Databricks Data Analyst
Full Job Posting
What You Will Do:
- Design, build, and maintain analytical datasets and data models using Databricks SQL, Delta Lake, and related tools.
- Write, optimize, and maintain SQL queries and Python notebooks to support reporting, analysis, and business use cases.
- Develop dashboards, reports, and data visualizations using BI tools such as Databricks AI/BI Dashboards, Power BI, Tableau, and Databricks SQL.
- Analyze data to identify trends, patterns, anomalies, and insights that support business decisions.
- Translate business requirements into analytical datasets, queries, dashboards, and reporting solutions.
- Perform data validation, quality checks, and issue resolution to support accuracy, consistency, and reliable reporting outputs.
- Work with cross-functional teams including data engineers, data scientists, solution architects, and client stakeholders.
- Communicate analytical findings, reporting logic, and business insights to both technical and non-technical audiences.
- Document data models, transformations, assumptions, and business logic to support transparency, reuse, and ongoing maintenance.
- Support data governance, access control, security, lineage, and compliance standards within the Databricks platform.
- What You Will Need:
- Bachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field.
- 3-10 years of relevant experience in data analytics, reporting, business intelligence, or analytical solution delivery.
- Strong experience with SQL for data querying, transformation, analysis, and reporting.
- Experience with Python or R for data analysis, automation, or exploratory analytics.
- Experience with Databricks or similar cloud-native analytics platforms.
- Experience with BI reporting tools such as Databricks AI/BI Dashboards, Power BI, or Tableau.
- Experience with data modeling, data warehousing, data quality validation, and analytical dataset development concepts.
- Ability to analyze data, communicate insights clearly, and work effectively in team-based delivery environments.
- Experience developing clear documentation for analytic and reporting solutions, including data sources, business logic, metrics definitions, assumptions, and usage guidance.
- What Would Be Nice to Have:
- Experience using Unity Catalog for governed data discovery, access controls, lineage, schema organization, and secure management of enterprise data assets.
- Familiarity with data modeling, data warehousing, and medallion architecture concepts for curated analytical data delivery.
- Active Databricks Data Analyst Associate or related certification.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience working in project-based or consulting delivery environments.
- The annual salary range for this position is $113,000.00-$188,000.00. 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.
- What We Offer:
- Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
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 Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Qualifications
- Bachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field.
- Experience with Python or R for data analysis, automation, or exploratory analytics.
- Experience with Databricks or similar cloud-native analytics platforms.
- Experience with BI reporting tools such as Databricks AI/BI Dashboards, Power BI, or Tableau.
- Experience with data modeling, data warehousing, data quality validation, and analytical dataset development concepts.
- Familiarity with data modeling, data warehousing, and medallion architecture concepts for curated analytical data delivery.
- Experience with cloud platforms such as Azure, AWS, or GCP.
About Guidehouse
Provides management and technology consulting services to diverse organizations.
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