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
Enterprise Web • Mobile • Professional Services • Software
Build and improve production LLM agents and AI features through evaluation, experimentation, observability, prompting, context engineering, tool use, and workflow design. Develop backend services, APIs, data models, and feedback pipelines that make agent behavior reliable and measurable. Investigate performance issues, run staged rollouts and production replays, define quality standards, and partner with Product, Data Science, and Sales to deliver business outcomes with appropriate privacy, security, and human-oversight safeguards.
Top Skills:
Agentic WorkflowsAPIsBackend ServicesBraintrustClaude CodeCursorData ModelsDatadog Llm ObservabilityEvaluation HarnessesGithub CopilotLangchainLanggraphLangsmithLlm-As-JudgeLlm-Based SystemsMcp
Enterprise Web • Mobile • Professional Services • Software
Own the AI product roadmap from discovery through launch and iteration. Define model evaluation standards, failure modes, rollback plans, and agent-autonomy boundaries. Prototype and ship production AI features, influence architecture, and apply prompting and context design. Collaborate with Design, Research, Engineering, Sales, Marketing, and Customer Success while tracking quality, latency, cost, adoption, and growth metrics.
Top Skills:
AIBraintrustClaudeCodexCursorLangsmithLlmsOpenclaw
Enterprise Web • Mobile • Professional Services • Software
Build and own full-stack product features from ambiguous problems through deployment. Partner with Product and Design, make UX decisions, integrate LLM and agent capabilities into trustworthy product experiences, talk with users, instrument releases, and iterate based on usage. The role requires strong product judgment, user empathy, independent execution, and comfort using AI coding tools while collaborating with AI engineers on model behavior.
Top Skills:
Claude CodeCursorGithub CopilotLlm AgentsLlm ApisPrompting
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
