Top Data & Analytics Jobs

The Data Analyst will leverage data to enhance operational performance in micromobility, collaborate with cross-functional teams, and perform in-depth analyses.

Lead end-to-end analytics for Flagship Client and Distribution: partner with stakeholders to frame problems, perform advanced analyses and machine learning, ensure data quality, develop recurring analytics products and executive visualizations, and mentor analysts to drive data-driven decisions.

Investigate and resolve investment data exceptions, execute data reporting and quality control, perform root-cause analysis, implement process improvements, support testing and monitoring, and maintain procedures to ensure gold-copy data integrity across the enterprise.

Senior Data Analyst responsible for owning supply chain data governance, delivering analytics and storytelling, designing Looker/BigQuery data models and dashboards, supporting supply chain performance analysis, KPIs, and mentoring junior analysts to drive operational improvements.

Analyzes, validates, reconciles, and quality-assures healthcare data from disparate systems using Excel and SQL. Interacts with hospital customers, communicates findings, troubleshoots technical issues, supports SaaS implementations, and develops SFTP reporting automation. The role also retrieves data, assists with ingestion and reporting, and collaborates with implementation leads and internal teams to meet project deadlines and customer needs.

Analyze buyer and seller behavior to inform strategy; build scalable self-serve dashboards (Looker/Tableau); streamline data collection; translate business needs into data products; partner cross-functionally and run A/B tests to optimize user experience.

Develop data analytics and business intelligence strategies, strengthen data governance, establish data quality controls and lineage, and improve data accessibility and integrity. Collaborate with cross-functional teams to deliver decision-support insights, lead data management initiatives, mentor junior analysts, and promote emerging analytics technologies. The role requires financial services experience, analytical expertise, data visualization and BI skills, and proficiency in Oracle SQL, Python, and Perl.

Lead product analytics by building best-practice reports, dashboards, and A/B test analyses. Integrate internal and external data, apply advanced analytics, and deliver actionable insights to influence product strategy and operational efficiency across digital, connected fleet, pricing, and ridesharing products.

Build and maintain Rayda’s data warehouse, analytics infrastructure, data models, transformation layers, pipelines, and workflows. Integrate product, billing, and customer interaction data from multiple platforms, improve data quality and governance, and create reliable datasets and analytical models. Enable self-service analytics and collaborate with Product, Growth, Commercial, and leadership teams to uncover usage patterns, churn risks, and expansion opportunities.

Supports data collection, cleaning, validation, reporting, dashboard preparation, and basic analysis. Tracks business and product metrics, identifies trends, documents datasets and processes, responds to ad hoc requests, and helps improve data usability while collaborating with cross-functional teams.

Lead analytics for Zynga Poker by running A/B tests, building ETL pipelines and dashboards, analyzing player behavior, tuning game economy, and improving fraud/bad-actor models. Collaborate with product, design, and data science teams, contribute to AI/LLM initiatives, and maintain telemetry and BI tools to inform strategic decisions that impact millions of players.

Lead end-to-end analytics: own KPIs and dashboards, define measurement with stakeholders, build scalable pipelines with Data Engineering, run deep-dive analyses, close reporting gaps, and advocate best practices in visualization, documentation, and metric consistency to inform business strategy.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

Lead data analysis and build/manage data solutions using scripting and open-source tools. Partner with business to create dashboards and drive insights. Manage data quality, metadata, lineage, governance, and collaborate with tech teams on security and access. Develop monitoring tools and support self-service data capabilities.

Lead analytics for Brigit's Line of Credit product: define core metrics, forecast revenue and costs, design experiments, optimize underwriting and collections, evaluate and monitor predictive models, build dashboards, and deliver ad-hoc analyses to influence product, finance, and leadership decisions.

Analyzes data from CRM, survey, program, finance, web, and marketing systems to produce reports, dashboards, visualizations, trend analyses, forecasts, and strategic insights. Partners with departments to define reporting needs, conducts market and demographic research, supports data governance, and communicates findings to technical and non-technical stakeholders. This is a part-time remote role requiring Washington State residency, occasional regional travel, and availability to work in a GSWW office when needed.

Owns the NetSuite item master and product data lifecycle across multiple brands. Responsibilities include managing SKUs, UPCs, attributes, BOMs, ECOs, units of measure, dangerous-goods classifications, product synchronization with WMS and Shopify, data governance, audits, and process improvements. The role partners cross-functionally with product development, operations, procurement, planning, finance, compliance, logistics, IT, and e-commerce teams to maintain accurate, scalable product data and support commercialization.

Collects, analyzes, and reports data to ensure data integrity and accuracy. Prepares and distributes reports, creates exception and custom reports, supports clients and internal users, and assists with client setup and quality programs.

Analyzes customer and audience data to identify behavioral patterns, funnel trends, and conversion outcomes. Leads audience strategy, targeting, segmentation, personalization, and audience roadmap development across media, CRM, and site channels. Evaluates performance, conducts root-cause analysis, and recommends optimization opportunities. Collaborates with stakeholders and external partners on campaign requirements, taxonomy, audience development, measurement, and data interpretation while responding to leadership’s analytical requests.

Build predictive data pipelines, machine learning models, dashboards, and automated decision tools for portfolio strategy. Analyze product performance, costs, monetization, competitive intelligence, customer behavior, and feature opportunities. Govern metrics and data quality using SQL while enabling self-service AI and natural-language data access. Support roadmap prioritization, ROI assessment, initiative tracking, and executive decision-making through advanced analytics and financial modeling.

Full-time summer data analyst intern supporting projects that distill complex data into business insights and improve client and investment outcomes. The intern will collaborate across business lines, communicate findings, work independently and in teams, and receive coaching, mentorship, and networking opportunities.

Develop and maintain Power BI dashboards and analytics solutions, perform data cleaning and transformation (using Python), support operational and strategic reporting, assist business development and client-facing activities, and contribute to internal initiatives while supporting DHS mission goals.

The Operations Data Analyst collects and analyzes operational and financial data, develops dashboards and performance reports, tracks KPIs, identifies trends and root causes, and recommends corrective actions. The role partners with operations, accounting, and finance teams to improve data accuracy and processes, presents findings to leadership, and trains employees on reporting tools and procedures.

Supports data cleansing, quality checks, reporting, dashboards, data-source and metadata maintenance, data integrity, and normalization. Translates reporting requirements and analytical results for nontechnical audiences, handles sensitive information securely, and assists end users with reports and dashboards. Works under senior analyst guidance in a federal environment and must be able to obtain and maintain a Public Trust clearance.

Analyzes data from university systems to support student success, operational efficiency, institutional reporting, and executive decision-making. Develops dashboards and reports, integrates data sources, ensures data quality, supports data warehousing and governance, and uses AI-enabled analytics for forecasting and anomaly detection. Collaborates with campus departments, trains end users, and promotes data literacy and responsible data use.