- Building data and intelligence collateral for Sales, Marketing and Customer Success teams
- Working with the Business, Operations and Tech teams to understand and derive data requirements
- Conducting exploratory data analysis to identify patterns in data that eventually serve as an input to a product
- Identifying data trends, presenting the findings and making recommendations
- Building ad hoc reports and/or other requested information and meeting deadlines for customer delivery
- Owning the quality and accuracy of data reports
- Building automation and tooling to proactively surface data issues
Skills and experience required
- 5 to 8 years of experience in a data engineer role
- Good working knowledge of MySQL/PostgreSQL/Redshift and understanding of data modelling and relational databases
- Strong hands-on experience working in Python/R for data analysis and writing highly performant and advanced SQL queries
- Demonstrated experience in timely creation of both standard and ad hoc reporting, data analysis and presentation of findings
- Proficiency with Word, Excel and PowerPoint, with advanced skills in Excel (Pivot Tables, V lookups, and Macros)
- Experience with Mode Analytics is preferable
- Experience with Dashboard and reporting tools
Qualities that will make you successful in this role
- Strong communication and collaboration skills with ability to work with technology and business partners
- Desire to learn emerging technologies
- Identifying a customer s needs before they ask
- Excellent presentation skills