Job Description
This Analytics Engineer will bridge the gap between business and technical teams by creating trusted, scalable, and efficient data models and products. A successful Analytics Engineer can combine his/her technical expertise with business acumen to deliver actionable insights. They will be working collaboratively and independently. Currently the team is working on Sales efficiency projects and financial PowerBI/data modeling projects. They utilize AWS and Databricks in their current environment as well as DBT, Domo, Python, PowerBI, and SQL. This individual must be able to do every aspect of the ETL process as this is a small team of 5 people and everyone jumps in where needed on projects. This role is a 6 month contract to hire role. During the 1st 6 months you will be working remote, and once you convert full-time.
Pay will vary depending on experience - $13-18/hour
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
5+ years of experience in data engineering, analytics, or related fields; a proven ability
to build and evolve analytics solutions.
● Fluency in SQL, dbt, and ideally Python; strong understanding of modern data tooling
and engineering principles.
● Experience working with Databricks (on AWS preferred).
● Curiosity about Generative AI, data products, and how emerging tools can drive
business value.
● Demonstrated ability to work across business domains (marketing, product, finance,
sales, customer success, etc.).
● Experience with cloud-native data sources like Salesforce or NetSuite.
● Clear, compelling communication—both technical and business-facing.
● A product mindset and a passion for continuous learnin
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.