Sr. Revenue Analyst

BambooHRUT
108d

About The Position

As a Revenue Analyst, you will sit in the Revenue Operations organization to deliver a key value to BambooHR by ensuring that our decision-making is centered around the performance of our go-to-market engine. Your work will drive growth and profitability through the insights that influence our strategy. You’ll be involved in many of the critical decisions to capitalize on our market investment and return the highest yields. You will essentially be the brains behind the decisions we make for our revenue motion.

Requirements

  • 5+ years of experience in prior strategic analytical roles, with at least a few years heavily focused on sales analytics
  • Ability to create SQL queries to retrieve and manipulate data
  • Professional experience with Python and associated libraries
  • Expertise in Tableau for data visualizations and analytics
  • Strong Excel skills for building analytical models
  • Understanding of how to extract data from Salesforce.com for reporting
  • Confidence and empathy in cross-functional partnerships with senior leadership
  • Adept at influencing and collaborating with cross-functional teams
  • Strong understanding of general business operations and ability to model them
  • Strategic thinking with the ability to connect to the big picture
  • Ability to tell compelling stories based on data insights
  • Skilled in breaking down complex projects into actionable steps

Nice To Haves

  • Analyst experience in the SaaS industry
  • SQL/data warehouse experience
  • Experience with Tableau, Salesforce, Snowflake
  • Exposure to systems like Marketo, LeanData, SalesLoft/Outreach, CaptivateIQ, Adaptive, Netsuite
  • Ability to create structure in fast-paced environments
  • Thrives working independently and proactively driving strategic work
  • Degree in Finance, Business Analytics, Business Intelligence/BI, Data Science, or a related field

Responsibilities

  • Partner closely with the Sales Leadership Team, providing in-depth analysis and actionable insights to improve processes and drive bottom-line results
  • Partner cross-functionally with our data engineering, FP&A, and Product teams on sales analytics
  • Build operational forecasts and run strategic funnel analysis - highlighting the sales and marketing funnel to determine opportunities to improve efficiency and effectiveness
  • Analyze the KPIs and unit economics of our sales model to identify risks/opportunities to focus on for improvement
  • Analyze trends and variances across sales segments, product categories, pipelines, etc.
  • Leverage data to tell a story and present it through data visualizations in compelling dashboards and reports
  • Build and own the data sets that sales leaders and teams use to actively manage their businesses
  • Meet with stakeholders to scope future projects and manage expectations on timelines
  • Function as an integration point between data and financial teams to help set expectations on capabilities, projects, and initiatives
  • Assist in preparing recurring reports, such as Monthly Business Reviews, forecast meetings, leadership summaries, etc.
  • Function as the expert on data for the revenue organization, including data architecture for systems of record and data consumption systems
  • Operate as the 'source of truth' for data and insights

Benefits

  • 4 weeks paid time off
  • 11 paid holidays
  • Health benefits including medical with HSA and FSA options, dental, and vision
  • 401(k) with a generous company match
  • Access to a personal financial planner
  • Legal and life insurance
  • Financial Peace University subscription
  • Paid time to give back to the community
  • Educational benefits for higher education expenses
  • Flexible work models: in-office, work-from-home, or hybrid

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Bachelor's degree

Number of Employees

1,001-5,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service