Top Remote Senior Data Analyst Jobs

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

Responsible for end-to-end analytics for residential mortgage portfolio, defining KPIs, conducting risk analysis, and delivering data-driven strategies to improve lending processes.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

Use large healthcare datasets to identify behavioral patterns, build product and client-facing analytics, partner with product and engineering to lead data projects from ingestion through analysis, and help shape data team strategy and recommendations.

The Senior Data Analyst will partner with leadership across functions to drive strategic insights by analyzing data, managing projects, and influencing decision-making.

The Sr. Data Analyst will deliver actionable insights to stakeholders, develop predictive models, and support data-driven growth by analyzing diverse datasets.

As a Senior Data Analyst II, you will support growth initiatives by analyzing revenue metrics, automating workflows, and providing insights to drive customer success.

The Sr Analyst will develop data pipelines, collaborate with data teams, design reporting solutions, analyze data sets, and maintain data quality.

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The Senior Data Analyst for Payments will analyze and optimize payment processes, collaborate with cross-functional teams, and ensure regulatory compliance to improve financial operations.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

As a Senior Data Analyst at Tive, you will develop customer-facing analytics products, create SQL models, design dashboards, present findings, and optimize workflows.

The Senior Data Analyst will gather requirements, develop reports and dashboards using Sigma, and create data-driven solutions to support decision-making.

The Senior Data Analyst will analyze datasets, ensure predictive model stability, and collaborate with various teams to generate insights for client success.

The role involves analyzing subscription performance, developing forecasting models, creating automated reporting tools, and translating complex data into actionable insights for strategic decisions.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Analyze large datasets to derive insights, create dashboards, conduct A/B tests, and collaborate with teams to enhance player experiences.

Seeking a Data Analyst to deliver analytics and insights for decision-making. Responsibilities include dashboard creation, SQL query optimization, and trend analysis.

Lead product analytics end-to-end: own event taxonomy and instrumentation quality, analyze funnels/retention/cohorts, design A/B tests, build dashboards, and translate insights into product decisions to drive user growth and monetization.

Design and optimize end-to-end financial data pipelines and automated validations; build and maintain production-grade SQL repositories; perform forensic analytics to resolve discrepancies; serve as Finxact SME; lead governance, reporting automation, and cross-functional projects; mentor junior analysts and partner with Product and Engineering.

Perform deep analysis of IVR journeys and call interactions to identify containment, transfer, failure, and customer effort issues. Extract, clean, and model large-scale contact center datasets, validate speech vs DTMF performance, produce executive-ready insights, and build monitoring dashboards to support IVR architecture and optimization across multi-region operations.

Lead GTM and servicing analytics to build a Customer 360 view. Design data models, dashboards, and journey analyses; drive insights for acquisition, onboarding, retention, and LTV using SQL and analytics tools.

The Senior Data Analyst will analyze trends, develop segmentation frameworks, create dashboards, manage risk rules, and support audits and projects.

Design, build, and maintain scalable, tested data models and transformation pipelines (dbt, Snowflake). Partner with Data Science, Product, and Engineering to codify business logic, enable downstream BI (Hex), enforce Git-based workflows, automated tests, and CI/CD, and drive data quality and observability for clinical and financial analytics.