Sr. BI Engineer (Tableau SME)

Location: San Francisco
Job Type: Full Time

IQ Workforce provides talent services for the analytics community.  Our team provides access to hard-to- ind resources across the spectrum…from the technical to the quantitative and all combinations in between. We provide independent consultants, contract-to-hire and full-time recruiting services.

Our client is one of the most successful technology start-ups in the last 5 years.  They have grown to 300+ employees, their service area is over 60% of homes in the US and are valued at 4.2 Billion dollars (Feb 2018).

This client has a fast growing 25-person centralized analytics team, made up of Data Engineers and Sr. Data Analysts.  2018 will be a high growth year, with plans to double the size of the team.The Data Engineering team is currently looking to add a Sr. BI Analyst / Engineer with deep knowledge of Tableau.

The Sr. BI Engineer will be a Tableau expert.  The client is working on building out an industry standard, self-service UI for their Retail & CPG partners using Tableau.  The Sr. BI Engineer will be instrumental in this initiative, serving as the subject matter expert on dashboard / design best practices, but also providing expert level guidance around server architecture / administration.

Responsibilities include:
Work with Finance and Business Development teams to identify and document metrics definitions

Design and implement reporting platform to ensure data integrity across various reports and dashboards

Partner with Data Engineers to reconcile various financial data sources. Identify and quantify discrepancies

Passion for and track record of leveraging data in finance, preferably in e-commerce environment

Very strong data retrieval skills using SQL, HiveQL, and Python (or other scripting languages)

Experience with analytical tools such as Tableau, Looker or other tools

Attention to detail and accuracy

Ability to thrive in a dynamic and collaborative environment

MBA and/or management consulting experience

Data engineering / ETL and data pipeline development experience or strong desire to learn