Data Analyst (ML/DS/AI)

We are seeking a Sr. Data Analyst to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions within our clients Machine Learning/Data Science/AI environment. The selected candidate will engage in data exploration using various programming languages, then collect/analyze/interpret data to glean insights, and develop business appropriate recommendations. The selected candidate will serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution, and produces technical documentation that is consistent with professional standards.

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions. ESSENTIAL FUNCTIONS:

-25% Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures
-15% Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations
-15% Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution
-15% Research and analyze data flow across complex data ecosystem including operational and analytical data platforms
-10% Manage the collection of business and technical requirements from stakeholders to deliver data driven solution. Produces and reviews technical documentation that is consistent with professional standards.
-10% Lead in the design, development, validation and delivery of data to provide insight into business decisions
-10% Act as a mentor to all team members

Although this position is remote, we are seeking candidates within the EST timezone to accommodate 1-2 onsite meetings in Reston VA per quarter. Want to learn more? Then you should contact Elite Technical right away for consideration!

Required Skills

- Education Level: Bachelor's Degree (In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is acceptable)
- Experience: 7+ years experience in an Data Analyst/Analytical/Quantitative related role. Must have 3+ years experience working within a Machine Learning/Data Science/AI environment/projects support (as a DA)
- Must have solid SQL Query skills to extra data from different sources
-Must have Python experience (basic understanding would suffice)
- Must be analytical, with a passion for extracting / reviewing data to expand digital product offerings. Curious minded individuals with motivation to learn new skills is critically important to the environment.
- Experience within Healthcare Insurance Industry is HIGHLY PREFERRED
- AWS background is Preferred. (Tools such as: Athena, Glue, SageMaker)
- Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time.
- Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
- Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

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Location

Telecommute

Openings

1

Anticipated Start Date

Monday, July 1, 2024

Job Type

Contract

Anticipated Duration

12 months+

Date Posted

Friday, June 7, 2024

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Elite Technical Services, Inc. participates in the E-Verify program to confirm the employment eligibility of all persons hired. This means that we will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Elite Technical Services, Inc. will not use E-Verify to pre-screen job applicants.

Elite Technical Services, Inc. is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.