Business Analytics SME, Senior in Herndon, VA at Booz Allen Hamilton Inc.

Date Posted: 5/8/2018

Job Snapshot

Job Description

Job Number: R0024112

Business Analytics SME, Senior

Key Role:

Develop technical solutions leveraging Qlik Sense and focus on effective integration and sustainability. Produce data visualizations that provide insight into data structure and meaning. Adapt quickly to comprehend business and operational constraints and needs and resolve those challenges, including employing expertise in data analysis 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 DoD financial systems

-Experience with federal accounting practices and regulations, including application accounting, definitions, journal line types, adjusted trial balances, unadjusted trial balances, and general ledgers

-Experience with analyzing budgeting, funds management, and funds distribution processes associated with reimbursable and appropriate authority in a federal environment

-Ability to write advanced SQL queries

-Ability to comprehend complex Qlik Sense functions for developing optimal scripts and building Dashboard extensions with JavaScript and D3

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

-Secret clearance

-BA or BS degree

Additional Qualifications:

-Experience with using Python and R for statistical analysis

-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

-Knowledge of data governance structures and purpose

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

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

-Possession of excellent oral and written communication skills

-MA or MS 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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