Data Analyst, Databricks

Guidehouse

Data Analyst supporting client projects involving data analysis and advanced analytics solution delivery. Collaborating with cross-functional teams to deliver accurate and well-documented data-driven solutions.

Posted 7/28/2026full-timeRemote • Colorado, Illinois, Massachusetts, New York, Texas, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $113,000 - $188,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and maintaining analytical datasets and data models using Databricks SQL and Delta Lake, with strong capabilities in SQL and Python for data analysis and reporting. Experienced in developing dashboards and visualizations with BI tools while ensuring data quality and compliance standards.

Highest-signal resume keywords

Databricks SQLData ModelingSQL QueryingPower BIData Quality Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData AnalysisData VisualizationData WarehousingAnalytical Dataset DevelopmentData TransformationReporting SolutionsData GovernanceData Compliance

Soft Skills

CommunicationTeam CollaborationAnalytical Thinking

Tools & Technologies

DatabricksPower BITableauDatabricks AI/BI Dashboards

Industry Keywords

Business IntelligenceData AnalyticsData QualityData InsightsCross-Functional Teams

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll 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.

Benefits

Comp & perks

Comprehensive, total rewards package
Competitive compensation
Flexible benefits package