Data Analytics Specialist

### LearnTastic is a fast-growing online education platform providing accredited continuing-education and compliance courses for professionals across industries-from healthcare and construction to HR and education. With more than 1,000 courses and over a million learners served, LearnTastic is redefining accessible, self-paced learning. Our mission is to make professional development simple, engaging, and impactful-anytime, anywhere.

### As part of our dynamic team, you’ll help shape the learning experiences that empower individuals and organizations nationwide. At LearnTastic, great design isn’t just about usability-it’s about transforming how people learn and grow.

Job description

### We are seeking a detail-oriented and proactive Data Analytics Specialist to drive data-driven insights across the organization. This role will play a key part in enabling cross-functional collaboration and working closely with the development team to enhance and strengthen backend analytics systems. The ideal candidate combines strong analytical skills with technical expertise and business acumen. The ideal candidate should have strong expertise in marketing analytics, attribution, GA4, BI tools, and the ability to collaborate closely with cross-functional teams while independently driving insights and follow-ups.

### Key Responsibilities

• Analyze large datasets to uncover actionable insights that support strategic decision-making
• Develop and maintain dashboards, reports, and visualizations for stakeholders
• Collaborate with cross-functional teams (product, engineering, marketing, operations) to understand data needs and deliver solutions
• Work closely with the development team to design, optimize, and scale backend analytics infrastructure
• Define and track key performance indicators (KPIs) and metrics
• Ensure data quality, consistency, and integrity across systems
• Translate complex data findings into clear, concise business recommendations
• Support A/B testing, forecasting, and predictive analytics initiatives
• Identify opportunities to automate reporting and improve data processes
• Build, maintain, and optimize dashboards and reporting frameworks using tools like Power BI and Looker
• Analyze funnel performance (traffic → registration → conversion → revenue) and identify key drop-offs and growth opportunities
• Work extensively with GA4, ensuring accurate tracking, event setup, and attribution
• Collaborate with development and product teams to improve backend tracking, data pipelines, and analytics implementation
• Ensure data accuracy and consistency across GA4, backend systems, and BI tools
• Generate actionable insights and proactively highlight performance issues, trends, and opportunities
• Define and track key KPIs across marketing and business functions
• Identify and resolve discrepancies between platforms (e.g., GA4 vs Ads vs backend data)
• Automate reporting processes to improve efficiency and reduce manual effort
• Work closely with stakeholders to translate business requirements into analytical solutions
• Proactively follow up with teams to ensure implementation of tracking, reporting, and data fixes
• Own and manage end-to-end reporting and analytics across marketing channels (Google Ads, Bing, Meta, Affiliate, etc.)

### Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
• 2–5+ years of experience in data analytics or a similar role
• Strong proficiency in SQL and at least one programming language (Python or R preferred)
• Experience with data visualization tools (Tableau, Power BI, Looker)
• Solid understanding of data modeling and database design
• Experience working with backend systems and data pipelines
• Strong analytical thinking and problem-solving skills
• Exposure to A/B testing, forecasting, and predictive analytics
• Experience in EdTech, SaaS, or performance marketing-driven businesses

### Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with ETL processes and tools
• Knowledge of statistical analysis and machine learning techniques
• Experience in agile environments and working closely with engineering teams

### Key Competencies

• Strong communication and storytelling with data
• Ability to work collaboratively across teams
• Attention to detail and data accuracy
• Proactive and solution-oriented mindset

Benefits

• Working hours: 5am-2pm CST
• 20 days of annual leave.
• National holidays of your country of residence are observed.
• Learning and development opportunities.

This is a remote opportunity