Top Data Analyst Jobs

Lead marketing analytics across channel, campaign, cohort, and funnel performance. Build dashboards, reporting, AI-enabled analytical workflows, and data models that support marketing decisions. Conduct ad hoc analyses, evaluate attribution and incrementality, monitor data quality, and translate complex findings into executive recommendations. Partner with marketing and marketing science teams, influence strategic decisions, establish analytical standards, and mentor analysts.

Supports media reporting and measurement initiatives across client accounts by analyzing digital and traditional marketing performance data, developing KPI-aligned reporting, translating findings into optimization recommendations, and contributing to measurement frameworks. Partners with strategy, media, client services, data engineering, and data science teams to ensure data integrity and actionable outputs. Builds Tableau dashboards, supports reporting automation, interprets advanced analytics such as attribution and marketing mix modeling, and manages recurring and ad hoc deliverables.

The Senior Data Analyst leads projects that improve operational performance and client service. Responsibilities include developing business strategies, monitoring operational risk metrics, collecting and presenting performance data, retrieving and optimizing data warehouse queries, mentoring team members in SQL, and communicating findings to operations staff and senior management. The role requires strong analytical, visualization, communication, and project management skills within a financial services environment.

Leads advanced analytics supporting FEMA mission operations, cloud initiatives, and executive reporting. Develops visualizations, predictive models, and analytical frameworks; delivers enterprise insights and performance tracking; manages data quality assessments and remediation; defines KPIs and data governance processes with leadership; and mentors junior analysts. Presents findings to executives and applies SQL, Python or R, BI tools, and statistical modeling.

Supports customers with data onboarding, analysis, and adoption of Bikky’s insights. Updates DBT models, performs customer retention analyses, collaborates with product and engineering teams, and communicates analytical findings. The role combines SQL, statistical analysis, business judgment, and customer-facing communication, with opportunities to grow into product development, data engineering, or data science.

Collects, cleans, integrates, and analyzes business data; develops Power BI dashboards, reports, models, pipelines, and data quality controls. Translates business needs into analytical solutions, identifies trends and recommendations, validates results, supports migrations and modernization, and explores AI and machine learning use cases. Partners with technical and nontechnical stakeholders while documenting data lineage, assumptions, governance, privacy, and responsible AI practices.

Supports FAA implementation efforts by integrating and reconciling complex schedule, inventory, procurement, installation, and operational datasets. Builds repeatable data workflows, validates records, analyzes implementation risks and inventory gaps, prepares schedule updates, and develops dashboards and reports. The role documents data processes, investigates discrepancies, coordinates with schedulers and implementation stakeholders, and communicates progress, risks, and recommendations. Occasional client or company travel is required.

Paid 12-week internship supporting the Imports & Commodities team. Responsibilities include analyzing business processes, developing operational reports and automation solutions, managing data in BOS, validating reporting assets, supporting ERP transitions, and assisting with functional testing and quality assurance. The intern will collaborate cross-functionally, participate in mentorship and networking opportunities, and gain experience using intelligent systems for business impact.

Own newsroom analytics supporting editorial, audience, and product decisions. Develop dashboards, automated reporting, measurement frameworks, and deep-dive analyses; design A/B tests; maintain reporting data quality and pipelines; translate findings for nontechnical stakeholders; and mentor junior analysts. The role requires strong SQL, Python, statistical analysis, data warehouse, dbt, and Git experience, with preferred expertise in content performance, audience segmentation, attribution, AI/LLM tools, or newsroom analytics.

Supports business applications, databases, integrations, and data processes through troubleshooting, reporting, data validation, documentation, testing, requirements analysis, implementation, and user training. Extracts and analyzes data using SQL, Excel, Power BI, APIs, and SQL Server. Participates in low- to medium-complexity projects, coordinates implementation activities, and communicates with business and technology stakeholders.

Analyzes large federal enterprise datasets in a secure government environment. Responsibilities include developing SQL queries, ETL/ELT workflows, structured datasets, statistical and analytical models, data visualizations, and reporting solutions. The role validates data ingestion, identifies trends and anomalies, supports AI/ML and non-AI/ML initiatives, conducts research, and translates government stakeholder requirements into reliable data-driven solutions.

