Data Analytics and Optimization Specialist

Location: Remote

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.
• Bachelors 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.

• Remote

Employment Type

• Full-time