 101 by Deko DimeskiDeko Dimeski
 
Making Money Out of Data
Making Money Out of DataMaking Money Out of Data
Making Money Out of DataDigital Vidya
 
Bersin by Deloitte - Demystifying Big Data
Bersin by Deloitte - Demystifying Big DataBersin by Deloitte - Demystifying Big Data
Bersin by Deloitte - Demystifying Big DataNetDimensions
 
IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap?
IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap? IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap?
IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap? IBM Smarter Workforce
 
Certified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdf
Certified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdfCertified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdf
Certified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdfnosharwan1
 
An Introduction to Employee Engagement Analytics Suite – EmPOWER
An Introduction to Employee Engagement Analytics Suite – EmPOWERAn Introduction to Employee Engagement Analytics Suite – EmPOWER
An Introduction to Employee Engagement Analytics Suite – EmPOWERBRIDGEi2i Analytics Solutions
 
Business Agility Must Be Based on a New Flexible and Agile Data Approach
Business Agility Must Be Based on a New Flexible and Agile Data ApproachBusiness Agility Must Be Based on a New Flexible and Agile Data Approach
Business Agility Must Be Based on a New Flexible and Agile Data ApproachDenodo
 
How Organizations Are Using Analytics in Succession Decisions
How Organizations Are Using Analytics in Succession DecisionsHow Organizations Are Using Analytics in Succession Decisions
How Organizations Are Using Analytics in Succession DecisionsDavid Underwood
 
Building a 360 Degree View of Your Customers on BICS
Building a 360 Degree View of Your Customers on BICSBuilding a 360 Degree View of Your Customers on BICS
Building a 360 Degree View of Your Customers on BICSPerficient, Inc.
 
Pluto7 - Tableau Webinar on enabling Organization to be Data Driven in 201...
Pluto7   -  Tableau Webinar on enabling Organization to be Data Driven in 201...Pluto7   -  Tableau Webinar on enabling Organization to be Data Driven in 201...
Pluto7 - Tableau Webinar on enabling Organization to be Data Driven in 201...Manju Devadas
 
FTFCU - How to Become a Data Driven Organization
FTFCU - How to Become a Data Driven OrganizationFTFCU - How to Become a Data Driven Organization
FTFCU - How to Become a Data Driven OrganizationNaveen Jain
 
Building a Data Strategy Your C-Suite Will Support
Building a Data Strategy Your C-Suite Will SupportBuilding a Data Strategy Your C-Suite Will Support
Building a Data Strategy Your C-Suite Will SupportReid Colson
 
Beetra BI Practice
Beetra BI PracticeBeetra BI Practice
Beetra BI Practicesajidpathan
 

Similar to Business Intelligence Analyst Skills Framework (20)

Validating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsValidating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and Analytics
 
Analytics & Data Strategy 101 by Deko Dimeski
Analytics & Data Strategy 101 by Deko DimeskiAnalytics & Data Strategy 101 by Deko Dimeski
Analytics & Data Strategy 101 by Deko Dimeski
 
Making Money Out of Data
Making Money Out of DataMaking Money Out of Data
Making Money Out of Data
 
Bersin by Deloitte - Demystifying Big Data
Bersin by Deloitte - Demystifying Big DataBersin by Deloitte - Demystifying Big Data
Bersin by Deloitte - Demystifying Big Data
 
IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap?
IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap? IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap?
IBM Smarter Workforce Summit Toronto 2015: What is Your Critical Skills Gap?
 
Certified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdf
Certified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdfCertified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdf
Certified Data Analyst - Ain GenX (Pvt.) Ltd.-3.pdf
 
An Introduction to Employee Engagement Analytics Suite – EmPOWER
An Introduction to Employee Engagement Analytics Suite – EmPOWERAn Introduction to Employee Engagement Analytics Suite – EmPOWER
An Introduction to Employee Engagement Analytics Suite – EmPOWER
 
Business Agility Must Be Based on a New Flexible and Agile Data Approach
Business Agility Must Be Based on a New Flexible and Agile Data ApproachBusiness Agility Must Be Based on a New Flexible and Agile Data Approach
Business Agility Must Be Based on a New Flexible and Agile Data Approach
 
How Organizations Are Using Analytics in Succession Decisions
How Organizations Are Using Analytics in Succession DecisionsHow Organizations Are Using Analytics in Succession Decisions
How Organizations Are Using Analytics in Succession Decisions
 
From 'I think' to 'I know'
From 'I think' to 'I know'From 'I think' to 'I know'
From 'I think' to 'I know'
 
Building a 360 Degree View of Your Customers on BICS
Building a 360 Degree View of Your Customers on BICSBuilding a 360 Degree View of Your Customers on BICS
Building a 360 Degree View of Your Customers on BICS
 
Pluto7 - Tableau Webinar on enabling Organization to be Data Driven in 201...
Pluto7   -  Tableau Webinar on enabling Organization to be Data Driven in 201...Pluto7   -  Tableau Webinar on enabling Organization to be Data Driven in 201...
Pluto7 - Tableau Webinar on enabling Organization to be Data Driven in 201...
 
