Top Data & Analytics 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.

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.

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.

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.

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.

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.

Leads data mapping and conversion initiatives for client onboarding, serving as a subject matter expert on schemas, financial balancing, and data transmission. Resolves data discrepancies, supports tax processing and implementation teams, develops scripts to optimize data loading, and ensures delivery against release timelines. The role requires strong SQL Server expertise, analytical and communication skills, project management capabilities, and financial trust accounting knowledge.

Owns discovery and requirements for complex, cross-functional data, automation, and AI initiatives. Structures ambiguous problems, creates requirements and process artifacts, facilitates senior stakeholder alignment, evaluates tradeoffs, supports prioritization, and anticipates integration and downstream impacts. The role also mentors business analysts, reviews their work, improves analysis standards, and promotes knowledge sharing. Experience with data platforms, analytics, workflow automation, AI initiatives, requirements management, and stakeholder facilitation is required.

Leads Gartner thought leadership and research on data management platforms, integration, architecture, operations, metadata, and AI-ready data. Develops market insights, forecasts trends, advises executive clients, supports sales, presents at conferences, reviews content, improves research processes, and mentors analysts. Requires deep data management expertise, strong research, writing, communication, analytical, presentation, and executive engagement skills, plus 15+ years of relevant experience and travel up to 25%.

Own end-to-end client reporting and analysis, including scoping, delivery, automated report development, and deep-dive investigations. Partner with client-facing teams to answer complex healthcare questions, improve report efficiency and accuracy, develop scalable reporting automation with data engineering, and establish best practices for visualization, documentation, metrics, and stakeholder communication.

Build CodeRabbit’s foundational BI capabilities, executive and board-level dashboards, governed dbt data models, and self-serve analytics workflows. Analyze finance and go-to-market performance, including ARR, pipeline, margins, forecasting, and billing. Partner with Finance, GTM, and leadership to establish trusted metrics, improve data infrastructure, and develop agentic tools that generate reviewed dashboards and insights.

Analyze large and complex datasets to identify trends, clean and transform data, query databases with SQL, and develop dashboards and visualizations using Databricks, Tableau, Power BI, and Excel. Produce analytical reports and recommendations, apply predictive analytics when appropriate, and support agile delivery through user story documentation and testing.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.