Remote Growth Data & Reporting Analyst

Job Description

Role mission

Own the accuracy, scalability, and usability of growth-related reporting and models. Build and maintain the company’s reporting backbone across Marketing, Finance, and Sales, ensuring that leadership and teams have trustworthy, actionable data. North star : deliver reliable reporting & forecasts that directly inform growth decisions, improve efficiency, and drive ROI.

What you’ll do

Reporting & QA

Maintain core Google Sheets reports across Finance and Marketing

Proactively fix broken formulas and scripts, implement automation where feasible

Run periodic data accuracy checks, with documented QA workflows

Respond to feedback and requests from the Chief Analyst with high precision

Cross-team collaboration

Gather data / reporting needs from Finance, Marketing, and Sales functions

Translate needs into usable reports, dashboards, or analyses

Document reporting logic, assumptions, and workflows for transparency

Modeling & forecasting

Build financial models and forecasts that support strategic decision-making

Support marketing funnel analyses, sales forecasts, and growth projections

Apply statistical techniques to optimize conversion and campaign performance

Data systems

Work with data warehouses (e.g., Google BigQuery, Google Cloud) for advanced reporting

Help define the long-term reporting stack and roadmap alongside the Chief Analyst

What success looks like (KPIs)

Data reliability : % error-free reports over time; reduced ad hoc fixes

Reporting velocity : Average turnaround time for new reports or updates

Forecast accuracy : Variance between forecast vs. actuals within agreed thresholds

Automation impact : Hours saved per month from automated workflows

Stakeholder satisfaction : Positive feedback from Finance, Marketing, and Sales teams

Requirements

2-4+ years experience in analytical or reporting-focused roles

Proficiency in Google Sheets (formulas, macros, Apps Script automation)

Experience in building financial models and forecasts

Some statistical background (A / B testing, conversion optimization, regression)

Experience with API integrations and automating data flows

Bonus : experience with data warehouses (Google BigQuery, Google Cloud)

Benefits

Location & work setup

Full-time, remote-first

CET time zone

Occasional travel for team meet-ups may be required

Requirements

Scientist & Chemistry