Business Data Analyst

Reposted One Month Ago
Redwood City, CA, USA
In-Office
Mid level
Information Technology • Consulting
The Role
Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.
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

Hi,

Please go through the below job description and let me know your thoughts at the earliest.

Business Data Analyst

Redwood city, CA

6 months contract

 Key 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.

DataWarehouse background

Healthcare expereience preferred

Reference Data Management

Deliver services that meet internal KPIs & customer SLAs

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

Qualifications

Wire framing on any known tools in the market (Balsamiq, iRise etc)
Extensive knowledge and experience in defining Reference Data Management strategies, implementing RDM services and capabilities, Metadata Management, Data Governance, and Data Quality solutions.

DataWarehouse background

Healthcare expereience preferred

Additional Information


Skills Required

  • Wireframing using tools such as Balsamiq or iRise
  • Extensive experience defining and implementing Reference Data Management strategies and services
  • Experience with Metadata Management
  • Experience with Data Governance
  • Experience implementing Data Quality solutions
  • Data warehouse background
  • Experience with enterprise-level data analysis and systems integration
  • Knowledge of BI/reporting and datamart domain, including dimensional design concepts
  • Functional knowledge across database, database schema, ETL, and reporting tool stack
  • Client-facing communication and soft skills
  • Ability to meet internal KPIs and customer SLAs
  • Healthcare experience
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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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