Senior Staff Business Data Analyst (AI)

Location: Mountain View, California or Frisco, Texas, United States

Base pay: $184,000–$249,000 per year in Mountain View

Company

hirify.global is a financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Design and build governed sales dashboards and reporting views covering pipeline, coverage, win rate, forecast attainment, and partner performance.
• Create reusable semantic and consumption models with defined grains, conformed dimensions, and consistent metric logic.
• Partner with Data Operations on account, opportunity, contact, activity, campaign, account team, and lead data architecture.
• Resolve identity, taxonomy, product-line, and product-family issues across CRM and sales systems.
• Define and defend canonical KPIs, including query logic, exclusions, edge cases, and data lineage.
• Analyze coverage models, buying-group completeness, funnel performance, territories, and direct and partner-led channels while mentoring analysts and setting technical standards.

Requirements

• 4+ years of experience in business intelligence, analytics engineering, or data analysis, including senior technical ownership of ambiguous cross-team problems.
• Expert SQL and strong analytical data modeling skills, including dimensional design, grain discipline, conformed dimensions, slowly changing dimensions, and denormalization judgment.
• Hands-on experience with Tableau, Power BI, Looker, or an equivalent BI platform, including semantic layers, performance tuning, and governance of published assets.
• Direct CRM data experience; Salesforce experience is strongly preferred.
• Experience building operational reporting with freshness monitoring, breakage handling, change communication, and deprecation practices.
• Ability to translate sales-leader questions into defensible metrics and challenge metrics that do not answer the underlying business question.

Nice to have

• Experience supporting sales, revenue, partner, or channel operations.
• Experience with Databricks, Snowflake, cloud data warehouses or datalakes, transformation frameworks, orchestration, and version-controlled analytics code.
• Python experience for analysis beyond SQL.
• Experience maintaining reporting continuity through major system migrations.
• Familiarity with conversation-intelligence, sales-engagement, and seller-created data.

Culture & Benefits

• Competitive compensation with pay-for-performance rewards.
• Potential eligibility for cash bonuses, equity rewards, and employee benefits according to applicable plans.
• Regular compensation comparisons across ethnicity and gender categories to support fair pay.