Description
Primary Skillsets:
Degree (BS, BSc, BE, or Eq) in a subject relevant to IT (12+3 or equivalent) from a recognized institute.
Experience & Profession Skills:
- Minimum of 8+years experience in a Business Analysis role, with a proven track record in Requirements specification, Business Analysis and Business Domain Knowledge.
- Minimum working SDLC experience in at least 3 end to end projects.
- Skilled in Requirements Gathering, analysis, Use Cases, Process Maps, Screen Mechanics, preparing RFTs and RFIs through to vendor evaluations, managing multiple streams of work and coaching and mentoring BAs.
- Excellent and assertive communications, facilitation, elicitation and influencing/negotiating skills ideal pre-requisite for all positions.
- Other BA skill sets like - Presales support including demonstrations, tender responses, etc.
- Ability to elicit, understand and document requirements from customer
- Ability to recommend product to solution fit for customer airline
- Transformation of business information to IT and vice versa Product or project implementation experience acceptance etc.
Details:
Teradata exposure must experience in working on BI DW project
- Airline Experience
- Working experience on Logical data modelling
- Exposure and experience on Big data management/Master data management/Meta data management
- Facilitating governance group for BI
Experience:
Handling medium to large BI-DW project as BA/solution architect
- Exposure to deliver mid to long term solution roadmap for BI projects
- Exposure to multiple BI tools
Pre-Sales Experience:
Working on RFI, RFT for BI projects
Domain knowledge:
AIRLINE, RETAIL or TELECOM
Handling multiple stakeholders across org units. handling sr. managements of 12-15 in one project
Technical/System skills:
BA tools and techniques
Writing business proposals/Business case
BI EXPOSURE
- Understanding BI/DW framework
- conducting sessions workshops mid and senior management
- understanding KPI's dashboard to collect analytics requirement
- Conceptual data modelling logical data modelling
SENIOR data governance- data quality, master data, metadata (desirable)