Senior Data Analyst

11 Minutes ago • 7 Years + • $173,000 PA - $259,000 PA
Data Analysis

Job Description

Join our team as a Senior Data Analyst, collaborating with a high-performing Data Analysts and Data Engineers team 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 in managing Lambda's BI layer, building tested, verified, documented data pipelines, training users, and scaling Lambda during hyper-growth. The Data Platform team seeks candidates with demonstrable ICFR experience, providing financial or fundraising-supporting data with strong data governance processes. The role reports to the Data Platform Manager.
Good To Have:
  • Master’s degree preferred
Must Have:
  • Manage public KPI data integrity for marketing, publications, and investor communications
  • Support ICFR by verifying data flows and metrics with internal audit
  • Become a subject matter expert in data models and clean data at Lambda
  • Strong understanding of data modeling concepts like star schemas, snowflake schemas, Kimball modeling, data cubes
  • Become a subject matter expert and contributor to a best-in-class cloud data warehouse (BigQuery)
  • Lead and mentor junior team members in KPI development, data testing, stakeholder and project management
  • Develop and deliver training programs to empower users and enhance data literacy
  • Design and maintain analytics tools, dashboards, and reports for cross-functional teams
  • Guide users in appropriate tools for data use cases (Tableau, sheets, operational systems, SQL)
  • Continuously monitor and improve tool performance, scalability, and reliability
  • Stay abreast of industry trends and emerging technologies to recommend innovative solutions
  • Partner with stakeholders to understand requirements and deliver tailored solutions
  • Maintain comprehensive documentation of BI tools, processes, and best practices
  • Bachelor’s degree in Information Systems, Business Administration, Data Analytics, Finance or a related field
  • 7+ years of professional experience in BI and data analytics or analytics engineering
  • Demonstrated experience working with an IR, FP&A, or executive team on financial and operational business KPIs
  • Demonstrated experience working within ITGCs (IT General Controls) and ICFR (Internal Controls over Financial Reporting)
  • Advanced SQL skills
  • Advanced data visualization and data presentation skills
  • 2+ years of experience modeling in DBT and contributing to a Github repository
  • Exemplary soft skills: Excellent communication, problem-solving, and leadership abilities
  • Ability to work well in a small team environment and prioritize projects in an agile way and lead agile ceremonies
Perks:
  • Generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and Commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible Paid Time Off Plan

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Job

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 Data Platform team is specifically targeting candidates with demonstrable experience with ICFR; providing financial or fundraising-supporting data with strong data governance processes. The role will report to the Data Platform Manager.

What You’ll Do

  • 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.

You Must

  • 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

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