Data Analyst, Sr.

### About the Role MNTN is looking for a Senior Data Analyst to join its Business Analytics Engineering team. In this role, you’ll work with online advertising technology and deliver high-quality data transformations, analytics, and visualizations. MNTN’s advertising ecosystem spans billions of requests across thousands of dimension attributes and dozens of applications, making a strong understanding of data flows, integrations, and system dependencies essential. You’ll become an expert on MNTN’s platforms, user interface, databases, data pipelines, and advertising ecosystem. You’ll use that knowledge to build scalable data models, develop reliable reporting and analytics solutions, investigate data incidents, and translate complex data into actionable insights for stakeholders across the company. ### Key Responsibilities Become an expert on MNTN platforms, UI, databases, data pipelines, and the advertising ecosystem to support thoughtful, data-driven problem-solving. Develop a well-rounded understanding of data sources, system dependencies, and business outcomes. Design scalable data models using a deep understanding of data structures and data flow. Translate complex business and product logic into efficient, maintainable code. Build clean, accurate datasets and tables that support analytical and operational reporting. Conduct regular data analysis and communicate meaningful findings to internal stakeholders. Develop high-quality, repeatable dashboards and analytics solutions. Investigate, triage, and debug data incidents to identify root causes. Propose prompt and effective resolutions to data-quality and data-related issues. Collaborate with teams across the company to translate data findings into actionable insights and recommendations. Deliver accurate, high-quality analysis and reporting under tight deadlines while balancing speed, precision, and competing priorities. Maintain rigorous quality assurance practices and strong attention to detail. Build scalable and sustainable SQL and Python solutions that are well-documented, maintainable, and easy for teammates to understand. Contribute to knowledge sharing, process improvements, workflow automation, and stronger analytical practices. Partner with departments and leadership teams to provide trusted analytical support. Independently drive ambiguous analytical requests toward actionable recommendations. Build stakeholder trust through accurate reporting, reliable data validation, and thoughtful communication. ### Required Qualifications 5+ years of experience in data analytics or a similar field. 2+ years of experience in marketing analytics or product analytics. 2+ years of experience with Tableau or a similar dashboarding and data visualization tool. Experience working with high-volume data environments, including 100M+ records, or data warehousing. Extensive SQL experience with the ability to write scalable and maintainable queries. Working knowledge of Data Definition Language (DDL) for creating and managing datasets. Working knowledge of ETL concepts and data transformation workflows. Advanced Excel/spreadsheet and analytical skills. Demonstrated ability to create effective data visualizations for reports, dashboards, and stakeholder communication. Strong attention to detail and commitment to data accuracy and quality. Ability to manage multiple stakeholders and competing priorities. Self-starter attitude and ability to work effectively in a fast-paced, entrepreneurial environment characterized by growth and change. Ability to multitask while maintaining accuracy and quality. ### Preferred Qualifications Project management and organizational skills. 2+ years of experience in martech or adtech, with a demonstrable understanding of: Ad buying Attribution Advertising analytics ### Skills & Competencies Data Analytics Data Modeling SQL Python Tableau Data Visualization Dashboard Development Data Warehousing ETL Concepts Database Management Data Definition Language (DDL) Excel and Spreadsheet Analysis Data Quality Assurance Incident Investigation and Root-Cause Analysis Reporting and Business Analytics Marketing Analytics Product Analytics Stakeholder Management Cross-Functional Collaboration Analytical Problem-Solving Workflow Automation Process Improvement AdTech / Martech Analytics ### Education & Experience The source listing does not specify a formal education requirement. 5+ years of experience in data analytics or a similar field. 2+ years of marketing or product analytics experience. 2+ years of Tableau or similar dashboarding-tool experience. Experience with high-volume data environments or data warehousing. ### Work Arrangement & Schedule 100% remote within the United States. The source listing does not specify fixed working hours or a required work schedule. ### Compensation & Benefits Competitive compensation. Flexible vacation policy. Annual vacation allowance for travel-related expenses. Three-day weekend every month of the year. 100% healthcare coverage. 401(k) plan. Flexible Spending Account (FSA) for dependent, medical, and dental care. Access to coaching, therapy, and professional development. ### About MNTN MNTN provides advertising software that helps brands reach audiences across Connected TV, web, and mobile. MNTN Performance TV is designed as a direct-response, performance marketing channel for Connected TV, while its web retargeting solutions have been used by thousands of brands for more than a decade. MNTN’s solutions provide advertisers with transparency and control over campaigns, along with a fast go-live process. The company states that thousands of brands have partnered with MNTN, including Tarte, Decked, and National University. ### Recruitment & Security Information MNTN states that its recruiters will contact candidates using email addresses ending in @mountain.com or @mntn.com. The company states that it does not use a Reference Code when contacting candidates and advises applicants to be cautious of individuals who do not use the stated company email domains. Work Location: Remote within the United States Employment Type: Not specified in the provided listing Job Function: Data Analytics / Business Analytics Engineering