Lead Analytics Engineer

CAI; Concord (NH); Remote; USD 80,000 - 100,000; Full time

Job summary

A global technology services firm is seeking a Lead Analytics Engineer responsible for overseeing analytics delivery efforts and providing architectural direction. The ideal candidate will have extensive experience with BI technologies like Power BI and Tableau, and will mentor team members to ensure solution quality. This full-time, remote role offers a competitive hourly wage and benefits including medical and retirement plans.

Benefits

Medical insurance

Dental insurance

Vision insurance

401k retirement account access

Paid sick leave

Qualifications

• 6-8 years of experience in relevant fields.
• 4+ years of hands-on development in BI technologies.
• Expertise in semantic modeling and dimensional data modeling.

Responsibilities

• Lead on analytics delivery efforts and oversee development.
• Design and implement scalable data solutions.
• Mentor analytics engineers on various standards.

Skills

Power BI

Tableau

SQL

DAX

Python

R

Education

Bachelor’s degree in Computer Science, Data Science, Data Analytics, Information Systems

Master’s degree in relevant field

Tools

Alteryx

Power Query

Tableau Prep

Job description

Overview

Lead Analytics Engineer

Req number:

R6220

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.

Responsibilities

Job Summary

As a Lead Analytics Engineer, you will provide architectural direction, mentor team members, and ensure technical consistency and solution quality across projects

Job Description

We are looking for a Lead Analytics Engineer. This position will be full-time and remote.

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

Qualifications

What You'll Need

Required:

• 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.
• 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.

Physical Demands

• Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Compensation and Benefits

The pay range for this position is $65.00- $75.00per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role includes medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave as provided by applicable law.

#LI-GE1

Reasonable accommodation

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 [e-mail] or (888) 824 – 8111.

The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.