Senior Data Analyst - Data Monitoring

United Statessenior

Data AnalystData

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Overview

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,

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Data AnalystData

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, Data Monitoring to join MNTN's Production Operations team.

In this role, you'll help build the analytical foundation that enables MNTN to monitor, measure, and improve the health of our connected TV advertising platform. You'll work with large-scale operational, campaign, account, and product data to develop monitoring solutions, dashboards, and insights that help engineering teams detect issues, improve reliability, and make data-driven decisions.

This role partners closely with Production Operations, Engineering, Product, and Analytics teams to translate complex operational data into actionable insights that improve platform stability and operational efficiency.

Responsibilities

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→Analyze production, operational, and campaign data to identify trends, anomalies, and opportunities for improvement
→Design and build scalable data monitoring solutions that proactively detect issues and improve platform reliability
→Develop dashboards, recurring reports, and self-service analytics that provide visibility into system health and operational performance
→Partner with Engineering and Production Operations to investigate incidents, perform root cause analysis, and recommend data-driven solutions
→Identify monitoring gaps and implement new metrics and alerts to improve incident detection and response
→Translate business and operational questions into structured analyses, actionable insights, and clear recommendations
→Collaborate across teams to improve data quality, reporting consistency, and operational decision-making

You consistently deliver accurate, actionable, and high-quality analysis that enables stakeholders to make informed decisions with confidence.
You take ownership of ambiguous operational problems and independently drive them from investigation through clear, data-driven recommendations.
You build trusted dashboards, monitoring solutions, and analytical datasets that are scalable, maintainable, and easy for others to use.
You proactively identify opportunities to improve operational efficiency through automation, AI, and modern analytics tools.
You help establish a data-driven operational culture by delivering reliable insights that improve platform stability and incident response.

5+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related field
Strong SQL skills with experience analyzing large-scale, high-volume datasets
Experience using Python or similar tools for data analysis, automation, and data transformation
Experience building dashboards, reporting solutions, and data visualizations for technical and business stakeholders
Knowledge of database design, data modeling, ETL/ELT processes, and modern data platforms
Strong analytical and problem-solving skills with the ability to investigate complex operational issues
Experience collaborating with cross-functional engineering and operations teams in fast-paced environments
Excellent communication skills with the ability to explain complex findings to technical and non-technical audiences
Experience with Apache Spark, BigQuery, or similar modern analytics platforms is a plus
Experience in AdTech, MarTech, digital advertising, or media is a plus

What We Offer

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✓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

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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