About the Role

• The Commercial Data Analyst plays a pivotal role in driving data integrity, insight generation, and decision-making across the Commercial Division. The role focuses on validating and sense-checking numbers from partnerships, ensuring accuracy in reporting, and identifying gaps or discrepancies in commercial data.
• You will work closely with the Commercial Operations Manager and the wider team to consolidate data across markets, interrogate its accuracy, and translate it into actionable insights for partnership management, business development, and customer journey optimization.
• This role is ideal for someone who is naturally inquisitive, always asking “why?”, and eager to uncover insights hidden in the data.

Data Validation & Analysis

• Own the process of consolidating commercial data from different commercial partners and countries we operate
• Rigorously sense-check numbers (e.g., GWP, product breakdown, renewal rates, invoiced amounts) and identify discrepancies, gaps, or anomalies.
• Use SQL and Excel/BI tools to analyse and validate data from our database.
• Develop clear escalation processes for data corrections and make sure they are adhered to.
• Support A/B testing and product/customer journey experiments by building data pipelines and analyzing results.

Commercial Operations Support

• Provide analytical support for product changes, operational improvements, customer journeys, and partner-related problem-solving.
• Work closely with customer operations and customer experience teams to ensure data informs customer success strategies.

Reporting & Communication

• Maintain partner dashboards, reports, and TACO access.
• Provide timely and accurate reporting to account managers, leadership, and partners.
• Support the creation of ad-hoc analyses and presentation materials for business development and partner meetings.

Knowledge, Skills, and Abilities

• Live Turaco’s values – care and protect, do the right thing, low ego, and have fun!
• Bachelor’s degree in a quantitative or business-related field (Economics, Statistics, Data Science, Finance, etc.).
• 2+ years of experience in data analytics, consulting, or commercial operations.
• Strong SQL skills (must be comfortable writing queries to extract and analyze data).
• Proficiency in Excel/Google Sheets and at least one data visualization tool (e.g., Power BI, Tableau, Looker, Meta base).
• Excellent numerical sense and attention to detail, with a track record of spotting errors and inconsistencies.
• Inquisitive and proactive mindset – not just reporting numbers but asking questions and uncovering insights.
• Strong communication skills with the ability to translate complex data into clear business recommendations.
• Comfortable working in a fast-paced, ambiguous environment and managing multiple priorities.