Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Key Responsibilities:
- Collaborate closely with cross-functional teams, including data scientists, product managers, and data engineers, to understand business objectives and identify data needs;
- Conduct thorough requirements analysis for data-centric projects, including gathering, documenting, and validating requirements to support data products' design and development;
- Create and maintain comprehensive documentation, including user stories, functional specifications, and data flows;
- Participate in data governance and quality initiatives, ensuring the accuracy, integrity, and compliance of data used across the organization;
- Work with stakeholders to understand business goals and translate them into requirements for data-related projects;
- Gather and document requirements, creating user stories and specifications for data products;
- Act as a liaison between business users and technical teams, helping to ensure clear communication and mutual understanding;
- Support testing and validation of data products, ensuring alignment with business requirements before launch.
- 3+ years as a Business Analyst, ideally with experience in AI or ML-focused projects;
- Strong background in business requirements gathering and process analysis;
- Hands-on experience in AI/ML initiatives (predictive analytics, NLP, automation);
- Familiarity with data governance, quality, and privacy compliance (regulated industries a plus);
- Excellent communication skills to bridge technical & business language;
- Strong analytical and problem-solving skills;
- Experience with data visualization tools (Tableau, Power BI) is a plus;
- Basic understanding of SQL / querying is a plus.
- Experience working on data projects within a regulated industry (e.g., pharmaceuticals, healthcare);
- Familiarity with Agile methodology and related tools (e.g., JIRA, Confluence);
- Knowledge of data governance or data privacy best practices is beneficial but not essential.
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- not applicable for freelancers
Key Skills
Ranked by relevanceReady to apply?
Join N-iX and take your career to the next level!
Application takes less than 5 minutes