Data Analyst

About the Position

Stanowisko: Data Analyst

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About the Company

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What Sets Us Apart?

Why Choose SmartWays?

What You Gain by Working with Us

• Partner relationships
• Knowledge and experience exchange
• Reports needed for business decisions
• Listening to your needs

20+ people

in the team

6 years

of market experience

3000

satisfied clients

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Who is a Data Analyst and What Do They Do?

A Data Analyst is a specialist who transforms raw data into business recommendations that influence the company's operational and strategic decisions. They collect, clean, model, and visualize data, and then present findings to sales, finance, marketing, or management teams.

The Polish market demand for data analysts is growing by about 20% year over year, and the recruitment of data analysts concerns both technology companies and banks, e-commerce, retail chains, and manufacturing companies. Headhunting data analysts at the mid-level focuses on candidates combining proficiency in SQL and Python with an understanding of the business context-this combination determines the real value of the role. Data analyst job postings generate on average 3-4 times more applications than purely technical roles, yet the percentage of candidates meeting the subject matter requirements remains low.

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Key Responsibilities of a Data Analyst

The scope of tasks for a mid-level data analyst includes the full cycle of working with data-from acquiring sources to presenting results to decision-makers. Below are the most common duties found in job descriptions in Poland.

• Writing and optimizing SQL queries on data warehouses (BigQuery, Snowflake, Redshift, PostgreSQL)
• Building and maintaining dashboards in Power BI, Tableau, or Looker Studio
• Cleaning, transforming, and validating data from multiple sources
• Ad-hoc analysis for business teams and management
• Defining and standardizing metrics and KPIs along with their documentation
• Automating reporting in Python (pandas) or BI tools
• Conducting cohort analysis, retention, and funnel analysis
• Collaborating with Data Engineers to define pipeline requirements
• A/B testing-designing, monitoring, and interpreting statistical results
• Presenting findings and recommendations to non-technical stakeholders

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Required Skills and Experience

A mid-level data analyst should have 3-5 years of practical experience and documented analytical projects with real business impact. The table below lists the skills most commonly verified during the recruitment process.

Skill	Required Level	Details
SQL	Advanced	JOINs, CTEs, window functions, query optimization
Python	Intermediate	pandas, numpy, automation of analyses
BI Tools	Advanced	Power BI or Tableau, data modeling, DAX
Statistics	Intermediate	significance tests, regression, A/B testing
Data Warehousing	Intermediate	BigQuery, Snowflake, or Redshift
Data Modeling	Intermediate	star schema, normalization, semantic layers
Excel / Sheets	Advanced	pivot tables, array formulas
Business Communication	High	storytelling with data, presentation to management
English	B2+	documentation, collaboration in international teams
Version Control	Basic	Git, working in dbt or SQL repositories

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Salary and Market Ranges for 2026

A mid-level Data Analyst in Poland earns between 11,000 to 18,000 PLN gross/month under an employment contract, and on a B2B basis, rates reach 22,000 PLN net+VAT in product companies. The range results from several measurable factors.

• Location-Warsaw and Kraków offer 10-15% higher rates than smaller cities
• Industry-fintech, gaming, and SaaS pay above the market median
• Certifications-Microsoft PL-300, Google Data Analytics, Tableau Certified increase the range by 5-8%
• Experience-each additional year in a product role realistically impacts the rate
• Knowledge of Python and dbt-premium over purely BI-oriented profiles

The standard benefits package includes private medical care, a sports card, a training budget of 3,000-6,000 PLN annually, a hybrid or fully remote model, and flexible working hours. Increasingly, there are allowances for equipment and access to e-learning platforms.

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How Smartways.io Recruits a Data Analyst

Recruitment of data analysts at Smartways.io is based on a two-stage technical and business verification, eliminating candidates without real project experience. We conduct the process in parallel on several channels, combining a database of passive candidates with active headhunting.

1. Analysis of needs and the ideal candidate profile (2-3 business days)
2. Search and initial contact with selected candidates (5-7 days)
3. Screening of SQL, BI, and business competencies (3-5 days)
4. Presentation of a shortlist of 3-5 candidates with recommendations (2 days)
5. Support during final interviews and offer negotiations (3-5 days)

The total timeline from brief to offer signing is usually 3-4 weeks. At each stage, you will receive a status report, and we guarantee the final recruitment with the option of a free process repeat.

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FAQ-Common Questions About the Data Analyst Position

How long does the recruitment of a Data Analyst at Smartways.io take?

The standard process closes within 3-4 weeks from brief to offer signing. We usually present the first shortlist of candidates within 10-12 business days.

What is the difference between a Data Analyst and a Data Engineer?

A Data Analyst interprets data and builds reports supporting business decisions, while a Data Engineer designs and maintains the pipelines and infrastructure that deliver that data. An analyst works with ready datasets, while an engineer creates and maintains them.

Does a Data Analyst need to know Python?

At the mid-level, Python is expected at least at an intermediate level-mainly pandas for automating analyses. Some BI roles allow for the absence of Python, but such profiles have lower salary ranges in the market.

How much does a Data Analyst earn on a B2B contract in 2026?

On a B2B contract, a mid-level Data Analyst achieves 15,000-22,000 PLN net+VAT per month, depending on the industry, stack, and location. The highest rates are seen in fintech and SaaS companies.

Do you also recruit other technical roles?

Yes, we also recruit related roles, including senior PHP developer, SAP MM consultant, and solutions architect. We can build data teams that include both analysts and architects simultaneously.

How do you verify the technical skills of candidates?

We use practical tasks with SQL and data modeling, as well as a business interview to check the ability to interpret results. This ensures that only candidates with confirmed project experience make it to the shortlist.

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Stanowisko: Data Analyst

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