Business Analyst

Key Skills & Competencies:

Business & Analytical Skills

• Strong understanding of business processes across domains (finance, operations, sales, etc.)
• Experience with data governance, master data, and data quality frameworks.
• Ability to perform root cause analysis, gap assessments, and impact analysis.
• Technical/Functional Skills
• Working knowledge of SQL, Excel, and BI/reporting tools (Power BI, Tableau, Qlik, etc.)
• Understanding of data warehousing concepts, ETL processes, and cloud platforms (Azure, AWS, GCP).
• Familiarity with wireframing tools (Balsamiq, Figma, Lucidchart, PowerPoint, etc.)
• Exposure to Agile/Scrum delivery frameworks; writing user stories, epics, and acceptance criteria.
• Soft Skills
• Strong communication and presentation skills (verbal and written).
• Ability to manage multiple stakeholders and prioritize conflicting demands.
• Structured thinking, attention to detail, and a problem-solving mindset.

Key Responsibilities:

1. Data Maturity & Strategy

• Lead or assist in conducting data maturity assessments across business units.
• Map the current state of data capabilities (people, processes, and technology) to target maturity levels.
• Identify data-related gaps, risks, and opportunities and suggest prioritized improvement areas.

2. Requirements Gathering & Analysis

• Conduct stakeholder interviews and workshops to understand analytics and reporting needs.
• Translate business requirements into functional and non-functional specifications.
• Define KPIs, metrics, and business rules in alignment with strategic goals.

3. Wireframing & Prototyping

• Create mockups, wireframes, or storyboard visuals for dashboards and reports.
• Collaborate with data visualization experts or BI developers to validate design feasibility.

4. Stakeholder & Communication Bridge

• Act as a bridge between business stakeholders and technical/data engineering teams.
• Facilitate clear documentation, user stories, and workflows to ensure alignment.
• Assist in user acceptance testing (UAT) and ensure solutions meet business needs.

5. Project Support Delivery

• Support project managers in tracking delivery timelines and scope.
• Ensure solutions are aligned to enterprise data strategy and governance standards.
• Participate in change management, training, and post-implementation support.

6. Analytics Technology Enablement

• Understand and document data lineage, source systems, and ependencies across the analytics tech stack.
• Assist in developing queries, DAX measures, or model definitions to support visualization and reporting needs.
• Collaborate with data engineers to define and test data pipelines, perform ad-hoc SQL queries, and troubleshoot data
• issues.
• Contribute to the evaluation and adoption of analytics platforms and tools (e.g., Power BI, Tableau, Snowflake, Azure,

SQL).