Lead web analytics and conversion optimization by implementing and validating GA4/GTM tracking, monitoring KPIs and funnels, running A/B tests, building dashboards, and delivering data-driven recommendations to Marketing, Product, and Development teams to improve UX and conversion rates.
At LearnTastic, data is at the heart of every strategic decision. As a Data Analytics Specialist (Web Analytics & Conversion Optimization), 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.
- 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.
- 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.
- Remote
- Full-time
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead implementation and day-to-day operations of Ping Identity platforms (PingFederate, PingID, Ping Directory). Design and maintain SSO/MFA integrations (SAML, OAuth2, OIDC), troubleshoot authentication flows and JVM performance, manage certificates and HA/DR, support onboarding, implement advanced OAuth features, automate operational tasks, mentor junior staff, and partner with stakeholders on security requirements and incident resolution.
Top Skills:
Certificate Lifecycle ManagementHeap Dumps)Html Form AdaptersJvm (Thread DumpsJwtKerberosLdapOauth 2.0Openid Connect (Oidc)Ping DirectoryPing IdentityPingfederatePingid MfaSAMLTrust StoresWs-Fed
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Full Stack Engineer will manage technical roadmaps, develop software solutions, and lead projects for sourcing processes, ensuring quality and efficiency.
Top Skills:
.NetCoupaCSSHTMLJavaJavaScriptPegaPHPPythonRubySAP
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.
Top Skills:
Distributed ComputingLarge Language ModelsPythonPyTorchTransformer Architectures
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
