Top Data & Analytics Jobs

Analyzes retail, e-commerce, platform, and user data to generate business insights, improve user experience, and support growth. Translates data needs into reporting systems and data products, partners with data engineers on the data platform, and promotes data-driven decision-making across business teams.

Leads integrated project, programme, and portfolio reporting across a complex infrastructure environment. Develops reporting frameworks, governance standards, dashboards, executive summaries, and performance insights using project controls data. Partners with senior stakeholders, Programme Controls, Digital, and project teams to improve data quality, automate reporting, support governance, and enable evidence-based decision-making. Provides reporting best-practice guidance and drives continuous improvement across the Project Delivery Directorate.

Analyze retail, e-commerce, and user data to generate growth and user-experience insights. Translate business data needs into reporting, data products, and platform solutions. Partner with business, product, technology, and data engineering teams to develop the data platform, respond to analytics requests, validate hypotheses, and promote effective use of data across the organization.

Support Investor Relations and External Communications by collecting, analyzing, and interpreting data to generate commercial insights. Collaborate with stakeholders to deliver analyses, present strategic recommendations to senior leadership, and work with international data and software teams to improve data systems and client relationship management.

The Senior Data Scientist will lead data-driven projects, develop predictive models, conduct data analysis, and collaborate with stakeholders to innovate solutions in the energy sector.

Lead a quantitative modeling team to develop and govern credit underwriting, pricing, collections, and portfolio risk models. Collaborate with stakeholders on acquisition pricing, marketing optimization, M&A risk assessment, and model validation. Oversee model performance, governance, and implementation to support lending strategies and maximize profitability while minimizing credit losses.

Own and operate the Snowflake warehouse and Sigma semantic layer; manage ingestion (Fivetran), dbt model scoping and review, reverse-ETL, data quality SLAs, dashboards, month-end financial analytics, vendor management, and automation to support AdOps, Sales, Finance, and executive reporting.

Designs, develops, tests, deploys, and monitors scalable data pipelines using Azure Data Factory, Databricks, Python, SQL, and dbt. Integrates source systems with data warehouses and other platforms, automates data processes, improves infrastructure scalability, and supports data migrations during mergers and acquisitions. Ensures data security, privacy, retention, and effective enterprise data management.

Design, develop, test, and maintain client-facing software across web, backend, mobile, APIs, and automation. Translate business requirements into technical solutions, write clean code, participate in code reviews, troubleshoot and optimize applications, and recommend architectural improvements. Collaborate with clients and stakeholders, manage project priorities, mentor junior developers, and stay current with modern technologies.

Design, build, and administer CMAP’s enterprise GIS platform, data pipelines, APIs, and analytical frameworks; set standards, deliver training, create self-service spatial tools, and collaborate with stakeholders to integrate spatial analysis into planning workflows.