Senior Business Intelligence Analyst, Snowflake
Product Workload Finance
$121-163.8k
+ Bonus + Equity
3+ days a week in office (San Mateo, CA)
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
$121-163.8k
+ Bonus + Equity
3+ days a week in office (San Mateo, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 5+ years of experience in data science, BI analysis, or analytics engineering
- Past experience supporting product or product finance stakeholders
- Advanced SQL skills, with experience using SQL to perform analysis, standardize queries, and build large-scale relational datasets
- Experience developing, deploying, and maintaining enterprise level reports using BI tools such as Streamlit, Tableau, Power BI, Looker, or other relevant technologies
- Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
- Ability to communicate in an effective and efficient manner with a wide range of technical and non-technical stakeholders, including senior leaders
- Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
- Ability to think creatively to solve problems
- An impulse for introducing structure and simplicity into vague, complex problems
- An obsession for detail and quality
- An ability to identify weaknesses in data and process, and a willingness to drive improvement
- A bias for action
Desirable
- Experience with ERP and Financial Planning tools
- Experience using Python to parse, structure, and transform data
- Experience leading or working within a scrum, sprint, or other agile framework
- Familiarity with cloud cost management and understanding of cost structures in cloud environments
- Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)
What the job involves
- We’re looking for a Senior Business Intelligence Analyst, Product Workload Finance to join our growing Finance BI team. In this role, you will support the Product Workload Finance team with the data, analysis, and reporting needed to derive valuable insights around the financial performance of Snowflake’s product workloads
- Work with a wide range of finance, engineering, and product stakeholders to identify use cases and gather requirements for analysis, reporting, and automation
- Research data from key business systems, work with IT to ingest data into Snowflake, assess data quality, map requirements to available data, architect data models and data pipelines, and design end-to-end business intelligence solutions to support our workload finance team
- Analyze data to shed light on key business questions and present on findings
- Build data apps to enable ongoing delivery of information and insights to finance, product, and engineering stakeholders
- Formulate project plans, provide status updates, and work with finance team members to perform user testing and QA
- Build and maintain user friendly documentation for data models, metrics, and reporting
- Think creatively to find optimal solutions to our complex, often unstructured problems
- Identify weaknesses in processes, data, and systems, and drive improvements
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Bozeman, MT
Leadership
Benoit Dageville
(Co-Founder)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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