Data Analyst
Sensor Tower
PythonSQL
Senior Data Analyst
Lambda
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $173,000 - $259,000 per year
Job Level
Senior
Tech Stack
BigQueryCloudSQLTableau
About the role
- 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.
Requirements
- 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
Benefits
- 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 that we all actually use
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingdata warehousingDBTdata visualizationdata presentationKPI developmentanalytics toolsdata integritycloud data warehouse
Soft skills
communicationproblem-solvingleadershipmentoringcollaborationagile project managementuser trainingstakeholder managementinnovationdocumentation
