Top Remote Senior Data Analyst Jobs

Lead implementation and enablement of digital analytics tools across consumer applications. Translate technical specs, manage projects and cross-functional stakeholders, validate releases, oversee capacity planning, and drive process improvements for tag management and analytics deliveries.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Partner with Finance stakeholders to build reports, dashboards, and data solutions; perform analysis, data validation, and data quality management; leverage scripting, BI tools, Snowflake and other platforms to enable self-service, regulatory reporting, and predictive modeling support.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead design and implementation of customer, pricing, and BI analytics. Build and maintain Power BI dashboards, write complex SQL, analyze large datasets, support sales and pricing decisions, and drive data literacy and continuous improvement.

Lead design and implementation of customer, pricing, and BI analytics. Build and maintain Power BI dashboards, write complex SQL queries, analyze large datasets, support sales and commercial teams, prioritize requests, and drive adoption of data-driven pricing and contract insights.

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.

Lead design and buildout of an Operations Intelligence Warehouse (BigQuery, dbt, Metabase), define metrics and data quality standards, create dashboards for throughput and cycle time, join ops to GTM/financial data, run variance/root-cause analyses, and partner with Data Engineering and stakeholders to turn operational telemetry into actionable insights.

Lead sales operations analytics for Grocery and Retail: design dashboards and models, analyze sales and market trends, support forecasting and capacity planning, optimize sales funnel performance, deliver strategic insights to sales leadership, and collaborate with data engineering/BI using SQL, Python, and visualization tools.

Analyze large datasets using complex SQL and advanced Python (Pandas, NumPy); build and optimize data pipelines, automate tasks, and create Google Sheets reports and dashboards. Collaborate cross-functionally, present insights to technical and non-technical stakeholders, and support data-driven decision making.

The Senior Data Analyst will partner with teams to provide data analytics solutions, develop complex data models, and create visualizations to drive decision-making.

Analyze large healthcare claims datasets to support post-payment analytics and payment integrity. Build and maintain Databricks-based analytical datasets, dashboards, reports, and visualizations. Identify payment trends, anomalies, and overpayments; validate and reconcile data; translate business requirements into analytical solutions; and present insights to stakeholders to inform program improvements and compliance.

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.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

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.

Manage user account lifecycle and access controls, implement and support IAM technologies and RBAC strategies, lead small-to-medium IAM projects, develop access/security implementation plans, support provisioning and role management, and assist staff and leadership with IAM-related requests and continuous improvement.

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.

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.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

The Senior Data Analyst will evaluate gaming machine performance, develop reports and dashboards, and provide actionable insights through data analysis.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.