Data Analytics Manager

🕒 August 26

🌐 United States, Canada – Remote

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🏄 California, Colorado, +3 more states – Remote

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💵 $150k - $240k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 44%

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Ashby

51 - 200 employees

💼 Consulting

🤝 B2B

👥 HR Tech

Consulting • B2B • HR Tech

Ashby is a software development company that specializes in providing hiring solutions for high-growth companies. Their platform enables teams of all sizes to manage an efficient and effective hiring process, helping organizations achieve their ambitious growth targets. Notable clients include Opendoor, Figma, Notion, Deel, and Modern Treasury.

📋 Description

• Manage Ashby’s three Data Analysts • Help identify, assess, and hire future analyst team members • Develop and improve data-team practices for prioritization, review, knowledge sharing, quality, and collaboration • Lead the transition from broad shared context toward meaningful specialization • Help the Data team evaluate and adopt relevant AI tools, workflows, and partnerships • Improve the standardized request intake, triage, prioritization, capacity assessment, and project planning process • Provide hands-on analytical work as a player-coach • Guide the quality and rigor of analyses • Work across raw and modeled data, dbt models, metric definitions, deep analysis, dashboards, and internal data products • Collaborate directly with partners throughout the company • Help scale the Data function as Ashby grows across products, regions, systems, and business functions

🎯 Requirements

• Exceptional analytical judgment • Ability to produce and evaluate transparent, rigorous analysis • Strong visual and written communication skills • Deep hands-on SQL experience • Working fluency with dbt-style data modeling, cloud data warehouses, and BI tools • Experience leading, managing, or functionally acting as a manager for data practitioners in a high-growth company • Demonstrated judgment, coaching, hiring, and team-leadership abilities • Product-manager-like instinct for identifying core needs and translating ambiguous questions into useful work • Pragmatic and intellectually flexible approach to data and decision-making • Intimate familiarity with the B2B SaaS industry, workflows, and organizational structures • Experience in a growth-stage, product-oriented technology company • Comfort working hands-on with analytical work • Fluency with SQL in a modern data warehouse is essential • Ability to work across the analytical data stack, from modeling through analysis and dashboards

🏖️ Benefits

• Equity • 10-year exercise window for stock options • Unlimited PTO • Minimum 12 weeks of fully paid parental leave • Generous equipment, software, and office furniture budget • $100/month education budget • Conferences covered with manager approval • US top-tier health insurance for employees and dependents, with 100% of premiums covered • High-quality supplemental health insurance outside the US for employees and dependents, fully covered

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