Data Analyst
- Hiring from
- Poland
- Work type
- Hybrid
- Posted
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About Webellian
Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy.
About the opportunity
We are seeking an experienced Data Analyst to strengthen the development of the global Data Platform. In this role, you will work closely with business stakeholders, Product Owner, Data and BI Engineers to design comprehensive analytical solutions to provide concrete insights and help to build data driven organization.
The Webellian team supports the daily operations and continuous modernization of finance and operational modules within the main operational system of a global insurance company.
The role combines strong analytical skills, solution design capabilities and strong communication skills.
Key responsibilities
Gather, analyze, and document business and functional requirements for analytics, reporting, and data consumption use cases.
Design and deliver dashboards and reports (e.g. Power BI, Databricks AI/BI Dashboards) that are intuitive, performant, and aligned with business KPIs.
Define and document data models, metrics, and semantic layers to ensure consistent, trusted definitions across the organization.
Translate requirements into user stories, acceptance criteria, data contracts, and development tasks for data engineers and BI developers.
Negotiate and recommend scalable, cost-effective solutions with stakeholders, engineers, and architects, weighing trade-offs between speed, governance, performance, and cost.
Define and promote best practices for data consumption: access patterns, self-service enablement, naming conventions, and reuse of curated datasets (e.g., Gold layer / Unity Catalog assets).
Use SQL to explore data, validate pipelines, reconcile numbers, and support ad-hoc analysis.
Analyze data quality and pipeline issues, investigate anomalies, trace data lineage, and identify root causes and improvements.
Work closely with data engineers, Product Owners, QA, data governance, and business stakeholders across regions.
Participate in backlog refinement, sprint planning, UAT, and other Agile ceremonies.
Create and maintain functional and data documentation in Confluence; manage requirements and tasks in Jira.
Ensure solutions meet business needs while respecting platform capabilities, security, and governance constraints.
Competencies
4+ years of experience as a Data Analyst, BI Analyst, or Business Analyst in a data-focused or software engineering environment.
Hands-on experience designing dashboards and data visualizations, with an understanding of UX and storytelling with data.
Solid understanding of data warehousing and lakehouse concepts (e.g., medallion architecture, dimensional modeling, ETL/ELT).
Practical knowledge of SQL, including complex queries, joins, window functions, and performance-aware query design.
Understanding of data flows, integrations, REST APIs, and JSON.
Strong grasp of the software development lifecycle and Agile methodologies.
Experience with Jira and Confluence.
Strong analytical and problem-solving skills, including data issue investigation and root-cause analysis.
Ability to communicate and negotiate effectively with both business and technical stakeholders, and to influence solution design.
Excellent attention to detail and ability to work independently in a global, cross-regional team.
English B2+, C1 preferred.
Can-do attitude and willingness to learn.
Nice to have
Experience with Databricks (Databricks SQL, Unity Catalog, Delta Lake, Workflows).
Experience with BI tools such as Power BI, Tableau, or Looker.
Knowledge of Python or PySpark for data exploration.
Familiarity with data governance, data lineage, and data quality frameworks.
Experience with cloud platforms (Azure, AWS, or GCP) and cost/performance optimization of analytics workloads.
Experience with financial systems, invoicing, payments, or insurance data.
Experience with production support and root-cause analysis.
What we offer
Contract under Polish law: B2B or Umowa o Pracę
Benefits such as private medical care, group insurance, Multisport card
There are English classes available
Hybrid work in Warsaw (Mokotów)
Opportunity to work with excellent professionals
High standards of work and focus on the quality of code
New technologies in use
Continuously learning and growth
International team
Pinball, PlayStation & much more (on-site 🤫)
Join a growing team of dedicated professionals!
We love to pass on the knowledge to grow excellence, speak our minds without playing politics, and just enjoy hanging around together. If you share our passions - we want to meet you! So go ahead and apply ➡
