124 Analytics Lead jobs in South Africa

The Data and Analytics Lead is a pivotal leadership role within Omnia's Data and Analytics team, responsible for guiding the transition to a modern, scalable data environment. This role leads a team of full stack BI developers—spanning both data engineering and reporting—and is accountable for the successful delivery of governed data products and analytical solutions that support strategic decision-making across the Group. The role plays a key part in driving the execution of the Omnia Data Hub, consolidating fragmented reporting environments, and enabling a culture of self-service analytics and data product thinking across business units. This position reports to the Head of Data and Analytics and is instrumental in shaping the next generation of data capabilities at Omnia.

• Matric or NQF level 5
• BSc/BA in Computer Science, Engineering or Statistics, master's in informatics is advantageous.

Certifications:

• BI technologies (e.g., Microsoft Power BI, Oracle Business Intelligence, T-SQL)

• 8–10 years of progressive experience in Business Intelligence, Data Engineering, or Analytics roles
• Proven experience in leading or mentoring BI developers across both data engineering and reporting functions
• Strong track record of delivering end-to-end data solutions using modern data platforms (e.g., Databricks, Azure Data Services, Power BI)
• Extensive experience in designing and implementing dimensional data models (Kimball), ETL/ELT pipelines, and dashboard/report development
• Hands-on experience in managing and reconciling complex datasets to ensure data integrity and auditability
• Experience working within agile delivery environments, managing priorities across both strategic and operational workloads
• Exposure to enterprise data governance and working with sensitive or financial data sets (advantageous)

1. Team Leadership and Capability Development

• Lead, mentor, and coach a team of full stack BI developers (front-end and back-end) to deliver high-quality, governed data products
• Build a team culture focused on continuous learning, collaboration, ownership, and quality
• Identify skills gaps and lead training, onboarding, and development planning for BI team members

2. Technical Oversight and Solution Architecture

• Oversee the technical implementation of ingestion pipelines, data transformations, modeling, and reporting
• Review and approve architectural design, data models (dimensional/star schema), and Power BI semantic layer implementations
• Ensure appropriate data reconciliation, performance tuning, and production hardening of all BI solutions
• Drive alignment with modern data architecture patterns including medallion architecture, domain-driven design, and modularity

3. Strategic Execution and Data Hub Enablement

• Translate business strategy and analytical needs into executable delivery plans aligned to the Data Hub roadmap
• Drive the consolidation of siloed reporting assets into centralized, reusable, governed data products
• Own the prioritization and delivery of strategic BI initiatives across multiple business domains (finance, sales, supply chain, etc.)
• Serve as the tactical executor for the Head of Data and Analytics to operationalize the vision of a modern, scalable BI capability

4. Delivery Management and Agile Execution

• Manage agile delivery processes including sprint planning, backlog grooming, and cross-team coordination
• Ensure effective workload balance across team members and alignment of daily activities with quarterly priorities
• Track delivery progress, remove blockers, and ensure sprint outcomes are aligned to KPIs

5. Governance, Standards, and Quality Assurance

• Define and enforce best practices in development: naming conventions, documentation, testing, version control
• Ensure all data products are auditable, accurate, secure, and aligned with enterprise data governance standards
• Collaborate with Data Governance, Platform, and Master Data teams to embed policies into delivery practices

6. Stakeholder Engagement and Adoption Enablement

• Engage business users, analysts, and leadership to ensure analytics solutions address real business questions
• Drive user adoption of Power BI reports, dashboards, and self-service datasets via enablement, training, and usage monitoring
• Promote awareness of the Data Hub and its value proposition across divisions

• Creativity and Innovation
• Complex problem solving
• Critical Analytical Thinking
• Planning and Organizing
• Resilience
• Honesty and Integrity
• Customer centric
• Deadline Driven
• Collaboration

OTHER SPECIAL REQUIREMENTS:

• Must have experience working in or transitioning to a modern data stack (Databricks, Microsoft Fabric, Azure Data Lake, Power BI)
• Expected to lead and participate in architectural and governance forums to help shape the future of data at Omnia
• Ability to work across diverse ERP systems and business units, translating fragmented datasets into unified, governed data products
• Occasional after-hours or weekend availability may be required during major deployments, migrations, or production support escalations
• Must demonstrate strong initiative, ownership, and a delivery mindset in a fast-paced, evolving environment
• Comfortable engaging both technical team members and business executives, translating needs into technical roadmaps
• Will be held accountable for enabling self-service analytics and embedding a data product thinking culture

Role Summary
Leads the use of advanced analytics to drive revenue growth, enhance commercial

effectiveness, and automate opportunity and task creation. Responsible for turning customer and sales data into actionable insights that influence CRM strategies, pricing, forecasting, and CPQ (Configure, Price, Quote) processes.

