Top Data Analyst Jobs

Provide contact center reporting, analytics, and BI: build and automate dashboards/reports, analyze telephony and workforce metrics, validate data, and deliver actionable insights to operations and leadership.

Perform cross-functional analytics and reporting across sales, marketing, merchandising, eCommerce, site, retail, and channel performance. Build and maintain dashboards, validate data, support experimentation and campaign measurement, develop datasets and models with SQL and dbt in a cloud warehouse, and communicate insights and recommendations to stakeholders.

The Senior Data Analyst will build dashboards, develop ETL pipelines, provide insights on workforce trends, and collaborate with HR and Finance stakeholders.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Design, build, and maintain data solutions and self-service capabilities. Partner with business stakeholders to deliver BI dashboards and insights. Perform data mining, scripting, and analysis across structured and unstructured sources. Ensure data quality, metadata, lineage, governance, and collaborate with tech teams on security and access.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Develop and improve TransUnion's IP geolocation technology by analyzing large datasets, implementing automation algorithm improvements, and providing analytic insights. Collaborate with engineers and data scientists, use SQL/R/Python/MongoDB/BigQuery, and communicate findings to nontechnical stakeholders. Hybrid role with regular in-office work.

Support solution architecture by analyzing current-state processes, data flows, interfaces, and reporting needs; produce data mappings, conceptual/logical models, ER summaries, interface inventories, and stakeholder-ready documentation to inform modernization, integration, governance, and release readiness across vendors and Scrum teams.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Maintain and improve master data quality by identifying and correcting errors, cleansing duplicates, defining data standards, documenting processes, and collaborating with SMEs and IT. Use SAP and advanced Excel to manage and analyze customer data.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Turn utility customer data into actionable insights by building dashboards, performing bespoke analyses, validating outputs, and supporting customer engagements. Partner with power engineers, data engineers, and product to ensure data quality, translate findings for stakeholders, and turn repeatable analyses into product features while improving delivery tooling and processes.

Develop and maintain Power BI dashboards and scalable data models for financial reporting, forecasting, KPI tracking, and executive visibility. Analyze financial and operational data to identify trends, variances, and opportunities; partner with Finance, Accounting, IT, and Operations to ensure data consistency. Prioritize and deliver analytics work in an Agile framework, support automation of reporting, and implement standardized reporting and data governance practices.

Build and maintain event analytics measurement frameworks and dashboards to track registrations, attendance, engagement, and post-event pipeline impact. Integrate and normalize data from event registration, web analytics, marketing automation, email, paid media, and CRM systems. Design attribution models, perform statistical analyses, enable near-real-time reporting in Power BI, and collaborate with marketing and data teams to drive channel optimization and experimentation.

Perform data analyses, develop reports and dashboards, ensure data quality, and provide recommendations to support business operations. Design data collection methods, maintain databases, produce statistical and ad hoc analyses, and support management decision-making. May supervise student workers.

Support AFSOC as a Data Analyst by querying, engineering, and analyzing data to derive insights, design algorithms, build data tools and self-service solutions, improve data quality, and collaborate on mission-focused products.

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.

Support health and long-term care analytics projects by cleaning, synthesizing, and analyzing data; document work, communicate results, review peer work, assist research/business development, and gain experience with healthcare data and modeling tools.

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.