We are looking to expand our Revenue Operations team by hiring a Staff RevOps Analyst. Your role is to accelerate the business by delivering data-driven insights, architecting our data-collection methodologies and systems, and advising functional teams to ensure the success of our revenue generation initiatives. This individual will build a data foundation upon which Gladly will scale. Key activities include revenue forecasting & modeling, identifying top ROI initiatives, and developing & tracking top-level KPIs for the business. Success in this role means that you will accelerate revenue-growth and retention, increase predictability on our key business metrics, and accelerate our ability to identify strategic objectives.

The ideal candidate knows that:

• Data is meaningless unless it’s delivered as actionable insight.
• Data is best understood when visualized.
• Partnering with functional operations teams is key to both collecting and improving the collection of data.
• Growth stage companies are full of opportunities and challenges. Being able to identify which is which is critical.
• Perfect can be the enemy of good.

What You'll Do:

• Assume ownership over our revenue forecasting and modeling. This includes working with finance and executive leadership to perform pipeline & opportunity forecasting, sales velocity calculations, and fiscal quarter/year goal setting to ensure alignment with company financial goals.
• Identify the key motions (channels, programs, campaigns, etc.) that generate the most ROI. Work with RevOps and functional teams to scale these motions.
• Plan for and build towards for the future state of Gladly’s data. Know what scaled data architecture looks like and create a roadmap towards that.
• Leverage advanced data analysis tools and techniques to provide actionable insights to support strategic decision-making.
• Create and maintain advanced dashboards and reports to monitor critical revenue metrics and KPIs.
• Collaborate closely with marketing, sales, customer success, and finance teams to uncover key business questions and drive to deliver data-backed and actionable insights as answers.
• Configure or implement best-in-class data capture practices through automation or process improvements that leads to accurate and hygienic data collection. Emphasize scalability.
• Utilize and/or recommend data capture, manipulation, analysis, and visualization software. Know how this integrates with a RevOps tech stack.

Requirements:

• Extensive experience in revenue operations, marketing/sales/cs operations, or a related role, with at least 8+ years of experience (3+ a senior analytical position).
• Proficiency in data analysis tools and data visualization software.
• Strong knowledge of CRM and sales/marketing/cs automation platforms (e.g., Salesforce, Marketo).
• Familiarity with sales/marketing/cs tools (e.g. 6sense, Outreach, Gong, etc.)
• Exceptional project management and leadership skills.
• Excellent communication and interpersonal abilities.
• Proven ability to adapt and excel in a fast-paced, dynamic environment.

Research has shown that individuals from marginalized groups are less likely to apply to jobs where they don't meet 100% of the criteria. Gladly values diversity of experience, so if you believe you have the right skill set, we welcome you to apply - even if you don't check every box in the job description. We're committed to an inclusive workplace and would love to see if you could be the next great addition to our team.

Compensation:

$156,000 to $185,000 per annum OTE (base + variable); equity, and benefits

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.