Senior Analytics Engineer

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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚗 Transport

☁️ SaaS

🤝 B2B

Transport • SaaS • B2B

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• 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

• 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

• Flexible work arrangements • Professional development opportunities