Data Analytics and Optimization Specialist

Learntastic Group; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

LearnTastic is seeking a Data Analytics and Optimization Specialist to transform data into actionable insights driving user experience and conversion growth. You will collaborate with marketing, product, and tech teams in a fast-paced environment where your analyses shape growth strategy.

You will design dashboards, lead CRO initiatives, and ensure data quality across sources, delivering measurable business outcomes and executive-ready recommendations.

Qualifications

• 6-8+ years in digital/marketing/web analytics.
• Strong GA4 and GTM expertise including event tracking.
• SQL, Excel, and at least one viz tool.
• Hands-on with A/B testing and CRO.
• Experience ensuring data quality across sources.
• Understanding marketing/product KPIs and attribution.
• Excellent communication with cross-functional teams.
• Bachelor's degree in related field.

Responsibilities

• Analyze marketing, website, and product performance using GA4, GTM, SQL, and analytics tools.
• Monitor and optimize KPIs, customer journeys, funnels, and user behavior.
• Design and maintain dashboards in Looker Studio, Power BI, or Tableau.
• Lead A/B testing and CRO initiatives and interpret results.
• Implement and validate analytics tracking and data frameworks.
• Collaborate with Marketing, Product, Engineering, and leadership to translate data into strategy.
• Ensure data quality through validation and reconciliation across sources.

Skills

GA4

GTM

SQL

Visualization

A/B Testing

CRO

Dashboards

Data Quality

Stakeholder comms

Leadership

Education

Bachelor's degree in Analytics, CS, Marketing, Business

Tools

Looker Studio

Power BI

Tableau

BigQuery

Job description

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.

Location:

• Remote

Employment Type

• Full-time