- 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
- 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
- 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)
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Senior Business Intelligence Analyst, Product Workload Finance - San Mateo, United States - Snowflake Computing
Description
Build the future of data. Join the Snowflake team.
This role requires in-person attendance in our San Mateo, CA office at least 3 days per week.
JOB DESCRIPTION :
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. In this role, you will:
Required skills: