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Federal - Data Analytics Analyst


Boston, MA 02133
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Job Details

Title: Federal - Data Analytics Analyst
Location: USA-Northeast
Job Number: 00541710

Organization: Accenture Federal Services

Location: Suitland, MD

Accenture Federal Services, a wholly owned subsidiary of Accenture LLP, is a U.S. company that helps clients transform bold ideas into breakthrough outcomes. We serve every cabinet-level department and 30 of the largest federal organizations. Our 9,000 dedicated colleagues and change makers work with clients at the heart of the nation's priorities in defense, intelligence, public safety, civilian and health to make a difference for the people they employ, serve, and protect.

Accenture Federal Service's Analytics group focuses on predictive analytic solutions that optimize client missions. Individuals in this role are expected to work with clients as a data scientist and problem solver to construct enduring and innovative solutions. We assist clients with the entirety of the data science pipeline, starting with problem definition and opportunity identification and ending with enduring solutions that help drive decision-making and efficiencies. The consultant will work with a variety of clients requiring the ability to understand and adapt to unique client environments. They will drive teams to translate client challenges into the delivery of an analytics solution.

Key responsibilities include:

+ Work directly with clients to develop analytic questions and define data and technology opportunities

+ Transform and combine data sets (structured, semi structured, unstructured) for exploration and modeling

+ Work with large and complex data sets to solve difficult and non-routine problems

+ Application of a variety of statistical methods/approaches to develop analytical models


Basic Requirements:

+ Bachelor's degree (Computer Science or Related Field)

+ 1-2 years experience data engineering: extracting data from databases, structuring data tables, joining data sets, transforming unstructured data

+ 1-2 years experience in quantitative analysis and statistical modeling (regression, correlation, clustering, etc.)

+ 1-2 years experience using data transformation tools and languages - SQL, R, Python, Java, etc.

+ 1-2years extracting, aggregating, and structuring data along different dimensions

+ US Citizenship required

Preferred Skills:

+ Advanced degree in computer science, data science, business analytics or similar analytics concentration that is business-oriented

+ Experience working with federal agencies and clients

+ Big data experience - Hive, Spark, Pig, MapReduce

+ Knowledge of industry leading analytics and big data technologies, approaches, and tools

+ Experience working in fast-paced collaborative environments

+ Strong written and oral presentation skills

An active security clearance or the ability to obtain one may be required for this role.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Job: Analytics
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