Databricks Analytics Consultant

Guidehouse; United States; On-site; USD 98,000 - 163,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Personal and Family Sick Time &Company

401(k) Retirement Plan

Life & Disability Insurance

Tuition Reimbursement

Job summary

Guidehouse is seeking a Data and Analytics Consultant to join the Department of Veterans Affairs team. You will help clients maximize data value and automate business processes through data analytics, data science, visualization, and AI.

The role emphasizes developing governed analytics in Azure Databricks, using Unity Catalog and Databricks Apps, and supporting business development and professional growth within a collaborative, client-focused environment.

Qualifications

• Bachelor's degree or equivalent with 4+ years of professional experience.
• Proficiency in Python, SQL and PySpark for data analytics and data science tasks.
• Experience with Azure Databricks and data governance components.

Responsibilities

• Help clients maximize the value of data and automate business processes.
• Implement data analytics, data science, and AI workflows from data wrangling to visualization.
• Develop governed analytics and data applications in Azure Databricks.
• Support business development and internal initiatives.

Skills

Python

SQL

PySpark

Education

Bachelor's degree

Tools

Azure Databricks

Unity Catalog

Databricks Apps

Job description

Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust

What You Will Do:

Our Data and Analytics Consultants on the Department of Veterans Affairs team help clients maximize the value of their data and automate business processes. This high-performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, predictive analytics, machine learning, artificial intelligence, robotic process automation (RPA), and application development. Our services enable clients to define their information strategy, generate mission-critical insights, make data-driven decisions, reduce cost and complexity, increase trust, and improve operational effectiveness. Responsible for researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions for healthcare clients. Conducts economic modeling, statistical analysis, and market surveys. Develops tools, techniques, and theories to facilitate ongoing research activities for the client. Uses predictive and prescriptive analytics tools to forecast what may happen using probabilities and current confidence levels. Our consultants focus on client services while also supporting business development, internal firm initiatives, and ongoing professional development. The role will also support development of governed analytics and data applications in Azure Databricks, including use of Unity Catalog for data and AI governance, Databricks Apps for application delivery, and Azure commercial cloud services for scalable solution development and deployment.

What You Will Need:

• Bachelor's degree ( Relevant experience may be substituted for formal education or advanced degree )
• Minimum of FOUR (4) years of professional work experience
• Prior consulting experience or work similar to consulting is preferred
• Proficiency in Microsoft Word, PowerPoint, and Excel, and familiarity with one or more of the following analytical programming languages: Python, SQL, PySpark
• Familiarity with Azure Databricks and its major components, including Unity Catalog, Databricks Apps, and the Azure commercial cloud environment

What Would Be Nice To Have:

• Hands-on experience developing, governing, or deploying data and analytics solutions in Azure Databricks, with practical knowledge of Unity Catalog, Databricks Apps, workspace administration, access controls, and integration with Azure commercial cloud services
• Proven experience developing data-driven applications using Databricks ecosystem tools
• Knowledge of the Department of Veterans Affairs and/or Veterans Health Administration environment
• Prior experience developing methodologies and performing analysis to assess health plan and provider operations
• Current PIV and ePAS form to access common VA data systems
• Regular interaction with VA data systems, such as CDW, VA Common Operating Platform, Summit Data Platform, PPMS, CCRS, eCAMS, and VSSC
• Advanced proficiency in one or more of the following analytical programming languages: Python, SQL, PySpark
• Excellent oral and written communication skills
• Willingness to contribute to business development, including RFP/RFQ responses, development of white papers and concept papers, and creation and demonstration of prototype solutions for customers

What We Offer:

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance