Data & Analytics

Transform raw data into strategic insights by collecting, cleaning, and analyzing datasets to identify trends, then communicating findings to non-technical stakeholders through visualizations and reports. Work collaboratively with business teams to address data needs and drive decision-making.

Design and implement AI-powered automation workflows for sales operations using tools like n8n and LLMs, focusing on pipeline generation, customer segmentation, and RevOps process optimization rather than traditional software development.

Performance marketing specialist managing paid advertising campaigns across Google and Meta platforms for portfolio companies, focusing on campaign optimization, budget allocation, and data analysis to drive eCommerce growth.

Manage Amazon marketplace performance by monitoring product metrics, optimizing advertising campaigns, and analyzing data to drive growth and profitability across multiple brands. Role combines business acumen with analytical problem-solving using performance dashboards and metrics.

Performance marketing practitioner managing paid advertising campaigns across Google and Meta platforms for portfolio companies, involving campaign optimization, budget management, tracking setup, and creative strategy development with a data-driven approach.

Design and build data visualization systems and dashboards that communicate energy usage, billing, and sustainability metrics to customers and internal teams. Work with data teams to translate complex datasets into intuitive visual interfaces that drive user understanding and decision-making.

Run Meta (Facebook/Instagram) paid advertising campaigns for an organic food e-commerce company, making data-driven decisions on budget allocation, campaign optimization, and performance analysis to drive profitable customer acquisition.

Build and optimize email marketing automation workflows in Klaviyo, designing segmentation logic, A/B testing frameworks, and predictive analytics implementations. Focus on data-driven decision-making and business metrics rather than coding.

Lead statistical analysis and quality oversight for real-world evidence studies in pharmaceutical research, reviewing protocols, managing external vendor deliverables, and ensuring compliance with regulatory standards. Day-to-day involves protocol review, statistical quality control, cross-functional collaboration, and regulatory documentation.

Build out financial planning, forecasting, and reporting systems from scratch for a growth-stage hardware/audio company. Work directly with leadership to establish data pipelines, automated reporting, and financial controls while integrating AI into decision-making processes.

Day-to-day involves managing e-commerce marketplace accounts (Amazon, Kaufland, OTTO) and Shopify store, performing data-driven optimization of product listings, keywords, and PPC campaigns, plus analyzing performance metrics to drive conversion and revenue growth.

A finance internship focused on process automation, AI optimization, and data-driven improvements in accounting workflows. The role involves investigating business processes, recommending automation solutions, and implementing tools like Peppol rather than writing production code.

Map repetitive business processes at a healthcare textile company and conduct a feasibility study on one AI use case, delivering a research report with implementation recommendations. Work involves process analysis, AI application research, and business case development rather than software development.

E-commerce operations role focused on Amazon/marketplace optimization through listing management, advertising campaign performance analysis, and pricing strategy. Day-to-day involves keyword research, A/B testing ad campaigns, monitoring metrics (ACoS, TACoS), and troubleshooting seller account issues.

Analyze insurance pricing models, claims data, and financial metrics to optimize Laka's cost-sharing collective model and pricing strategy. Likely involves data analysis, SQL/Python, statistical modeling, and cross-functional collaboration with product and operations teams.

HR analyst role focused on salary budgeting, workforce planning, and HR metrics analysis using data modeling and financial forecasting. Day-to-day involves building budgets, analyzing variances, creating financial simulations, and automating HR reports.

Day-to-day involves planning and executing paid social media campaigns across TikTok and Meta, analyzing performance data to optimize results, and presenting insights to clients and stakeholders. The role is heavily data-driven, requiring constant monitoring, A/B testing, and KPI-focused decision making.

This role involves analyzing sales pipeline data, creating performance dashboards and reports, and providing insights to sales leadership and executive teams. Day-to-day work includes data transformation, SQL/BI tool usage, metrics tracking, and cross-functional collaboration with sales, finance, and product teams.

This internship focuses on business development through data analysis, platform management, and marketing campaign optimization for a healthcare staffing startup. Day-to-day work involves analyzing recruitment data, managing job board integrations, and translating insights into marketing campaigns.

Review and validate AI-generated investigation outputs on crypto fraud cases, manually verify system decisions, and route complaints through operational pipelines. Work involves data enrichment, pattern recognition, and decision-making rather than coding.