Data & Analytics

Build and maintain data models, pipelines, and warehouse schemas using dbt to transform raw data into reliable datasets that enable analytics and AI across the organization. Work cross-functionally to establish data quality standards and self-service dashboards for business teams.

Work on a data science competition/project focused on analyzing urban noise levels using timeseries data, computer vision, and geospatial optimization to identify patterns and predict noise reduction solutions.

Data science role focused on analyzing urban green spaces and public transportation patterns using timeseries analysis, computer vision, and geospatial optimization. Involves working with datasets to understand metropolitan mobility and environmental factors.

Operational product data role managing e-commerce product catalog entries, data quality validation, and process automation monitoring for an online grocery platform. Day-to-day involves product onboarding, quality control of automated systems, and identifying/resolving inventory and availability issues.

Day-to-day involves analyzing Meta ad campaign performance data, optimizing budget allocation, running A/B tests on audiences and creatives, and translating insights into recommendations for creative teams. Heavy focus on KPI tracking (MER, ROAS, CPA) and identifying scaling opportunities.

Senior marketing manager responsible for developing data-driven marketing strategies, managing paid media campaigns across platforms (Google, Meta, YouTube), and optimizing performance metrics (ROI, ROAS, KPIs) to drive business growth. Role involves heavy analytics, cross-functional collaboration, and campaign optimization based on performance data.

Work with battery engineers on physics-based modeling, data analysis, and cloud simulations for electric vehicles. This is a working student position that combines domain expertise (battery science) with data analysis and simulation work rather than traditional software development.

Build and maintain the SQL data models, dashboards, and reporting infrastructure that power business intelligence across the company. Focus on transforming raw data into reliable datasets and metrics rather than writing application code.

Day-to-day involves building and optimizing paid digital marketing campaigns across search, social, and programmatic channels, analyzing performance data, A/B testing creative and audiences, and managing campaign landing pages using no-code web tools.

Lead data science initiatives at an iPaaS platform company, likely involving model development, data pipeline architecture, and translating business problems into analytical solutions. Role combines technical depth with cross-functional collaboration.

Build and evaluate machine learning and LLM systems for mid-market clients, focusing on data preparation, model selection, and ensuring real-world reliability through rigorous data quality and evaluation practices.

Day-to-day involves setting up and optimizing paid advertising campaigns across Google Ads and Meta, analyzing performance metrics, running A/B tests, and building tracking dashboards using analytics tools like Google Analytics, GTM, and Looker Studio.

This student role involves managing and optimizing product listings across e-commerce marketplaces like Amazon and eBay, including keyword strategy, customer segment analysis, and trend implementation. Work involves data analysis, cross-functional collaboration with purchasing and marketing teams, and marketplace performance optimization.

Design and build data infrastructure, pipelines, and governance systems that enable analytics and machine learning use cases across Prima's insurance platform. Balance between architecting scalable data systems and collaborating with data scientists and analysts.

Build and maintain machine learning models to forecast electricity demand and renewable generation for energy trading, working with data pipelines and both classical and ML techniques to inform trading decisions in the GB intraday power market.

Design and build data infrastructure, APIs, and automation systems that connect merchant acquisition channels to commission calculations and lifecycle tracking. Heavy focus on data modeling, system architecture, and cross-team collaboration rather than pure feature development.

A marketing support role focused on using AI tools to create content, build email automation workflows, and analyze campaign performance data for B2B domain sales.

Factory controller responsible for monthly/annual financial reporting, budget forecasting, investment analysis, and profitability optimization for an industrial manufacturing site. Involves interpreting financial data and recommending operational improvements.

Plan and execute digital B2B marketing campaigns across paid social channels, managing budgets and optimizing performance based on KPIs, analytics, and funnel data. Requires strategic thinking, data interpretation, and some content creation but minimal technical coding.

An internship/working student role supporting a finance team with liquidity management, financial reporting, forecasting, and spreadsheet automation. The position involves Excel modeling, data analysis, and process improvement using modern tools and AI.