Sr. Advanced Analytics Manager

Posted 21 Days Ago
Be an Early Applicant
6 Locations
131K-192K Annually
5-7 Years Experience
Artificial Intelligence • Software
The #1 platform for remote sales teams.
The Role
Seeking a talented Data Scientist to maximize the value of conversational data and develop advanced analytics models for sales strategies at Gong. Responsibilities include working with unstructured data, developing predictive capabilities, and supporting GTM teams with insights. Qualifications include 6 years of relevant data science experience, proficiency in SQL and Python, and a Bachelor's degree in Data Science or related field.
Summary Generated by Built In

Gong transforms revenue organizations by harnessing customer interactions to increase business efficiency, improve decision-making and accelerate revenue growth. The Revenue Intelligence Platform uses proprietary artificial intelligence technology to enable teams to capture, understand and act on all customer interactions in a single, integrated platform. More than 4,000 companies around the world rely on Gong to support their go-to-market strategies and grow revenue efficiently. For more information, visit www.gong.io.

We are seeking a talented and experienced Sr. Advanced Analytics Manager to join our innovative Gong on Gong team. You will be responsible for maximizing the value of Gong's unique conversational dataset and developing advanced analytics models that drive actionable insights for our sales strategies. This role requires a skilled data expert with a proven track record in extracting insights from unstructured data, particularly in a B2B sales context. You'll combine your technical expertise with business acumen to transform complex data into clear, actionable recommendations. As a key player, you'll not only analyze data but also help author thought leadership pieces showcasing Gong's value proposition in the B2B technology sector.

RESPONSIBILITIES

  • Maximize the usefulness of Gong data by applying data science expertise to our unique and rich GTM conversation dataset
  • Work with unstructured data to drive insights, innovate ways to extract insights from conversational data, and develop predictive capabilities
  • Combine conversational data with other relevant GTM data points from various tools to support our GTM teams
  • Develop and implement advanced analytics models and machine learning algorithms to uncover patterns and trends in sales conversations

QUALIFICATIONS 

  • A minimum of 6 years of relevant work experience in data science within a Sales and / or GTM context
  • Strong experience with data science, statistical analysis, data mining, and predictive algorithms
  • Proficiency in SQL and experience with BI tools (e.g., Tableau) and programming languages (e.g., Python)
  • Proven experience in extracting insights from data from pre-and post-sales sales and customer success
  • Excellent communication skills, able to translate complex data insights into actionable recommendations
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field

YOU HAVE

  • Experience working with conversational data (e.g., call transcripts, chat logs)
  • Experience working with Snowflake data warehouse
  • Expertise in software B2B business models, with specific functional expertise in Sales systems
  • Experience working with large-scale unstructured data, particularly conversational data
  • Knowledge of natural language processing (NLP) techniques
  • Experience in building and deploying machine learning models in a production environment

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 OTE for this position is $130,900 - $192,000 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.

Top Skills

Python
SQL
The Company
San Francisco, CA
350 Employees
On-site Workplace
Year Founded: 2015

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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