Top Entry Level Analysis Reporting Jobs in NYC, NY

Develop interactive Power BI dashboards and automated reporting processes using existing databases. Analyze Institutional Review Board data to identify trends, performance metrics, workflow improvements, and actionable operational insights. Collaborate with stakeholders, manage multiple projects and deadlines, and support administrative or project-specific responsibilities. The role is hybrid, grant-funded through November 2027, and requires residence in New York, New Jersey, or Connecticut.

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.

Maintains Salesforce pipeline data quality, governance, dashboards, KPI reports, and executive management information. Analyzes conversion, win/loss performance, portfolio concentration, recompete exposure, forecasting, and pipeline risk. Supports pipeline reviews, prioritization, financial reconciliation, scenario analysis, and continuous process improvement while coordinating actions with opportunity owners, Finance, Growth, and leadership.

The Director, Data Insights serves as the primary data advisor to executives and external stakeholders. Responsibilities include translating analytics into board-ready narratives, influencing strategic decisions, aligning data roadmaps with business value, resolving cross-functional priorities, promoting data-driven culture, and conducting rapid analyses using agentic tools.

Leads the team producing bespoke analytics, executive narratives, and client-ready materials for business reviews, renewals, save plans, and value realization. Builds intake, prioritization, quality, capacity planning, and delivery processes while partnering cross-functionally with client management, success, advisory, product, and commercial teams. Coaches a high-output team and develops reusable templates and storytelling standards that improve scalability, cycle time, and executive communication.

Delivers recurring and ad hoc financial, operational, and productivity analytics across departments. Analyzes billing, collections, inventory, staffing, utilization, profitability, and other performance metrics. Develops reports, dashboards, written analyses, and executive summaries; maintains reporting tools, databases, templates, and visualizations; validates data quality; and collaborates with finance teams on strategic and operational initiatives.

Build AI-assisted analyses, clean and validate scholar data, create interactive dashboards, develop fair analytical methodologies, and translate findings into clear recommendations for executives. Partner with data and learning teams and present insights to senior leaders. The role emphasizes quantitative reasoning, clear communication, design judgment, high agency, and rapid learning rather than a specific background or number of years of experience.

Lead workforce analytics and planning for Neko Health’s US expansion. Build labor forecasts, staffing models, dashboards, and scheduling tools from scratch; analyze productivity, utilization, labor costs, absenteeism, overtime, and coverage. Apply AI and machine-learning methods to improve shift design, forecasting, and workforce efficiency. Partner with HR, Operations, and Medical Operations while supporting rota scheduling and shift coverage across multi-site clinics.

Own daily data operations, including data collection, pipeline monitoring, quality validation, root-cause investigation, SQL-based cleaning, and Metabase dashboards. Partner with engineering and deployment teams to resolve data issues, standardize metrics, document processes, and build tooling that improves reliability and scalability for government clients.

Own subscription marketing and lifecycle analytics, including acquisition, retention, churn, CRM performance, attribution, engagement, cohort analysis, dashboards, and data quality. Write SQL queries, evaluate campaigns and offers, identify retention drivers, and translate findings into recommendations for marketing and cross-functional stakeholders.