{"id":1804938,"url":"https://alion.io/job/birdeye-senior-data-engineer-analyst-search-ai-visibility","title":"Senior Data Engineer / Analyst – Search & AI Visibility","company":{"id":41131,"name":"Birdeye","domain":"birdeye.com","url":"https://alion.io/company/birdeye","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":{"grade":"A","score":88,"open_postings":40,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-21T08:33:35Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-22T11:03:08Z","board_verified":true,"closed_at":null,"days_open":184,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":183},"description":"Description\nAbout Birdeye\nBirdeye is the leading agentic marketing platform for multi-location brands.\nCompanies like H&R Block, Aspen Dental, and Caesars Entertainment use Birdeye to manage marketing across thousands of locations - from how they get found, to how they convert, to how they retain customers. Our platform replaces disconnected point tools with AI agents that execute work at the location level - responding to reviews, updating listings, publishing content, and driving conversions.\nBacked by Marc Benioff, Jerry Yang, and Accel-KKR, Birdeye was named to G2’s 2026 Best Agentic AI Products list - appearing alongside the world’s leading AI companies. We’re expanding rapidly into enterprise, with growing adoption across large, multi-location brands.\nThe Opportunity\nThis is a hybrid role that combines data engineering, analytics, and product strategy.\nYou'll build scalable datasets, design data pipelines, analyze massive amounts of search performance data, and partner with Product, Engineering, and Growth teams to identify what improves SEO and Answer Engine Optimization (AEO) performance across our platform.\nRather than building customer-facing features, you'll build the intelligence that helps us decide what features to build next.\nYour work will directly influence our product roadmap by helping answer questions like:\nWhat product capabilities have the greatest impact on organic visibility?\nWhy are certain customers or industries outperforming others?\nHow do search engine and AI search algorithm changes affect our customers?\nWhich product investments create measurable improvements in rankings, traffic, and conversions?\nWhere are our biggest opportunities to improve customer outcomes\nWhat You'll Do\nBuild the Data Foundation\nDesign, build, and maintain scalable data pipelines using SQL, Python, Snowflake, dbt, and modern data engineering practices\nIntegrate and model data from Google Search Console, Google Business Profile, analytics platforms, ranking providers, AI visibility datasets, and internal product systems\nEnsure data quality, reliability, governance, and auditability across analytical datasets\nDevelop reusable data models that support experimentation, reporting, and long-term product analytics\nContinuously improve the performance and scalability of our analytical data infrastructure\nDiscover What Drives Organic Performance\nAnalyze billions of data points to identify the factors that influence SEO and AEO performance\nInvestigate underperforming customers, industries, and locations to determine root causes\nMeasure the impact of product features on rankings, visibility, traffic, engagement, and conversions\nEvaluate search engine and AI search algorithm updates across customer cohorts\nBuild statistical analyses and experiments that separate correlation from causation\nIdentify patterns and opportunities that inform future product investments\nTurn Data into Product Strategy\nBuild executive dashboards and self-service reporting using modern business intelligence and data visualization platforms\nDevelop KPIs and measurement frameworks that quantify product impact\nPresent clear, actionable recommendations to Product, Engineering, Growth, and executive leadership\nPartner with Product Managers to prioritize roadmap investments based on measurable customer outcomes\nTranslate complex analytical findings into recommendations that improve customer visibility and product performance\nCollaborate Across the Business\nServe as the primary analytical partner across Data Engineering, Product, Growth, Customer Success, and Engineering\nHelp define how Birdeye measures success across SEO, AEO, and AI visibility\nEstablish scalable methodologies for evaluating product effectiveness\nChampion a culture of experimentation and data-driven decision making\nAI-Driven Analytics\nWe expect AI to be part of how you work-not just something you build for others.\nSuccessful candidates are comfortable leveraging modern AI tools throughout the analytics lifecycle to:\nAccelerate SQL, Python, and data engineering workflows\nExplore large and complex datasets more efficiently\nGenerate hypotheses and rapidly validate findings\nAutomate repetitive analysis, documentation, and reporting tasks\nImprove productivity while maintaining high standards for data quality and analytical rigor\nYou understand where AI adds value, where human judgment is essential, and how to combine both to deliver better insights faster.\nWhat We're Looking For\nTechnical Skills\nExpert-level SQL with experience analyzing large-scale datasets\nStrong Python programming skills for analytics, automation, and data engineering\nExperience designing and maintaining ELT/ETL pipelines\nExperience working with Snowflake or other modern cloud data warehouses\nExperience with dbt or similar data transformation frameworks\nExperience building executive dashboards and self-service reporting using modern business intelligence platforms\nStrong understanding of data modeling, performance optimization, and analytical best practices\nAnalytical Skills\nExceptional analytical and problem-solving abilities\nExperience working with very large datasets and uncovering meaningful patterns\nStrong statistical reasoning and hypothesis-driven analysis\nExperience designing measurement frameworks and evaluating experiments\nAbility to distinguish correlation from causation and communicate findings with confidence\nExcellent communication skills with the ability to translate technical analysis into business recommendations\nDomain Knowledge\nExperience in one or more of the following areas is preferred:\nSEO and technical SEO\nLocal search and Google Business Profile\nMulti-location business analytics\nDigital marketing analytics\nAnswer Engine Optimization (AEO)\nAI search platforms and search visibility\nProduct analytics or growth analytics\nYou don't need to be an SEO expert on day one, but you should be excited to become one and apply data to solve complex search visibility challenges.\nRequirements\nQualifications\nBachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related technical field\n5+ years of experience in Data Engineering, Analytics, Product Analytics, Growth Analytics, or a related role\nProven experience building scalable data solutions and analytical models\nExperience partnering closely with Product and Engineering teams to influence business decisions\nDemonstrated ability to work independently on ambiguous, data-intensive problems\nWhat Success Looks Like\nWithin your first year, you will:\nBuild trusted datasets that become the source of truth for SEO, AEO, and AI visibility performance\nIdentify the product capabilities that have the greatest impact on customer organic visibility\nCreate reporting and measurement frameworks used by Product and executive leadership to guide roadmap decisions\nDevelop scalable analyses that proactively identify customer performance opportunities\nHelp Birdeye continuously improve customer outcomes through data-driven product innovation\nWhy Join Birdeye?\nHelp shape the future of search as AI transforms how consumers discover businesses.\nWork with massive, real-world datasets spanning hundreds of thousands of businesses and millions of search interactions.\nInfluence product strategy with data, not just reports.\nCollaborate with talented Product, Engineering, and Growth teams on high-impact initiatives.\nUse modern data engineering practices and AI-powered workflows to solve complex problems at scale.\nBuild systems and insights that directly improve the success of businesses around the world.","description_format":"text","description_chars":7628,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Marketing Automation","Digital Marketing","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2026-10-03T19:05:51Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long 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