Top Remote Senior Data Analyst Jobs

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Leads data analysis, modeling, governance, integration, migration, and cloud data architecture initiatives. Designs Azure data lakes and warehouses, develops ingestion pipelines and BI solutions, optimizes data quality and scalability, and supports reporting and actionable insights. Leads data engineering and analytics teams, reviews code, mentors staff, and develops CI/CD solutions using Bamboo, Azure DevOps, and Bitbucket. Collaborates with stakeholders to translate business needs into technical requirements and solutions.

Designs and maintains SQL/Python data pipelines, warehouse models, and Power BI dashboards supporting finance planning, forecasting, budgeting, and book close. Owns solution architecture from requirements through deployment, validates data and systems, resolves process and reliability gaps, and manages multiple enhancements. Collaborates with business and technical stakeholders, mentors analysts, leads continuous improvement, documents solutions, trains users, and develops automated and AI-enabled efficiencies.

The Senior Data Analyst develops advanced SQL analyses, maintains Tableau and Hex dashboards, validates warehouse metrics, and translates data into actionable recommendations for executives, funders, government audiences, and community partners. The role emphasizes data storytelling, reporting standards, secure PII-aware delivery, stakeholder collaboration, and business impact evaluation. It also offers growth into AI-assisted analytics, custom visualization, and data-to-report automation.

Analyzes healthcare claims, clinical, eligibility, and supplemental data to support value-based care programs and client decisions. Builds reliable datasets, dashboards, and custom analyses; validates results, investigates anomalies, documents methodology, and presents findings to technical and non-technical stakeholders. Manages client analytics projects end-to-end while balancing competing priorities and maintaining long-term deliverables.

Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.

The Senior Data Analyst gathers business and data requirements, assesses data quality and sources, maintains data dictionaries and lineage, defines KPIs, validates reports, and delivers actionable insights. The role supports data governance, PII protection, integrations, data transformation, platform performance, business continuity, and process improvement. It collaborates with stakeholders and data teams, mentors colleagues, resolves complex issues, and contributes to enterprise data strategy and technology decisions.

The Senior Data Analyst gathers BI requirements, analyzes enterprise and offline datasets, writes and optimizes SQL queries, and builds dashboards using Power BI, Tableau, and Domo. The role translates business needs into technical specifications, designs dashboard wireframes, validates data, documents processes, and collaborates with engineering, product, and business teams. Knowledge of the US trust business is essential for interpreting data within financial and regulatory contexts.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Conduct forensic analytics for anti-money laundering and financial crime monitoring. Analyze large transactional datasets with SQL and Alteryx, identify suspicious behaviors and emerging typologies, develop and validate detection scenarios, calibrate thresholds, perform lookbacks and segmentation studies, evaluate transaction networks, and support AML investigations, SAR narratives, and regulatory responses.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Analyzes, cleanses, validates, and prepares operational datasets for mailing, email, reporting, billing, and processing activities. Develops Databricks queries and Alteryx workflows to automate processes and improve data quality. Performs audits, reconciliations, root-cause analysis, and corrective actions while maintaining governance and security compliance. Provides actionable insights, mentors junior analysts, communicates findings, and leads continuous improvement initiatives.

Own Kepler’s transaction data feed end-to-end, ensuring accuracy, improving methodologies, developing QA frameworks, solving complex analytical problems, and prototyping enhancements. Analyze massive datasets, automate workflows with AI, evaluate client-facing AI outputs, address high-complexity customer questions, and collaborate with Research, Product, Data Science, and Engineering teams.

Analyze platform, product, customer, advertising, and operational data to generate actionable insights. Build dashboards, reporting frameworks, automated workflows, and scalable analytics pipelines. Evaluate experiments and analytical methodologies, improve forecasting and data accuracy, and partner with product, engineering, marketing, revenue, and leadership teams to influence strategy, customer experience, and platform growth.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

Analyzes healthcare and financial data to identify inefficiencies, improve business performance, and support data-driven decisions. Builds and maintains dashboards, develops analytical models and tools, communicates findings to technical and non-technical stakeholders, monitors initiative impact, and supports strategic pharmacy program projects.

Analyze healthcare and pharmacy data to identify inefficiencies, monitor financial and utilization metrics, build dashboards and analytical tools, and communicate actionable insights to technical and non-technical stakeholders. The role supports strategic projects, tracks initiative outcomes, and helps improve affordability and quality of care through data-driven decisions.

Conducts data collection, cleaning, management, statistical and computational analysis for education policy research. Responsibilities include building reproducible ETL pipelines, creating visualizations and research materials, applying machine learning and natural language processing, validating model outputs, managing restricted-use data, reviewing analyses, and coordinating with external collaborators. Senior responsibilities include overseeing analytical projects, documenting methodologies, managing compute and API costs, and serving as a technical contact.

Own and evolve Looker as the company-wide business intelligence platform. Build dashboards, data models, pipelines, and integrations connecting Snowflake and other sources. Ensure data quality and provenance, support operational reporting, and partner with Finance, Data Science, and business teams. Help develop AI- and LLM-based agentic reporting tools that enable self-service analytics. Communicate technical concepts across the organization and provide insights for operational decision-making.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Transform HR data from HRIS, payroll, timekeeping, and workforce systems into dashboards, reports, visualizations, and actionable insights. Analyze workforce trends involving headcount, turnover, hiring, attendance, and retention. Partner with HR, business, and IT teams on workforce planning, data quality, system integrations, HR technology, and strategic initiatives while ensuring data accuracy, privacy, and compliance.

Performs hands-on data quality analysis for a Provenir decisioning platform implementation. Validates API inputs and outputs, decision logs, scoring pipelines, and data integrity using Python, SQL, and Databricks. Builds automated test suites, scripts, and scheduled jobs to identify nulls, duplicates, missing or incorrect values, and count discrepancies. Requires strong database design knowledge and independent collaboration. Financial services, lending, and Provenir experience are preferred.

Owns enterprise data governance activities, including metadata management, data cataloging, data quality rules, lineage, profiling, report certification, PII handling, and governance workflow automation. Partners with data stewards, IT teams, business stakeholders, and senior leaders to improve data integrity, regulatory compliance, reporting quality, and governance processes. The role also supports training, stakeholder workshops, process improvement, and mentoring of less experienced professionals.