Data & Analytics

Analyze casino marketing data using analytical tools to identify trends and opportunities, then present actionable insights and recommendations to senior leadership to inform business decisions.

Manage workforce analytics and intelligence initiatives for a global marketing/advertising conglomerate, leveraging data to drive people strategy and organizational insights across WPP's operations.

Execute and optimize paid media campaigns across advertising platforms, using data analytics to drive customer acquisition and business growth. Work cross-functionally with marketing and analytics teams to analyze campaign performance and inform strategy.

Lead a controlling/FP&A team to drive financial transparency and data-driven decision-making across product brands and sales channels, partnering with senior leadership to shape financial performance through analysis and strategic insights.

Build financial infrastructure and FP&A systems from scratch for a hardware audio company, establishing data pipelines, forecasting models, and automated reporting with AI integration while working closely with leadership.

Turn raw company data into actionable business insights by analyzing trends, audience behavior, and building ML models to forecast opportunities. Work autonomously with leadership on high-level strategic questions rather than infrastructure tasks.

A data analyst role at a media intelligence company focused on analyzing media investment performance, client insights, and campaign effectiveness using data and analytics platforms. Day-to-day involves working with data dashboards, reporting, and providing insights to support media strategy decisions.

You'll analyze financial and operational risk data across an organization, building frameworks and dashboards to identify threats, and presenting insights to leadership and cross-functional teams to inform business decisions.

Audit specialist role combining financial auditing with data visualization and business intelligence work, particularly through Power BI dashboard creation and digital reporting. Offers flexibility to specialize in audit, reporting, analytics, or sustainability based on interest.

Build and automate data pipelines and dashboards using Power BI and Snowflake to translate operational questions into insights and recommendations. Work closely with business teams to drive data-driven decision-making across FlixTrain's operations.

Policy advisor role focused on data analysis, research, and financial modeling to support cultural sector governance and public administration. Day-to-day involves collecting/analyzing datasets, conducting qualitative and quantitative research, writing policy briefs, and performing economic analyses on subsidy flows and labor market trends.

Developing statistical analysis plans and performing complex data analyses using SAS for clinical research studies, translating statistical concepts into actionable insights for drug development projects. Day-to-day involves designing analyses, interpreting data, writing statistical methods sections, and coordinating with cross-functional teams.

Develop and maintain quantitative investment models, perform risk analysis on fund portfolios, and create scenario analyses for senior management and stakeholders. Work involves data analysis, statistical modeling, and presenting insights rather than software development.

This role involves calculating, validating, and reporting on fund performance metrics, risk analysis, and portfolio attribution using quantitative methods. Day-to-day work includes data sourcing, benchmark management, cross-team collaboration on reporting projects, and system optimization.

Analyze financial risk and performance metrics across investment portfolios using quantitative methods, build reports and dashboards for stakeholders, and continuously improve analytical methodologies and tools.

Analyze financial risk and performance across investment portfolios using quantitative models, Bloomberg/Morningstar data tools, and custom databases. Work involves building risk models, generating insights for senior management/investors, and maintaining data infrastructure.

Analyze partnership and conversion data to identify growth opportunities, build dashboards and forecasting models, and manage relationships with smaller partners to develop new commercial propositions.

Design and execute growth experiments across the full marketing funnel, analyzing user behavior data to identify optimization opportunities and build scalable automation loops. Work cross-functionally with product, data, and sales teams to drive acquisition and engagement metrics.

Bridge data engineering with business intelligence by building AI-powered analytics and reporting tools that non-technical business users can understand and act on. Work across multiple departments to translate complex data into actionable insights while gradually automating manual reporting workflows.

Support HR operations by migrating and validating employee data, automating repetitive HR processes, and generating analytics reports using existing tools. Focus on data quality, system integration, and process improvement rather than software development.