Business Analytics Consultant, Mid

Booz Allen Hamilton • San Diego, CA

390d • $54,000 - $123,000

About The Position

As a Business Analytics Consultant at Booz Allen, you will leverage your analytical skills to help organizations harness data for solving complex problems, particularly in the realm of national security. This role involves consulting on business intelligence data, implementing predictive analytics tools, and developing data-driven solutions to enhance decision-making processes. You will be part of a supportive team that encourages innovation and growth in a dynamic environment.

Requirements

• 2+ years of experience with data visualization, data management, data governance, data strategy, data policy, or data engineering.
• Experience querying or analyzing data to answer questions and solve problems.
• Experience visualizing data 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.
• Ability to obtain a Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience with the Department of Defense (DoD).
• Experience with Tableau, Qlik Sense, or Power BI for self-service analytics.
• Experience with Microsoft Power Query, Databricks, or SQL for data engineering.
• Experience with low-code-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 Technology related field preferred; Master's degree in an Analytics related field a plus.

Responsibilities

• Consult on using business intelligence data for predictive analytics and facilitate the implementation of new tools like Tableau, Qlik Sense, and Power BI.
• Administer quantitative and qualitative modeling techniques to data using traditional tools like Microsoft Excel and new tools like R and Python.
• Apply analytical best practices for data collection, aggregation, normalization, and analysis.
• Analyze and process data, creating and maintaining models and report templates, and developing dynamic solutions using data engineering tools like Databricks.
• Recommend and implement appropriate performance measures, including lifts, efficiencies, confidence intervals, and statistical metrics.
• Provide detailed, actionable reports documenting findings from data processing and analysis for program, financial, and acquisition management activities.

Benefits

• Health insurance
• Flexible spending account
• Tuition reimbursement
• Retirement plan

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree