Senior Analytics Engineer

JDPA LIMITED

Senior Analytics Engineer developing complex semantic models and dashboards in Power BI for revenue operations. Mentoring teams and improving data governance with engineering expertise.

Posted 7/7/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in Power BI, including semantic modeling and DAX, alongside strong SQL skills for building and optimizing data pipelines. Proven ability to mentor team members and communicate complex data insights effectively to diverse audiences.

Highest-signal resume keywords

Advanced Power BI ExpertiseExpert-Level SQLStrong Production Experience With dbtExperience With Modern Cloud Data PlatformsExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Semantic ModelingAdvanced DAXSQL TransformationsDimensional ModelingAnalytics Platform Design

Soft Skills

MentoringClear Communication

Tools & Technologies

Power BIDbtSnowflakeDatabricksAzureAWSGCP

Industry Keywords

Analytics EngineeringBusiness IntelligenceData AnalyticsData GovernancePerformance Frameworks

Tech Stack

Tools & technologies

AWSAzureCloudERPGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Design, build, and optimize complex Power BI semantic models, advanced DAX measures, and executive-grade dashboards
Develop and tune dbt models and SQL transformations against Snowflake and other modern cloud data platforms
Own end-to-end data pipelines that consolidate CRM, ERP, product, and financial data into trusted, reusable layers
Diagnose and resolve performance, accuracy, and usability issues in existing reporting independently
Establish and enforce semantic modeling patterns, KPI definitions, naming conventions, and code review practices
Mentor mid-level and junior analytics team members through pairing, review, and documentation
Partner with the Director to shape the analytics architecture and reduce technical debt over time
Champion governance and data quality controls without slowing the team down
Work directly with RevOps and FP&A stakeholders to define metrics, forecasting views, and performance frameworks
Translate evolving requirements into intuitive, high-quality visualizations leaders trust and use
Present findings clearly to technical and non-technical audiences alike

Requirements

What you’ll need

5–8+ years of hands-on experience in analytics engineering, BI, or data analytics
Advanced Power BI expertise: semantic modeling, advanced DAX, and executive dashboard design
Expert-level SQL and strong production experience with dbt
Experience with modern cloud data platforms (Databricks, Snowflake, Azure, AWS, or GCP)
Solid grasp of dimensional modeling and analytics platform design
Track record of building BI solutions directly — not solely managing others who build them
Excellent communication skills and the ability to turn data into clear business insight.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities