Senior Analytics Engineer, Focal
$125-170k
+ Stock options
2 days a week in office
Retail automation & optimization
Open for applications
Retail automation & optimization
21-100 employees
Open for applications
$125-170k
+ Stock options
2 days a week in office
21-100 employees
Company mission
To lower the cost of living for all mankind by automating and optimizing brick and mortar retail with the latest advancements in AI.
Role
Who you are
- 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 with 2+ years of experience
- Working knowledge of building a semantic layer in DBT, Cube, etc
- 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
What the job involves
- The Senior Analytics Engineer will be responsible for helping implement our analytics roadmap
- They will play a critical role in developing the data modeling and transform layer in DBT on top of the Focal Systems data warehouse
- Reporting to the Head of Analytics you will work closely with other Business Analysts to create efficient dashboards and query results
- Lead developer in data transformation (DBT), semantic layer (DBT, Cube), and data presentation (BI layer modeling)
- Identify data, metrics and analysis needs; Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship
- Write efficient SQL queries that help answer critical business reporting questions
- Implement best practices in data warehouse storage (partitions, clustering, query optimizations)
- Operational ownership of 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 best practices
Our take
Even in the largest retailers, inventory systems are usually manual, with staff checking inventory to get an idea of stock numbers, spoilage and other metrics. These are slow and introduce a high degree of human error, as well as being difficult to carry out around shoppers.
Focal Systems leverages a network low cost, ruggedized cameras and computer vision to scan a store's shelves automatically, alerting the backroom of the need to restock an area of the store in real time. In a time when retailers are facing staff shortages and supply chain issues, this kind of automation is in high demand, as is evidenced by Focal System's customer base which includes the likes of Walmart, ShopRite and Piggly Wiggly.
Having raised an impressive amount of funding, Focal Systems is doubling down on R&D and expanding its global sales and engineering teams. As more brick and mortar retailers begin to adopt automated solutions, Focal Systems is a strong position to continue its growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 6 rounds)
Dec 2021
$25.8m
SERIES B
Dec 2019
$4.8m
EARLY VC
Total funding: $41.9m
Company benefits
- Health Insurance
- Catered lunches
- Paid Time Off
- Quarterly Team Retreats
- Education grants
- Meaningful equity-grants in a very fast growing startup that is aiming for an IPO
Company values
- Be the best technology partner you work with
- We are a deep learning first company
- Only when you test your limits do you realize you have none
- The hardest working, most dedicated team will win
- Own your work
- Row as one
- Focus and solve one problem at a time
- Hypothesize, experiment, measure, repeat
- Crave change, embrace discomfort
- Burn the boats
- Love life, love the world
Company HQ
Ingold - Milldale, Burlingame, CA
Articles
Leadership
Francois Chaubard
(CEO)Was a part of Lockheed Martin's Engineering Leadership Development Program. Then worked as a Deep Learning Researcher at Bay Sensors and Apple.
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