Partner with teams across the organization to understand their needs in analytics & to create dashboards and reporting tools that allow them to execute tasks more effectively
Work with business leaders to define key metrics and build reporting to monitor and understand performance along with those metrics
Build and maintain scalable ETL processes and pipelines to bring the data into our data warehouse
Work directly with internal partners and business/product/design/engineering audiences to understand the reporting needs and develop scalable solutions keeping reusability in mind.
Build, maintain and administer Looker as our BI tools and be the driving force behind the adoption and effective use of Looker within every team of the company
Maintain the data quality and data integrity of the data warehouse in partnership with our Data Engineers/Platform Engineers
Deep dive into large set of data sets to answer business questions, perform ad-hoc analysis
Reconcile data between various systems, find opportunities to innovate, and drive improvements
4-5 years implementing & managing BI platforms and related analysis tools with large complex data sets from various sources, ideally with a focus on Finance and Tech.
Solid track record of collaboration with a variety of decision-makers to drive impact
Knowledge of relational Databases or Data warehouses
Confident with a scripting language (Python, Ruby, etc.) to build data models and ETLs
A creative approach based on in-depth knowledge of best practices in developing actionable analysis and guidance
Visualization subject matter expert with BI Technologies including Looker, Tableau, and/or another BI tool
Note: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, we will keep your resume on file for future opportunities and may contact you for further discussion.