Senior Analytics Engineer

Senior Analytics Engineer

Type: FTE/Perm

Location: San Francisco, CA (local candidates only)

Salary: $125k - 170k + stock options

Who we are

Focal Systems is the industry leader in retail AI solutions. We are a Silicon Valley based startup that has more than doubled in size every year since inception. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with the top retailers in the world. We are looking for smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world! 

What we are looking for

The Senior Analytics Engineer will be responsible for helping implement our analytics roadmap. Your expert SQL knowledge will be essential in creating efficient, repeatable, and easy to maintain queries and dashboards. You will be lead developer of the transformation layer on top of the data warehouse using DBT technologies, which will drive simpler data models, and better BI tool performance. We generate millions of data points every minute that we utilize to help our clients optimize their store operations. This is an opportunity to create a best in class data analytics solution. Reporting to the Head of Analytics you will work closely with other Business Analysts to create efficient dashboards and query results.

What you will do

• Lead developer in data transformation (DBT), semantic layer,  and data presentation (BI layer modeling)
• Write efficient SQL queries that help answer critical business reporting questions
• Identify data, metrics and analysis needs; including improvements in data models that power dashboards and data products
• Implement best practices in data warehouse storage (partitions, clustering, query optimizations)
• Operational ownership of analytics data pipelines and data integrity monitoring
• Work to drive new data initiatives, automation of reports, and establish best practices 
• Maximize efficiency and productivity through automation and process improvements

What you need to be successful

• BS and MS degree, preferably in Engineering, Math, CS or related with 5+ years work experience
• 3+ years experience in Google BigQuery, or Snowflake
• 2+ years experience in transform layer in DBT
• Expert knowledge of SQL
• Good knowledge of Python
• Dashboard and analysis building in BI tools
• Proven ability to manage complex data analysis

• Excellent communication, presentation and demonstration skills
• Recent startup experience preferred; uphold our values & mission; team player
• Able to work in San Francisco office 2x per week

Why Focal Systems

Strong values and mission: We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.
Exceptional Team: We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.
Outstanding Partners: We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors.

What we offer

We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:

• Competitive Salary & Attractive Stock
• Health Insurance
• Catered lunches
• Paid Time Off 
• Quarterly Team Retreats
• Education grants

Note: Our pay bands are driven by market benchmarks in the target geography for hiring. Our posted ranges typically include multiple job levels. A candidate's level is determined by their performance throughout our talent acquisition process including technical screens, behavior interviews, presentations, work samples, and references. We will communicate transparently with the candidate at final stages regarding how we have leveled them, and what salary range that places them into. Placement within range is equally determined by education, general experience in your profession, specific experience in our domain, and your performance in the talent acquisition process.