Senior Analyst, Enterprise Analytics

Great Minds

. Partner with senior leadership to frame ambiguous business problems and shape analytical approaches .

Posted 9/21/2026full-timeRemote • District of Columbia • United StatesSenior💰 $90,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering, including advanced proficiency with cloud data warehouses like Snowflake and Databricks, and the ability to design and maintain semantic models. Strong skills in Python for data manipulation and visualization, along with a proven track record of mentoring and delivering actionable analytics solutions.

Highest-signal resume keywords

Cloud Data Warehouse ExpertisePython Data ManipulationSemantic Model DesignAnalytics Deliverables AccountabilityMentoring and Standards Setting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringComplex Query WorkPerformance TuningDimensional ModelingData Validation ChecksVersion ControlCode ReviewModularityDocumentationData Analysis

Soft Skills

Effective CommunicationProject ScopingMentoring

Tools & Technologies

SnowflakeDatabricksBigQueryAzureAWSCRM PlatformsERP SystemsMarketing Platforms

Industry Keywords

AnalyticsData ScienceBusiness AnalyticsQuantitative Discipline

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudERPPython

About the role

Key responsibilities & impact

Partner with senior leadership to frame ambiguous business problems and shape analytical approaches
Deliver actionable, decision-ready analytics solutions
Resolve conflicting metric definitions and establish shared business semantics
Design and own semantic models and reporting frameworks for multiple departments
Integrate information from CRM, ERP, marketing platforms, and ad hoc files
Architect and maintain enterprise-level dashboards
Document analyses and metric logic for long-term maintainability
Set standards for building and reusing analytics work
Mentor analysts and enable self-service users to build sound data products

Requirements

What you’ll need

4+ years of experience in analytics, analytics engineering, or data-focused roles, with accountability for analytics deliverables from framing through delivery
Advanced hands-on fluency with a cloud data warehouse such as Snowflake, Databricks, BigQuery, or similar
Complex query work and performance tuning on a cloud platform; Azure preferred and AWS relevant
Python for manipulating, analyzing, and visualizing data
Experience designing and maintaining semantic models or metric layers serving multiple audiences
Knowledge of dimensional modeling concepts such as star schemas and slowly changing dimensions
Experience applying version control, code review, modularity, and documentation to analytics work
Experience reconciling CRM, ERP, and marketing platforms
Experience building data validation checks
Ability to turn vague senior-stakeholder requests into scoped projects and communicate results effectively
Experience mentoring others or setting standards
Bachelor's degree in Analytics, Data Science, Business, or a related quantitative discipline
A cover letter and resume are required
New employees must successfully complete a background check
Must be legally authorized to work in the United States; visa sponsorship requirements addressed in application