Analytics Engineer
Description
About Us
Seeking better, doing better. Full of energy and constantly adapting. We are obsessed with growth. Growth of our company and growth of our employees. We’re an innovative startup, making a name for ourselves in the world of logistics. We pride ourselves on being transparent, personable and dedicated. Investing in our customers, carriers and employees is what differentiates us from the competition. Founded in 2017 with just three employees, MoLo boasts over 300 employees three years later. Located in the West Loop of Chicago. MoLo has an insatiable appetite for growth, relentless commitment to customer service and an incomparable work culture. Discover something different. Find your future at MoLo today.
What will you be doing?
The Analytics Engineer at MoLo acts as the bridge between data engineering and analysis within the Business Intelligence team. The Analytics Engineer will utilize engineering best practices to design, transform, test and maintain well documented data. These data products will enable the team, and stakeholders across the organization, to effectively answer key operational questions and make better decisions. In addition to their technical acumen, the Analytics Engineer must be able to work with cross functional teams to drive strategy and achieve MoLo’s goals. Most importantly, this person will demonstrate MoLo’s core values across all aspects of their job and interactions with the MoLo family.
Responsibilities:
- Independently develop, execute and monitor complex data management and analytic processes
- Closely collaborate with fellow Business Intelligence team members and interact with stakeholders across the organization to build data products
- Support MoLo’s Business Intelligence team by establishing best practices, developing tools, and building infrastructure
- Align data architecture with business need
- Identify ways to improve data reliability, efficiency and quality
- Find hidden patterns using data
- Prepare data for predictive and prescriptive modeling
- Deploy sophisticated analytics programs, machine learning and statistical methods
- Develop the vision and map strategy to provide proactive solutions
- Enable stakeholders to extract insights and value from data including the use of advanced analytics
- Promote data governance and management as a strategic discipline
Why MoLo?
- Casual and fun environment focused on teamwork
- Innovative mentorship and career development program
- Competitive salary with bonus structure
- Comprehensive benefits package including 401(k) with company match
Requirements
What we are looking for:
- Experience in third party logistics strongly preferred
- 5+ years of work experience in a data analysis/engineering roles
- Bachelor’s degree preferred
- Expertise with SQL and RDBMS
- Strong understanding of: Python/R, ETL/ELT Tools (Stitch/Fivetran), Data modeling and warehousing (Azure Data Warehouse/Snowflake), Cloud technology platforms (AWS/Azure/GCP), Big data analytics
- Experience with data visualization utilizing enterprise BI tools (Power BI, Tableau)
- Experience working with RESTful APIs
- Experience leading technical projects
- Ability to understand complicated problems and craft into simple solutions
- Excellent technical, analytical and organizational skills
- Excellent written and verbal communication skills