FTFCU - How to Become a Data Driven Organization
FTFCU - How to Become a Data Driven OrganizationFTFCU - How to Become a Data Driven Organization
FTFCU - How to Become a Data Driven Organization
 
ExistBI Data Integration Consulting Case Study
ExistBI Data Integration Consulting Case StudyExistBI Data Integration Consulting Case Study
ExistBI Data Integration Consulting Case Study
 
Sunitha Palakode
Sunitha PalakodeSunitha Palakode
Sunitha Palakode
 
Building a Data Strategy Your C-Suite Will Support
Building a Data Strategy Your C-Suite Will SupportBuilding a Data Strategy Your C-Suite Will Support
Building a Data Strategy Your C-Suite Will Support
 
Get your data analytics strategy right!
Get your data analytics strategy right!Get your data analytics strategy right!
Get your data analytics strategy right!
 
Beetra BI Practice
Beetra BI PracticeBeetra BI Practice
Beetra BI Practice
 
BI and Big Data DeepDive - Pressmart
BI and Big Data DeepDive - PressmartBI and Big Data DeepDive - Pressmart
BI and Big Data DeepDive - Pressmart
 
Data Analytics: From Basic Skills to Executive Decision-Making
Data Analytics: From Basic Skills to Executive Decision-MakingData Analytics: From Basic Skills to Executive Decision-Making
Data Analytics: From Basic Skills to Executive Decision-Making
 

