The Data Analytics Specialist will analyze datasets, develop dashboards, collaborate with teams, and optimize backend analytics systems. The role requires strong analytical skills, technical expertise, and experience in marketing analytics and BI tools.
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.
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:
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:
This is a remote opportunity
- 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
- 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
Top Skills
AWS
Azure
Ga4
GCP
Looker
Power BI
Python
R
SQL
Tableau
Similar Jobs
Fintech • HR Tech • Insurance • Consulting
The role involves developing data insights for business decisions, maintaining applications, collaborating on growth initiatives, and creating dashboards using BI tools.
Top Skills:
AWSAzureDatabricksPower AppsPower BIPythonQlik SenseSQLTableau
Fintech • HR Tech • Insurance • Consulting
The role involves data wrangling, standardizing claims data for analytics, reviewing dashboard metrics, and coordinating with stakeholders on analytics projects.
Top Skills:
Bi ToolsExcelPythonVba Macros
Fintech • HR Tech • Insurance • Consulting
Lead data collection, classification and reporting for FINPRO claims; improve data capture processes; create actionable insights from claims data; document knowledge, communicate progress to stakeholders, and support adoption of new tools while driving personal development.
Top Skills:
Excel
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
