Senior Data Analyst

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That’s why strong businesses need strong people.

Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions.

We are looking for a Senior Data Analyst to turn complex data into actionable insights, drive data-informed decision-making, and improve the quality and consistency of business analytics. You will work closely with business stakeholders, product teams, and the Data Platform team to develop meaningful reports, optimize analytical processes, and ensure reliable data supports business growth.

📅 Your adventures include:

- Analyze business performance, identify trends, anomalies, and growth opportunities, and provide actionable recommendations to stakeholders;

- Develop, maintain, and improve reports and dashboards that support business monitoring and decision-making;

- Translate business questions into measurable KPIs, analytical frameworks, and meaningful insights;

- Validate analytical results, reconcile data with source systems, and ensure consistency across reports and dashboards;

- Standardize metric definitions and establish a consistent approach to business reporting;

- Write, optimize, and maintain complex SQL queries, reusable datasets, and analytical aggregates;

- Collaborate with the Data Platform team on data modeling and analytical data preparation;

- Translate business requirements into analytical solutions and challenge assumptions with data-driven arguments;

- Communicate findings clearly to both technical and non-technical stakeholders;

- Establish analytical standards, improve documentation, and optimize reporting processes;

- Support and mentor other analysts, sharing best practices and contributing to the development of the analytics function.

Requirements

🧭 What makes you a great match:

- 5+ years of experience in data analytics, business intelligence, or a similar role;

- Strong SQL skills, including complex queries, query optimization, and working with large datasets;

- Hands-on experience with BI and data visualization tools, preferably Tableau;

- Strong understanding of data modeling, business metrics, data quality, and statistical analysis;

- Experience translating business questions into measurable KPIs and actionable business insights;

- Experience validating analytical results, reconciling data, and ensuring consistency across reporting solutions;

- Ability to build clear, business-oriented dashboards and communicate complex findings in an accessible way;

- Strong analytical thinking, attention to detail, and a structured approach to problem-solving;

- Excellent communication skills and the ability to collaborate with cross-functional teams;

- Ability to work independently, manage priorities, and take ownership of analytical tasks.

✨ It would be a plus if you have:

- Experience with dbt, PostgreSQL, Trino, or similar analytical data platforms;

- Familiarity with data warehouse and data lake architectures;

- Experience with automation and AI-assisted analytical workflows;

- Experience mentoring colleagues and establishing analytical standards and best practices.

Benefits

💸 Flexible payment options: choose the method that works best for you; 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care; 📈 Learn & grow: We cover courses and certifications - and offer real opportunities to grow your career with us; 🥐 Benefit Сafeteria: Choose what suits you - sports, language courses, therapy sessions, and more; 🎉 Stay connected: From team-building events to industry conferences - we bring people together online, offline, and on stage; 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow; 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 - we care about results, not clock-ins.