Data Analytics Engineer

Job Overview
This on-site Data Analytics Engineer role is central to helping a fast-growing, operationally complex organization make smarter, faster decisions. You'll work closely with cross-functional teams to turn fragmented internal data into reliable, decision-ready insights. The early focus is heavy on business intelligence—cleaning, modeling, and visualizing data across departments—while setting the stage for more advanced analytics and data engineering work as the company matures.

Ideal for someone who thrives in ambiguity, loves solving messy data problems, and wants to help build an analytics function from the ground up.

Key Responsibilities of a Data Analytics Engineer

• Meet with internal teams to understand their challenges and translate them into BI solutions
• Build and maintain dashboards to give teams visibility into real-time business performance
• Structure and transform data from disconnected sources into unified, reportable formats
• Write SQL and Python code to prep and model data for analysis
• Partner with stakeholders to define KPIs and automate recurring reports
• Contribute to the design and expansion of the company’s data warehouse (Amazon Redshift)
• Ensure data accuracy and consistency across systems and business entities
• Troubleshoot data discrepancies and build scalable, repeatable solutions
• Document workflows, metrics definitions, and reporting logic
• Stay adaptable and curious—expect evolving tools, processes, and priorities

Data Analytics Engineer Requirements

• 2–5 years of experience in a data analyst, BI developer, or analytics engineer role
• Proficiency in SQL and experience with modern BI tools (e.g., Tableau, Power BI, Looker)
• Exposure to Python or similar scripting languages for data preparation
• Ability to work with messy or incomplete datasets across disparate systems
• Strong collaboration and communication skills, especially with non-technical users
• Comfortable working through ambiguity and evolving priorities
• Demonstrated curiosity and willingness to learn new technologies
• Bonus: Experience with Amazon Redshift or other cloud data platforms
• Bonus: Familiarity with operational data from asset-heavy environments

Salary Expectations
The base salary for this role is expected to range between $80,000 and $110,000 depending on experience, with additional potential for profit sharing (historically estimated at 15–25% of annual salary, but not guaranteed). Benefits include:

• 401(k)
• Tuition reimbursement
• Health, dental, and vision insurance
• Flexible scheduling with hybrid options based on performance
• Cell phone stipend

How to Apply
Click the Apply button below and submit a resume that highlights your BI and analytics experience—particularly any work involving internal data systems, dashboarding, or SQL/Python-based data modeling.

Interview Tips
Be ready to talk about:

• Dashboards and reports you've built—and who used them
• How you handled ambiguous or shifting data requirements
• Situations where you troubleshot inaccurate or inconsistent data
• Your approach to learning new tools and solving technical problems
• How you stay organized and prioritize requests from multiple teams

This is an exciting opportunity to shape how data is used at a critical stage in the company’s growth. If you’re energized by solving data chaos, collaborating across teams, and building smarter systems—this could be a strong fit.

Ready to apply for this Data Analytics Engineer position?
Click the Apply button to submit your resume.