Top Hybrid Data Analysis Jobs

Analyze programmatic advertising marketplace trends, buyer behavior, auction dynamics, publisher performance, and revenue data. Build scalable reports, dashboards, and KPI frameworks; investigate performance fluctuations; identify monetization and optimization opportunities; and translate complex analyses into actionable recommendations. Partner with cross-functional teams, support strategic planning, present insights to executive stakeholders, and improve analytics workflows using SQL, automation, and business intelligence tools.

Supports research and analytics on economic, real estate, and financial trends. Responsibilities include organizing and evaluating data, developing quantitative and qualitative insights, maintaining internal databases, preparing market analyses, and creating content for presentations, webinars, podcasts, websites, and other communications.

Summer technology intern supporting data analytics solutions, including SQL and Python data extraction, transformation, pipelines, reports, and Tableau dashboards in Snowflake. The role applies AI/ML, predictive analytics, natural language querying, and GenAI-assisted analysis to business decision-making. Interns collaborate in Agile teams, refine development backlogs, learn emerging technologies, and build cross-functional relationships.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Engage clients to identify business and risk-management opportunities, lead analytics projects, develop and validate credit-risk and fraud machine-learning models, conduct statistical experiments, forecast portfolio performance, and optimize underwriting and risk strategies. Build automated dashboards and analytical datasets using multiple data and visualization tools. Lead reporting team members and collaborate with senior client management on regulatory objectives and strategic roadmaps.

Analyze strategic business problems using SQL, Python, statistics, data science, and AI tools. Develop KPIs, self-service analytics, automated monitoring, dashboards, and AI-powered workflows. Partner with Product, Operations, Marketing, Finance, and Clinical Operations to identify opportunities, generate actionable insights, improve forecasting, and support strategic decisions. Communicate recommendations to leadership and build scalable, data-driven operational processes.

Investigate and reconcile portfolio, benchmark, model, and custodian performance data. Analyze returns, attribution, benchmark logic, and allocation drift to identify discrepancies and root causes. Build Python diagnostics and SQL queries, maintain data-quality dashboards and audit trails, document findings, and collaborate with quant, engineering, portfolio management, and operations teams to implement validation rules and improve performance reporting reliability.

Paid ten-week risk analyst internship involving risk analysis, data research, consulting projects, and client support in extreme-event risk management. Interns will use Touchstone, Touchstone Re, Microsoft SQL, and Excel to develop data-driven insights, solve problems independently, and collaborate across business units. The role is hybrid in Boston, requiring office attendance at least three days weekly.

Participate in a rotational analyst program supporting Marketing, Digital, Credit, Deposit Management and Product teams. Gather and structure data, perform analyses, design and monitor tests and strategies, optimize workflows, present findings to stakeholders, and support execution of product, pricing, and customer management strategies.

Perform advanced pricing and trade analysis for the Grocery segment, using multiple data sources to guide list pricing, promotions, and investments. Analyze market trends, margins, competitive pricing, volume, and promotional tactics to identify risks and opportunities. Translate data into recommendations and leadership presentations, build reporting frameworks, collaborate cross-functionally, and lead pricing process and tool initiatives.