Data Analyst

Reposted Yesterday
Be an Early Applicant
Washington, DC
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Internet of Things • Software • Automation
The Role
The Data Analyst will analyze data to support operational capabilities, conduct data quality assessments, and lead data mapping efforts for a new enterprise data platform.
Summary Generated by Built In
Job Description

Job Title: Data Analyst

Location: Washington DC (Locals only)

Duration: 6+ Months

Note: Need Locals for F2F.

Visa: Any visa is fine except OPT.

Data Analysis is the art of collecting and analyzing data so that FEP can use said data to address gaps in operational capabilities and support analytics and reporting projects. The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data platform. The Senior Data Analyst/Modeler will use his/her technical expertise and work closely with source system experts to perform data research, run advanced queries, assess data quality and integrity issues, determine data definitions, and define data mappings.

Tasks:

Candidate will support the implementation of a Data Integration/Data Warehouse for the Informatics Teams

Data Cleaning – identify erroneous data

Analyze and assess the quality and integrity of the data

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality

Understand the meaning/business context of data

Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems.

Perform data analysis and data modeling to create source to target mappings.

Evaluate risk from statistical information to determine risk to operations or non-compliance.

Create systems models, specifications, diagrams, and charts to provide direction to business and other IT teams.

Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback

Identify, analyze, and interpret trends or patterns in complex data sets.

Preferred Qualifications

• Master of Science in Mathematics, Engineering, or Computer Science

• Working knowledge of HEDIS, Fraud, Waste & Abuse

• Working knowledge of ETL

• Working knowledge of ALM

Qualifications

Required Qualifications

 8+ years demonstrated experience as Data Analyst

 Strong Structured Query Language (SQL) skills

 Demonstrated ability to perform complex queries, assess data quality and develop data mappings.

 Working knowledge of U.S. Healthcare Industry

 B.S. in Mathematics, Engineering, or Computer Science

Additional Information

All your information will be kept confidential according to EEO guidelines.

Top Skills

Alm
ETL
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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