Data Scientist/Qlik Developer in Herndon, VA at Booz Allen Hamilton Inc.

Date Posted: 7/30/2018

Job Snapshot

Job Description

Job Number: R0029534

Data Scientist/Qlik Developer

Key Role:
Provide analytical support to DoD clients and develop technical solutions leveraging Qlik Sense, with a focus on effective integration and sustainability. Produce data visualizations that builds data literacy and provide insight into data structure and meaning. Adapt quickly to comprehend business and operational constraints and needs and resolve those challenges, employing data analysis expertise to create solutions through the application of appropriate analytical techniques and methods. Gather reporting, dashboard, and metric requirements for BI solutions and design, develop, and implement business intelligence solutions using Qlik Sense. Design and create data visualizations and reports according to user requirements and integrate into existing applications. Work with subject matter experts (SMEs) to identify important information in raw data and develop solutions that extract this information from a variety of data formats, including SQL tables and structured metadata. Develop and implement statistical, machine learning, and heuristic techniques to create descriptive and predictive analytics.

Basic Qualifications:

-2+ years of experience with financial analysis and data management

-Experience with using complex Qlik Sense functions and developing optimal scripts

-Experience with writing advanced SQL queries

-Knowledge of front-end design and data visualization techniques and best practices

-Knowledge of developing dashboard extensions in Qlik Sense with JavaScript and D3

-Knowledge of data governance structures and purpose

-Knowledge of basic graphics design for presenting complex data into easy-to-read reports

-Knowledge of SQL database development

-Secret clearance

-BA or BS degree

Additional Qualifications:

-Experience with using Python or R for statistical computing

-Experience with using Cloudera and HDFS in a big data environment

-Experience with analytics and data science techniques, including natural language processing, random forest, clustering, optimization, and linear programming

-Ability to work independently in a fast paced, team-oriented environment

-Possession of excellent oral and written communication skills

-BA or BS degree in Finance, Business Analytics, Mathematics, Operations Research, or Data Science preferred


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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