Data & Analytics

Performance Manager responsible for planning, executing, and optimizing paid marketing campaigns across multiple platforms (Meta, Google, Affiliate, TikTok) while managing marketplace operations and budgets with a focus on ROI metrics and data-driven decision making.

Lead end-to-end quantitative market research projects for a boutique research firm, managing client relationships, designing studies, and delivering strategic insights using statistical methods like conjoint analysis and segmentation.

Building and maintaining dashboards, SQL queries, and data models to serve business intelligence needs across the company. Day-to-day involves writing analytics queries, creating visualizations, performing data analysis, and translating findings into business recommendations.

Manage multi-million euro performance marketing campaigns across Meta and TikTok for a D2C e-commerce startup, including campaign strategy, creative direction, budget allocation, and analytics-driven optimization.

Monitor cryptocurrency market data, clean datasets, track trends, and assist in compiling analytical reports using internal tools and dashboards. This is a structured, non-coding data role focused on market insights and trend analysis.

Transform raw data into business insights by building dashboards, conducting analyses, and collaborating with stakeholders to support data-driven decision-making across the organization.

Develop marketing strategy and insights using data analysis, statistical modeling, and their proprietary analytics platform (nova) to guide client investment decisions and optimize campaign performance across multiple channels.

Build and maintain data dashboards and reporting systems that translate marketing and CRM data into actionable business insights, plus conduct analytical deep-dives to identify performance patterns and opportunities for the Revenue Analytics team.

A Data Analyst role at a digital innovation consultancy where you'll analyze data to inform business decisions and customer experience improvements, leveraging analytical thinking rather than software development.

Day-to-day involves managing Amazon marketplace accounts (PPC campaigns, listing optimization, keyword research) and expanding presence on other e-commerce platforms, with heavy focus on performance metrics, KPIs, and data-driven decision making.

Junior marketing manager responsible for building and optimizing digital marketing campaigns (SEO/SEA, Google Ads, Meta Ads) using Typo3, analyzing performance metrics, and producing video content for a tax consulting firm.

This role focuses on owning end-to-end digital marketing strategy and implementing AI-driven marketing automation platforms (Salesforce Marketing Cloud). Day-to-day work involves analyzing campaign performance data, optimizing conversion funnels, managing paid advertising across multiple channels, and building automated lead nurturing workflows.

E-Commerce Manager focused on analyzing KPIs, optimizing conversion rates and customer journeys, and executing data-driven marketing strategies across channels for an online fragrance brand.

This internship involves managing paid advertising campaigns across Meta, Google, and TikTok platforms, creating social media content, community management, and WordPress blog development. The role focuses on performance metrics, analytics interpretation, and campaign optimization rather than software development.

Lead marketing strategy and campaign execution for a B2B AI SaaS platform, with heavy emphasis on data analysis, marketing automation, A/B testing, and cross-functional collaboration with sales and product teams.

Day-to-day involves researching affiliate programs, building and optimizing paid advertising campaigns across Google Ads and social platforms, analyzing performance metrics (ROAS, CPA, conversion rates), and identifying growth opportunities through data-driven decision making.

You'll analyze pricing data through exploratory analysis, build dashboards, and develop statistical models (price elasticity, demand forecasting) to inform Gametime's pricing strategy and business decisions.

Day-to-day involves analyzing sales and performance data to drive revenue optimization, building automated workflows using no-code/low-code tools (HubSpot, Make.com, AI tools), and collaborating cross-functionally to improve operational processes and scalability.

A Commercial Operations role focused on analyzing sales/performance data, building automations and scalable processes using no-code/low-code tools (HubSpot, Make.com, AI tools), and optimizing business operations for a B2B SaaS startup.

Apply statistical analysis, data modeling, and business acumen to solve product and business problems across Weedmaps' platforms. Spend time uncovering insights, building hypotheses, presenting data-driven recommendations, and collaborating with cross-functional teams—with some production ML model development involved.