Jobskey Consultancy | SAP Business Warehouse Analyst | New York, NY | United States | BigDataKB.com | 2023-01-16

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Job Location: New York, NY

Job Detail:

Job Responsibilities:
Research and understand key business drivers and develop data models to support the analytical needs.

Establish and nurture relationships with business partners to ensure project success.

Be a self-directed, hard-working team member who’s equally comfortable working independently as well as part of our highly collaborative team.

Analyze business workflows to address business needs.

Act in a dual role, as a strategic adviser towards the business and a development project member in the SAP Business Warehouse team to ensure reporting solutions delivery.

Interact with business owners to gather requirements, build data models and reports, document business definitions of data and conduct end user training.

Manage priorities across projects and mitigate conflicting requests.

Deliver sound reporting solutions that are easy to understand /maintain and scalable.

Provide ad-hoc analysis as requested by key end users.

Qualifications:
5+ years of SAP BW working experience

History of meeting deadlines in uncertain environments, and delivering high quality results

Hands on experience with SAP BI Tools including BW, BOBJ, Lumira, SAC and HANA

ETL and performance tuning experience, including coding of BW transformations and user exits

SAP HANA modeling (both graphical and SQL)

ABAP programming

Familiar with agile working methodology (Scrum)

Experience working with data from SAP modules (receivables, Vendor payments, Contracts processing, SD and Supply Chain areas)

Enjoys spearheading reporting projects end to end

Enjoys interacting with diverse groups of users, and the challenge of solving complex reporting problems

Ability to understand and incorporate new technologies and concepts.

Able to play back business process to end users.

Can use data profiling skills during requirements/research phase and play back to end users.

Can discover hidden facts in the data/ business process and present to business users




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