Lead Analyst – Revenue Operations

Lead Analyst – Revenue Operations

Requirements

• Relevant degree preferred.
• 7 or more years of relevant analytical experience required, 3 years of supporting a high-caliber, professional sales team in a corporate environment desired.
• Strong analytical skills, usually demonstrated through a rigorous degree in Data Science, Statistics, Engineering, Finance, or Accounting.
• Power-user capabilities in Excel, SQL (Data Bricks), and PowerPoint.
• Demonstrated mastery of AI technology, such as ChatGPT, to support problem solving and coding.
• Proficiency with statistical modeling, machine learning, and NLP (Python, R, SQL).
• Experience with CRM (Salesforce), marketing automation (HubSpot), and non-traditional datasets (Definitive Healthcare, LinkedIn).
• Willingness to travel.

Responsibilities

• Build trusting relationships with senior sales executives, generating credibility through a track record of completing relevant analyses, on time, and without error.
• Solve problems independently, move at the pace of business, and balance multiple stakeholders.
• Deliver relevant insights through compelling presentations, formal memos, and emails.
• Engage fully in every discussion, balancing understanding and individual contribution.
• Identify data-driven sales strategies to increase revenue, focusing on cause-and-effect.
• Develop predictive models (e.g., machine learning) and execute hypothesis-driven analyses to validate business strategies.
• Analyze complex datasets in using advanced tools (e.g., pivot tables, regression, aggregation, etc.).
• Create high-impact data visualizations in Excel, R, or Python.
• Build data models and scripts to automate repetitive tasks where appropriate.

Preferred Qualifications

• 3 years of supporting a high-caliber, professional sales team in a corporate environment desired.
• Experience with data quality and performance improvement initiatives or projects desired.