Top Data & Analytics Jobs

The Customer Analyst will own analytics initiatives, maximize sales through analytics, plan production, and collaborate cross-functionally to improve customer outcomes.

Partner with the Growth Marketing Lead to synthesize channel performance, own KPI reporting, run LTV/CAC and cohort analyses, evaluate experiments, and translate messy data into clear, prioritized recommendations that drive marketing decisions. On-site in San Francisco, measured by the decisions your analysis changes.

The SQL Data Analyst will focus on Business Intelligence development, data modeling, and advanced SQL query capabilities while working with Microsoft technologies.

The Data Analyst will develop and enhance the data warehouse environment, including data design, database architecture, and accuracy checks, alongside troubleshooting and evaluating new applications.

The Data Analyst will analyze data flows, create metrics for reconciliation, document requirements, and collaborate with technical teams to ensure data integrity and reporting.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

The role involves data validation, using SAS for database queries, and improving processes based on data insights. Requires keen attention to detail and initiative.

The Lead Data Analyst collects, cleans, and interprets data, creates data models, and ensures data quality while leading efforts in data analysis and governance.

The SQL Data Analyst will develop BI solutions, create scalable reports, and work with SQL Server and Microsoft BI technologies to enhance data visualization and analysis for clients.

The Data Analyst will analyze business data requirements, perform data validation, document source to target mappings, and collaborate on data integration processes.

The SAS Data Analyst will perform data validation, statistical modeling, and analytics primarily within the mortgage industry, requiring extensive SAS expertise and SQL skills.

The Data Analyst will analyze data to support operational capabilities, conduct data quality assessments, and lead data mapping efforts for a new enterprise data platform.

The Data Analyst builds and maintains performance data pipelines and dashboards, ensuring compliance with privacy regulations while supporting program reporting and decision-making.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

Analyze complex financial and business data to guide planning, forecasting, investment decisions, and strategic growth. Partner with FP&A, Accounting, RevOps, Product, Marketing, Data Engineering, and analytics teams; automate recurring workflows; build self-service dashboards and data assets; improve analytics infrastructure; and communicate actionable insights to technical and non-technical stakeholders.

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.

Build scalable analytics solutions for the Public Sector business, including dashboards, data models, tables, metric definitions, and ad hoc analyses. Own data quality, partner with Operations and Finance on efficiency and cost analysis, and translate complex findings into actionable insights. Drive cross-functional projects from ambiguity to completion while supporting planning, pricing, and business decision-making.

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.

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.

Designs and maintains enterprise reporting, dashboards, semantic models, and analytics solutions using Snowflake, Power BI, and SQL. Translates business requirements into scalable data products, performs complex analysis, and communicates insights to technical and non-technical stakeholders. Supports data governance, quality, metadata, automation, testing, deployment, and production support. Promotes data literacy, mentors peers, evaluates emerging technologies, and contributes as an analytics subject matter expert on enterprise projects.

Transform multi-source datasets into structured data, perform statistical analysis, build data models and visualizations, monitor KPIs, identify process improvements, and deliver actionable insights to cross-functional stakeholders. The role uses Tableau and related analytics tools to support product direction, operational efficiency, experimentation, and business growth.

Leads enterprise API governance operations, including API inventory reconciliation, data-quality analysis, KPI/KRI reporting, governance controls, audit support, remediation tracking, and process improvement. Partners with engineering, architecture, security, risk, and technology leadership teams to resolve findings, maintain governance documentation, and present inventory health, compliance, and operational risk insights. Requires advanced analytical, communication, regulatory compliance, and subject-matter expertise.

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.