Top Remote Data & Analytics Jobs

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.

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.

Designs and maintains secure, reliable data platforms, including relational data models, migrations, pipelines, monitoring, data quality processes, and self-service reporting access. The role protects PHI and PII through access controls, encryption, audit logging, and governance in a HIPAA environment. It also involves backend API development, code reviews, security reviews, stakeholder collaboration, and mentoring teams on data practices.

Develops and deploys Power BI reports and dashboards using Microsoft Fabric, SQL Server, and Synapse Analytics. Creates advanced DAX calculations, data models, visualizations, KPIs, and row-level security. The role supports data governance, change control, Fabric capacity optimization, troubleshooting, and data-driven storytelling. It also presents findings to executive stakeholders, collaborates with data engineering teams, and provides off-hours support through an on-call rotation.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.