Data Analytics Manager

Reposted 4 Days Ago
Be an Early Applicant
5 Locations
Hybrid
Senior level
Artificial Intelligence • Software
The #1 platform for remote sales teams.
The Role
As a Data Analytics Manager, you'll manage reporting, deliver insights, optimize sales behavior through data science, and develop data tools for business effectiveness.
Summary Generated by Built In

Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit www.gong.io.

As a member of GTM Analytics and Data Science team, you’ll enable our Sales and RevOps teams with the data and insights they need to perform at their best. This includes managing our core reporting suite, compiling insights for quarterly business reviews, supporting forecasts, and measuring and reporting on performance against targets. 
In addition to running these operations in their current state, you’ll own the research necessary to make them more effective as the company grows. Gong provides a very unique, rich dataset that will allow us to go beyond standard Sales analytics with conversation transcripts, Smart Trackers, and embedded AI.

RESPONSIBILITIES

  • Work with stakeholders to create data solutions for business problems
  • Build and maintain data and insights to support the sales operating rhythm (scorecards, forecast reports, quarterly business reviews, etc.)
  • Use statistics and data science to optimize sales and management behavior (E.G., find milestones that new reps need to hit in their first six months in order to have long-term success)
  • Use standard data tools (Snowflake, DBT, Tableau, Python) to build data pipelines, visualizations, and production ML models
  • Communicate insights to business owners in concise, non-technical language
  • Build lightweight data applications using Python/Javascript (E.G. a discounting calculator that identifies similar deals and recommends a pricing strategy)

QUALIFICATIONS 

  • 6+ years of experience in a Data Science or Analytics role
  • Bachelors level in a quantitative field such as physical sciences, engineering, mathematics, or economics 
  • Technical Skill: Advanced SQL (Snowflake or Redshift preferred), Tableau, data wrangling in Python (data modeling in DBT is a plus)
  • Data Knowledge: Becoming an expert in our internal data. Knowing exactly what we have at our disposal in order to build effective data tools and run effective analyses.
  • Business Acumen: Understanding the SaaS business model, the Revenue Intelligence Market, and how we can apply our data to be successful as a Sales organization (Experience in SaaS is a plus)
  • Curiosity & Creativity: Being curious enough to learn about our stakeholders’ needs and creative enough to connect the dots
  • Ownership: Working toward impact, not just checking boxes, and occasionally going outside your usual responsibilities to make sure our work makes a difference (E.G. recording training videos, partnering with product to contribute to Gong’s functionality)
  • Team Player: In order to be successful, we partner with several Finance and GTM functions. We need to be easy to work with in order for our work to have tangible value.

PERKS & BENEFITS 

  • We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program to help you invest in your future.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.
  • Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $133,500 - $157,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

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Top Skills

Dbt
JavaScript
Python
Redshift
Snowflake
SQL
Tableau
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The Company
HQ: San Francisco, CA
1,100 Employees
Hybrid Workplace
Year Founded: 2023

What We Do

We created the Revenue Intelligence category to enable leading revenue teams to get the unfiltered truth about their customer interactions, their deals, and transform the way they go to market.

Why Work With Us

Each department strives to be the best at its craft, yet, we're here to win as a team as well! From our engineers working with the latest in machine learning, to our world-class sales and success teams, we’ve created an inclusive culture where everyone is set up for success.

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