Key Responsibilities

• Analyse commercial, customer, and pricing data to uncover revenue opportunities and customer buying patterns.
• Design and automate the creation of sales opportunities and tasks within CRM based on data triggers and analytics.
• Build, maintain, and refine pricing models to respond to market and transactional dynamics.
• Support and optimise CPQ processes to ensure profitability and drive higher win rates.
• Develop and manage forecasting models for accurate sales and operations planning.
• Work cross-functionally to embed data-driven decision-making into commercial strategies.
• Present insights and recommendations clearly to stakeholders at all levels.

Essential Requirements

• Proven experience in analytics within B2B sales, distribution, or industrial sectors.
• Demonstrable expertise with CRM, pricing, and forecasting platforms.
• Ability to translate complex data into clear, actionable commercial opportunities.
• Strong business acumen and commercial mindset.
• Excellent communication and stakeholder engagement skills.

Beneficial Requirements

• Experience with CPQ systems and dynamic pricing models.
• Prior involvement in systems automation and advanced analytics deployment.
• Exposure to projects that link analytics directly to sales process improvement.

Work Environment & Compensation

• Travel Requirements: Minimal.
• Working Hours: Standard business hours; occasional extended hours as business needs dictate.
• Compensation Range: In line with relevant industry benchmarks

Job Description

To provide value added business insights, recommendations and strategic input derived from in-depth data analysis, as well as conducting and analysing high quality, appropriate and cost-efficient marketing research. To develop, optimize and socialize a voice of the client strategy to drive awareness and a client-focus mindset throughout the organization. Contribute to strategy and roadmap development for advanced analytics within the organization that aligns with the businesses transformation goals of improving marketing efficiency and results, client experience and engagement, and brand health - essentially laddering up to Marketing ROI Models.

• Using subject matter expertise extract, manipulate and analyse customer and other data using analytical and data mining tools, to identify trends and draw insight.
• Engage in brand performance evaluation and scorecard development, presenting back to the team with recommendations to ensure the capability maintains and builds brand impact and position.
• Work with internal stakeholders and external agencies to deliver robust and insightful evaluation of marketing activities, highlighting key learnings and generating benchmarks for future comparisons.
• Lead the development of measurement frameworks within the Marketing and Communications team, as well as across various other areas when needed (e.g., CX).
• Lead market research projects end-to-end, providing input into the design, management of agencies and key stakeholders autonomously.
• Oversee and provide the inputs into presentations to extract insight to leverage within the business, ensuring that recommendations from the research are actioned and tracked.
• Develop and evolve appropriate brand metrics and tools to provide reports and analysis that lead to actionable strategic insights.
• Lead the process of creating intuitive data visualisation reports and dashboards for longitudinal data and setup reviews of usability in decision making.
• Prepare and deliver integrated reports drawing all pieces of information from multiple sources together and making connections to form coherent and insightful reports.
• Lead the process and approach to interpreting client, competitor, and market data and trends, and consolidate information into actionable market insight reports.
• Identify and own the delivery of continuous improvement initiatives that could increase the quality and/or speed of analysis and reporting.
• Monitor and manage media agency reporting (digital and ATL) to generate quality insights and learnings.
• Lead the discussions with business intelligence and consumer insights reports partners on the Integration of client survey data with MIS to tell the 'so what' stories around client experience and strategies.
• Lead the approach to scoping and oversee the executing of departmental reporting by providing guidance and leadership on key metrics that align to strategy.
• Build rapport with leaders in the Bank and generate buy-in on key projects and actions recommended.
• Serve as subject matter expert in research, insights, and analytics, delivering insights into business strategy and digital transformation in the bank.
• Pro-actively engage with stakeholders to determine business and marketing needs, determine appropriate analytics requirements, and deliver actionable insights and recommendations.
• Use data to influence management and project stakeholders across various product teams and the wider business.
• Effectively manage relationships with agency partners.
• Post
  

#RMB

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Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

25/09/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

We have partnered with a rapidly-growing company in the FinTech space in South Africa to source them a BI Analytics Team Lead.

