Business Data Analyst

Posted 2 Days Ago
Redwood City, CA, USA
In-Office
Mid level
Information Technology • Consulting
The Role
Perform business analysis and define requirements for BI and data solutions. Design and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, provide enterprise data integration analysis, wireframe solutions, engage clients, meet SLAs/KPIs, and support solution design and troubleshooting.
Summary Generated by Built In
Company Description

SV Tech Systems prides itself in being the leading provider of recruitment and staffing services for a wide range of industries. We provide staffing services to firms throughout the United States and Canada. We attract the best pool of talent with the aim of nurturing sound work ethics and solid values amongst a highly motivated and diverse workforce.

Job Description

Required Skills:

• Business Analysis

• Requirements for BI and Data solutions

• Wire framing on any known tools in the market (Balsamiq, iRise etc)

• Client facing soft skills.

• Data Warehouse background

• Healthcare experience preferred

• Reference Data Management

• Deliver services that meet internal KPIs & customer SLAs

Qualifications

Required Qualifications:

• Extensive knowledge and experience in defining Reference Data Management strategies, implementing RDM services and capabilities, Metadata Management, Data Governance, and Data Quality solutions.

• Experience with enterprise level data analysis and integration work and/or providing data focused systems integration solutions

• Demonstrated business acumen and the ability to apply technology solutions to solve business problems

• Functional knowledge of a variety of technologies and how they work together. 

• Broad knowledge across the reporting solution stack: Database, Database schema, ETL, Reporting tool set, experience in segmenting solution / implementation across above layers.

• Critical thinking, problem solving skills capable to drive execution, management of SLA commitments and exceptional team results. 

• Knowledge of Business Intelligence (BI) / Reporting and datamart domain

• Data focused, including analysis, typical issues including data integration challenges/solutions and high level knowledge of dimensional analysis / design concepts

• Ability to work across the technology silos to formulate high level designs with project team, assist team to diagnose issues and perform trade-off analysis

Additional Information

Regards,

Praveen,

(408)-496-3744 

www.linkedin.com/in/praveenusitrecruiter/

https://twitter.com/praveenendla02 


Skills Required

  • Business analysis experience
  • Requirements definition for BI and data solutions
  • Wireframing using tools such as Balsamiq or iRise
  • Client-facing communication and soft skills
  • Data warehouse background
  • Healthcare experience
  • Reference Data Management expertise
  • Ability to deliver services that meet KPIs and customer SLAs
  • Experience defining and implementing RDM strategies and services
  • Metadata management, data governance, and data quality experience
  • Enterprise-level data analysis and systems integration experience
  • Broad knowledge across reporting solution stack (database, schema, ETL, reporting tools)
  • Knowledge of BI/reporting and datamart domains
  • Understanding of data integration challenges and dimensional analysis/design concepts
  • Critical thinking and problem-solving to drive execution
  • Ability to work across technology silos to produce high-level designs
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The Company
23 Employees
Year Founded: 2008

What We Do

SV Tech Systems Inc is a leading provider of recruitment and staffing services across various industries, operating in the United States and Canada. The company specializes in delivering world-class technology services by implementing innovative solutions and high-quality IT staffing, helping clients envision and shape their future around the key drivers of technology, productivity, and cost-effectiveness.

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