Top Data & Analytics Jobs

Manage location research and real estate analytics supporting new stores, relocations, existing store optimization, and market planning. Develop and maintain GIS, sales forecasting, and spatial analytics models; analyze trade areas, demographics, market trends, competitive intelligence, and store performance. Partner with Real Estate, Finance, Operations, Store Planning, and Construction teams, manage analytical data vendors, coordinate Real Estate Committee materials, and lead reporting and performance analysis.

Develops and automates complex sales reports and dashboards using Power BI, SQL, SSRS, SSIS, Excel, and related tools. Performs data transformation, cleansing, modeling, analysis, reconciliation, and integrity controls. Serves as a reporting subject matter expert, supports partners and leadership, resolves reporting escalations, mentors analysts, and contributes analytics to revenue-growth initiatives.

Analyzes website and digital marketing performance data, builds dashboards and reports, supports tracking implementation, and evaluates A/B and multivariate tests. The role identifies customer behavior trends, conversion opportunities, and digital performance insights, translating complex analyses into actionable recommendations for Marketing, Product, Engineering, agencies, and leadership.

Design and manage enterprise data architecture, models, integration pipelines, governance, metadata practices, and cloud data platforms. Build data structures supporting reporting, analytics, AI, and self-service business intelligence. Provide technical oversight through architecture and code reviews, collaborate with engineering and analytics teams, and maintain documentation. The role requires extensive SQL, data modeling, cloud architecture, data pipeline, source control, DataOps, and CI/CD experience, along with strong communication and project prioritization skills.

Partners with Corporate Sales to analyze market, audience, sponsorship, category, and consumer data. Develops commercial insights, identifies revenue opportunities, shapes partnership strategy, and translates complex findings into actionable recommendations and compelling narratives. Presents strategic insights to senior stakeholders and collaborates with commercial intelligence, valuation, brand strategy, and creative teams. Requires strong presentation, storytelling, analytical, and commercial strategy skills.

Process geospatial customer deliveries through Python and AWS pipelines, validate and publish map layers, build automated quality checks, investigate processing failures, and document fixes. Automate recurring data operations, measure efficiency gains, and partner with engineering and customer success to resolve field-reported issues. The internship requires full-time availability for 10–12 weeks in the Boston office.

Conduct quantitative investment research using financial datasets, improve investment approaches and security-selection algorithms, and analyze new opportunities. The intern will lead a research project, communicate technical findings, collaborate with quantitative investment professionals, and gain experience applying data-driven methods to global capital markets.

Analyzes contact center call volume, staffing, schedule adherence, KPIs, and performance trends. The role manages real-time staffing adjustments, overtime and time-off planning, exception scheduling, agent skill levels, and workforce data in Alvaria and NiCE CMS. It produces reports and recommendations for leadership, investigates missed KPIs, supports contact center managers, maintains workforce system records, and provides training for new hires.

Analyzes contact center call volume, staffing, schedule adherence, and performance metrics to support KPI achievement. Maintains Alvaria and NiCE CMS workforce management data, schedules, staffing levels, PTO allowances, and agent skills. Produces reports and recommendations for management, investigates performance variances, supports real-time operational adjustments, and collaborates with contact center leaders to improve efficiency and agent satisfaction.

Develop and maintain data engineering solutions using Informatica Data Management Cloud, Control-M, Snowflake, and SQL. Responsibilities include sourcing, transforming, cleansing, ingesting, analyzing, and visualizing data; building automated workflows and scalable ETL processes; supporting data architecture and deployments; and delivering reusable code for large datasets. The role requires collaboration with technical and business partners, troubleshooting, mentoring, and managing multiple priorities.