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Bombora

Technical Lead Business Intelligence (Reno, NV or NYC)

Sorry, this job was removed at 02:16 p.m. (EST) on Wednesday, Sep 10, 2025
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Hybrid
New York, NY, USA

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Bombora, the leading global B2B intent data and solutions provider, is powered by the world’s largest publisher data co-op. Our data allows sales and marketing teams to understand which companies are in market for their products and services and empowers them to execute their strategies across the entire customer lifecycle from prospecting, sales enablement to marketing/advertising and customer retention. We process billions of interactions to confidently identify intent signals from companies around the world.

Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions. We invented the B2B intent data category and have been delivering high quality, accurate solutions ever since.

The Technical Lead of Business Intelligence leads the business intelligence team and uses data to help the technology team make informed decisions. The BI Lead closely collaborates with various departments and helps them make data-driven decisions. Using industry-standard BI tools, like Tableau, Looker, Data Studio, and any new solutions the lead feels will be helpful. The BI Lead drives the development of cutting-edge BI solutions for both internal and external clients.

You will…

  • Lead, mentor, and guide the BI team, setting the technical roadmap and championing development best practices.
  • Design, architect, and deliver robust business intelligence solutions and data models for internal and external stakeholders.
  • Collaborate with business partners to translate complex requirements into effective analytical tools and data visualizations.
  • Perform deep analysis on data distributions to draw insights, make recommendations, and drive data-informed strategies.
  • Identify and implement development opportunities and new technologies to improve and streamline operations.
  • Ensure the reliability and optimization of BI tools and data warehouse performance for key business cases.
  • Exhibit strong product ownership and act as a subject matter expert on data, analytics, and data governance.

You have…

  • Expertise in designing and building scalable ETL/ELT data pipelines and data warehouses (e.g., BigQuery, Snowflake).
  • Mastery of SQL for complex querying and data modeling (CTEs, Dimensional Models).
  • Proficiency in Python or R for data analysis (pandas, numpy).
  • Expertise with data visualization platforms (Looker, Tableau, etc.) and a strong understanding of data quality and presentation.
  • Excellent communication skills, with the ability to bridge the gap between technical and non-technical teams.
  • B.S. in a quantitative or technical field like Computer Science, Information Systems, Economics, Mathematics, or equivalent professional experience. 
  • Minimum 8 years of relevant work experience in data or business intelligence preferred.
  • Analytical reasoning 
  • Excellent written and verbal communication skills and the ability to effectively communicate with both technical and non-technical teams
  • Experience working with large structured and unstructured databases

Bonus points for:

  • Hands-on experience with Google Cloud Platform (GCP).
  • Looker and BigQuery optimization strategies
  • DBt or Dataform, along with advanced data modeling experience
  • Experience implementing data governance, data quality, and security best practices.
  • Understanding of CI/CD principles as applied to data and analytics workflows.
  • Experience with large data sets and optimization strategies in a modern Data Warehouse.

Perks and Benefits

  • Health / Dental / Vision
  • Flexible Spending / Health Spending Accounts
  • Flexible Vacation / Paid Holidays / Summer Fridays
  • Education / Tuition Assistance / Annual Learning Stipend
  • 401K 
  • Generous Paid Parental leave
  • Commuter Benefits
  • On Demand Learning (Udemy)
  • Team Lunches / Outings / Events (Yes! We found a way to do virtually!)

Compensation Package

  • The salary range for this position is $150,000 to $175,000 Actual compensation may vary and will be based on a candidate’s qualifications, skills, experience, and location.
  • This role may be performed in or report to teams in states with pay-transparency laws; we disclose pay and benefits consistent with those laws. 
  • Equity

At Bombora, we embrace diversity because it breeds innovation. Bombora is an equal-opportunity employer and participates in E-Verify. 

HQ

Bombora New York, New York, USA Office

Our NY Headquarters is located on Madison Avenue- the heart of New York. This vibrant neighborhood offers a mix of trendy restaurants and cultural landmarks. Our office space is in a prime location, and an ideal place for professionals seeking a dynamic work-life balance.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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