Build and maintain scalable trading observability platforms, real-time data pipelines, and quantitative strategies for equities trading operations. Responsibilities include ingesting and processing market and alternative data, improving monitoring and analytical tools, and incorporating AI into workflow automation and content generation. The role partners with traders, strategists, and technology teams in a fast-paced trading environment.

Analyzes complex balance sheet and business data to deliver reporting, dashboards, data quality controls, governance solutions, and actionable insights. Supports treasury, asset-liability management, liquidity, interest rate risk, regulatory compliance, and financial reporting initiatives. Partners with stakeholders to define requirements, document data lineage and methodologies, test analytical solutions, and communicate findings. Enhances data collection, investigates root causes, supports data remediation, and contributes to business intelligence tools and continuous improvement.

Develop and maintain data pipelines, backend programs, and integrations in Azure Government Cloud. Transform and cleanse data, evolve scripts and notebooks, manage relational databases, support data quality, document technical processes, and collaborate with engineers, geospatial experts, scientists, and government clients. The role also involves project coordination, status reporting, client travel, and compliance with government background and security requirements.

The Senior Data Analyst partners with university stakeholders to answer complex business questions, develop dashboards and business intelligence solutions, analyze and improve data quality, support data pipelines and governance, and communicate insights through visualizations and recommendations. The role requires advanced SQL, Python or R, BI reporting expertise, and the ability to guide strategic decisions. It is full-time and in-office in Salt Lake City, with occasional travel up to 20%.

Leads performance measurement, KPI development, reporting, and data-driven decision support for federal programs. Analyzes data from databases, APIs, files, and Amazon S3 using Python and SQL; develops validation methods, dashboards, reports, and analytical narratives. Partners with engineering, product, UX, delivery, and government stakeholders; evaluates generative AI outputs; establishes data quality standards; mentors colleagues; and translates ambiguous client needs into practical recommendations.

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

Provides intermediate-level analysis, implementation, integration, support, and troubleshooting for business systems and data solutions. Translates business requirements into technical specifications, supports system development lifecycle activities, manages changes and releases, resolves production issues, documents IT processes, and collaborates with business and IT teams. The role uses SQL, ETL, Databricks, Azure, relational databases, BI tools, and ServiceNow.

Analyze complex datasets, optimize SQL queries, develop dashboards and visualizations, ensure reporting accuracy, and translate findings into actionable recommendations. The role supports strategic reporting and data-driven decisions while communicating insights to stakeholders. Experience with cloud data environments and AI-powered analytics tools is preferred.

Design and implement enterprise data governance standards, data quality controls, metadata and lineage documentation. Develop SQL validation, profiling, remediation, and accounting-related data tasks. Support governed AI and advanced analytics data, collaborate with finance, actuarial, operations, underwriting, and IT teams, and promote secure data sharing. Maintain data definitions and governance practices while serving as a subject matter expert and improving data reliability across the organization.

Analyze complex data to support business decisions across marketing, finance, product, sales, medical affairs, and customer success. Responsibilities include defining data requirements, developing and automating data pipelines, building interactive dashboards, identifying trends and process improvements, and presenting insights to executives and external partners. The role requires advanced SQL, Python, BI, visualization, and cross-functional analytics experience, with an emphasis on using AI to improve efficiency.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

Owns the data and systems layer connecting Account Management and Carrier Procurement. Builds repeatable data pulls, pipelines, dashboards, automation, and trusted reporting across MercuryGate, DAT, Excel, and BI tools. Improves carrier tendering and pricing workflows, consolidates TMS and market data, supports development of a truckload rating engine, and partners with business leaders to deliver accurate, self-service data solutions.

Owns the data and systems layer supporting Account Management and Carrier Procurement. Consolidates data sources, builds dashboards and reporting pipelines, automates manual workflows, documents data flows, and improves carrier tendering and pricing processes. The role blends TMS, market-rate, carrier, and Excel data to create trusted reporting and support a truckload rating engine. It requires strong BI skills, process improvement, data accuracy, and cross-functional communication.

Supports enterprise data governance, lineage, lifecycle management, quality, and compliance initiatives. Responsibilities include mapping data for AML systems, producing supervisory reports, managing data incidents and remediation, enhancing controls, responding to regulatory inquiries, and drafting policies and supervisory procedures. The role collaborates with technical and business stakeholders and requires experience with data governance tools, data protection controls, and financial services regulations.