Senior Data Analyst - Data Monitoring

senior data analystdata monitoringSQLPythonApache SparkBigQueryETLELTdata visualizationdashboarddata modelingadtechmartechconnected tvanalyticsdata scienceproduction operations

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

United States

Full job description

MNTN is hiring a Senior Data Analyst for Data Monitoring on the Production Operations team. The role involves building analytical foundations to monitor, measure, and improve the health of the connected TV advertising platform. Responsibilities include analyzing large-scale operational, campaign, account, and product data; designing scalable data monitoring solutions; developing dashboards and reports; partnering with Engineering and Production Operations to investigate incidents and recommend solutions; identifying monitoring gaps; translating business questions into actionable insights; and collaborating to improve data quality and operational decision-making. Requirements include 5+ years in Data Analytics, Business Intelligence, or Data Science; strong SQL and Python skills; experience with dashboards and data visualization; knowledge of database design, data modeling, ETL/ELT; strong analytical and communication skills; and experience with Apache Spark, BigQuery, or similar platforms is a plus. Experience in AdTech, MarTech, digital advertising, or media is also a plus. The position is full-time and remote, based in the United States.

What you'll do

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

Requirements

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