GA4 Lead Analyst- Immediate Joiner

Saino Koyo Consulting; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

Saino Koyo Consulting is seeking a Digital Marketing Analytics Specialist in the United States to translate marketing data into actionable insights. You will own data pipelines, dashboards, and performance metrics across campaigns and channels.

You'll work with GA4, SQL (BigQuery), Looker Studio/Tableau/Power BI, and collaborate with marketing, product, and sales teams to optimize ROI and drive business growth.

Qualifications

• 3+ years in digital marketing analytics or a hybrid marketing/data analytics role.
• Proficiency with web analytics platforms GA4; Adobe Analytics a plus.
• Strong SQL skills with BigQuery or similar cloud databases; write optimized queries.
• Experience cleaning, merging, and normalizing data from CRM, ad platforms, surveys, and web analytics.
• Experience building dashboards in Looker Studio, Tableau, Power BI, or equivalent tools.
• Understanding of marketing metrics: CTR, CPA, CPC, ROI, LTV, ROAS, conversion rate.
• Ability to present insights clearly to cross-functional, non-technical stakeholders.
• Strong critical-thinking and problem-solving; identify trends and anomalies.

Skills

Marketing analytics

SQL

Statistical concepts

Data storytelling

Analytical thinking

Tools

GA4

Adobe Analytics

BigQuery

Looker Studio

Tableau

Power BI

Job description

• 3+ years of hands-on experience in digital marketing analytics or a hybrid marketing and data analytics role.
• Proficiency with web analytics platforms, specifically GA4 (Google Analytics 4). Adobe Analytics experience is a strong plus.
• Strong SQL skills with experience querying BigQuery or similar cloud databases. Ability to write optimized queries and handle mid-to-large datasets.
• Demonstrated experience cleaning, merging, and normalizing data from multiple sources (CRM, ad platforms, surveys, and web analytics).
• Experience building dashboards and visual reports in Looker Studio, Tableau, Power BI, or equivalent tools.
• Solid understanding of digital marketing performance metrics: CTR, CPA, CPC, ROI, LTV, ROAS, conversion rate, and their connection to business objectives.
• Understanding of fundamental statistical concepts: hypothesis testing, confidence intervals, regression basics, and A/B test design and validation.
• Ability to present complex data insights clearly and concisely to cross-functional, non-technical stakeholders.
• Strong critical-thinking and problem-solving skills, with the ability to identify trends, flag anomalies, and derive strategic recommendations.