Staff Data Analyst, Product Analytics

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

As ServiceNow continues its unprecedented growth, the company seeks to further establish its data and advanced analytics foundation and capabilities. We are building a mathematical enterprise for ServiceNow, leveraging all the data signals across the enterprise to guide business decisions. The Staff Insights Analyst  will be a part of our Product Analytics team, and a key technical contributor to the insights we provide to the product stakeholders. This role will be engaged in the technical model development, production model deployment, and insight creation of our product space.

This role is a hybrid of traditional roles in data science, strategy, business/customer analysis, research, engineering and data visualization – requiring a mix of strategic thinking, analytics and data management, and business operations skills. This position will be reporting to the Senior Director, Product Analytics.

What you get to do in this role:   

• Proactively uncover trends and anomalies, understand relationships and develop actionable insights from analysis that will drive business decisions and actions.
• Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and recommendations.
• Create/ apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics.
• Partner with key business leaders. Prepare analysis and recommendations for strategic and operational decision-making.
• Collaborate with other analytics and biz ops teams to develop scalable insights packages and stories
• Gather business intelligence data, analyze data, and develop interactive data visualizations that enable business insights; work with business stakeholders to tease out the best stories to tell from a given dataset
• Build scalable analytical framework to monitor data quality and other key use cases supporting analytics organization (Sales Analytics, Finance Analytics, Marketing Analytics, Product, and Talent Analytics)
• Develop quantitative models to help predict outcomes and assess causation and correlation (causal modeling experience is a plus)
• Develop quick utility dashboards and reports to help accelerate and scale insights delivery

Qualifications

• BA/BS in Mathematics, Statistics, Computer Science, Economics, Business, or analytical field
• Proficiency in PPT, Excel (Candidate may need to respond to time sensitive requests that involve doing deep data analysis using excel)
• 8+ years of SQL experience and delivering data driven insights complex data processes
• Hands on experience working with Snowflake, Python
• Deep experience in data visualization and reporting using open-source libraries/packages and third-party tools (Tableau, PowerBI or similar)
• Statistical background – hands on model development using regression, decision trees, ARIMA, etc. (Required)
• Experience with machine learning especially in data products

For positions in California (outside of the Bay Area), we offer a base pay of ($123,750-$