We are seeking an experienced and commercially minded
Business Intelligence Analysis Team Lead
to drive the delivery of high-quality, scalable, and impactful data solutions. This role will suit a strong leader with deep technical expertise in data modelling, analytics, and business intelligence, as well as proven experience guiding a team to deliver insight-driven outcomes that support strategic business objectives.

Key Responsibilities:

• Partner with stakeholders across all levels and business areas to design and implement data-driven solutions that enable strategic execution.
• Lead and mentor a team of analytics specialists, ensuring the delivery of accurate, scalable, and actionable BI and analytics outputs.
• Translate business requirements into robust data models, reporting layers, and analytics specifications.
• Create and manage project roadmaps, proactively addressing risks, issues, and dependencies.
• Present data and insights in an intuitive, impactful way to improve business decision-making.
• Provide training and guidance to end users on BI tools, reports, and interpreting analysis results.
• Drive team performance by setting clear expectations, providing feedback, and fostering a culture of continuous improvement.
• Identify and resolve delivery bottlenecks, ensuring projects are completed to a high standard and on time.
• Contribute to data governance, standards, and best practices across analytics and data warehousing.
• Actively participate in hands-on delivery, including:
• Data profiling and validation for quality assurance.
• Building high-performance, scalable, and maintainable semantic models.
• Developing self-service-ready reporting layers and dashboards.
• Conducting advanced data analysis to support strategic decisions.
• Embed DevOps practices into BI development, including version control, automated testing, and CI/CD.
• Stay current with new developments in BI tools, methodologies, and practices to enhance team capability.

Key Requirements:

• Matric / Grade 12 or equivalent (Essential).
• Degree or equivalent qualification in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Actuarial Science, Economics, Finance, Business Analytics) OR relevant practical experience.
• 6+ years' experience in Data Analytics or Business Intelligence, delivering projects with measurable business impact.
• 3+ years' experience leading a BI or Data Analytics team.
• Expertise in semantic modelling and dimensional modelling (e.g., Kimball methodology).
• Advanced SQL (development and optimisation) and Excel skills.
• Proficiency with modern BI tools (Power BI preferred).
• Experience in at least some statistical/analytical techniques such as time series analysis, scenario analysis, clustering, regression, forecasting, or probability distributions.
• Experience with cloud-based analytics platforms (e.g., Snowflake, Redshift, Azure Synapse, BigQuery).
• Knowledge of DevOps practices in analytics environments.
• Excellent stakeholder engagement skills, with the ability to communicate complex concepts to both technical and non-technical audiences.
• Highly organised with the ability to manage multiple priorities and remain focused under pressure.
• Growth mindset with a passion for continuous learning.
• MUST HAVE:
  Statistical Analysis experience - A/B testing, regression, clustering
• MUST HAVE
  : Sales Data/ Consumer Data project experience

Desirable Skills:

• Experience in industries such as Financial Services, Consulting, Retail, Technology, or high-growth businesses.
• Programming experience in R or Python for analytics.

This position is open to candidates based in both Cape Town and Johannesburg.

Job Description:

Responsibilities:

• Data Collection & Cleaning: Extract, cleanse, and organize data from various sources including Google Analytics, Adobe Analytics, Facebook Ads Manager, Google Ads, LinkedIn Ads, and SEO tools.
• Reporting & Visualization: Create visually compelling and informative reports using Looker Studio (Data Studio), Power BI, and other data visualization tools.
• Data Analysis & Insights: Analyze data trends, identify key performance indicators (KPIs), and formulate actionable recommendations based on insights gained.
• Campaign Performance Tracking: Monitor campaign performance, analyze key metrics, and provide regular reports on campaign progress.
• Collaboration & Communication: Work closely with the team to understand client needs, share insights, and present findings effectively.
• Contribute to the development of data-driven strategies: Contribute to the development and implementation of data-driven strategies to enhance client campaign performance.

Qualifications:

• Bachelor's or Diploma Data Analytics, Business Analytics, Marketing, Statistics, Computer Science, or a related field is an added advantage.
• Strong understanding of digital marketing concepts and key performance indicators.
• Proficiency in data visualization tools such as Looker Studio (Data Studio) and Power BI.
• Familiarity with Google Analytics and other web analytics platforms.
• Experience with data extraction and manipulation techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team.

Bonus Points:

• Familiarity with programming languages like SQL, Python, or JavaScript.

• Knowledge of SEO, SEM, and social media marketing.

