Top Entry Level Data & Analytics Jobs

Leads master data governance, quality, lifecycle management, and operational improvement for Innovative Medicine Quality Management and Digital. Defines MDM strategy, standards, ownership, controls, metrics, and workflows across product, supplier, equipment, organization, and reference data. Partners with business and technology stakeholders to resolve data issues, support compliance and audits, improve integrations, and drive adoption of governance practices. Mentors data stewards and influences enterprise-wide data quality and management initiatives.

Analyzes qualitative and quantitative program data, client outcomes, and interventions for street outreach and transitional housing programs. Manages data processes, reporting, documentation, data quality checks, and reporting automation. Supports evidence-based decision-making, coordinates with internal departments and external stakeholders, and helps design larger-scale data projects.

Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

Lead customer data engineering delivery for US utility customers, managing implementation timelines, resourcing, quality, escalations, and team performance. Hire, coach, and develop customer data engineers while coordinating with Product, Data Platform, Power Engineering, Customer Success, and Commercial teams. Own implementation standards, data requirements, documentation, process improvement, automation, customer-specific data exceptions, and continuous delivery improvements across global regions.

Coordinates continuous quality improvement activities for social service programs, including referral intake, case record reviews, data collection, quality assurance, KPI tracking, trend analysis, and reporting. Trains staff on database systems, presents findings, supports grant writing, maintains program logs, monitors case documentation, and communicates with internal teams, ACS, and community partners.

Architect scalable cloud-based data and mission internet systems supporting collection, exploitation, analysis, and operational environments. Configure AWS or Azure networking, security, storage, logging, routing, backups, VPN tunnels, and multi-cloud obfuscation. Implement cloud-hosted Android emulation, conduct infrastructure fingerprinting, produce technical architecture documentation, evaluate technologies, and brief review boards. Preferred work includes troubleshooting data transfers, supporting authorization and accreditation, developing security controls, gathering requirements, and assisting with infrastructure project management.

Analyzes client data for quality, consistency, and performance insights; researches data questions and escalations; builds SQL or similar queries; creates reports; tracks anomalies and resolutions; and collaborates with client success and internal teams to address support requests. The role also requires maintaining client-specific data expertise, communicating updates through tickets, and identifying opportunities for improved client performance.

Summer Analyst on Citi’s Markets Quantitative Analysis team, developing quantitative models and analytics for derivatives, algorithmic execution, trading strategies, and risk management. The role includes a structured training program, quantitative modeling desk placement, a summer project, data science competition, desk rotations, and presentations to senior leadership. Candidates should have strong mathematical, statistical, programming, artificial intelligence, and machine learning skills, plus an interest in financial markets.

Analyzes internal and external sales, product, customer, promotional, pricing, and market data. Develops recurring reports, dashboards, scorecards, and business reporting packages for Sales, Marketing, Finance, and leadership. Identifies trends, risks, growth opportunities, and promotional ROI while supporting forecasting, budgeting, strategic planning, data quality, and automated reporting initiatives. Translates complex findings into actionable recommendations and presentation materials for stakeholders and customer meetings.

Leads the strategy, architecture, governance, delivery, and optimization of Collette’s digital analytics ecosystem. Owns data layers, event tracking, tag management, consent controls, downstream marketing integrations, technical standards, roadmaps, testing, compliance, and operational support models. Aligns engineering, marketing, product, analytics, privacy, and operations stakeholders while building and managing the digital analytics engineering organization.