{"id":843269,"url":"https://alion.io/job/spotter-director-analytics-engineering","title":"Director, Analytics Engineering","company":{"id":688593,"name":"Spotter","domain":"spotter.com","url":"https://alion.io/company/spotter-3","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Culver City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":161000,"max_usd":300000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1323},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-19T20:10:08Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-24T07:25:21Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Overview\nSpotter empowers the world's best Creators with capital, data, and insights to scale their programming into sustainable media businesses. Through these partnerships, Spotter helps brands partner with creator-led franchises to unlock growth, amplify impact, and build lasting cultural relevance.\nSpotter has already deployed over $1 billion to YouTube Creators to reinvest in themselves and accelerate their growth. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.\nWhat You’ll Do\nAs aDirector, Analytics Engineering at Spotter, you will lead efforts to deliver cutting-edge analytics engineering solutions that empower data-driven decision-making across the organization. You will play a key role in shaping the analytics engineering strategy, and driving innovation to ensure the organization maintains a competitive edge. In this role, you will collaborate with cross-functional teams, provide technical guidance and mentorship across the team, and establish best practices for Analytics Engineering.\nResponsibilities\nPartner with data engineers to ensure smooth, efficient, resilient, and agile knowledge delivery pipelines.\nInterface with other business units to understand analytical needs and deliver datasets/tools in response.\nIdentify and capitalize on opportunities to improve ETL (Extract, Transform, Load) processes, increasing scalability, security, extensibility, efficiency, and alignment with organizational goals.\nCollaborate closely with data scientists, business analysts, and senior stakeholders to define analytics requirements and deliver innovative technical solutions that drive business outcomes.\nCollect, organize, structure and profile data to build Analytics Ready Datasets for discovery of meaningful insights.\nDevelop, implement, and enforce methodologies for rigorous data quality checks and validation processes to ensure reliability, accuracy, and trustworthiness of data assets.\nCollaborate efforts to identify and resolve data-related challenges and inconsistencies in partnership with data engineering and analytics teams.\nProvide technical guidance and mentorship to analytics engineers, fostering growth, collaboration, and knowledge-sharing across the team.\nDevelop and manage sophisticated dashboards, reports, and self-service reporting tools using TIBCO Spotfire, Power BI, and other advanced visualization platforms to surface important data and provide actionable insights to stakeholders.\nWork with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.\nQuickly learn technical topics and communicate limitations when encountered.\nNavigate ambiguous situations with momentum necessary to overcome uncertainty.\nWho You Are\nBachelor’s degree in a relevant field such as Engineering, Computer Science, Analytics, Applied Math, Statistics, or Business Analytics; advanced degrees are highly preferred.\n7+ years of experience in analytics engineering, data engineering, or a related field.\nExpertise in designing and maintaining scalable data pipelines and advanced ETL processes, with proficiency in relevant tools and technologies including Python, SQL, DBT, and at least one popular data warehousing platform (e.g. Redshift, BigQuery, Databricks, Snowflake, etc)\nStrong technical background in data instrumentation, data QA, and maintaining data accuracy across complex environments.\nProven track record of developing and implementing automated reporting solutions and visualization tools, leveraging platforms such as TIBCO Spotfire and Power BI.\nDemonstrated ability to collaborate effectively with cross-functional teams and stakeholders at all levels, translating business needs into technical solutions.\nStrong problem-solving skills with the ability to navigate ambiguity and provide strategic direction for analytics initiatives.\nExceptional communication and interpersonal skills, with experience guiding team members to success.\nNote: Due to the proliferation of similarly capable business products today, skills in equivalent products are acceptable\nPreferred\nKnowledge of the YouTube or Content Creator industry\nPersonal Attributes\nStrategic thinker with a proactive and forward-looking approach to analytics challenges and opportunities.\nDetail-oriented and process-driven, with a passion for driving data accuracy and operational excellence.\nCollaborative teamwork and knowledge sharing across diverse teams.\nResilient and adaptable in fast-paced, evolving environments, demonstrating agility in responding to shifting priorities.\nSelf-motivated and independent, capable of managing complex projects with minimal supervision while delivering high-quality outcomes.\nCommitted to continuous learning and staying ahead of industry advancements to bring innovative ideas to the organization.\nWhy Spotter\nMedical insurance covered up to 100%\nDental & vision insurance\n401(k) matching\nStock options\nDiscretionary PTO\nComplimentary gym access\nAutonomy and upward mobility\nDiverse, equitable, and inclusive culture, where your voice matters.\nIn compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $160K-$180K salary per year. The range listed is just one component of Spotter’s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity.\nSpotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws. \nEqual access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.","description_format":"text","description_chars":6797,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Health insurance","Stock options","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Influencers"],"lifecycle":[{"event":"open","at":"2026-09-12T22:56:43Z"}],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.672,"p_room":0.75,"age_days":35,"expected_fill_days":38,"reasons":["conf:3","win:late"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/spotter-director-analytics-engineering","json_url":"https://alion.io/job/spotter-director-analytics-engineering.json","meta":{"generated_at":"2026-09-24T07:58:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}