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Senior Data Analyst

United States

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.)

We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.

We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.

So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.

We’re looking for a Senior Data Analyst to join our Business Analytics Engineering team. In this role, you’ll be working with cutting-edge online advertising technology and delivering top-notch data transformations, analytics, and visualizations. Our advertising spans billions of requests across thousands of dimension attributes handled by dozens of applications. Understanding the flow of data and integration points will be crucial to building representations ranging from high-level summary insights to low-level minutiae. 

What you’ll do

  • Become an expert on MNTN platforms, UI, databases, data pipelines, and advertising ecosystem to enable thoughtful problem-solving with a well-rounded perspective on data sources, system dependencies, and business outcomes
  • Data Modeling: Apply a deep understanding of data structures and flow to design scalable data models that translate complex business and product logic into efficient code, resulting in clean and accurate tables that support both analytical and operational reporting.
  • Reporting & Analytics: Conduct regular data analysis and present insightful reports to internal stakeholders. Deliver high-quality, repeatable dashboards and analytics solutions.
  • Incident Investigation: Investigate, triage, and debug data incidents to find root causes and propose prompt, effective resolutions.
  • Cross-Functional Collaboration: Work closely with teams throughout the company to translate data findings into actionable insights and recommendations.

What success looks like

  • Delivering accurate, high-quality analyses and reporting under tight deadlines, effectively balancing speed, precision, and competing priorities while maintaining rigorous QA practices and attention to detail.
  • Building scalable, sustainable SQL and Python solutions that are well-documented, maintainable, and easily understood by teammates, while contributing positively to team culture through collaboration, knowledge sharing, process improvement, workflow automation, and better analytical practices.
  • Partnering effectively across departments and leadership teams to deliver trusted analytical support, independently driving ambiguous requests through actionable recommendations while building stakeholder trust through accurate reporting, reliable data validation, and thoughtful communication.

What you’ll bring

  • 5+ years experience in data analytics or similar.
  • 2+ years experience in marketing or product analytics.
  • 2+ years experience in Tableau or a similar dashboarding tool.
  • Experienced with high volume (100M+ records) environments or data warehousing.
  • Extensive SQL experience with the ability to write scalable, maintainable queries.
  • Working knowledge of database definition language to create and manage your own datasets.
  • Working knowledge of ETL concepts.
  • Advanced Excel/spreadsheet and analytical skills.
  • Demonstrated ability to create data visualizations for use in communication with others through reports and dashboards.
  • A self-starter attitude and ability to work in a fast-paced but fun environment.
  • Ability to multi-task, be extremely detail-oriented, and thrive in an entrepreneurial environment characterized by growth and change.
  • Ability to manage multiple stakeholders and multiple priorities.
  • Bonus: Project management and organizational skills.
  • Bonus: 2+ years experience in martech or adtech with a demonstrable understanding of ad buying, attribution, and analytics.

MNTN Perks

  • 100% remote within the US
  • Flexible vacation policy
  • Annual vacation allowance for travel related expenses
  • Three-day weekend every month of the year
  • Competitive compensation
  • 100% healthcare coverage
  • 401k plan
  • Flexible Spending Account (FSA) for dependent, medical, and dental care
  • Access to coaching, therapy, and professional development

About MNTN

Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.

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