Data Analyst, Senior

Booz Allen Hamilton•Springfield, VA

3d•Remote

About The Position

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

4+ years of experience independently performing data analysis and data modeling with minimal guidance or direction
3+ years of experience designing and automating HR performance dashboards for executive decision-makers, including KPI tracking, drill throughs, and scheduled refreshes
3+ years of experience querying relational databases using SQL
2+ years of experience developing data transformation scripts in Python, R, or SAS
Experience serving as a subject matter expert in data analytics, data modeling, and data visualization, and developing or modifying statistical and predictive analytical models, algorithms, queries, and methodologies
Experience maintaining or supporting data ontologies, taxonomies, metadata structures, or data governance frameworks, and coordinating with IT services to resolve data migration, validation, integration, and capability issues
Experience evaluating process performance and recommending measurable improvements, applying quality control standards, and confirming that analytical deliverables meet established performance requirements
Ability to communicate technical information effectively to agency leaders, managers, technical professionals, and team members at all levels
TS/SCI clearance
Bachelor’s degree in Statistics, Mathematics, CS, Analytics, or a Data Science field

Nice To Haves

Experience analyzing human capital, workforce, or organizational data
Experience with data governance, enterprise data standards, or ontology management
Experience developing statistical or predictive solutions using Python, R, SQL, or comparable analytical tools
Experience creating dashboards and data visualizations using Power BI, Tableau, Qlik, or similar platforms
Experience supporting data migration, system modernization, or data quality initiatives
Experience working in a federal government or national security environment
Ability to translate complex analytical results into concise recommendations for non-technical decision-makers
Possession of strong analytical, problem-solving, and critical-thinking skills
Master’s degree in Data Science, Statistics, Analytics, Mathematics, CS, or a related field

Responsibilities

Oversee the development of algorithms and systems.
Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions.
Identify new opportunities to use data science solutions to help your clients meet their toughest challenges.
Provide a deep understanding of the data, what it all means, and how it can be used.
Guide and mentor your team.
Work closely with clients to understand their questions and needs.
Dig into their data-rich environments to find the pieces of their information puzzle.
Perform data analysis and data modeling with minimal guidance or direction.
Design and automate HR performance dashboards for executive decision-makers, including KPI tracking, drill throughs, and scheduled refreshes.
Query relational databases using SQL.
Develop data transformation scripts in Python, R, or SAS.
Serve as a subject matter expert in data analytics, data modeling, and data visualization.
Develop or modify statistical and predictive analytical models, algorithms, queries, and methodologies.
Maintain or support data ontologies, taxonomies, metadata structures, or data governance frameworks.
Coordinate with IT services to resolve data migration, validation, integration, and capability issues.
Evaluate process performance and recommend measurable improvements.
Apply quality control standards.
Confirm that analytical deliverables meet established performance requirements.
Communicate technical information effectively to agency leaders, managers, technical professionals, and team members at all levels.