Data Analytics Engineer

Summary

Join Level Access as a Data Artist and immerse yourself in impactful data projects. You will gain hands-on experience with various problem types, from modeling business data and prediction problems to implementing AI tools and visualizations. This role involves the entire data journey, from raw data to actionable insights and automated decision-making. You will need strong technical skills, creativity, analytical thinking, and attention to detail. Responsibilities include supporting reporting and analytics, conducting in-depth data research, ensuring data quality, developing documentation, collaborating with teams, and maintaining the central data warehouse. The ideal candidate possesses a Bachelor's degree in a relevant field and 1-2 years of experience in data wrangling and statistical modeling.

Requirements

• Bachelor’s degree in computer science, data science or equivalent
• 1-2 years of experience in data wrangling and statistical modeling
• Proficiency in SQL, Python, R
• A proven understanding of statistics and machine learning techniques

Responsibilities

• Support standard reporting, dashboards, and analytics needs
• Explore data for in-depth research and analysis that requires writing code and using APIs as appropriate
• Ensure the quality of data and data models for reporting and downstream products
• Develop and maintain data documentation
• Collaborate across the organization to help teams identify and prepare the right data they need
• Maintain and control the central data warehouse of the company
• Work closely with company team members to enhance business outcomes

Preferred Qualifications

Working with business data (finance, sales, marketing from systems like HubSpot, Salesforce, Gainsight, and NetSuite)