Business Analytics Specialist, Mid

Booz Allen Hamilton•San Diego, CA

59d

About The Position

The Opportunity: To transform in today’s evolving digital world, organizations must harness data to resolve emerging problems at scale. Do you thrive on digging deep into complex data and mining solutions? As a analytics professional, you know how to apply your critical-thi nk ing, business analytics, and te chn ical expertise to develop processes, tools, and applications. If you’re ready to grow your industry knowledge and develop solutions for national security, there’s a place for you at Booz Allen. You’ll help introduce and recommend new ideas that deliver deep visibility and insights while being part of a supportive team that roots you on. What You’ll Work On: As a business analytics specialist on our team, you’ll: Assist in using business intelligence data for predictive analytics and facilitating implementation of new tools like Power BI, Tableau, and Qlik Sense. Administer quantitative and qualitative modeling te chn iques to data through use of traditional tools like Micro sof t Excel, and new tools like R and Python. Apply basic principles and analytical best practices for data collection, aggregation, normalization, and analysis. Analyze and process data, while creating and maintaining models and report templates and developing dynamic, data-driven solutions using data engineering tools like Databricks, or low-code-no-code applications such as Micro sof t Power Apps, Automate, and Dataverse. Recommend and implement appropriate performance measures to be produced, including lifts, efficiencies, confidence intervals, and statistical metrics. Provide business clients with detailed, actionable reports documenting the findings from data processing and data analysis for program, finan cia l, and acquisition management activities. Bring your analytical mindset and passion for change to help transform our national security to meet the demands of a modern defense strategy. Join us. The world can’t wait.

Requirements

2+ years of experience in assisting with data visualization, data management, data governance, data strategy, data policy , or data engineering
Experience with querying or analyzing data to answer questions and solve problems
Experience with visualizing data in Power BI to identify or communicate key insights
Knowledge of business analysis or business intelligence tools or approaches
Ability to learn quickly and adapt to changing organizational processes
Secret clearance
Bachelor's degree

Nice To Haves

Experience with the Department of Defense ( DoD )
Experience with SharePoint for knowledge management and data capture or management in Lists
Experience with Tableau for self-service analytics
Experience with Micro sof t Power Query, Databricks, or SQL for data engineering
Experience with Low-Code and No-Code app development in Power Apps, Automate, and Dataverse
Experience with AI and ML Python modeling in scikit-learn, TensorFlow, matplotlib, and pandas
Ability to synthesize results and deliver presentations to product owners or stakeholders
Bachelor's degree in a Te chn ology related field preferred ; Master’s degree in a Analytics related field a plus

Responsibilities

Assist in using business intelligence data for predictive analytics and facilitating implementation of new tools like Power BI, Tableau, and Qlik Sense.
Administer quantitative and qualitative modeling te chn iques to data through use of traditional tools like Micro sof t Excel, and new tools like R and Python.
Apply basic principles and analytical best practices for data collection, aggregation, normalization, and analysis.
Analyze and process data, while creating and maintaining models and report templates and developing dynamic, data-driven solutions using data engineering tools like Databricks, or low-code-no-code applications such as Micro sof t Power Apps, Automate, and Dataverse.
Recommend and implement appropriate performance measures to be produced, including lifts, efficiencies, confidence intervals, and statistical metrics.
Provide business clients with detailed, actionable reports documenting the findings from data processing and data analysis for program, finan cia l, and acquisition management activities.