
1001 - 5000 employees
🤖 Artificial Intelligence
🤝 B2B
Analytics • Artificial Intelligence • B2B
Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.
🕒 May 4
🇺🇸 United States – Remote
💵 $118.7k - $153.9k / year
⏰ Full Time
🟠 Senior
🧐 Business Analyst
🦅 H1B Visa Sponsor
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1001 - 5000 employees
🤖 Artificial Intelligence
🤝 B2B
Analytics • Artificial Intelligence • B2B
Alteryx is a leading provider of enterprise analytics solutions that empower organizations to unlock valuable insights from their data. With its AI-driven analytics platform, Alteryx automates the processes of data preparation, analysis, and reporting, making analytics accessible to users at all skill levels. The platform offers features such as data enrichment, predictive modeling, and location intelligence, enabling businesses to improve operational efficiency and drive informed decision-making across various sectors, including financial services, retail, healthcare, and manufacturing.
• Measure and improve how our engineering organization builds and operates software • Analyze engineering metrics like Development & productivity, Reliability & operations, Engineering quality, and Engineering cost efficiency • Create data products used daily by engineering leaders, including dashboards and operational insights • Write advanced SQL queries to analyze engineering data and build lightweight Python pipelines • Ensure that engineering metrics are accurate, consistent, and trusted across the organization • Identify bottlenecks in the development process and detect reliability risks early • Collaborate across engineering teams including engineering managers, platform and infrastructure teams, DevOps/SRE, and FinOps to define consistent engineering KPIs
• Strong SQL skills • Experience using Python for data analysis or pipelines • Experience building dashboards in Superset, Tableau, Looker, or similar BI tools • Experience working with complex operational datasets • Familiarity with data modeling and metric definitions • Comfortable working with engineering concepts such as Pull Requests (PRs), CI/CD pipelines, Software Development Lifecycle (SDLC), Service Level Objectives (SLOs), and Incident management • Strong analytical thinking • Ability to translate ambiguous questions into measurable metrics • Ability to communicate insights clearly to technical and leadership audiences • Strong attention to data quality and metric consistency
• Health insurance • 401(k) with company match • Paid parental leave, caregiver leave, and flexible time off • Mental health support and wellness reimbursement • Career development and education assistance • Monthly Connectivity Plus stipend of $150 to support remote work-related expenses • Annual $200 home office reimbursement
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