Data Analytics Engineer

Eliassen Group
life insurance, 401(k)
United States, Massachusetts, Reading
55 Walkers Brook Drive (Show on map)
Nov 15, 2024
Description: 100% Remote We are looking for a Data Analytics Engineer to join our client's team where you will tackle highly complex and interesting data challenges on a daily basis. From building pipelines and data marts, to performing critical strategic analysis. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75 - $80 / hr. w2 Responsibilities: Partner closely with stakeholders to understand their most complex problems, utilizing data to devise eective insights and architectural solutions Lead optimizations in go-to-market processes, ensuring data models integrate new product launches eciently Foster a self-service data culture by creating user-friendly tools and dashboards, and empowering business users through training Regularly update stakeholders, teammates, and management on project progress, risks, and completions. Experience Requirements: ABOUT YOU Data Modeling Expert: You have extensive experience working with large datasets in high-volume, fast-paced consumer businesses, and are adept at building data models preferably using DBT but Snowflake or Airflow would work Technically Savvy: An expert in SQL and Python, you excel in using tools such as Mode and PowerBI to uncover deep analytical insights Critical Thinker: You thrive at transforming complexity into clarity, harnessing data to drive strategic decisions Exceptional Communicator: Skilled at conveying complex ideas in a relatable way, you facilitate understanding across diverse audiences *Strong Business Acumen: Prefer Data Analytics Engineer who have familiarity with accounting concepts, SOX, and ITGCs, but not required MINIMUM REQUIREMENTS 7-10 years of experience in business intelligence, data analytics, or data engineering Strong experience with SQL for data modeling NOT just SQL queries for dashboards Data Modeling Comfortable using: GitHub, Jira, Excel, Snowflake, DBT, Airflow Public company experience