Top Remote Data & Analytics Jobs

Analyzes structured and unstructured data to identify and resolve quality issues, develop data quality standards, create automated reports and dashboards, and support CMS fraud, waste, and abuse initiatives. The role performs statistical analysis, collaborates with data and reporting teams, presents findings to stakeholders, participates in Agile ceremonies, mentors junior analysts, and provides technical leadership across data quality projects.

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

Provides senior-level data analysis, compliance reporting, qualitative and quantitative research, business intelligence, dashboards, and program measurement for the Personal Financial Counselor financial disclosure and conflict-of-interest program. Tracks certification, readiness, onboarding, and workforce metrics; identifies trends and risks; develops executive reports and actionable recommendations; supports audit readiness, process improvement, and cross-functional program decision-making.

Define and lead enterprise data-platform architecture across ingestion, storage, processing, governance, and consumption. Establish standards for data modeling and lifecycle management while partnering with engineering, analytics, machine learning, and business teams. Lead complex data-platform initiatives, implement governance and lineage capabilities, and guide scalable cloud architecture, security, networking, and cost optimization.

Build and optimize data transformation pipelines using SQL, dbt, Airflow, Python, BigQuery, and relational databases. Collaborate with stakeholders and data engineers, manage task scheduling, resolve data issues, perform analyses, present recommendations, support data exploration tool adoption, and mentor team members. The role also contributes to hiring, onboarding, and professional development while ensuring data accuracy and insight quality.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.

Own the analytical function for a business area such as growth, product, AI and automation, or strategic partnerships. Define business questions and metrics, build reports, analyze data, design experiments, and deliver insights that influence decisions and key performance indicators. Partner with product, growth, finance, and operations leaders to communicate recommendations and drive initiatives through execution.

Leads analytical support for retail leadership by translating business questions into requirements, delivering recurring and ad hoc performance analysis, and creating executive-ready narratives and recommendations. Partners with BI, data engineering, and business teams to ensure governed, accurate reporting. Identifies opportunities to scale recurring requests into dashboards and self-service assets, maintains data quality knowledge, and mentors analysts in analytical methods, storytelling, stakeholder communication, and quality assurance.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects through continuous improvement.

Analyzes curated and aggregated data to generate actionable business insights, identify growth opportunities, and address enterprise needs. Partners with business leaders and analytics teams to translate business requirements into analytics solutions, present findings, investigate data issues, and support decision-making. The role also manages stakeholders, develops business requirements, supports project execution, addresses risk and governance issues, and provides specialized subject-matter guidance.