{"id":2540489,"url":"https://alion.io/job/learntastic-data-analytics-and-optimization-specialist-learntastic","title":"Data Analytics and Optimization Specialist - Learntastic","company":{"id":4419543,"name":"LearnTastic","domain":"learntastic.com","url":"https://alion.io/company/learntastic","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":194000,"period":"year","method":"global_role_seniority_cell","sample_n":2324},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"BigQuery","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-14T15:24:51Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T04:55:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At LearnTastic, data is at the heart of every strategic decision. As a Data Analytics and Optimization Specialist, you will play a critical role in driving business growth by transforming data into actionable insights that enhance user experience, optimize digital performance, and improve conversion outcomes. You'll collaborate with a high-performing team of marketing, product, and technology professionals in a fast-paced, innovation-driven environment where your expertise will have a direct and measurable impact.\nKey Responsibilities:\nAnalyze marketing, website, and product performance using GA4, GTM, SQL, and product analytics tools to generate actionable insights.\nMonitor and optimize marketing and product KPIs, customer journeys, conversion funnels, and user behavior to identify growth opportunities.\nDesign, build, and maintain dashboards and reports using Looker Studio, Power BI, or Tableau to support business and executive decision-making.\nLead A/B testing and Conversion Rate Optimization (CRO) initiatives, evaluating results and recommending improvements.\nImplement, validate, and maintain event tracking, conversion tracking, and analytics frameworks to ensure data accuracy and consistency.\nPartner with Marketing, Product, Engineering, and leadership teams to translate data into strategic recommendations and measurable business outcomes.\nEnsure data quality through validation, troubleshooting, and reconciliation across multiple data sources.\nRequired Skills:\n6-8+ years of experience in digital, marketing, product, or web analytics.\nStrong expertise in Google Analytics 4 (GA4) and Google Tag Manager (GTM), including event and conversion tracking.\nProficiency in SQL, Microsoft Excel, and at least one visualization tool (Looker Studio, Power BI, or Tableau).\nHands-on experience with A/B testing, Conversion Rate Optimization (CRO), customer journey analysis, and funnel optimization.\nExperience implementing, validating, and troubleshooting analytics frameworks while ensuring data quality.\nStrong understanding of marketing and product KPIs, attribution, user behavior, and performance analysis.\nExcellent analytical, problem-solving, and communication skills, with the ability to present actionable insights to cross-functional teams and executive stakeholders.\nBachelor's degree in Analytics, Computer Science, Marketing, Business, or a related field.\nPreferred Skills:\nExperience with Heap, Amplitude, Mixpanel, or other product analytics platforms.\nExperience analyzing backend/product event data and customer lifecycle metrics.\nExperience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.\nKnowledge of advanced analytics techniques, including cohort analysis, retention analysis, and marketing attribution models.\nFamiliarity with digital marketing platforms (e.g., Google Ads, Meta Ads) and CRM or marketing automation tools.\nGoogle Analytics or other relevant analytics certifications.\nLocation:Remote\nEmployment 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