What We Offer:

• A fast-paced and dynamic work environment.
• The opportunity to work with leading brands and contribute to impactful campaigns.
• Mentorship from experienced professionals in the field.
• Hands-on experience with cutting-edge data analytics tools and techniques.
• A chance to build a strong portfolio of work and gain valuable industry experience.

Work with us:

It's an opportunity to produce career-defining work. Along the way, you'll team up with inspiring colleagues and encounter a richness of clients, cultures and experiences. We offer exciting challenges, memorable experiences and opportunities to shape your future.

Inclusion and Diversity:

We're proud to be different and that starts with our people. We believe in equal opportunities for everyone. We won't define people by their race, gender, sexual-orientation, age or disability. Individuality is what makes us great, we want everyone to bring their full self to work and create something amazing. That's what we care about. So, whether you're joining us, or looking to move to a different part of the business, we work hard to make sure we create equal opportunities for everyone.

Location: Cape Town

Contract Type: Internship Fixed Term Contract

Closing date: 2 November 2025

Location:

Cape Town

Brand:

Amplifi

Time Type:

Full time

Contract Type:

Student/Intern (Fixed Term) (Fixed Term)

Overview:

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

Main purpose of position

Currently we are looking for a Data Analytics & AI Lead in Cape Town, South Africa to be part of our global team working together towards our vision – Improving our future. As our Data Analytics & AI Lead you will lead the design and expansion of the Data & Analytics Platform through hands-on work in Azure Databricks, work closely with global teams and Digital & IT to align data needs and integrate solutions, drive adoption of data-driven workflows in partnership with business stakeholders, and develop AI use cases that support strategic decisions.

Main responsibilities

• Lead the development and implementation of data analytics and AI strategies to drive business growth and innovation.
• Oversee the design and execution of data-driven projects, ensuring alignment with organizational goals and objectives.
• Guide the platform's evolution by adopting Modern Data Architecture practices, including Infrastructure as Code (IaC) and Azure DevOps for agile development and operations (DataOps).
• Collaborate with cross-functional teams to integrate data analytics and AI solutions into existing systems and processes, ensuring seamless adoption and scalability.
• Stay abreast of industry trends and advancements in AI and data analytics, incorporating relevant insights into strategic planning and execution.
• Provide guidance and mentorship to team members, fostering a culture of continuous learning and improvement.
• Work closely with the Head of Enterprise Architecture to ensure alignment and integration of the Data & Analytics Platform within the broader enterprise architecture landscape.
• Ensure compliance with data privacy and security regulations, maintaining the integrity and confidentiality of sensitive information

Qualifications and competencies

• 8+ years of relevant experience in data architecture, data management and data modelling
• Extensive experience in data architecture, particularly within a modern data environment utilizing Azure Databricks, dbt, Terraform, and Azure DevOps.
• Significant hands-on experience in data engineering, including but not limited to the development and optimization of data pipelines, data modelling, and data lakehouse.
• Proven track record in leading the development and expansion of large-scale data platforms, preferably within a Modern Data Architecture deployment.
• Strong familiarity with cloud-based data solutions, particularly within the Azure ecosystem.
• Experience leading and managing cross-functional teams, including business analysts, data analysts, and data engineers.
• Interest in data analytics trends and advancements, e.g. AI, Industry 4.0
• Expertise in SQL and Python for advanced data manipulation, modelling, analysis, and processing within a Data Lakehouse context.
• Familiar with modern data transformation tools, such as dbt
• Strong experience with Azure cloud data services, particularly those relevant to Data Lakehouse architecture such as Azure Data Lake Storage, Azure Databricks, and related technologies.

Personal characteristics

It is part of every employee's terms of reference to contribute to Scatec's vision: Improving our Future and adhere to our company values which are:

• Predictable: demonstrate clear communication and listening skills, shares information in an open and honest way
• Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
• Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
• Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude

For the particular role we also expect

• Demonstrated ability to implement and manage data solutions that align with the principles of Modern Data architecture, specifically within the framework of a Data Lakehouse model.
• Strong data modelling capability, conceptual modelling, dimensional modelling, knowledge graphs
• Fluent (both written and spoken) in English

We offer

Scatec is an exciting, innovative and ambitious company operating in a growing industry. We offer a challenging and interesting position where you will be part of a flexible, diverse and truly international working environment consisting of highly competent and committed colleagues with a positive drive to make a difference.

Scatec is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.

