Staff Data Analyst

fanaticsfbg; United States; Remote; USD 160,000 - 200,000; Full time

Job summary

fanaticsfbg is seeking an experienced analytics professional to own the data foundation for customer operations, shaping warehouse architecture, reusable models, reporting standards, and trusted data for human and AI workflows.

You will design cloud warehouse governance, build dbt models, set standards, lead analyses, present to senior leaders, and prepare data for AI agents, aligning with operational goals.

Qualifications

• At least five years of experience in analytics, analytics engineering, BI, or strategic operations.
• Advanced, hands-on SQL and strong dbt skills, including designing model layers, tests, and data structures.
• Experience owning data architecture in a cloud warehouse, preferably Snowflake, with responsibility for governance and quality.
• Background partnering with data or analytics engineering teams to produce reliable, production-ready models.
• Ability to lead complex projects, build dashboards in a tool such as Sigma or Tableau, and present defensible recommendations to senior stakeholders.

Responsibilities

• Design and govern the operations data environment in a cloud warehouse, including schemas, access patterns, documentation, and quality standards.
• Turn raw data from multiple business areas into tested, reusable dbt models; consolidate duplicate datasets and automate recurring analysis.
• Set standards for SQL, modeling, code review, dashboards, and data tests, and help other analysts improve their work.
• Lead ambiguous, cross-functional analyses from problem definition through root-cause investigation and decision-ready recommendations.
• Present findings and architecture choices to senior leaders, explaining assumptions, risks, and practical implications.
• Prepare trusted data for AI agents, assess where automation is appropriate, and monitor agent outcomes against operational goals.

Skills

Advanced SQL

dbt skills

Dashboard development

Data modeling

Presentation to senior stakeholders

Education

Degree in analytics or related field

Tools

Snowflake

Sigma

Tableau

dbt

Job description

Role overview

Own the data foundation that helps customer operations teams understand performance and make decisions. This hands-on staff analytics role shapes warehouse architecture, reusable models, reporting standards, and trusted data for both human teams and AI-enabled workflows, while influencing cross-functional partners without managing them.

Responsibilities

• Design and govern the operations data environment in a cloud warehouse, including schemas, access patterns, documentation, and quality standards.
• Turn raw data from multiple business areas into tested, reusable dbt models; consolidate duplicate datasets and automate recurring analysis.
• Set standards for SQL, modeling, code review, dashboards, and data tests, and help other analysts improve their work.
• Lead ambiguous, cross-functional analyses from problem definition through root-cause investigation and decision-ready recommendations.
• Present findings and architecture choices to senior leaders, explaining assumptions, risks, and practical implications.
• Prepare trusted data for AI agents, assess where automation is appropriate, and monitor agent outcomes against operational goals.

Requirements

• At least five years of experience in analytics, analytics engineering, business intelligence, or strategic operations.
• Advanced, hands-on SQL and strong dbt skills, including designing model layers, tests, and data structures.
• Experience owning data architecture in a cloud warehouse, preferably Snowflake, with responsibility for governance and quality.
• Background partnering with data or analytics engineering teams to produce reliable, production-ready models.
• Ability to lead complex projects, build dashboards in a tool such as Sigma or Tableau, and present defensible recommendations to senior stakeholders.
• Strong attention to detail and comfort working through ambiguity and shifting priorities.

Nice to have

• Experience with AI/ML workflows, agent development, or automation; Python or a similar scripting language.
• Familiarity with customer support, fraud, payments, or workforce operations metrics, or work in a high-volume operational environment.
• A degree in analytics, computer science, statistics, economics, or a related field.

Benefits and work setup

• The listing gives a base salary range of $160,000-$200,000 USD; the applicable range varies by location.