Top Remote Senior Data Analyst Jobs

Analyze customer journey data to identify conversion drivers and friction points. Collaborate with teams to optimize product strategies using data insights.

The Senior Data Analyst is responsible for executing data strategy, analyzing business requirements, and delivering actionable insights, ensuring high-quality data analysis and documentation.

The Senior Data Analyst will manage client-facing analytics, build dashboards, partner with Customer Success, and leverage AI tools for reporting.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

Lead customer-facing analytics: build dashboards, reports, and POCs that demonstrate ROI and utilization trends for healthcare provider data. Collaborate with data science and engineering on advanced models, assess and integrate new data sources, ensure data quality, and support presales and executive-facing storytelling.

Analyze product and user engagement data to generate insights, build dashboards and reports, design and evaluate A/B tests, define success metrics with product and engineering, ensure data accuracy, and communicate findings to cross-functional stakeholders to guide product and business strategy.

The Data Analyst will lead high-impact data products, drive product success, collaborate cross-functionally, use AI tools, and enhance client value, focusing on new methodologies and data exploration.

Lead customer analytics to measure and improve campaign and product performance. Build scalable data models, dashboards, and reports; perform segmentation, cohort, forecasting, anomaly detection, and ad-hoc analyses; ensure data quality and rigorous QA; communicate insights and recommendations to technical and non-technical stakeholders.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

Partner with Sales, RevOps, Marketing, and Customer Success to connect the full revenue funnel. Produce GTM insights using advanced analytics, SQL, and BI tools; communicate findings to stakeholders; standardize Data team processes; mentor analysts and lead data-driven initiatives to drive business outcomes.

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.

Perform hands-on data analysis, profiling, reconciliation, and validation using Databricks and SQL. Lead UAT design and execution, coordinate testing with stakeholders, validate dashboards and workflows, document defects and recommendations, and support Agile delivery and release readiness using tools like Jira and Confluence.

The Sr. Data Analyst Sales will provide strategic insights, develop analytical solutions, and manage stakeholders to improve sales performance. They will use SQL and Tableau to create dashboards and maintain data integrity.

The Senior Data Analyst at Guitar Center will provide analytic insights to business leaders, support stakeholders with reporting, automate processes, drive analytics projects, and identify growth opportunities through data-driven decisions.

As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.

The role involves designing reconciliation systems for financial data, improving anomaly detection, automating processes, and collaborating cross-functionally to enhance data quality and reliability in financial operations.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

The Senior Data Analyst (CX) will analyze customer support data, optimize processes using automation and AI tools, and present insights to improve customer experiences.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

As a Senior Marketing Data Analyst, you'll analyze revenue impacts from marketing, optimize growth strategies, evaluate channels, and establish scalable reporting systems using SQL and AI tools.