- Bachelor's degree
- Master's degree
- Relational databases
- Quality management
- Communication skills
- Data analysis skills
- Dental insurance
- Health insurance
- 401(k) matching
- Paid time off
E INC is the parent company of EBlock and EDealer, unifying our approach to products, services, and strategies under one Vision and one Mission: to create the best digital auction and retailing platform in the world by connecting the automotive wholesale and retail experiences. Our brands and their technologies make it easy for a vehicle to move between buyers and sellers throughout its entire ownership lifecycle. Learn more at https://e.inc/
Why work with us!
E INC is a growing company that is continuing to evaluate our ongoing commitment and investment in our team members with:
Medical, Dental & Vision
401k/RSP with Match
Paid time off
Flexible working environment
And an amazing culture to top it all off!
E INC is seeking an Analytics Developer to join our data management team to help manage data products. The primary role will be a cross link between the infrastructure and data science team and be able to use data pipelines to develop and stage data structures for analytics model development and deploying of models into production environment. The candidate will work closely with subject matter experts to perform data quality analysis, develop scripts, document and support new and existing data products. The candidate will also coordinate with technology and cross-divisional data teams to help design, test and enhance data pipeline management and distribution systems and processes.
Create data structures for advanced analytical model development
Work with data scientist on deploying of the AI/ML models into production and BI reporting
Form a cross link between the data infrastructure, data science and data analysis teams.
Analyze data quality, develop transformation scripts, remediate quality issues, and work collaboratively with SMEs to implement and test new data products
Coordinate with technology teams to design, construct, install, test and maintain data management systems
Create reusable components and data tools for broader Research department use in accessing and analyzing Research datasets
Help create and evolve data standards and product documentation
Provide product support for clients and internal users of data products
At least 5 years of experience building AWS infrastructure
Experience with using data profiling tools to query data, identify anomalies, gaps and issues
Experience in problem solving and performing root cause analysis on data-related issues
Experience with Python for data analysis and data management activities
Experience designing and configuring technical architecture to support data management activities
Experience in data quality management tools/libraries
Experience working with data in various forms: relational databases, data warehouses, unstructured data environments (HIVE, Impala)
General awareness of data management best practices, emerging trends, and challenges
Working knowledge of BI tools such as Tableau, Google Analytics/Looker etc.
Bachelor’s Degree in Computer Science or Engineering. Masters preferred.
At least 7 years of experience (post Bachelor’s) or 5 years of experience (post Master’s) as a data or software engineering
Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
Comfortable working in a fast-paced environment and interfacing with a broad set of stakeholders across various functions (i.e., Business, IT, Operations)
Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences
E Inc. is an equal opportunity employer and affirmatively seeks diversity in its workforce. E Inc. recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sex, sexual orientation, gender identity, gender expression, age disability, genetic information, ethnic or national origin, marital status, veteran status, or any other protected by law. EOE Minorities/Females/Protected Veterans/Disabled