O stanowisku

O projekcie

The consultant will support an analytics initiative focused on understanding the Parts and Accessories business. The existing analytics model combines installed-base information with sales data to identify how much of the available aftermarket potential is currently being captured and where further growth opportunities exist.
The solution has already been piloted in several markets and is now being scaled and extended with a Compatibility and Recommendation Engine. What’s the most important is that the Data Business Analyst will work between business stakeholders, Product Management, Master Data/MDM and Analytics/BI, ensuring that business rules, required data and data quality are clearly understood and validated before technical implementation.
Start: ASAP / target start 19 October 2026
Duration: until 31 December 2026
Extension: possible, depending on the continuation of the initiative
Language: Fluent English
Recruitment process: 3 stages

Twój zakres obowiązków

gathering and documenting business requirements, use cases and business rules
translating business rules into clear data requirements
identifying the data attributes required for compatibility and recommendation logic
mapping data attributes to relevant source systems
profiling and assessing data availability, completeness, consistency and quality
identifying data gaps, root causes, dependencies and associated risks
coordinating data correction, enrichment and remediation activities with relevant stakeholders
validating that data is fit for purpose before implementation by the BI team
supporting sustainable data governance, including ownership, definitions, quality standards and stewardship
coordinating stakeholders and ensuring visibility of priorities, risks, decisions and delivery milestones

Wymagania

several years of experience as a Data Business Analyst, Data Analyst or similar
strong experience translating business requirements into data requirements
hands-on data profiling and analysis, ideally using SQL and Excel / Power Query
experience working with master data, product data and data quality within PIM/MDM environments
good understanding of data governance, including ownership, definitions, quality rules and stewardship
strong stakeholder management skills and experience coordinating business and IT stakeholders without formal authority
very good documentation and analytical skills
fluent English

Mile widziane

To oferujemy

Benefity

O firmie

At Square One Poland we link IT experts with the business. With over 25 years of experience, we specialize in recruitment processes on a global scale. Despite years of experience, we still have a startup DNA and this is our advantage. Our offices are located in London and Warsaw, however, we can reach clients from all over the world, from start-ups to big worldwide corporations.

Czy do nas pasujesz?

several years of experience as a Data Business Analyst, Data Analyst or similar
strong experience translating business requirements into data requirements
hands-on data profiling and analysis, ideally using SQL and Excel / Power Query
experience working with master data, product data and data quality within PIM/MDM environments
good understanding of data governance, including ownership, definitions, quality rules and stewardship
strong stakeholder management skills and experience coordinating business and IT stakeholders without formal authority
very good documentation and analytical skills
fluent English
experience with STEP and/or Stibo Systems
Snowflake or Databricks
aftermarket, spare parts or Parts & Accessories experience
product compatibility or installed-base data
cooperation with Power BI / BI development teams
experience with recommendation engines or analytics models

gathering and documenting business requirements, use cases and business rules
translating business rules into clear data requirements
identifying the data attributes required for compatibility and recommendation logic
mapping data attributes to relevant source systems
profiling and assessing data availability, completeness, consistency and quality
identifying data gaps, root causes, dependencies and associated risks
coordinating data correction, enrichment and remediation activities with relevant stakeholders
validating that data is fit for purpose before implementation by the BI team
supporting sustainable data governance, including ownership, definitions, quality standards and stewardship
coordinating stakeholders and ensuring visibility of priorities, risks, decisions and delivery milestones