Top Data & Analytics Jobs

The Operations Analyst will support Customer Relations by building reports, analyzing data, and training team members on data tools to drive operational performance.

The Manager, Identity Fraud Strategy oversees identity verification and authentication strategies, leads a fraud analytics team, and partners with CIAM to minimize fraud while enhancing customer experience.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

The Senior Analyst will analyze marketing performance, optimize sales effectiveness, and collaborate cross-functionally to deliver actionable insights.

Lead complex data analyses and build interactive dashboards to drive actionable business insights. Integrate multiple data sources, support ETL and data pipeline work, ensure data quality and governance, collaborate with stakeholders, and translate trends into recommendations to improve outcomes across the consumer products portfolio.

The Reporting Analyst delivers accurate, actionable reporting and analysis for internal and external stakeholders. Responsibilities include fulfilling ad hoc requests, managing reporting queues and SLAs, validating and reconciling data, documenting report logic and data dictionaries, identifying automation opportunities, and protecting PHI and PII. The role uses SQL and Python for data extraction, transformation, analysis, and automation while maintaining reusable report templates and collaborating with data, visualization, product, operations, compliance, and account management teams.

Senior Data Analyst delivering complex reporting, analytics, and insights for Medicare Advantage supplemental benefits. Build and maintain ETL/ELT pipelines, scalable reports, dashboards, and data products using SQL, Snowflake, Databricks, and Python/PowerShell. Partner with stakeholders and vendors to ensure data quality, compliance, and actionable recommendations; mentor colleagues and drive process improvements.

Build and maintain AI billing, metering, consumption, and allocation data models. Reconcile usage and billing data across vendors, ensure data quality, and develop dashboards showing costs, utilization, trends, variances, and budget performance. Investigate anomalies and optimization opportunities while partnering with technology, finance, and business stakeholders on forecasting, governance, chargeback, cost transparency, and AI investment decisions.

Analyzes large-scale payment datasets to identify optimization opportunities and deliver recommendations that support merchant growth. Builds scalable analytics solutions, ETL pipelines, automation, and self-service tools; leads A/B tests and complex data investigations; develops dashboards; and translates findings into actionable narratives for technical, commercial, and product stakeholders. The role also supports mentorship, knowledge sharing, and analytical best practices.

Analyze customer data and build production-grade data models, dashboards, data products, and self-service analytics capabilities. Automate manual workflows, translate stakeholder needs into scalable solutions, and experiment with generative AI, conversational analytics, and AI-assisted coding tools. The role requires strong SQL, data visualization, analytical problem-solving, business judgment, communication, and collaboration skills. This is a hybrid position requiring three days onsite weekly in Framingham.