Data & Analytics

Strategic sales planning role at a major German bank that involves analyzing market data, translating corporate strategy into sales targets and product initiatives, and driving go-to-market execution across multiple business units.

Day-to-day involves planning and managing paid social media campaigns across TikTok and Meta, analyzing performance data to optimize results, and presenting findings to clients and stakeholders. The role requires strong analytical skills, Excel proficiency, and data-driven decision making rather than coding.

Build and maintain data pipelines, dashboards, and integrations to make organizational data accessible and reliable, with secondary opportunities to work on AI applications. Primary focus is data engineering and business intelligence rather than core software development.

Senior analyst role in bank-wide financial steering and risk control, focused on designing complex reports, deriving management recommendations, and validating risk measurement methods. Involves cross-functional project work and eventual team leadership of an 8-person reporting and accounting team.

Digital marketing apprenticeship focusing on SEO optimization, online advertising campaigns (Google Ads, Meta), e-commerce management, and analytics tracking. Involves monitoring site performance metrics and proposing data-driven improvements rather than writing code.

Lead a small data engineering and analytics team that builds and maintains the data warehouse, models, and metrics infrastructure serving multiple business stakeholders with competing priorities. Spend time reviewing technical decisions, hands-on problem-solving, and arbitrating between different teams' data needs.

Analyze financial performance and licensing metrics for consumer product partnerships across major brands like Peppa Pig and Transformers. Work with contract data, revenue tracking, and partnership KPIs to support business decisions.

Build data infrastructure, evaluation frameworks, and measurement systems to assess AI model performance and capabilities for legal applications. Work involves designing benchmarks, data pipelines, and metrics rather than core model development.

Managing and optimizing Google Ads campaigns across multiple channels (Search, Shopping, PMax, YouTube) with a focus on data analysis, AI tool utilization, and strategic client advisory. The role involves performance analysis, campaign scaling decisions, and developing internal AI standards rather than coding.

This role involves managing month-end financial closes, creating financial reports and internal controls, and supporting budgeting and forecasting for a fast-growing beauty startup. Day-to-day work includes tracking spend, analyzing business metrics, and presenting financial insights to leadership.

Manage Google Ads and paid search campaigns for a renewable energy company, including budget planning, performance analysis, keyword optimization, and conversion strategy. Work involves data analysis, A/B testing, and cross-functional collaboration rather than coding.

Build and maintain data models in dbt/BigQuery and create self-serve dashboards in Looker that translate business requirements into actionable insights for stakeholders across the organization.

Analyze mining operations data, identify patterns and inefficiencies, and provide business insights to optimize Tether's Bitcoin mining and energy solutions. Work with stakeholders to translate technical data into actionable recommendations.

Build and maintain financial forecasting models using corporate planning tools (TM1, NetSuite), analyze budget variances, and present financial insights to leadership. Day-to-day involves spreadsheet modeling, data consolidation, variance analysis, and translating financial data into business narratives for stakeholders.

This role involves building financial models, analyzing business performance data, and preparing forecasts to support strategic decision-making across company entities. Day-to-day work focuses on data validation, scenario analysis, and creating financial reports rather than software development.

Manage paid search and social media campaigns for clients, handling campaign setup, optimization, budget allocation, and producing data-driven performance reports. Role combines analytical problem-solving with client communication and strategic decision-making.

Daily review and assessment of payment transactions, merchant accounts, and fraud cases using risk signals and company policies to identify suspicious activity and make approval/rejection decisions. Involves pattern recognition, trend analysis, and operational case management across multiple risk categories.

Define and build ground-truth datasets for autonomous driving AI by designing annotation tasks, curating labeled data, and developing computer vision classifiers that help other teams train better models. Heavy focus on data quality, problem definition, and model evaluation rather than production system coding.

Manage paid social media advertising campaigns across Meta platforms, focusing on budget optimization, A/B testing creative content, tracking data quality through pixels and APIs, and reporting on customer acquisition costs and revenue metrics.

This role involves setting up and maintaining Google Ads campaigns, monitoring daily performance metrics, and creating reports/dashboards in Excel. It's primarily operational account management with a focus on data organization and stakeholder communication rather than technical development.