Data Analyst-------------Need GC and USC

Reposted 25 Days Ago
Be an Early Applicant
Southfield, MI, USA
In-Office
Mid level
Artificial Intelligence • Information Technology • Internet of Things • Software • Automation
The Role
The Data Analyst will develop and enhance the data warehouse environment, including data design, database architecture, and accuracy checks, alongside troubleshooting and evaluating new applications.
Summary Generated by Built In
Company Description

Businesses face challenges every day building responsive and agile IT capabilities to grow and stay ahead. Since everyone has access to the same tools, your competitive advantage directly depends on how you apply technology – on the people leading, supporting and optimizing your IT initiatives. USM Business Systems, established in 1999, is an industry-leading private talent management firm, specializing in providing unique IT turnkey solutions, IT staffing solutions, and Talent management insights, enabling you to sustain a truly competitive advantage in this fast-moving environment. USM has offices throughout the US and offshore delivery centers in India. USM is a certified Minority Business Enterprise and is a CMMi Level 3 Organization.

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most recently was ranked #3 on the list of the Top Temporary Staffing firms in the DC Metro Area – Washington Business Journal (2016).

Job Description

Data Analyst

Southfield, MI

6+ Months

Need GC and USC

we’re looking for candidates with 3-5+ years of experience.

Top 3 skills:

Experience writing complex SQL queries

Data warehousing concepts

Healthcare experience

Job Description:

Under the general direction of the Project Manager, Manager, or the Director, develops and enhances a data warehouse environment which includes data design, database architecture, metadata and repository creation. Reviews data loaded into the data warehouse for accuracy. Responsible for the development, maintenance, and support of an enterprise data warehouse system and corresponding data marts. Troubleshoots and tunes existing data warehouse applications. Conducts research into new data warehouse applications and determines viability for adoption. Evaluates existing subject areas stored in the data warehouse. Incorporates existing subject areas into an enterprise model. Creates new or enhanced components of the data warehouse.

Additional Information

If you are interested in the below position please forward your profile to preethib@usmsystems(dot)com or call me on 703 468 0398

Top Skills

Data Warehousing
SQL
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The Company
HQ: Hyderabad, Hyderabad
580 Employees
Year Founded: 1999

What We Do

USM is helping companies change existing business paradigms by bringing tomorrow’s AI and Automation solutions to today’s businesses. Disruptive new technologies are helping corporations become more agile, competitive and profitable. Predictive algorithms are provisioning customer orders more accurately than ever before. Cognitive technologies are enhancing the customer experience at every touch point and open-ledger validation methods are improving the accuracy of complex, global financial transactions. Automation is no longer a choice, it is the engine that drives business growth. Established in 1999 as an IT Consulting services company in the Washington DC metro area, the USM group of companies today consists of 1000+ employees across North America, Europe, Asia and Australia, providing a range of services such as * Automation & Innovation * Architecture & Consulting * Maintenance & Support * Contingent Workforce. Our experts are SMEs in the following critical business areas – data sources (internet devices), mobile commerce strategies, customer acquisition & retention and ultimately, leveraging enterprise data management to drive competitiveness. We have the resources that can help you design your enterprise architecture, build & deploy your applications, as well as manage your IT operations 24x7. Our focus areas include AI, Data science, RPA, Connected cars & devices, Natural language processing, Computer vision, Virtual agents, Blockchain, IoT, Mobile commerce, Retention programs, AR, VR, Gaming, and Enterprise data management.

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