Senior Data Analyst

About the Role

As a Senior Data Analyst, Executive Analytics at Namecheap and Spaceship, you will be the go-to analyst for the C-level of both brands and for our board. You will take open-ended questions from leadership, figure out what's really being asked, get the data yourself and come back with a clear recommendation, which you will present yourself. This is a brand-new role: you will define the exec analytics function and the board reporting standard from day one, and your conclusions will go straight to the people making the decisions.

Location: 100% remote from Europe (CET ±2h), B2B contract!

Interview Process: 5 stages - 30 min intro call -> 1h conversation with the Head of BI -> 1h technical interview -> take-home case (up to 5h) -> 1h case presentation

Tools: SQL (BigQuery, MSSQL, MySQL, Trino), Python (pandas, notebooks), Tableau, Looker / Looker Studio, Excel / Google Sheets

Reporting to: Head of BI

Team size: A global BI department of 7 teams, with LLM tools in daily use, and YOU as the dedicated analyst for the C-level and the board!

What You'll Get

• A supportive manager who cares about your well-being and is invested in your professional growth.
• A culture of continuous learning, with clear targets and feedback.
• A global company with over 2500 employees located in more than 26 countries around the world, including offices in 3 countries: Ukraine, Portugal, and India.

Job Responsibilities

You will be the single analytics point of contact for the leadership of two brands at different stages: established Namecheap and fast-growing Spaceship.

• You will run deep dives on whatever leadership needs answered (pricing, retention, product performance, growth).
• Support FP&A with budgeting, plan vs. actual, financial models and forecasts for both brands.
• Own the executive and board reporting pack on one consistent set of metrics.
• Present your findings to the C-level and the board.
• Work on strategic cases like pricing changes, new products and M&A.

Required Skills & Experience

• You will have 5-8 years of experience in analytics, with real experience in SaaS, subscription or e-commerce.
• You will be skilled in SQL across several engines and build your own data marts (we use BigQuery, MSSQL, MySQL and Trino, but you don't need hands-on experience with all of them).
• You have experience with Python for analysis, solid statistics and A/B testing.
• You have working experience with forecasting: time series and cohort models.
• You are experienced with financial modeling in Excel or Google Sheets and comfortable with unit economics.
• You have domain expertise in subscription metrics (retention, LTV), pricing and product analytics.
• You have working experience with Tableau and/or Looker / Looker Studio.
• You turn a vague question into a sharp one, and numbers into a decision.
• You can point to analyses that changed a business decision, with the numbers to prove it.
• You have fluent English (C1+) and are confident presenting to senior leadership.

Experience with Trino or federated queries, dbt, LLM tools in your analytics workflow, or a background in domains, hosting or web infrastructure is a plus.

Benefits

• Embrace work-life balance with a 100% remote role.
• Get a direct line to the C-level and the board, where your work changes decisions.
• Work across two brands with different economics and different problems.
• Grow with a path to leading exec analytics.
• Participate in team-building activities and events.
• Utilize the best tools and technology for work, including LLM tools.

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