
Technical Business Analyst
- Gurgaon, Haryana
- Permanent
- Full-time
- Collaborate with global stakeholders across business, technology, and data teams to understand and document business requirements.
- Translate complex functional needs into detailed business and data requirements, ensuring alignment with enterprise data strategy.
- Partner with data engineers, product managers, and architects to design scalable solutions for data integration, reporting, and analytics.
- Define and maintain documentation for business workflows, data flow diagrams, use cases, and user stories.
- Drive global data initiatives including data quality, governance, and standardization projects.
- Analyze and interpret data to identify trends, gaps, and opportunities, presenting insights that inform decision-making at scale.
- Support the design and implementation of dashboards and KPIs using tools like Power BI, Tableau, or Qlik.
- Facilitate requirement-gathering workshops, backlog grooming sessions, and stakeholder demos across global teams.
- Ensure compliance with regulatory, privacy, and security standards in data handling and usage.
- Provide guidance and mentorship to junior Business Analysts and QA team members, ensuring alignment in documentation, testing, and delivery standards.
- Engage senior stakeholders and influence decision-making by clearly communicating business impact and data insights.
- Build strong cross-functional partnerships to align goals and drive unified delivery.
- Leverage strong analytical skills to solve complex business problems using structured approaches and data-driven insights.
- Interpret business trends and convert them into meaningful KPIs and operational metrics.
- Deliver clear, actionable requirements and maintain traceability through testing and delivery phases.
- Ensure solution alignment with business goals, scalability, and long-term value.
- Lead requirements efforts across multiple initiatives and mentor junior analysts.
- Promote a culture of collaboration, documentation, and continuous improvement.
- Proven ability to elicit, analyse, and document complex business and data requirements in global enterprise environments.
- Strong grasp of data management principles, including governance, metadata, quality, and master data management (MDM).
- Hands-on experience with data tools and ecosystems such as SQL, Excel, Power BI, Tableau, or similar platforms.
- Working knowledge of data warehousing concepts, cloud platforms (AWS, Azure, GCP), and enterprise data technologies.
- Excellent analytical and problem-solving skills, with the ability to turn raw data into clear, actionable insights.
- Demonstrated success in Agile environments, collaborating with product owners, engineers, and QA teams using tools like JIRA and Confluence.
- Strong communication, organization, and stakeholder management skills, with the ability to work effectively across geographies and time zones.
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- 10–12 years of experience as a Business Analyst, with a strong background in data-centric, global environments.
- Proven track record of leading large-scale business analysis initiatives with measurable impact.
- Expertise in requirement gathering and stakeholder management across multiple regions and business units.
- Exposure to enterprise data platforms, data lakes, and compliance frameworks like GDPR or HIPAA.
- Ability to balance strategic thinking with detailed execution in delivering business-ready data solutions.
- Skilled in change management, end-user training, and driving adoption of data systems and tools.
- Domain experience in healthcare, pharmaceutical ( Customer Master, Product Master, Alignment Master, Activity, Consent etc. ), or regulated industries is a plus.
- Core Business Analysis certifications such as CBAP®, CCBA®, ECBA® (IIBA) or PMI-PBA® are preferred to demonstrate structured analysis, requirement management, and stakeholder engagement expertise.
- Certifications in Agile methodologies (e.g., CSPO, ICP-BAF) and data tools (e.g., Power BI Data Analyst Associate) are a plus.
- N/A