Top Data & Analytics Jobs

Oversee B2B market research programs from questionnaire design through analysis, reporting, and client presentation. Manage client relationships, develop quantitative and qualitative insights, apply statistical methods such as MaxDiff, regression, and conjoint, and communicate actionable recommendations. The role also includes project management, analyst training and delegation, proposal writing, pitching, and marketing content creation.

Analyzes and improves Membership Operations performance through KPI development, data modeling, Power BI dashboards, automated reporting, trend analysis, and measurement plans. Identifies operational risks, bottlenecks, billing and payment friction, and member experience impacts. Presents findings and recommendations to leadership while collaborating with IT, data, sales, and service teams. Supports process improvements, training enhancements, technology implementations, and ongoing operational optimization.

Leads the Data Engineering team, manages priorities and delivery, and partners with analytics, data science, and business stakeholders. Oversees scalable ETL/ELT pipelines, data platforms, warehousing, streaming, reliability, incident response, security, governance, and compliance. Drives engineering standards, CI/CD, testing, Agile practices, cost optimization, architecture decisions, and continuous improvement while mentoring engineers and ensuring dependable data operations in an Azure environment.

Owns performance measurement, recurring KPI reporting, dashboards, experiment measurement, forecasting, capacity models, business-case analysis, and data integrity for Operations initiatives. Partners with Growth, Engineering, Data, Product, Finance, and Operations leaders to explain metric changes, support strategic planning, and turn successful experiments into operating playbooks.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, reporting standards, adoption, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable, secure, trusted BI products. Manages and develops the BI team, prioritizes demand, translates business needs into delivery plans, monitors product value, and provides technical guidance on complex initiatives.

Own end-to-end customer data migrations from legacy databases and files into GovPilot. Use AI coding agents to profile data, create mappings, generate transformation and loading scripts, automate validation, and build reusable migration pipelines. Review and correct AI-generated SQL and scripts, identify data quality issues, maintain auditable migration logic, manage multiple client migrations, and support evening or weekend production go-lives.

Leads Market Risk data quality investigations from root-cause analysis through remediation, validation, governance, and closure. Partners with Risk, Technology, Front Office, Operations, Finance, and Data Governance teams to resolve complex data issues, strengthen controls, support regulatory reviews, and improve data reliability. The role requires expertise in Market Risk processes, data governance, lineage, controls, reconciliations, SQL-based analysis, and executive stakeholder communication.

Leads complex data engineering workstreams and mentors engineers while designing scalable pipelines and cloud data infrastructure. Integrates marketing data from GA4, advertising platforms, CRMs, and CDPs into reliable datasets. Collaborates with machine learning teams on model training and serving, establishes engineering and data quality standards, and applies AI-enabled development workflows. Partners with stakeholders to deliver product-minded data solutions and drives process improvements, documentation, monitoring, and knowledge sharing.

Leads the vision, architecture, roadmap, and delivery of the agency’s data platform and engineering organization. Designs scalable data systems, selects cloud tooling, establishes engineering standards, and activates data for analytics, predictive models, and generative AI. Partners with leadership, clients, and machine learning teams; manages budgets and priorities; leads governance, privacy, and security practices; and hires, mentors, and develops engineering talent.

Own Savvy’s end-to-end financial and operational data architecture, including centralized modeling, governance, metric definitions, data quality, reconciliation, reporting automation, and self-service BI adoption. Partner with finance, operations, compliance, engineering, and executives to establish durable data systems and technical direction. Help shape and scale the company’s data function and potentially build an early-stage team.

Leads business performance reporting and analytics for Mars’s salty snacks portfolio. Owns dashboards, scorecards, and KPI reports; translates complex data into actionable insights and strategic recommendations; analyzes category, brand, competitive, and syndicated data; collaborates with finance, marketing, commercial, and consumer insights teams; and presents executive-ready recommendations to internal and external stakeholders.