Applications will be processed on a continuous basis

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

Main purpose of position
Currently we are looking for a
Data Analytics & AI Lead
in
Cape Town, South Africa
to be part of our global team working together towards our vision –
Improving our future.
As our
Data Analytics & AI Lead
you will lead the design and expansion of the Data & Analytics Platform through hands-on work in Azure Databricks, work closely with global teams and Digital & IT to align data needs and integrate solutions, drive adoption of data-driven workflows in partnership with business stakeholders, and develop AI use cases that support strategic decisions.

Main Responsibilities

• Lead the development and implementation of data analytics and AI strategies to drive business growth and innovation.
• Oversee the design and execution of data-driven projects, ensuring alignment with organizational goals and objectives.
• Guide the platform's evolution by adopting Modern Data Architecture practices, including Infrastructure as Code (IaC) and Azure DevOps for agile development and operations (DataOps).
• Collaborate with cross-functional teams to integrate data analytics and AI solutions into existing systems and processes, ensuring seamless adoption and scalability.
• Stay abreast of industry trends and advancements in AI and data analytics, incorporating relevant insights into strategic planning and execution.
• Provide guidance and mentorship to team members, fostering a culture of continuous learning and improvement.
• Work closely with the Head of Enterprise Architecture to ensure alignment and integration of the Data & Analytics Platform within the broader enterprise architecture landscape.
• Ensure compliance with data privacy and security regulations, maintaining the integrity and confidentiality of sensitive information

Qualifications And Competencies

• 8+ years of relevant experience in data architecture, data management and data modelling
• Extensive experience in data architecture, particularly within a modern data environment utilizing Azure Databricks, dbt, Terraform, and Azure DevOps.
• Significant hands-on experience in data engineering, including but not limited to the development and optimization of data pipelines, data modelling, and data lakehouse.
• Proven track record in leading the development and expansion of large-scale data platforms, preferably within a Modern Data Architecture deployment.
• Strong familiarity with cloud-based data solutions, particularly within the Azure ecosystem.
• Experience leading and managing cross-functional teams, including business analysts, data analysts, and data engineers.
• Interest in data analytics trends and advancements, e.g. AI, Industry 4.0
• Expertise in SQL and Python for advanced data manipulation, modelling, analysis, and processing within a Data Lakehouse context.
• Familiar with modern data transformation tools, such as dbt
• Strong experience with Azure cloud data services, particularly those relevant to Data Lakehouse architecture such as Azure Data Lake Storage, Azure Databricks, and related technologies.

Personal characteristics
It is part of every employee's terms of reference to contribute to Scatec's vision: Improving our Future and adhere to our company values which are:

• Predictable: demonstrate clear communication and listening skills, shares information in an open and honest way
• Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
• Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
• Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude

For the particular role we also expect

• Demonstrated ability to implement and manage data solutions that align with the principles of Modern Data architecture, specifically within the framework of a Data Lakehouse model.
• Strong data modelling capability, conceptual modelling, dimensional modelling, knowledge graphs
• Fluent (both written and spoken) in English

We offer
Scatec is an exciting, innovative and ambitious company operating in a growing industry. We offer a challenging and interesting position where you will be part of a flexible, diverse and truly international working environment consisting of highly competent and committed colleagues with a positive drive to make a difference.

Scatec is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.

Applications will be processed on a continuous basis

Eduvos is looking to hire the services of an Independent Contractor, Data Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

• Lead the design and execution of the organization's data management and analytics strategy, aligned with business priorities.
• Champion data governance, quality, and compliance to meet South African regulatory standards.
• Oversee the architecture, ingestion, and maintenance of enterprise-wide data, ensuring consistency and reliability.
• Drive analytics use cases for key support functions (Finance, Risk, HR, and Actuarial), embedding data insights into day-to-day decision-making.
• Collaborate with IT to maintain scalable and compliant data infrastructure and pipelines.
• Build and lead a high-performing team, fostering a culture of ownership and performance excellence.

• Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or similar (Masters preferred).
• 8+ years in data, analytics, or tech-related roles within financial services, telecoms, or insurance.
• 3+ years in a senior leadership or enterprise data management capacity.
• Proven success in implementing large-scale data governance, analytics, and architecture strategies.
• Strong technical background in Azure Synapse, SQL, and data integration tools.
• In-depth understanding of South African data governance and regulatory compliance.
• Strategic thinker with the ability to bridge business and technology.
• Strong communication and presentation skills - confident engaging with executives.
• Ability to lead, coach, and inspire a multi-disciplinary data team.
• Passion for driving continuous improvement and innovation through data.