Learntastic
Website:
learntastic.com
Job details:
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.
Key Responsibilities:
- Analyze marketing, website, and product performance using GA4, GTM, SQL, and product analytics tools to generate actionable insights
- Monitor and optimize marketing and product KPIs, customer journeys, conversion funnels, and user behavior to identify growth opportunities
- Design, build, and maintain dashboards and reports using Looker Studio, Power BI, or Tableau to support business and executive decision-making
- Lead A/B testing and Conversion Rate Optimization (CRO) initiatives, evaluating results and recommending improvements
- Implement, validate, and maintain event tracking, conversion tracking, and analytics frameworks to ensure data accuracy and consistency
- Partner with Marketing, Product, Engineering, and leadership teams to translate data into strategic recommendations and measurable business outcomes
- Ensure data quality through validation, troubleshooting, and reconciliation across multiple data sources
Required Skills:
- 6–8+ years of experience in digital, marketing, product, or web analytics
- Strong expertise in Google Analytics 4 (GA4) and Google Tag Manager (GTM), including event and conversion tracking
- Proficiency in SQL, Microsoft Excel, and at least one visualization tool (Looker Studio, Power BI, or Tableau)
- Hands-on experience with A/B testing, Conversion Rate Optimization (CRO), customer journey analysis, and funnel optimization
- Experience implementing, validating, and troubleshooting analytics frameworks while ensuring data quality
- Strong understanding of marketing and product KPIs, attribution, user behavior, and performance analysis
- Excellent analytical, problem-solving, and communication skills, with the ability to present actionable insights to cross-functional teams and executive stakeholders
- Bachelor's degree in Analytics, Computer Science, Marketing, Business, or a related field
Preferred Skills:
- Experience with Heap, Amplitude, Mixpanel, or other product analytics platforms
- Experience analyzing backend/product event data and customer lifecycle metrics
- Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
- Knowledge of advanced analytics techniques, including cohort analysis, retention analysis, and marketing attribution models
- Familiarity with digital marketing platforms (e.g., Google Ads, Meta Ads) and CRM or marketing automation tools
- Google Analytics or other relevant analytics certifications
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