Data Analyst

Posted about 1 month agoViewed

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💎 Seniority level: Middle, 3+ years

📍 Location: United States

💸 Salary: 80000.0 - 115000.0 USD per year

🔍 Industry: Software Development

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSQLETLGoogle AnalyticsData engineeringData visualizationA/B testing

Requirements:

3+ years of experience in data analysis, with a proven track record of driving organic growth.
Experience building and maintaining ETL pipelines and working with APIs for data extraction and integration.
Proficiency in SQL, Python, or R for data manipulation, analysis, and automation.
Expertise in predictive modeling, forecasting, and statistical analysis.
Experience with A/B testing tools and CRO frameworks.
Proficiency in data visualization tools such as Looker Studio, Tableau, or Power BI.
Deep understanding of technical SEO, keyword intent mapping, and content optimization.
Familiarity with SEO tools like Google Analytics, Google Search Console, SEMrush, and Screaming Frog.

Responsibilities:

Partner with stakeholders to optimize customer journeys, subscription flows, and engagement metrics.
Drive A/B and multivariate testing initiatives across desktop and mobile platforms.
Develop and monitor KPIs to measure product success and growth globally.
Analyze user behavior and product performance, translating findings into actionable insights.
Design real-time dashboards and visualizations to empower teams with critical data.
Conduct keyword research and intent mapping to align product and content strategies with user needs.
Develop technical SEO strategies, including structured data implementation and site architecture optimization.
Monitor and analyze organic search performance, leveraging tools like Google Analytics, SEMrush, and Search Console.
Design and implement SEO-focused A/B tests to enhance user experience and conversions.
Stay informed on search engine algorithm updates and adapt strategies accordingly.
Build and maintain ETL pipelines to integrate data from multiple sources into dashboards.
Utilize APIs for data extraction, enabling real-time SEO and product analysis.
Perform statistical analyses and predictive modeling to support traffic and revenue forecasts.

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