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.
... Title: Data & Analytics Specialist Location: India Experience: 2+ Years Industry: IT / Data & Analytics Job Summary Our client is seeking a Data & Analytics Specialist to transform business data into meaningful insights and support data-driven decision-making. The ideal candidate should have strong analytical skills and experience ...
... the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence. Sr. Specialist - Data Analytics team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the ...
Role Summary:We are looking for a hands-on BI / Data Analytics Specialist to support enterprise BI, reporting, and analytics initiatives across manufacturing and corporate functions. The role involves developing Power BI dashboards, SQL-based analysis, data models, KPI reporting, and analytics solutions while working closely ...
... reliable, and actionable data. Key Responsibilities - Deliver integrated workforce, recruiting, and business insights by combining HR, talent, operational, financial, and external labor market data into executive-ready reporting, analytics, and strategic narratives. - Build and maintain scalable dashboards, data models, reporting ...
... platforms like snowflake with hands on SQL and PL/SQL functions. - Experience in financial services industry primarily on Financial Risk management for different types of securities like equities, treasuries, Mortgage-backed securities. - Strong knowledge of Data warehousing concepts and Large scale Data pipelines. []
... motivated individuals to join our Data Analytics Internship Program . This remote internship provides practical exposure through real industry-based projects, hands-on assignments, and mentorship . As a Data Analytics Intern, you will work with datasets, analyse and interpret data, create dashboards, and derive meaningful ...
Summary The Senior Specialist, Analytics AI role is responsible for the design, development, automation, and operational support of enterprise AI, GenAI, and MLOps platform capabilities. The role partners with business, architecture, security, data science, and engineering teams to deliver scalable, secure, and compliant ...
... Experience in model development, validation, feature engineering, diagnostics, and model https://jobeax.com/link/kID9aUYIGY5Np3MH & MLOps:- Hands-on experience with Databricks, Spark, Delta Lake, MLflow, workflows, CI/CD, Git/Azure DevOps, and productionizing automated data/model pipelines.Coding:- Strong hands-on experience in ...
... development of team members.- Provide guidance on the design and implementation of data analysis and reporting solutions.- Contribute to the continuous improvement of data analytics processes, methodologies, and tools.- Stay updated with industry trends and advancements in data analytics and data https://jobeax.com/link/YEILYXWYnD0aYH4M ...