Data Analyst
EUR 38,400-70,800 per year
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
Python @ 1
SQL @ 1
A/B Testing @ 1
Looker @ 6
R @ 1
Tableau @ 6
Communication @ 3
CRM @ 3
BI @ 6
Google Analytics @ 5
Power BI @ 6
Data Visualization @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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Responsibilities
- Define, track, and optimize key metrics and KPIs for product and marketing teams
- Analyze users and product to find new business opportunities and areas for improvement
- Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance
- Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities
- Deliver clear, compelling presentations of data-driven insights to cross-functional stakeholders
- Support the development and maintenance that enable scalable analysis (e.g. user segmentation, attribution modeling, funnel analysis)
Requirements
- 2+ years of experience in a data analyst role, ideally in telecommunications, SaaS, or a digital product environment
- Solid proficiency in SQL (experience with Google BigQuery is a strong plus) and Python (or R) for data manipulation and analysis
- Hands-on experience working with CRM or marketing datasets (e.g., user lifecycle, campaign tracking, customer behavior)
- Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis
- Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, or equivalent)
- Proficiency in Google Analytics or other web/app analytics platforms
- Experience in A/B testing analysis, statistical modeling, or marketing attribution is a plus
- Excellent communication skills, a problem-solving mindset, and the ability to translate data into actionable insights for diverse audiences
Salary
Gross Salary: 3200-5900 EUR/Month.