Recently uploaded

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 

Recently uploaded (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 

Business Intelligence Analyst Skills Framework

  • 1. Business Intelligence Analyst Skills Framework By: Ali Khan – Data & Analytics Director Date : Feb 2022 Data & Analytics
  • 2. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua CONTENTS Strategy Context How we work Storytelling Actionable Insights Skills Framework Measurement 2 © Ali Khan on behalf of ADHB 2022
  • 3. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua Our data strategy hinges on delivering to the 4 key pillars below through fit for purpose capabilities and accelerated delivery via people, process and technology changes 3 • Search for data and reports existing across ALL ADHB systems • Understand what the data means and how it is used • Interact with regular users of this data to improve understanding • Understand the quality of the data and its suitability for usage Data Discovery • Use modern tools like PowerBI or their preferred tool to build insights • Data is available in a language easily understood by the business and already linked for simple usage • Data remains safe and secure at all times and availability controlled by access rights and data classification Self-Service Automation Innovation • All manual processes engineered out through automation where possible • Creation of data products and reusable data assets to accelerate delivery • Automated workflows to accelerate processes • Automated data provisioning capabilities within all data layers • Enabling citizen data analysts, geeks, scientists and engineers to use data in innovative ways to create value • Intelligence teams co-designing and delivering side by side with business teams • Testing production insights as you go and changing on the fly Discover data “within” and “outside” our data platforms “Experiment and create new value” at low to zero cost Reduce the friction and cost of delivering data (new and existing) Enable our “untapped workforce of thousands” to build sharable, repeatable insights Strategy Context: we have moved to a “DataOps” delivery model to accelerate democratisation of analytics © Ali Khan on behalf of ADHB 2022
  • 4. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua 4 Putting actionable information into the hands of our practitioners is the “No 1” goal for our team How we work: Our analysts require a range of business and technical skills to be effective in their role Traditional Business Intelligence Information Consumers Occasional Analysts Business Intelligence Analysts Traditional Users Management / Performance Reporting Strategic / Compliance Reporting Operational Data Science Ad-hoc Data Analysis, Experimentation, Research Operational Reporting Operational Analysis Modern Analytics Paradigm Citizen Data Analysts Citizen Data Engineers Citizen Data Scientists Geeks / Unicorns Information Explorers Business Data Stewards SQL Playpen Libraries of certified datasets Excel powered exploration Silver/Bronze self-published PowerBI Reports Innovating with new data Prebuilt Reports & Dashboards PDF Reports / Dashboards Modern Users The Analytics Spectrum © Ali Khan on behalf of ADHB 2022
  • 5. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua 5 Dashboards to deliver insights Citizen “Information Explorers “ actionioning decisions through data Libraries of secure self-serve certified PBI Datasets to enable exploration Storytelling: To increase the relevance and longevity of insights delivered, our analysts have adopted a data story telling approach for all insights delivery This translates into integrated insight  action  outcome, supported by the data and allows our users to explore their data through familiar tools © Ali Khan on behalf of ADHB 2022
  • 6. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua This approach typically results in insights that have meaning and initiate action Actionable Insights: Our analysts work interactively and iteratively with our customers as we establish the narrative 6 Identify, organise and design the most important stories in the data. Hold workshops with the business to complete the story framework. Bring the relevant data fields into an Excel dataset. Ask questions, answer via pivots, find what matters. Share your data discovery with the user via pivot tables, charts. Validate your findings. Get feedback from the users, make changes, discover more, iterate. Starting with a storyboard where it makes sense Bringing together the data through discovery & consolidation Iterative playback with the business 02 03 01 Deliver the data story. Create powerful visualisations to inspire action. Choose the right design elements - charts, graphs, colour, white space, narrative. Build the foundational datasets the business can use to help themselves. Incrementally delivery insights and the ability to explore 04 © Ali Khan on behalf of ADHB 2022
  • 7. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua D. Story Telling & Visualisation C. Data Analysis & Modelling B. Data Manipulation A. Requirements & Business Analysis F. Relationship Management G. Leadership & Performance E. Results Orientation Business Intelligence Analyst Skills Framework Our “Business Intelligence Skills Framework” articulates the delivery and people skills needed to be successful Skills Framework: What skills do our analysts require in order to be successful ? 6 Competency Description Delivery Skills A. Requirements & Business Analysis Understand and model business requirements, understand their problems, model requirements to define problem statements. B. Data Manipulation Bring complex data together from multiple data sources into optimised coherent datasets for use in exploration. C. Data Analysis & Modelling Model data using ER Modelling, analyse data to build useful insights and ensure datasets are suitable D. Storytelling & Visualisation Use story telling techniques to create an integrated view of insights needed to solve the business problems. Develop visualisations to tell the story. People Skills E. Results Orientation Able to apply analytical thinking and problem solving skills. Focused on achievement able to plan and execute F. Relationship Management Using a variety of communication skills to engage and build relationships with internal and external stakeholders. Being self-aware and adjusting style to fit into a variety of environments. Being impactful and influential. G. Leadership & Performance Lead by example and lead others formally and informally. Manage your own performance and develop talent. © Ali Khan on behalf of ADHB 2022
  • 8. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua D. Storytelling & Visualisation C. Data Analysis & Modelling B. Data Manipulation A. Requirements & Business Analysis Delivery Skills Skills Framework: The technical delivery skills our analysts require in order to be productive 8 These are the foundational skills that are essential for our analysts to understand the need, source and prepare the data and build effective and relevant insights Competency Capability A. Requirements & Business Analysis 1. Requirements Gathering 2. Requirements Modelling 3. Business Needs Analysis 4. Value Realisation B. Data Manipulation 1. Data Transformation / SQL 2. Data Management 3. Data Quality Management 4. Advanced Data Transformation C. Data Analysis & Modelling 1. Data Analysis 2. Data Modelling 3. Advanced Data Analysis 4. Advanced Data Modelling D. Storytelling & Visualisation 1. Rapid Prototyping 2. Data Story Telling 3. PowerBI Development © Ali Khan on behalf of ADHB 2022
  • 9. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua F. Relationship Management G. Leadership & Performance E. Results Orientation People Skills 6 Skills Framework: The human skills we use to be effective and influential These skills allow us to manage ourselves, our interactions and our levels of success through successful interactions and productive collaboration Competency Capability E. Results Orientation 1. Analytical Thinking and Problem Solving 2. Achievement Orientation 3. Decision-Making 4. Planning and Execution F. Relationship Management 1. Stakeholder Management 2. Communication 3. Impact and Influence 4. Self-Awareness G. Leadership & Performance 1. Direction-setting 2. Performance Management 3. Talent Development 4. Leadership © Ali Khan on behalf of ADHB 2022
  • 10. Welcome Haere Mai | Respect Manaaki | Together Tūhono | Aim High Angamua A minimum level of skills are required to be successful, but the real key is a balance of skills across the team to accelerate capability growth Measurement: We measure our team on a regular basis to support growth 10 Skill level Description of skill level Productivity 1 - aware I have read about this and understand what this means conceptually, and I think I can do it. Zero 2 – some experience I have completed training / self-learning, but I haven’t applied it enough yet to be proficient …. Or … I might also have degree in this topic but I am a bit rusty … Zero - Low 3 - Effective I am relatively proficient with a few hours of experience. But I need help when things get hard and generally take a bit of time to deliver. Low - Medium 4 - Expert I can independently operate on my own, deliver quickly, with minimal support and can solve complex problems. Often help others out when they get stuck. Medium - High 5 - Evangelist I am famous for this skill. People often ask me for help and I regularly run training sessions and/or present at conferences. High – Very High Competency Senior BIA BIA Grade 3 BIA Grade 2 BIA Grade 1 Graduate A. Requirements & Business Analysis 4 3 2 2 1 B. Data Manipulation 3 3 2 2 2 C. Data Analysis & Modelling 3 3 2 2 2 D. Storytelling & Visualisation 4 3 3 2 1 E. Results Orientation 4 4 3 3 2 F. Relationship Management 4 3 3 2 2 G. Leadership & Performance 3 3 3 2 1 Total Score (out of 5) 3.57 3.14 2.57 2.14 1.57 How we score Score for each level © Ali Khan on behalf of ADHB 2022