Senior Analyst, Analytics Engineering

3M HEALTHCARE

San Francisco, New York, Salt Lake City, Chicago (CA, NY, UT, IL)

On-site

USD 120,000 - 145,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, and vision plans
Wellbeing Fund
Mental Health benefits
401(k)
Education stipend
Flexible vacation
Paid parental leave
Company recharge days
Work from home stipend

Job summary

Gong is seeking a Senior Analyst, Analytics engineering to empower our analytics community by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll partner with Data Ops to develop a semantic layer and AI-driven self-service analytics, designing data models in Snowflake with dbt, and ensuring data quality through a testing/alerting framework. Based near SF/NYC/Chicago/Salt Lake City, you’ll contribute to scalable data pipelines and governance.

Qualifications

  • 4+ years of experience in data engineering, analytics, or data science.
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field.
  • Advanced SQL knowledge (dbt is a plus).
  • Moderate Python knowledge (JavaScript a plus).
  • Experience building complex data pipelines using Airflow or Prefect.

Responsibilities

  • Develop and maintain data models in Snowflake with dbt.
  • Design and build a testing and alerting framework to improve data quality.
  • Create data governance/democratization policies to support the broader analyst community.
  • Design and build a self-service analytics AI framework, including semantic modeling and tooling.
  • Partner with Data Engineering to optimize data staging in Snowflake.

Skills

SQL
Python
JavaScript
dbt
Data modeling
Airflow
Prefect

Education

Bachelor's degree in Computer Science, Information Systems, Statistics

Tools

Snowflake
dbt
Airflow
Prefect

Job description

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.

You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.

We’re seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.

RESPONSIBILITIES
  • Develop and maintain data models in Snowflake with dbt
  • Design and build a testing and alerting framework to improve data quality
  • Create data governance/democratization policies to support the broader analyst community
  • Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture

Partner with Data Engineering to optimize data staging in Snowflake

QUALIFICATIONS
  • 4+ years of experience in data engineering, analytics, or data science
  • A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
  • Advanced SQL knowledge (experience with dbt is a plus)
  • Moderate Python knowledge (JavaScript knowledge is a plus)
  • Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect

Strong organizational discipline and quality assurance skills

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 $120,000 - $145,000 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.

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.

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