About the opportunity

The Sales Operations Analyst will be responsible for driving revenue growth of the sales team, through the responsibility of data management, sales reporting, and support on data-driven initiatives within our sales organization. This person will work cross functionally in order to ensure accurate data and utilize reports to measure performance and set goals for the sales team. This role is a great opportunity for someone who enjoys taking the initiative to look at data in a different way and working with a growing team to create consistency and efficiency within a sales process at a hyperscaling company!

The Sales Operations Analyst will report directly to the Senior Manager, Revenue Operations at Ontra, and location is flexible*. 

What you’ll do

• Data management: Continuously work with the greater sales team to ensure all data is accurate and up to date for reporting and analysis purposes
• Ad-hoc requests: Handle one-off requests on different sales metrics and general data within our CRM
• Data driven initiatives: Proactively analyze different datasets with the goal of finding ways to improve our sales process and shorten our sales cycle
• Goal-setting: Review sales activity and create/measure goals across different sales team segments
• Automate processes: Find areas within our sales process that can be automated in order to free up selling time and reduce data entry responsibilities
• Reporting: Measure KPIs on a monthly basis with respect to month over month growth or decline, including visualizations
• Forecasting: Use historical data to forecast accurate sales performance 

What you’ll bring

• Salesforce: Strong understanding of Salesforce (Lightning), i.e., process builder, flows, custom reporting, and dashboard creation (Apex a major plus)
• Technical expertise: Advanced proficiency in Excel/Google sheets; experience working with unstructured data and translating them into  workable models
• Experience: 2-3 years of sales operations/strategy experience, preferably in a high growth SaaS company
• Analytical and problem solving skills: Capable of diving deep into datasets and drawing actionable insights from them
• Detail-oriented: Attention to detail while monitoring and maintaining the integrity of our data. Data capture is only as good as the accuracy in which it is represented!
• Communication: Able to coherently express findings and why they are important to the business
• Proactive mentality: Take the initiative to examine data in different ways and test different data-driven strategies based on quality hypotheses and intellectual curiosity
• Collaborative: Ability to work cross functionally and gather qualitative data that helps support strategic decisions