Data Analyst, Senior

Webellian; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical care

Group insurance

Multisport card

English classes

Job summary

Webellian, a leading Digital Transformation and IT consulting company, invites a Senior Data Analyst to strengthen the global Data Platform. You will collaborate with business stakeholders, Product Owner, and BI engineers to design analytics solutions, dashboards, and data models that drive data-driven decisions.

The role focuses on governance, performance, and scalable data delivery across regions. You will gather requirements, translate them into stories, and deliver intuitive dashboards using

Qualifications

• 4+ years as Data Analyst/BI Analyst/Business Analyst in data-focused environments.
• Hands-on experience designing dashboards and data visualizations.
• Strong SQL skills including complex queries and performance.
• Experience with data warehousing and lakehouse concepts.
• Ability to translate business requirements into technical tasks.

Responsibilities

• Gather, analyze, and document business and functional analytics requirements.
• Design dashboards and reports (Power BI, Databricks Dashboards) aligned with KPIs.
• Define data models, metrics, and semantic layers for trusted definitions.
• Translate requirements into user stories and data contracts for engineers and BI developers.
• Collaborate with stakeholders, engineers, and architects on scalable data solutions.
• Promote best practices for data consumption, naming conventions, and dataset reuse.
• Perform data quality checks, investigate anomalies, and trace data lineage.
• Work with Product Owners, QA, governance, and regional teams; participate in Agile ceremonies.
• Maintain functional and data documentation in Confluence; track tasks in Jira.

Skills

Dashboard design

SQL proficiency

Data analysis

Stakeholder communication

Agile / Scrum

Data visualization

BI tools

Tools

Power BI

Databricks

Tableau

Looker

Job description

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 Senior 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.

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.

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

Benefits such as private medical care, group insurance, Multisport card

There are English classes available

Opportunity to work with excellent professionals

High standards of work and focus on the quality of code

New technologiesin use

Continuously learning and growth

International team

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!