Data Analyst, Senior

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NieokreśloneHybryda·WarsawFull-time

#472671·Dodano 2 dni temu·2

Źródło: Webellian

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Tech Stack / Keywords

SQL DatabricksPower BIUnity CatalogJira Confluence REST APIs Python PySparkTableau

Podsumowanie oferty

As a Data Analyst, you will strengthen the development of a global Data Platform by designing analytical solutions, dashboards, and reports for a global insurance company’s finance and operational modules. You will work with business stakeholders, Product Owners, and Data and BI Engineers, using SQL and tools such as Power BI and Databricks.

Wymagania

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, including medallion architecture, dimensional modeling, and 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 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, including Databricks SQL, Unity Catalog, Delta Lake, and 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.

Obowiązki

Gather, analyze, and document business and functional requirements for analytics, reporting, and data consumption use cases.
Design and deliver intuitive, performant dashboards and reports aligned with business KPIs, using tools such as Power BI and Databricks AI/BI Dashboards.
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, including access patterns, self-service enablement, naming conventions, and reuse of curated datasets such as Gold layer and 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.

Benefity

Private medical care.
Group insurance.
Multisport card.
English classes are available.
On-site pinball and PlayStation.

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Kursy językowe

Webellian

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