Data & Analytics

Manage programmatic advertising campaigns across video and social platforms, including platform setup, audience targeting, performance optimization, and reporting. Heavy focus on data analysis, channel strategy, and cross-functional collaboration rather than creative or coding work.

Manage paid social and programmatic video campaigns end-to-end, including platform setup, optimization, audience forecasting, and performance reporting using data-driven insights to drive business growth.

Managing end-to-end online marketing campaigns for an e-commerce business, including social media strategy, content creation, performance tracking, and conversion optimization. Requires data analysis skills and cross-functional collaboration but no coding.

Focus on data cleaning, preprocessing, visualization dashboard creation (Tableau/Power BI), and applying statistical/ML techniques to support analytical intelligence requirements. Involves significant data wrangling and stakeholder communication rather than core software engineering.

This role involves revenue planning, financial forecasting, and business analytics—translating company data into strategic insights for leadership. Day-to-day work includes building financial models, analyzing performance metrics, preparing executive dashboards, and collaborating with sales and finance teams.

Build data pipelines and analytics products for political organizations by collecting data from APIs, maintaining SQL/dbt transformations, monitoring data quality, and creating dashboards and reports to answer business questions.

Analyze complex biological datasets (NGS, transcriptomics, metabolomics) for oncology and inflammation research, working with statistical methods and bioinformatics pipelines to support clinical and non-clinical development. Day-to-day involves data exploration, statistical analysis, pipeline implementation, and client consulting.

Set up and optimize paid advertising campaigns across Google Ads, Meta, and TikTok platforms, managing budgets, analyzing performance data with GA4, and coordinating with platform account managers to hit revenue targets.

Build and maintain data pipelines, dashboards, and analytics systems that power A/B testing and product decisions for a mobile advertising platform. Day-to-day involves writing SQL/Python queries, monitoring data quality, creating visualizations in Tableau, and collaborating with product teams to extract insights from massive datasets.

Accounting and finance operations role managing accounts payable/receivable, payment processing, and financial reporting for a business school. Involves process digitalization projects and financial data analysis.

Turn complex clinical and business datasets into statistical analyses, models, and insights that drive scientific publications and company decision-making. This is a hands-on analytical role focused on translating data into findings rather than building production systems.

Monitor e-commerce marketplaces for unauthorized sellers and brand violations by researching products, collecting evidence (screenshots, URLs, seller data), and producing compliance reports with actionable insights.

Build and maintain data infrastructure using dbt and Snowflake, design scalable data models, and enable business teams to access analytics through BI tools. Mentor junior engineers and collaborate with stakeholders to deliver data-driven solutions.

Set up and optimize paid advertising campaigns across Google Ads, Meta, LinkedIn, and TikTok by managing budgets, tracking metrics (CPL, CTR, conversion rates), running A/B tests, and adjusting strategy based on algorithm changes and performance data.

Build and maintain data models, pipelines, and infrastructure for finance analytics. Work with SQL, data warehousing, and financial metrics to support finance team decision-making and reporting.

Build machine learning models for cellular imaging analysis in drug discovery, working at the intersection of biology, data science, and computational methods to interpret high-content imaging data and drive therapeutic insights.

Enterprise Risk Analyst role focused on identifying, assessing, and monitoring financial risks across the organization. Likely involves data analysis, risk modeling, and reporting rather than software development.

Working with limehome's data team to analyze pricing data, build statistical/ML models, and design experiments that inform revenue strategy. Day-to-day involves data preparation, model development, visualization creation, and cross-functional collaboration with product and revenue teams.

Build and deploy machine learning models and AI systems for insurance claims automation, working cross-functionally with product and engineering teams to turn data insights into business impact.

Turn business data into actionable insights and build ML/AI models that drive product decisions and automate claims processes. Work cross-functionally with product and engineering teams to translate data analysis into measurable business impact.