Top Data Analyst Jobs

Support analytics team by analyzing marketing and social performance, building client-facing reports and visualizations, identifying KPIs, performing data quality checks, and communicating insights and recommendations to nontechnical stakeholders. Assist with monthly reviews and collaborate on dashboarding, ETL understanding, and tool improvements.

Translate business needs into clear data requirements, design and maintain curated integrated datasets, validate mappings and lineage, support data governance and quality, enable data products for reporting and analytics, and lead small data integration and process-improvement initiatives across business, analytics, and engineering teams.

Serve as client-facing lead for environmental data management and sustainability strategy. Analyze energy, water, GHG, and waste performance; provide reporting and regulatory guidance; manage vendors and ESG platforms; support green building certifications (LEED, ENERGY STAR); produce high-quality reports, presentations, and deliverables; and coordinate multiple projects with strong communication and project management.

Support enterprise data governance roadmap by consulting with stakeholders, designing and implementing processes and system changes, monitoring governance metrics and alignment to policies, providing technical expertise, reviewing others' work, and coaching new team members.

Analyze customer data in Snowflake and Power BI to quantify audience and campaign performance, produce dashboards and presentations, provide QA on data collection, partner with stakeholders, and deliver actionable insights to maximize ROI and customer value.

Design, implement, and mature enterprise data governance frameworks for customer data. Establish standards and processes for data quality, metadata/catalog management, lineage, stewardship, and privacy/consent. Partner cross-functionally to operationalize controls, drive adoption, document standards, manage governance backlog, and support platform enablement and remediation workflows.

Lead healthcare payment integrity analyses, collaborate with clients and internal teams, build and maintain large-scale SQL and Spark queries, design ETL/ELT transformations, implement AI/LLM-driven analytical workflows, perform data quality monitoring, and mentor analysts while documenting lineage and audit-ready methodologies.

Designs and delivers custom data solutions for ERP customers including reporting, data extracts, BI dashboards, ETL and integrations. Scopes and executes projects, uses AI tools to improve workflows, supports/internal training and documentation, and provides escalation support and collaboration across teams.

The Acquiom Imports Analyst interprets payment data, manipulates spreadsheets for import into NetSuite, and ensures data accuracy for M&A transactions.

Lead analytics and analytics-focused data engineering to produce trusted datasets, dbt models, and semantic layers. Perform client lifecycle and boutique-level commercial analysis, design test-and-learn programs, build Tableau reports with automated distribution, surface actionable recommendations to leadership, resolve data inconsistencies and performance issues, and mentor other analysts.

Lead client-facing measurement and targeting work: scope and execute research projects, analyze campaign results, support sales (RFPs, QBRs), advise on targeting strategy, optimize campaigns, and collaborate cross-functionally while using Teads' proprietary data and insights tools.

Lead and support client-facing research and measurement projects across Teads' Data Suite. Scope, execute, and analyze campaigns; advise on targeting strategy; support sales with RFPs and QBRs; collaborate cross-functionally to optimize campaigns and deliver actionable insights.

Lead analytics for hardware and supply chain metrics across manufacturing, inventory, revenue, COGS, warranty, and activation. Define governed, audit-ready KPIs and data products in Databricks/dbt, ensure end-to-end lineage from ERP and manufacturing to executive dashboards, partner with Ops, Supply Chain, Finance, and Data Engineering, migrate legacy reporting to Databricks, and support external audit cycles.

Lead requirements elicitation, translate business needs into functional requirements and user stories, partner with data teams to define metrics and design analytics solutions, ensure data quality and governance, support delivery through Agile ceremonies, testing/UAT, and stakeholder communication, and mentor junior analysts.

Lead cross-functional analyses to uncover trends and opportunities, build analytic frameworks, create and optimize BI dashboards, measure initiative impact via KPIs, and promote a data-driven culture across growth, merchandising, product, finance, wholesale, and operations.

The Sr System Analyst, Data Activation Engineer designs and builds data integration pipelines, ensuring data integrity and validating data contracts for analytics platforms. This collaborative role requires functional and technical interface design, monitoring pipelines, and documenting processes to deliver reliable data.

Lead retention and marketing analytics: build lifecycle and segmentation frameworks, design and analyze A/B tests, drive personalization and KPI dashboards, automate retention reporting, and partner with Marketing, CRM, Product, and Data Engineering to turn insights into action.

Lead product analytics across multiple products: own event tracking, funnel analysis, A/B testing framework, AI/LLM-driven insights, dashboards, and reporting. Ensure data quality, define KPIs, run experiments, automate monitoring, and collaborate with Product, Engineering, Marketing, and leadership to drive data-driven decisions.

Partner with global teams to define requirements and KPIs, design and maintain advanced Tableau dashboards, and perform complex SQL-based data extraction. Ensure data governance, automate reporting with Python/Alteryx/SQL, integrate AI/ML outputs for forecasting and anomaly detection, and communicate insights to influence cross-functional stakeholders and executive leadership.

The Data & Analytics Senior Analyst delivers analytical solutions, manages reports, collaborates with partners, and applies advanced analytics while ensuring compliance with bank policies.

As a Business Analyst in User Success & Enablement, you will drive user adoption of data platforms, gather requirements, and improve data delivery. You'll engage with stakeholders and translate their needs into technical requirements while managing platform enhancements and conducting data analysis to ensure effective platform utilization.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

The Data Scientist/Analyst will evaluate economic performances, develop performance metrics, and create dashboards for the Department of State, while collaborating on complex challenges through data-driven insights.

Lead marketing measurement, analytics, and research to inform acquisition, engagement, retention, and ROI. Build attribution models, dashboards, and automated reports; analyze member and campaign performance; run market research and competitive intelligence; partner cross-functionally to ensure data quality and translate findings into executive-ready recommendations and strategic planning support.

The Sr. Data Analyst will lead BI initiatives by collaborating with vendors, analyzing requirements, and implementing solutions while documenting key processes and designs.