Top Entry Level Data & Analytics Jobs

Conduct media, social, and policy research to identify reputational issues, risks, and narratives. Prepare alerts, briefings, reports, presentations, and recommendations for clients. Support monitoring, benchmarking, communications measurement, data organization, quality control, and analysis using Excel and research tools. Collaborate with account teams, participate in client meetings, manage deadlines, incorporate feedback, and help improve research quality.

Coordinates data management, quality improvement, performance measurement, and program evaluation for the Prevention and Advocacy Division. Collects, analyzes, and reports program data; maintains accurate databases; develops dashboards and reports; supports audits and regulatory reporting; monitors data quality; and identifies process improvements. Collaborates with leadership, internal teams, external stakeholders, committees, and workgroups to improve program outcomes and ensure compliance with data security and reporting standards.

Develops durable data literacy, AI readiness, data quality, and user acceptance testing resources across IYT. Responsibilities include researching staff workflows, creating Salesforce data references and training modules, developing AI prompt libraries, establishing regional data stewardship and quality scorecards, designing testing and bug-reporting processes, documenting SOPs, and transitioning ownership to internal staff. The role requires strong organization, documentation, communication, independent project structuring, and proficiency with cloud collaboration tools.

Experiential learning program introducing students to market research and analytics. Participants receive scholarships, technical training, mentorship, professional development, and experience using consumer data to solve real-world business challenges. They will translate data into actionable client insights and present a final case study. The program is intended for juniors graduating between 2027 and 2029 who are interested in insights, data analytics, paid media, market research, CPG, or retail.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.

Develops and delivers standard and customized client reports, validates performance data, creates new reporting solutions, and supports automation initiatives. The role investigates reporting issues, resolves client and internal requests, coordinates with IT, maintains documented processes, and assists with GIPS compliance, account setup, performance reporting, and related projects.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Develops and oversees data strategies and architectures for Tech Ops IT. Translates business requirements into technical solutions, supports data modeling and warehouse integration, establishes standards for BI and advanced analytics, ensures data quality and integrity, coordinates warehouse changes with reporting teams, and recommends technology and process improvements.

Build and own Shepherd’s canonical analytical layer using dimensional modeling and dbt. Partner with actuarial, reporting, operations, engineering, and other data consumers to define trusted business entities, facts, dimensions, relationships, and rules. Establish testing, reconciliation, documentation, lineage, and adoption practices; evaluate and migrate existing models and datasets; and shape semantic context for human and AI-assisted analytics.

Onboard and maintain global hospitality data for Business Intelligence solutions. Coordinate integrations with hotel technology providers, validate reservation and occupancy data, manage mappings and historical loads, troubleshoot discrepancies using SQL and Unix/Linux tools, and improve data governance and quality controls. The role serves as a liaison among customers, partners, and internal teams while driving onboarding projects through validation, approval, and production activation.