Senior Revenue Operations Analyst

At Enable, we are transforming the supply chain with our cutting-edge rebate management software. We see rebates as a strategic advantage, strengthening partnerships, driving smarter decisions, and unlocking significant value across the entire supply chain – from manufacturers to consumers.
After securing $276M in Series A-D funding, we are positioned for continued, significant growth. Since the launch of our flagship product in 2016, we have been rapidly scaling our client base, product offerings, and built a team of top-tier talent committed to reshaping the industry.
Want a glimpse into life at Enable? Visit our Life at Enable page to learn how you can be part of our journey.
About Enable Rebates, market development funds, special pricing agreements. These B2B trading agreements add up to trillions of dollars every year. We call this the deal economy and we’re rethinking how it operates. Rebate management has long been stuck in the dark ages: a frustrating mess of legacy systems, paper, and spreadsheets. We imagine a world where B2B rebate deals are liberated from the pain of time-consuming, inefficient tools and siloed processes and turned into effective and strategic tools that drive focus and collaboration between trading partners. So, we built just that, democratizing B2B deals and rebates, with cloud-based software that’s accessible, affordable and usable by every distributor, manufacturer and retailer. Job Summary We are seeking a highly skilled and experienced Senior Data Analyst to lead data cleanup, orchestration, and management across our systems, including Salesforce, business intelligence (BI) tools, and data warehouses. The ideal candidate will have a strong background in data analysis, exceptional problem-solving abilities, and a proven track record of managing complex data ecosystems.

Duties and Responsibilities

• Work with Sales Operations to identify and rectify data inconsistencies, duplicates, and errors across multiple platforms to ensure data integrity.
• Develop and implement data quality metrics and monitoring processes.
• Perform data cleaning and preprocessing to ensure data accuracy and consistency.
• Collaborate with go-to-market teams to understand data requirements and provide actionable insights
• Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems.
• Utilize statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Prepare and manage reports that effectively communicate trends, patterns, and predictions using relevant data.
• Work with management to prioritize business and information needs.
• Assist in the development of data management policies and procedures.

Knowledge, Skills, and Abilities (KSAs)

• Proficiency in data analysis tools and software, such as SQL, SAS, Python, or R.
• Experience with data visualization tools, such as Tableau or Power BI.
• Strong analytical and problem-solving skills.
• Experience with data modeling to support organizational decision making and annual sales planning cycle
• Excellent attention to detail and a commitment to data integrity.
• Ability to work collaboratively in a team environment.
• Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders.
• Understanding of data warehousing and ETL (Extract, Transform, Load) processes.
• Proficiency in Salesforce.com (certification a plus, but not a requirement); creating/updating reports and dashboards and third-party tools 
• Experience with additional CRM systems such as HubSpot or Microsoft Dynamics to manage customer relationships and sales data.
• Experience integrating data across multiple platforms.

Required Education and Experience

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science (preferred)
• 4+ years of experience with hands-on data analysis, preferably in a SaaS or technology-driven environment.
• 4+ years of experience enabling data-driven decision-makingwithin Revenue Operations with a Sales focus, going beyond report generation to deliver actionable insights.
• 2+ years of sales/revenue operations experience in SaaS/Software Enterprise
• Proven track record of delivering actionable business insights through data analysis.
• Develop, maintain & automate reporting processes