youriteams
Senior/Expert Data Business Analyst
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Business analysis
- Posted
Skills
Must have
- At least 5 years (Senior) or 10 years (Expert) of practical experience as a Data Business Analyst, Data Analyst or in a similar role.
- Proven ability to translate business requirements into precise data requirements and business rules.
- Hands-on experience with 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.
- Solid understanding of data governance topics, including ownership, definitions, quality rules and stewardship.
- Strong stakeholder management skills and experience coordinating business and IT stakeholders without formal authority.
- Excellent documentation, analytical thinking and communication skills.
- Fluent English.
Nice to have
- Experience with STEP and/or Stibo Systems.
- Familiarity with Snowflake or Databricks.
- Knowledge of aftermarket, spare parts or Parts \u0026 Accessories domains.
- Experience with product compatibility or installed-base data.
- Previous collaboration with Power BI or BI development teams.
- Exposure to recommendation engines or advanced analytics models.
Full description
Job Overview
We are hiring a Senior/Expert Data Business Analyst to join a cross-functional analytics initiative focused on the Parts and Accessories business. The person in this role will bridge business stakeholders, Product Management, Master Data/MDM and Analytics/BI to ensure business rules, data requirements and data quality are defined, validated and ready for technical implementation.
Responsibilities
- Gather and document business requirements, use cases and business rules in collaboration with stakeholders.
- Translate business rules into clear, actionable data requirements for analytics and engineering teams.
- Identify the data attributes required to support compatibility and recommendation logic and map these attributes to source systems.
- Profile and assess data availability, completeness, consistency and quality using hands-on analysis.
- Identify data gaps, root causes, dependencies and risks; propose and prioritise remediation actions.
- Coordinate data correction, enrichment and remediation activities with Product Management, MDM and source-system owners.
- Validate that data is fit for purpose prior to BI implementation and support testing cycles.
- Support sustainable data governance by defining ownership, common definitions, quality standards and stewardship processes.
- Coordinate stakeholders to maintain visibility of priorities, risks, decisions and delivery milestones.
Qualifications
- At least 5 years (Senior) or 10 years (Expert) of practical experience as a Data Business Analyst, Data Analyst or in a similar role.
- Proven ability to translate business requirements into precise data requirements and business rules.
- Hands-on experience with 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.
- Solid understanding of data governance topics, including ownership, definitions, quality rules and stewardship.
- Strong stakeholder management skills and experience coordinating business and IT stakeholders without formal authority.
- Excellent documentation, analytical thinking and communication skills.
- Fluent English.
Nice to Have
- Experience with STEP and/or Stibo Systems.
- Familiarity with Snowflake or Databricks.
- Knowledge of aftermarket, spare parts or Parts \u0026 Accessories domains.