Company Overview:

FilterEasy, LLC is a leading manufacturer and direct-to-consumer distributor of air and water filter products. The subscription-based service eliminates the stress of remembering when to change filters in the home to maintain healthy air and drinking water. With just a few clicks via its modern e-commerce design, customers are set up to receive their filters on-time, when it’s time to change them - never having to think about it again. FilterEasy is private-equity backed by Great Hill Partners.

Job Summary:

FilterEasy is seeking a skilled full stack data analyst with a passion for data and a desire to work with a dynamic team. The Data and Analytics team at FilterEasy builds data products for the entire organization working directly with stakeholders at every level of the company to provide recommendations around optimizing our business processes and driving key metrics. In this role you will independently manage full stack data systems from ingestion pipelines and data warehousing to dashboards and reports, working with stakeholders every step of the way. You will perform analyses, identify areas of opportunity, and recommend data-driven solutions to improve overall performance.

Our Philosophy:

At FilterEasy we are dedicated to creating a supporting environment which favors 

• Building sustainable long term solutions over quick and dirty results.  
• Career growth and mentorship
• Ever evolving best practices
• Maintaining a healthy work-life balance
• A focus on process instead of outcomes

Responsibilities:

• Building ETL pipelines from data sources to our data lake 
• Architecting, deploying, and managing data warehouses and their documentation
• Collaborating with stakeholders to gather data requirements, develop data models, generate reports, and ensure data reliability
• Analyzing large datasets from connected platforms, such as Google Analytics, NetSuite, and BigCommerce, to identify trends and insights
• Developing and maintaining dashboards to visualize data and help stakeholders make data-driven decisions

Basic Qualifications:

• 2+ years of experience in the following areas:

-Working with ETL tools, pipeline management, and data ingestion such as AWS Glue, Matillion, Fivetran, and Stitch

-DBA experience building tables, views, stored procedures, and functions.  

-Supervising data warehouses and data lakes such as Snowflake, Redshift, BigQuery, and S3

• Ability to present findings through clear communication of complex or technical results
• Proficiency in scripting languages (Python and SQL required):
• Proficiency with Looker Studio, Tableau or similar visualization/business intelligence platforms

Preferred Qualifications:

• Knowledge of statistical analysis, predictive modeling, and data visualization
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing
• Experience building and maintaining systems for data cataloging, governance, and alerting
• Experience with e-commerce and subscription businesses
• Prior experience at a growth stage internet or software company.