data analyst

Semrush is a brand visibility platform that empowers marketers to command their online presence and create measurable impact. It provides AI-driven insights across SEO, content marketing, paid media, and social strategy, utilizing an expansive proprietary dataset to help brands improve their search visibility.

• Pull, clean, and validate clickstream and DaaS datasets to answer external and internal-facing questions about consumer and digital behavior;
• Create and maintain a library of data‑driven sales enablement assets like industry benchmarks, usage trends, and ROI narratives;
• Support joint reports and external studies with partners and publications by managing data pulls, methodology, and result validation;
• Produce fast, accurate data pulls for media opportunities, journalist requests, and reactive commentary;
• Build analytical outputs for recurring content programs, including quarterly trend reports and topical studies on search, AI, and online behavior;
• Identify notable patterns, shifts, and story angles in large datasets and explain their significance to non-technical stakeholders;
• Help create repeatable methodologies and QA standards for consistent, defensible, and scalable external data stories;
• Support spokesperson and executive visibility efforts by supplying data-backed evidence for articles, commentary, and thought leadership;
• Maintain high standards for accuracy, documentation, and responsible interpretation of proprietary data.

• 1-3 Years of experience in a data analyst, insights analyst, or marketing analytics role in a digital, SaaS, media, or fast-paced tech environment;
• Strong SQL, Python, and spreadsheet skills with the ability to extract, clean, and QA large datasets efficiently;
• Comfort or interest in working with behavioral, clickstream, or large digital datasets;
• Ability to move from raw analysis to storytelling with judgment on what is relevant for external audiences;
• Clear English written and verbal communication skills;
• Strong attention to detail and commitment to data integrity, methodology, and defensibility;
• Collaborative working style with an interest in partnering with Product Marketing, Content, Design, and Communications;
• Nice to have: Hands-on experience using GitHub for version control, degree in Statistics, Economics, Mathematics, Data Analytics, Marketing, or a related field, experience with data visualization tools such as Looker, Tableau, or Power BI.

• Unlimited PTO;
• Hobby and team building budget allowance;
• Employee Support Program;
• Loss of family member financial aid;
• Employee Resource Groups.