Mississippi Staffing
Lead Analytics Engineer
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 rightwhatever 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, you will provide architectural direction, mentor team members, and ensure technical consistency and solution quality across projects. 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. 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. 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. The pay range for this position is $65.00- $75.00 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role include 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.
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 rightwhatever 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, you will provide architectural direction, mentor team members, and ensure technical consistency and solution quality across projects. 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. 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. 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. The pay range for this position is $65.00- $75.00 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role include 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.