Analytics Engineer, Lambda
Finance
$173-259k
+ Equity
More information about location
4 days a week in office ( San Jose, CA)
Deep learning infrastructure company
Job no longer available
Deep learning infrastructure company
201-500 employees
Job no longer available
$173-259k
+ Equity
More information about location
4 days a week in office ( San Jose, CA)
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- The Data Platform team is specifically targeting candidates with demonstrable experience with ICFR; providing financial or fundraising-supporting data with strong data governance processes
- Have a Bachelor’s degree in Information Systems, Business Administration, Data Analytics, Finance or a related field, Master’s preferred
- Have 7+ years of professional experience in BI and data analytics or analytics engineering
- Have demonstrated experience working with an IR, FP&A, or executive team on financial and operational business KPIs
- Have demonstrated experience working within ITGCs (IT General Controls) and ICFR (Internal Controls over Financial Reporting)
- Have advanced SQL skills and ability to mentor junior team members
- Have advanced data visualization and data presentation skills
- Have 2+ years of experience modeling in DBT and contributing to a Github repository
- Have exemplary soft skills: Excellent communication, problem-solving, and leadership abilities
- Work well in a small team environment and can prioritize projects in an agile way and lead agile ceremonies
What the job involves
- Join our team as a Senior Data Analyst, where you will collaborate with a small, high-performing team of Data Analysts and Data Engineers to design data pipelines, a data warehouse, an automated data catalog and internal tools on a Data Platform team
- You will be a thought-leader on how Lambda manages its BI layer, building tested, verified, documented data pilelines, training users who are hungry to learn about data tools, and setting up Lambda to scale up during a hyper-growth period
- The role will report to the Data Platform Manager
- Manage public KPI data integrity: Ensure that Lambda has cleaned, approved KPIs in its marketing materials, publications, and investor communications
- Support ICFR: Work with internal audit team to verify data flows and metrics and ensure data integrity of key data points
- DBT / Data Catalog / Governance: Become a subject matter expert in data models and clean data at Lambda, supporting executive level data sets and cleanliness controls
- Data modeling: Have a strong understanding of concepts like star schemas, snowflake schemas, Kimball modeling, data cubes, and an ability to fluently discuss efficient data warehousing
- Data warehousing: Become a subject matter expert and contributor to a best-in-class cloud data warehouse (BigQuery)
- Leadership: Lead and mentor junior members of the team in KPI development, data testing, stakeholder management and project management skills. Be a spokesperson for the team in high profile stakeholder meetings
- User Training & Enablement: Develop and deliver training programs to empower users, fostering a self-service BI environment and enhancing data literacy across the organization
- Analytics Development: Design and maintain analytics tools, dashboards, and reports to support cross-functional teams in achieving their objectives
- Guide users in the appropriate tools for the appropriate data use case (Tableau, sheets, operational systems, SQL, etc)
- Performance Monitoring: Continuously monitor and improve tool performance, scalability, and reliability across the data stack
- Innovation: Stay abreast of industry trends and emerging technologies to recommend innovative solutions
- Collaboration: Partner with stakeholders to understand requirements and deliver tailored solutions
- Documentation: Maintain comprehensive documentation of BI tools, processes, and best practices
Our take
Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.
Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.
With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2025
$480m
SERIES D
Feb 2024
$320m
SERIES C
Total funding: $863m
Company benefits
- 100% remote team
- Healthcare, dental, vision, work-from-home Internet, and phone stipend.
- Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
- Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.
Company HQ
Dogpatch, San Francisco, CA
Leadership
Michael Balaban
(Co-Founder)Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.
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