.Job DescriptionHi there!We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don't miss your chance.This is our Insights Analyst role for those who want to turn ideas into reality and participate in improving Semrush's analytics tools.Tasks in the roleWorking with analytical tasks for Product, Business, Sales, Marketing, and other teams, including (but not limited to) basic statistical analysis, analytical dashboard creation and optimization, and preparing data for further analysis and research.Generating data insights and business recommendations based on the completed tasks.Conduct in-depth analysis and modeling to develop predictive insights and identify opportunities for revenue growth.Develop and maintain a deep understanding of our business, market trends, and emerging technologies related to analytics and business intelligence.Participate in the design and implementation of data architecture and data governance policies to ensure data accuracy and completeness.Working on data standardization and documentation.Communicating with stakeholders to understand their requirements and deliver results and recommendations.Develop and maintain relationships with key stakeholders and act as a strategic partner to drive business growth.Collaborate with other Analytics teams to develop and maintain data warehousing and analytics infrastructure.Manage and mentor junior analytics team members.RequirementsWho we are looking forBachelor's degree in a related field such as Business, Analytics, Statistics, or Computer Science. Master's degree preferred.Strong experience in analytics, business intelligence, or a related field.Good knowledge of probability theory and statistics, including A/B testing.Strong analytical skills and ability to work with complex data sets.Knowledge of data visualization tools such as Tableau or Power BI.Familiarity with SQL and relational databases.Basic knowledge and production experience with Python.Excellent communication skills and ability to collaborate effectively with cross-functional teams.Proven ability to manage multiple projects and priorities in a fast-paced environment.Experience with predictive modeling and other statistical analysis techniques.They say there are no perfect candidates, but that might well be you, ifYou have experience in product analytics.Excellent knowledge of advertising platforms.Experience working in a team of data developers or data analysts.Strong knowledge of key product and business metrics of SaaS companies.Strong knowledge of mathematics and statistics.Excellent proficiency in SQL.Good proficiency in Python.English language proficiency at the upper intermediate level or higher.Experience working in a SaaS company
