Analyze marketing, website, and product data to improve user experience, conversion rates, and business performance. Build dashboards, monitor KPIs, optimize funnels and customer journeys, lead A/B testing and CRO initiatives, and maintain accurate tracking frameworks. Partner with marketing, product, engineering, and leadership teams to deliver actionable recommendations. Ensure data quality through validation, troubleshooting, and reconciliation across multiple sources.
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.
- 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
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads industrial engineering for semiconductor assembly and test manufacturing, including capacity and resource planning, labor optimization, operational excellence, cost reduction, manufacturing analytics, and factory systems. Develops capacity models, staffing standards, dashboards, and automation initiatives while supporting budgets and capital planning. Builds and mentors an industrial engineering team and collaborates globally to standardize manufacturing practices and improve efficiency, utilization, cycle time, and cost performance.
Top Skills:
Advanced AnalyticsAIManufacturing SimulationMesExcelPower BISQLTableau
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead Ericsson Antenna System’s Asia business, owning regional strategy, sales, business development, customer partnerships, and profit and loss. The role manages antenna and filter product lines, establishes strategic customer relationships, collaborates with market-area organizations, and directs annual business planning and target setting. Success requires telecommunications expertise, international leadership, large-account management, customer-facing experience, strong business acumen, and the ability to lead culturally diverse teams.
Top Skills:
Ericsson Antenna SystemMobile Communication AntennasRf FiltersTelecommunications
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive enterprise software acquisition and revenue growth across a regional territory. Manage prospects and a small existing customer base using land-and-expand strategies, executive engagement, demonstrations, events, territory planning, and strategic account development. Build relationships with VP and C-level stakeholders, partners, and internal teams to close complex sales, acquire new logos, expand usage, and support successful customer implementations.
Top Skills:
Artificial IntelligenceAWSDynatraceGCPAzureUnified Observability
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

.jpeg)

