{"id":93334,"url":"https://alion.io/job/clear-channel-outdoor-analytics-engineer","title":"Analytics Engineer","company":{"id":8276,"name":"Clear Channel Outdoor","domain":"clearchanneloutdoor.com","url":"https://alion.io/company/clear-channel-outdoor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":11,"ghost_share":0,"stale_share":0.545,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":113000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":898},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-08T00:00:00Z","employer_posted_date":"2026-08-08","last_verified_at":"2026-10-17T01:49:15Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Current employees and contingent workers click here to apply and search by the Job Posting Title.\nClear Channel OutdoorJob Summary:\nClear Channel Outdoor (CCO) has developed an industry-leading platform (RADAR) that provides data-driven audience insights and measurement for out-of-home (OOH) campaigns. We are looking for a detail-oriented and business-minded Analytics Engineer to join the RADAR Data Products team. In this role, you will sit at the intersection of data engineering and business intelligence, building the models, pipelines, and dashboards that power strategic decisions across the organization. You will partner closely with cross-functional teams spanning Product, Engineering, and Sales to transform raw data into reliable, decision-ready insights - with a keen eye for transforming and automating process along the way.Job Responsibilities\nDevelop and maintain knowledge of the media landscape (particularly OOH), advertising trends, and RADAR Data Platform capabilities to better contextualize RADAR's datasets and analytics outputs.\nOwn the end-to-end delivery of technical RADAR programs - including data maintenance, schema designs, and reporting assets - ensuring they are delivered in a timely fashion and meet quality standards.\nEngage with cross-functional product, engineering, marketing, and sales teams to define analytics requirements, KPIs, and metrics that support key business and product decisions.\nWrite, optimize, and maintain scalable SQL queries and data models that serve as the foundation for reporting, dashboards, and downstream analytics.\nBuild and maintain modular, reusable data pipelines and transformations using modern ELT/ETL frameworks, delivering clean, analytics-ready datasets across teams.\nOwn the development and maintenance of BI dashboards and self-serve analytics tools, translating business requirements into reliable, production-grade reporting assets.\nImplement testing frameworks, data validation processes, and documentation standards that ensure accuracy and trustworthiness across RADAR data products.\nAutomate and optimize recurring data workflows, reducing manual effort and improving consistency and scalability across the data platform.\nCollaborate with Data Engineering teams to troubleshoot pipeline issues, align on data architecture, and contribute to long-term investments in the RADAR data platform.\nCommunicate technical work, findings, and data limitations clearly to both technical and non-technical stakeholders, enabling confident, data-informed decision-making.\nJob Qualifications\nEducation\nBachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related field, equivalent professional experience or military experience.\nWork Experience\nMinimum of two (2) years working as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers.\nStrong proficiency working in SQL to create scalable and efficient queries that can used to deliver business insights at scale\nProficiency in Python, R, or similar programming languages for data analysis and statistical modeling\nProficiency working with a modern BI reporting tool such as Looker, Mode, or Tableau\nFamiliarity with infrastructure components, ETL processes, and reporting/analytic tools and environments.\nSkills\nUnderstanding of the principles of ad measurement, identity resolution, location data and other adtech/martech datasets.\nStrong ability to manage and execute fast-paced, dynamic projects with a high degree of organization and independence.\nAbility to perform rigorous data analysis when needed to support high-impact business and product decisions.\nEffective communication skills for presenting analysis results to stakeholders, fostering collaboration, and influencing decision-making across teams.\nKnowledge of Cloud database tools such as AWS, GCP, Azure\nStrong communication skills for both technical and non-technical stakeholders of data\nCompetencies\nAnalytical Thinking & Problem Solving: Ability to break down complex business questions into structured data problems, applying statistical reasoning and sound analytical judgment to surface meaningful insights.\nTechnical Proficiency: Strong command of SQL, data modeling principles, and BI tooling, with the ability to write clean, efficient, and well-documented code that scales across the organization.\nData Storytelling & Communication: Skill in translating technical findings into clear, compelling narratives for both technical and non-technical audiences, driving understanding and action at all levels.\nCross-Functional Collaboration: Demonstrated ability to work effectively across Product, Engineering, Sales, and Marketing teams - gathering requirements, aligning on definitions, and delivering solutions that meet diverse stakeholder needs.\nAttention to Detail & Data Integrity: A disciplined approach to data quality, testing, and documentation that ensures accuracy and trust in the outputs this role produces.\nPhysical Demands\nThe demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nAbility to sit and/or stand at a desk for a minimum of 8 hours a day and complete tasks requiring repetitive use of hands;\nMust have the ability to see written documents, computer screens and to adjust focus;\nThis job is performed in a temperature-controlled office environment.\nOther Requirements\n5-10% of time will be traveling to client meetings and industry events\nThe Targeted Compensation Range for this New York position is:\nMin: $84,000\nMax: $105,000\nBonus eligible, subject to the terms and conditions of the applicable incentive plan.\nComprehensive Benefits package offerings, which includes:\nMultiple Medical, Dental, and Vision Plans to choose from\nHealth Care Spending Accounts (HSA and FSA Options)\nMedicare Assistance\nDependent Care Flexible Spending Account\nOptional Short Term and Long Term Disability Plans\nCompany Paid Employee Life and AD&D Insurance\nSupplemental Life and AD&D Insurance (Employee/Spouse/Child)\nVoluntary Benefits: Critical Illness, Accident, Identity Theft Protection, Legal Assistance, and Pet Insurance\nPre-Tax Commuter Spending Account\nEmployee Assistance Program (EAP)\n401(k) Savings Plan with company match\nPaid Time Off (Accrued Vacation and Sick Plans)\nFree Digital Gym Membership and Discounted Memberships\nProfessional Development Opportunities\nEmployee Resource Groups Ultimate compensation will be based on several factors, including relevant experience, skills, scope and responsibility of the position, as well as pursuant to salary market benchmarks. This salary range is a good-faith estimate of the salary for this position. EEOC statement As an equal opportunity workplace, we believe that being your authentic self enables us to deliver innovative advertising solutions while enhancing our communities. Our goal is to foster an inclusive environment where we celebrate you as you are, and value your growth and passion.\nLocation\nNew York, NY: 200 Park Avenue, Suite 701, 10166Position Type\nRegularThe Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.\nOur organization participates in E-Verify. 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