Lead Analytics Engineer

Req number: R6230

Employment type: Full time

Worksite flexibility: Remote Who we are

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary As a Lead Analytics Engineer, Analytics Engineering & Delivery team, responsible for designing, developing, and delivering scalable analytics solutions using Microsoft Fabric (Power BI), Tableau, and cloud-native data platforms. The Lead Analytics Engineer provides architectural direction, mentors team members, and ensures technical consistency and solution quality across projects. This role partners closely with data engineers, product owners, and platform engineers to build reusable data products, drive performance optimization, and advance analytics engineering best practices across the enterprise. This position will be full-time and remote.

Job Description

What You'll Do

Serve as technical lead on analytics delivery efforts, overseeing development of enterprise dashboards, reusable semantic models, and curated datasets across Power BI and Tableau platforms.

Design, document, and implement scalable data solutions using dimensional modeling, star/snowflake schemas, and cloud-native compute environments.

Mentor analytics engineers on code quality, performance optimization, visual best practices, and data modeling standards.

Perform solution reviews, validate adherence to enterprise governance standards, and identify areas for continuous improvement.

Collaborate with data platform, data engineering, and architecture teams to implement governed, performant pipelines and support semantic model lifecycle management.

Apply advanced DAX, LOD expressions, and SQL for high-performance calculations, analytics logic, and reusable metrics.

Drive integration of cross-platform tools and Git-based version control to support repeatable and auditable development.

Support agile sprint planning, backlog grooming, and delivery coordination under the direction of the Manager, Analytics Engineering & Delivery.

Partner with the BI Strategy team to translate business requirements into technically sound, scalable solutions that align with enterprise priorities.

Promote visual cognition principles, perceptual design standards, and analytics literacy through solution delivery.

What You'll Need

Bachelor's degree in Computer Science, Data Science, Data Analytics, Information Systems, or a related field with 6-8 years of experience; Master's degree with 4-6 years preferred.

4+ years of hands-on development in Power BI, Tableau, Qlik Sense or other BI technologies, delivering enterprise-scale reports, semantic models, and analytics assets.

Expertise in semantic modeling, star/snowflake schema design, and dimensional data modeling practices.

Strong hands-on experience with DAX, Level of Detail (LOD) expressions, advanced SQL, and programming languages such as Python or R, as well as data preparation tools including Alteryx, Power Query, and Tableau Prep.

Experience with Cloud Data Platforms such as Azure, AWS, or GCP, including storage and compute services.

Familiarity with modern data warehousing technologies such as Databricks, Snowflake, Redshift, Synapse, or equivalent platforms.

Experience with generative AI and natural language technologies such as Microsoft Copilot, Salesforce Einstein, Databricks Ginni, or other LLM-driven analytics tools.

Experience implementing version control and code review processes using Git or equivalent tools.

Proven ability to lead technical workstreams, mentor junior team members, and uphold quality in fast-paced agile environments.

Fluent in English with excellent written and verbal communication skills, capable of translating technical details for business audiences.

Knowledge of IBCS, data storytelling techniques, and perceptual design principles.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Job Segment: Analytics Engineering, Data Architecture, Data Visualization, BI Strategy, Platform Delivery, Technology, Analytics

Physical Demands

This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc.

Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor.

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or – 8111.