Top Data & Analytics Jobs

Analyze supply chain and operations data, build dashboards and decision-support tools, support predictive and prescriptive analytics, gather data requirements, document methodologies, and complete an end-to-end summer project. The intern will work with SQL, Python, Excel, cloud data sources, decision intelligence platforms, and agile sprint practices while collaborating with planners, operators, managers, and business stakeholders.

Owns portfolio-level project performance analytics, KPI development, dashboards, reporting systems, and data governance for a Power EPC organization. Develops executive reports, audits project data quality, leads performance reviews and process improvement initiatives, and supports automation, AI, and digital transformation efforts. Partners cross-functionally with engineering, supply chain, construction, project controls, and leadership to improve project delivery performance and decision-making.

Analytics interns will research company data, write analytical code, uncover insights, and communicate actionable recommendations to leadership. Interns may join Strategic Analytics, Risk, or Business Planning & Analysis teams, collaborating in a fast-paced fintech startup. The 10–12-week program includes mentorship, data challenges, team interviews, and opportunities to support business decisions.

Models complex financial datasets to design and evaluate partner and distributor incentive programs. Analyzes performance trends, forecasts rebates, conducts scenario modeling, and identifies profitability opportunities. Creates dashboards, visualizations, KPI reports, and actionable insights while collaborating with finance, sales, and partner management teams. The role also improves data collection and reporting methodologies and monitors market trends to optimize incentive effectiveness and partner engagement.

Analyzes complex global business data, develops sales, demand, and production forecasts, and delivers executive reports, dashboards, KPIs, and actionable recommendations. The role improves data quality, forecasting accuracy, reporting processes, and business intelligence solutions while partnering with commercial, operations, supply chain, and finance teams to support strategic decision-making and operational performance.

Analyzes customer account data, SLA performance, service metrics, and escalations across delivery hubs. Builds Excel dashboards, pivot tables, scorecards, trackers, and leadership reporting materials. Partners with Operations to validate data, identify root causes, detect risk patterns, and support issue resolution. Maintains data integrity and governance while contributing to reporting standardization and process improvements.

Lead planning and performance analytics for Converse by developing executive scorecards, weekly business insights, KPI frameworks, and decision-support materials. Translate demand, inventory, marketplace, product, and financial data into actionable recommendations. Partner with Planning, Finance, Strategy, Supply Chain, and Technology to improve data quality, reporting consistency, forecasting, and planning effectiveness. Automate recurring workflows, develop scalable analytics solutions, identify risks and opportunities, and mentor analysts and planning partners.

Develop dashboards, visualizations, and executive reporting to analyze programmatic and policy data. Validate metrics, maintain data quality, coordinate with stakeholders, and support data literacy through training and documentation.

Analyze global network telemetry, including metrics, logs, traces, and alerts, to create dashboards and actionable insights. Build real-time analytics pipelines, reusable visualization components, embedded web applications, and AI/AIOps agents for anomaly detection, root-cause analysis, incident prioritization, and proactive recommendations. Collaborate with network, SRE, security, product, and executive stakeholders while improving telemetry data quality and operational reliability.

Designs and maintains interactive dashboards, reports, and visualizations using business intelligence tools. Translates complex data into actionable insights, analyzes trends and performance metrics, gathers stakeholder requirements, ensures reporting accuracy, establishes visualization standards, and presents findings through data storytelling. Collaborates with analysts, engineers, and business teams to improve data accessibility, usability, and dashboard performance.