Top Entry Level Analysis Reporting Jobs

Conduct software category research, develop product taxonomies and review questions, contribute analysis to buyer guides and reports, write thought-leadership articles, and support review quality control. The role requires strong writing, research ability, technology enthusiasm, attention to quality, and collaboration in a fast-paced startup environment.

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.

Collects and analyzes pit stop performance data across NASCAR, IndyCar, and sportscar programs. Responsibilities include filming and archiving practice footage, synchronizing video with timestamps, building analytical models, maintaining performance databases, and producing reports for coaches, engineers, and pit crews. The role requires advanced Excel, Microsoft Office, video analysis software, strong attention to detail, motorsports knowledge, and willingness to travel to racetracks and work weekends.

Supports end-to-end market research projects, including questionnaire and discussion guide development, data collection, quality control, analysis, visualization, reporting, and client-ready deliverables. Collaborates with internal teams and subcontractors while developing expertise in quantitative and qualitative research methodologies, software, and technology platforms. The role requires strong communication, analytical thinking, organization, attention to detail, and eagerness to learn.

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.

Produces regular, ad hoc, and specialized internal and client reports; manages reporting schedules and distribution lists; investigates data inconsistencies; gathers stakeholder requirements; communicates findings; and compiles data for business analysis. The role requires Excel and Windows proficiency, troubleshooting ability, strong communication and customer service skills, prioritization, and independent work. Previous reporting experience and ProLaw knowledge are preferred.

Extracts and analyzes business data using statistical analysis, data mining, modeling, dashboards, and routine reporting. Maintains analytical models, documents audit trails, identifies relationships and underlying issues, and provides fact-based recommendations and solutions. Uses Microsoft Office, Power BI, and Adobe Acrobat Pro to support process development and capture business operations information.

Develop and maintain enterprise manufacturing dashboards, KPI scorecards, and executive reports across multiple plants. The role standardizes metrics, analyzes operational performance, consolidates ERP data, validates reporting accuracy, resolves data quality issues, and automates reporting. It partners with plant leadership, Operations, Finance, IT, and Data Stewards to identify trends, benchmark performance, and support data-driven decisions.