Analytics Engineer

Location: Remote

About Expertvoice

We work with hundreds of the world’s most respected consumer brands – companies like Garmin, Carhartt, Ariat, TaylorMade, Brooks, and more, as well as retailers like REI and Dick’s Sporting Goods – to engage influential everyday experts, and to build, track and reward their helpful expertise.

At ExpertVoice, we are proud to have cultivated a community of individuals who embody our core values. ExpertVoice employees are authentic, driven, bold, and give a damn. We believe that our people are the heart and soul of our organization and their commitment to these values are what drives our success. When you join ExpertVoice, you become part of a team that is united by a shared passion for excellence and a desire to make an impact.

Summary

We’re looking for an Analytics Engineer II who sits at the intersection of business value and technical craft, someone who can translate messy questions into clean, performant, and scalable data models. This is not a “just write the SQL” role. You’ll own how data moves, transforms, and ultimately drives decision-making across the company.

Reporting to the Manager of Data Engineering, the Analytics Engineer will work closely with BI analysts, product managers, marketing, and other business stakeholders to design pipelines that turn data into actionable insights with elegance, automation, and reliability.

Key Responsibilities

• Transform business logic into code and build data models that map directly to business value.
• Design and orchestrate data workflows using modern tooling across Redshift and AWS environments.
• Write clean, performant SQL and scalable transformations that handle high data volume and complexity.
• Engineer robust, idempotent, and restart-safe pipelines that keep data infrastructure resilient.
• Collaborate cross-functionally with analytics, engineering, and business teams to enable data-driven decisions.
• Automate and optimize existing workflows for speed, reliability, and cost efficiency.
• Uphold data quality and reliability through testing, validation, and reproducibility.

Qualifications

• Bachelor’s Degree (or equivalent) in computer science, information technology engineering, or related discipline and 3-5 years of equivalent work experience.
• Strong SQL skills with the ability to write and optimize complex queries.
• Experience with cloud data warehouses (Redshift strongly preferred)
• AWS expertise (S3, Bedrock, Spectrum)
• Mage.ai (preferred), Airflow, Dagster, or similar modern data orchestration tools.
• Analytical mindset and the ability to translate business questions into technical solutions.
• Experience designing data models using dimensional or entity-relationship approaches
• Proficiency in Python (or similar language) for data manipulation, orchestration, and automation.
• Familiarity with AI coding assistants (Cursor, Claude, ChatGPT) and judgment on when to use them effectively.
• Hands-on experience designing and maintaining data pipelines in production environments.
• Understand the CI/CD workflows and testing for data pipelines.
• E-commerce or digital analytics experience is a plus.

The Benefits of Being on the ExpertVoice Team:

• Compensation: Enjoy competitive pay, plus the chance to earn bonuses through our Company performance plan and annual merit increases.
• Comprehensive Benefits Package: We offer medical, dental, and vision insurance for employees, with coverage extended to eligible dependents. Additionally, our benefits include flexible spending accounts (FSA), health savings accounts (HSA), life insurance, and both short- and long-term disability.
• Generous Parental Leave: Welcome your new addition with up to 15 weeks of paid parental leave for full-time employees.
• 401(k) with Employer Match: Invest in your future with our 401(k) plan and employer match.
• Exclusive Employee Incentives: clients often extend exclusive incentive purchase programs to EV employees.

The approximate compensation range for this role is a base of $110,0000-$130,000 (annually). Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications and geographic location. 

ExpertVoice is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or Veteran status.