Remote Lead Data Analyst - Remote

Description:

• As a Lead Data Analyst at Facet, you will lead efforts to equip Facet operations and product teams with the insights they need to maximize performance.
• You will join the Data Science & Analytics team tasked with modeling, understanding, and automating various aspects of growth, margin, and retention initiatives.
• You will work with teammates and stakeholders to display the truth of the past while predicting the unknown.
• The role requires comfort with communication, analysis, information design, managing competing priorities, and writing quality code.
• You will work with data across all domains of the business and support leaders from all departments.
• The ideal candidate enjoys working on a wide range of questions, has exemplary interpersonal skills, and is creative in solving ad hoc problems.
• Day-to-day responsibilities include creating visibility of Facet operations and product performance, driving improvement in Facet’s business, being a trusted strategic partner, performing data engineering, and ensuring quality in code.

Requirements:

• You must have 6+ years of experience in a business intelligence, analytics, or decision scientist role, with at least 3 years of experience working directly with consumer data on marketing, sales, delivery of service, and retention problems.
• Experience with BigQuery, Snowflake, or similar data warehouse solutions is required.
• Proficiency with SQL, dbt, Google Sheets, and version control is necessary.
• You should have a proven ability to work both independently and as part of a team.
• Experience collaborating with Analytics Engineers to create modular, highly optimized data models is essential.
• You must have experience collaborating with Data Scientists and Machine Learning Engineers to solve complex predictive problems.
• An expert at building rapport and trust with business leaders and cross-functional teammates is required.
• Proficiency in investigating and documenting business processes and user flows is necessary.
• A strong understanding of core consumer tech businesses and relevant metrics is required, including LTV, retention, CAC, RAC, ARR, ARPC, margin, NPS, CSAT, and behavioral metrics.
• Experience working with data from Salesforce CRM and behavioral data from tools like Google Analytics, Segment, and Iterable is necessary.
• Familiarity with best practices in secure data handling and customer data privacy is required.
• Preferred qualifications include prior experience in the financial planning and consumer technology industries, proficiency with Python and Airflow, and experience building reports in scriptable BI tools like Streamlit or Dash.

Benefits:

• The position offers an annual salary ranging from $150,000 to $180,000, plus a bonus determined by the applicant's experience, knowledge, skills, and abilities.
• Employees receive equity as part of their compensation package.
• Flexible PTO is provided to support work-life balance.
• Comprehensive benefits include medical, dental, and vision insurance, a 401(k) with employer match, short and long-term disability coverage (paid by Facet), life insurance options, and paid parental leave.
• A certification reimbursement program is available to support professional development.
• The role allows for remote work from anywhere in the US.