Business Analyst - Data Products

Company Description

Job Description

Responsibilities

1 Business Needs Analysis & Problem Identification

• Conduct in-depth analysis of business processes, challenges, and opportunities to identify where data products can provide value.

• Engage with stakeholders across departments to understand their pain points, operational inefficiencies, and strategic goals.

• Use techniques from BABOK, such as root cause analysis, process modeling, and stakeholder interviews, to define business needs before prescribing solutions.

• Challenge assumptions and explore alternative solutions that maximize business value.

• Proactively propose data-driven opportunities instead of waiting for stakeholders to define requirements.

2 Solution Generation & Data Product Strategy

• Work collaboratively with stakeholders and product teams to define problem statements, ideate solutions, and validate hypotheses.

• Leverage industry best practices, market research, and internal data to design innovative and scalable data products.

• Conduct feasibility assessments and cost-benefit analyses to determine the viability of potential solutions.

• Define data product vision, scope, and success criteria based on business needs and strategic alignment.

3 Requirements Management & Documentation (BABOK-aligned)

• Apply BABOK's requirement lifecycle management framework to ensure traceability, consistency, and alignment of requirements.

• Elicit requirements using structured techniques such as interviews, focus groups, prototyping, surveys, and document analysis.

• Develop and maintain structured Business Requirement Documents (BRD), Functional Requirement Specifications (FRS), and Product Requirement Documents (PRD).

• Categorize requirements into business, stakeholder, solution, functional, and non-functional categories to ensure clarity.

• Utilize use case modeling, process flow diagrams, and data flow diagrams to document and communicate requirements effectively.

• Ensure requirements are clear, testable, and adaptable to changing business needs.

4 Stakeholder Engagement & Collaboration

• Act as a trusted advisor to business stakeholders, helping them understand and articulate their data needs.

• Facilitate requirements workshops, brainstorming sessions, and design sprints to drive alignment.

• Manage stakeholder expectations and negotiate priorities to balance business goals and technical feasibility.

• Translate complex data concepts into clear, business-friendly language.

• Maintain ongoing communication with product managers, data engineers, analysts, and business users.

5 Agile & Product Development Lifecycle Management

• Work closely with product teams using Agile methodologies to ensure continuous delivery of valuable data products.

• Define and maintain the product backlog, ensuring well-structured epics, features, and user stories.

• Participate in sprint planning, backlog grooming, daily stand-ups, and retrospectives.

• Collaborate with engineering teams to ensure business requirements are translated into actionable technical deliverables.

• Conduct UAT (User Acceptance Testing) and validate that delivered solutions meet business needs.

6 Data-Driven Decision Making & Performance Evaluation

• Define Key Performance Indicators (KPIs) and Objectives & Key Results (OKRs) to measure the effectiveness of data products.

• Conduct post-launch evaluations, gathering feedback and performance data to drive continuous improvement.

• Monitor usage patterns, adoption rates, and business impact of data solutions.

• Identify areas for optimization and recommend enhancements to improve data products over time.

7 Data Governance & Compliance

• Ensure that data products adhere to data governance, security, and regulatory standards.

• Work closely with data stewards and compliance teams to enforce best practices in data management.

• Define data access policies, quality standards, and validation processes.

8 Innovation & Continuous Improvement

• Stay up to date with trends in data analytics, AI, machine learning, and cloud technologies.

• Research and recommend third-party solutions or integrations to enhance data product capabilities.

• Lead initiatives to introduce new methodologies, tools, and frameworks for business analysis and product management.

• Promote a culture of experimentation, learning, and iterative development.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Business Analysis, Data Science, Computer Science, Engineering, or a related field.

• Proven experience in business analysis, data product management, or product ownership.

• Strong understanding of BABOK principles and structured requirement management.

• Experience working with agile teams, data platforms, and analytics solutions.

Technical & Business Expertise

• Deep understanding of data product lifecycle, data governance, and analytics frameworks.

• Ability to translate business challenges into technical data solutions.

• Familiarity with SQL, data visualization tools (Power BI, Tableau), and cloud platforms (AWS, Azure, GCP).

• Experience with Jira, Confluence, and agile methodologies.

Stakeholder Engagement & Communication

• Proven ability to influence and negotiate with stakeholders across different levels.

• Strong skills in facilitating workshops, writing business cases, and delivering presentations.

• Ability to simplify complex data concepts for non-technical stakeholders.

Metrics & Artifacts (BABOK-aligned)

• Well-defined business needs, problem statements, and impact assessments.

• Structured BRD, PRD, functional/non-functional requirements documents.

• Process models, data flow diagrams, and stakeholder analysis documents.

• Product roadmaps, backlog prioritization frameworks, and feasibility reports.

• Success metrics and post-implementation evaluation reports.

Nice to have

• Certification in CBAP (Certified Business Analysis Professional), PMI-PBA, or CSPO (Certified Scrum Product Owner).

• Experience with data pipelines, ETL processes, and AI-driven analytics.

• Knowledge of APIs, microservices, and data integration architectures.

• Understanding of machine learning and AI applications in data products.

What do we offer?

• Competitive salaries based on your professional experience

• Annual vacation of 25 working days and 1 additional day off on your birthday

• Meals Allowance

• Healthcare Insurance

• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.

• AUTODOC Corporate Discount

• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching

• Free English and German language classes

• Referral Program with attractive incentives

• Flexible working hours and hybrid work

• Fast growing international company with stable employment

Join us today and let’s create a success story together!