Business Intelligence Analytics Engineer

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May 15

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DataRobot

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Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• DataRobot delivers AI that maximizes impact and minimizes business risk. • Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. • DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. • Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. • You will be responsible for: • Work with business leaders to implement best practices for measuring business processes, define critical KPIs and metrics, manage performance, and create operational rigor. • Drive the framework to measure marketing, demand gen, customer success, and financial processes using industry-standard metrics, e.g., bookings/ARR, financial forecast, Plan vs. actuals, conduct rigorous exploratory data analysis, and create executive-facing dashboards that drive decision-making and actions. • Communicate insights through reports, dashboards, and advanced analytics, and build narratives and strategic recommendations to support key decision-making. • Create a playbook to drive quarter-end close activities, monthly/quarterly financial forecasting Influence process teams to address process gaps that result in data issues and drive process improvements. • Work with data engineering/data science team to establish data sources that serve teams' business needs, identifying and advocating for process improvements and industry best practices (e.g., standard metric definitions)

🎯 Requirements

• 4-6 years of experience • Understanding of GTM and post-sales business process at a SaaS business. • Experience building SaaS metrics such as Renewals, Churn, Customer Health Scores, Retention Rates, and ARR is required. • Experience with data modeling and data transformation tools like DBT. • Strong understanding of B2B SaaS metrics and business processes. • Fluent in advanced analytical SQL, Excel, and visualization tools such as Tableau, Looker, or Qlikview; experience with a statistical programming language like R or Python preferred • Prior work experience in a business analytics space would be highly valued. (A good understanding of A/B testing principles is preferred) • Analytical and problem-solving experience, exposure to large-scale data warehouses • Deep understanding of complex data models, BI methodologies, Data Architecture principles, Master data and metadata • Understanding of operational processes, systems, and data in multiple areas of Sales and operations, such as forecasting, Pipeline management, Account management, Sales performance, etc. • Entrepreneurial self-starter. • Thrive in a fast-paced environment and independently capable of seeking information, corralling resources, and delivering results without waiting for direction. • Thrive on combining rigorous data-driven analysis, strong business and product judgment, and an ability to work well across teams. • Comfortable handling sometimes ambiguously defined problems, developing creative solutions, and delivering against aggressive timelines • Consistent track record of initiating and leading cross-functional and cross-organizational projects, building relationships with partners, and influencing decision-makers. • Strong verbal and written communication skills. • A data-driven mindset with a degree in any quantitative discipline, such as Engineering, Computer Science, Economics, Statistics, or Mathematics

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP)