Top Data & Analytics Jobs

Own the organization’s data and analytics foundation by integrating multi-source data, defining trusted metrics, resolving data quality issues, and building executive dashboards in Power BI and Claude. Partner with leadership and data architecture teams on predictive models, forecasting, governance, automation, and self-service analytics. Translate business needs into scalable data models and reporting solutions while serving as a cross-functional analytics thought leader.

Serves as a hands-on technical lead for enterprise data engineering across multiple value streams. Designs and implements data pipelines, ETL/ELT processes, warehouses, marts, models, and integrations across cloud and on-premises systems. Makes technical design decisions, conducts code reviews, solves complex engineering challenges, establishes best practices, mentors engineers, and partners with architects, product owners, analysts, and stakeholders to deliver scalable, secure, reliable data solutions.

Supports client implementations by designing and troubleshooting data integrations across clients, vendors, banks, and health plans. Uses SQL, APIs, ETL frameworks, relational models, and data validation practices to maintain integrity and compliance. Leads automation, client conversion, integration, and process-improvement projects; coordinates agile delivery phases, requirements, documentation, and deployment. Provides technical consulting, mentors analysts and associates, and partners with architects, product owners, engineers, and client operations teams.

Research and verify B2B data for ZoomInfo’s Scoops product. Responsibilities include gathering information from online sources, reviewing content for relevance, updating records, conducting quality assurance, identifying data errors, supporting data cleanup, testing dataset health, and evaluating automated data models. The role requires accurate data entry, strong attention to detail, independent prioritization, and clear communication.

Lead the architecture and development of Penn Foster Group’s Databricks-based cloud data platform. Build scalable batch, streaming, CDC, and API pipelines using Python, SQL, Spark, and Azure; establish engineering standards, governance, observability, and CI/CD practices; develop AI-ready semantic data products; and mentor data engineers. Partner with BI, product, security, governance, and MLOps teams to support analytics, machine learning, generative AI, and self-service reporting.

Supports quantitative consumer research from survey design and vendor coordination through data cleaning, analysis, and presentation of actionable insights. Partners with investment teams and portfolio business leaders on market, brand, competitive, and category research, including fast-turn diligence requests. Maintains research tools and datasets, works with syndicated data, and translates findings into clear business implications. The role is in-office and requires confidentiality when handling non-public deal information.

Designs and optimizes enterprise data solutions, including scalable cloud data pipelines, repositories, dashboards, reporting, and analytics capabilities. Develops SQL and Python-based ETL/ELT processes, enforces data governance and privacy controls, and leads AI/ML model integration and lifecycle management. Partners with stakeholders using Agile practices to deliver technical projects and provide reliable decision-support solutions.

Leads CRM and personalization analytics, including campaign measurement, customer and lifecycle insights, experimentation, audience development, data-quality validation, KPI reporting, and dashboard creation. Translates customer and campaign data into recommendations on targeting, offers, messaging, timing, channel mix, retention, and customer value. Partners cross-functionally with marketing, loyalty, product, engineering, and data teams while mentoring junior analysts and communicating findings to senior stakeholders.

Leads Mod Op’s Data and Marketing Technology team, overseeing people management, marketing technology strategy, client and partner engagements, team training, and technical guidance. The role connects data engineering and analytics with marketing needs, guiding work across Salesforce, Adobe, Adobe Journey Optimizer, CRM, CDP, cloud data platforms, campaign data, customer lifecycle analysis, and marketing measurement. Responsibilities include mentoring team members, shaping team positioning, leading strategic initiatives, and supporting data modeling and advanced analytics.

Supports analytics product improvements by researching data issues, designing reports, documenting business requirements, developing use cases, and conducting user acceptance testing. The role creates training materials, facilitates user training, supports credit unions and internal users, promotes business intelligence practices, and helps transition analytics solutions into business operations.