Top Data Analyst Jobs

Partner with Product, Marketing, Growth, Engineering, and Business teams to analyze user behavior, build dashboards and self-serve reports, support A/B testing and experiment measurement, create user segments and cohorts, monitor KPIs, and communicate actionable insights to stakeholders to improve engagement, conversion, retention, and campaign performance.

Lead GHG inventories and sustainability reporting for real estate clients; manage data collection, onboarding to Conservice's platform, quality-checking, and client communications. Produce analyses (e.g., SB 253, embodied carbon), prepare reports and submissions, collaborate with internal teams and external assurers, and drive process improvements to support sustainability program delivery.

Lead the definition and execution of enterprise investment data strategy. Analyze investment datasets and workflows, identify data quality and lineage issues, design logical data models and metadata standards, drive governance and reusable data services, and partner with portfolio managers, quants, and technology teams to deliver scalable data solutions and AI-enabling capabilities.

Merge and consolidate complex claims data, produce standardised and bespoke reports, analyse trends and anomalies, present findings to clients, engage stakeholders and manage analytics initiatives. Support SLAs/KPIs, drive efficiency and automation with analytics teams, and maintain technical skills while contributing to continuous improvement.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

As a Data Analyst Intern, you will assist in data collection, cleaning, analysis, and visualization to support business decisions in a remote setup.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

Analyze ODOT asset management systems and databases (SQL, Oracle, Access, GIS/LiDAR); document current state; define future-state options; recommend data management best practices; develop and maintain data standards and asset documentation.

Analyze interview and exercise transcripts to extract structured qualitative findings using NLP and qualitative methods (thematic coding, discourse analysis). Conduct sentiment analysis, produce written reports and visualizations, collaborate with data and readiness teams, and support data/knowledge management practices.

Analyze purchasing opportunities and market trends to prevent stock outs and pricing losses. Collaborate with QC and sales, create purchase orders, produce regular reports, and support data-driven decision making.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

As a Data Analyst, you'll analyze operational data, build dashboards, and partner with teams to drive decisions through data insights.

The Data Analyst will manage LesBaird Consulting's RMA process, maintain accurate Install Base data, and implement process improvements across operations.

Perform data analysis, develop KPIs and dashboards, build reports and visualizations, manage and integrate data sources, support client-facing marketing and communications projects, apply predictive and machine learning techniques, and present actionable insights to stakeholders to improve campaign and program performance.

As a Data Technologist, you manage client data intake, sanitization, and organization, collaborating with engineering teams to ensure accurate data processing and quality assurance.

Lead strategic analytics and partner with senior leadership to drive growth, margin, and retention initiatives. Build interactive reporting (Python/Streamlit, BigQuery-connected Google Sheets), perform deep EDA in Jupyter, model and clean data with SQL and dbt, integrate secure AI-assisted tools and automation, ensure analytical quality, and translate insights into measurable business outcomes.

Analyze and improve manual operational processes, define problem scope, develop process-improvement solutions using Excel/VBA, create queries and reports, and present findings to drive automation and efficiency.

Designs and maintains curated data repositories and ETL for enterprise analytics. Analyzes complex datasets, develops data models and pipelines, documents system designs, mentors analysts, and communicates findings to senior management using SQL, Python, BI tools, and data governance practices within financial compliance functions.

Transform Medicare/CMS claims into reproducible measures and benchmarks for Home Health and Hospice. Build and optimize SQL-based extracts in BigQuery, translate CMS methodologies into analytics, validate metrics against CMS benchmarks, investigate data quality, prepare outputs for BI tools, and collaborate with product and engineering teams.

As a GTM Data Analyst, you will provide insights for upper funnel initiatives, measure brand marketing effectiveness, analyze engagement, and collaborate cross-functionally for informed marketing strategies.

The Senior Revenue Operations Analyst will ensure data quality across systems, integrate third-party data into CRM, define quality metrics, and collaborate cross-functionally to improve data processes.

The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Lead product analytics to measure and improve product and platform performance. Build data solutions and self-service tools, perform BI and visualization, mine diverse data sources, ensure data quality, lineage, and governance, and collaborate with product, tech, and design teams to deliver AI-enabled insights that inform strategy.