Senior AWS Business Systems Analyst

Senior AWS Business Systems Analyst (HYBRID).  

Resume must be under 5 pages! Per Hiring Manager
. DO NOT SUBMIT ANYONE WITHOUT A WRITTEN SUMMARY in Your Submittal

Summary should be about the must haves and their experience with it (in which job)

Location:

Oakland, CA (Onsite Tues and Wed EVERY Week)/Hybrid

Type

: 12 Month Contract (Can Be Extended)

Must have GC or USC or H4 or TN Visas  

2 Zoom Interviews

NOTES:

10/10 Communication skills is a MUST!!!!

LinkedIn With Picture

AT least 8 or more years of experience

Local and willing to go onsite Tues and Weds

7+ years of experience as a Business Systems Analyst or a similar role, preferably in data-centric environments.

Solid understanding of AWS data services (Glue, Lambda, S3, QuickSight or similar)

Strong experience with financial systems, including budge and planning, payroll, and personnel data

Job Description Business System Analyst

Position Summary

The Business Systems Analyst (BSA) is expected to bring both business and technical expertise to support the requirements gathering and functional design of enterprise level cloud-based data platform supporting UC Finance diversion. The ideal candidate will have a strong blend of business acumen and technical skills necessary to bridge the gap between UC Finance business stakeholders and technical teams. The BSA will support the Data Architect in the effort to have a data architecture that is centralized, scalable, and efficient for data storage, processing, reporting and analytics.

Knowledge, Skills & Abilities

Strong proficiency in SQL for data querying, analysis, and validation.

Strong knowledge of Python for scripting and data manipulation tasks.

Experience with data warehousing, data lakehouse or data lake concepts, ETL processes, and data modeling.

Solid understanding of AWS data services such as Glue, Lambda, S3, Athena, Lake Formation, and QuickSight

Familiarity with Agile/Scrum methodologies.

Experience with tools such as Atlassian JIRA, Atlassian Confluence and SQL Case Tools such as TOAD or SQL Developer.

Knowledge of extraction, transform and load (ETL) and/or extraction, load and transform (ELT) processes from source to target.

Demonstrated experience performing extensive and comprehensive data repository testing, creating required test plans, and performing unit testing as well as user acceptance testing

Experience with data management, data warehousing, data lake and data lakehouse implementations.

Demonstrated knowledge of business process and analysis functions including reverse engineering, business process and brainstorming maps in Microsoft Visio, and requirements documentation using Atlassian JIRA.

Demonstrated experience with related areas of IT including managed file transfer (MFT) processes, data architecture, data security, web content management, data quality and validation processes, database administration, specifically access management, and data cleanup and conversion.

Firm understanding of data pipelines and processing programs for data integration especially for organizations with multiple locations and source systems.

Excellent analytical and problem-solving skills with attention to detail.

Strong verbal and written communication skills with the ability to translate technical details into business language.

Demonstrated ability to work with others from diverse backgrounds.

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