Data Analytics and Optimization Specialist in India, भारत
Learntastic
RemoteWork from anywhere
Full-timeStandard weekly hours
India, भारत
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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