Job 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.
About DataRobot
DataRobot delivers the industry-leading agentic AI applications and platform that maximize impact and minimize risk for your business. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services empowers any organization, regardless of size, industry, or resources, to drive better business outcomes with AI.
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)
Synthesizing large volumes of data with attention to granular details, building certified data sources, and addressing data quality issues and process gaps.
Support multiple projects at the same time in a fast-paced, results-oriented environment.
Drive automation of repetitive processes and build self-serve tools (eg: Tableau Dashboards) to empower product and business stakeholders.
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
The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
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