Product Sales Data Analytics Specialist
Listed on 2026-05-31
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Are you ready to be part of something big? We’re hiring for the Product Sales Data Analytics Specialist on our Sales Team! In this role, you’ll engage with key decision-makers, forge impactful relationships with some of the world’s most influential organizations, and directly contribute to the growth of Semrush.
Job OverviewWe are hiring a Data Analytics Specialist to support end-to-end analytics initiatives that turn complex search, AI, clickstream, web, and advertising datasets into clear, actionable insights. You will contribute to data pipelines, build analytical models, develop dashboards, and translate findings into practical recommendations for internal teams and clients. You will work closely with product, marketing, engineering, and client-facing teams to deliver high-quality analytics outputs.
Key Responsibilities Data Engineering and Processing- Contribute to the design and maintenance of ETL/ELT pipelines using Big Query, Google Cloud Storage, and AWS S3.
- Apply data modeling best practices and support performance optimization for large datasets.
- Assist in monitoring data quality, freshness, and pipeline reliability.
- Build client-facing and internal dashboards in Looker Studio, Looker, Tableau, or similar.
- Ensure dashboards meet performance and data freshness expectations.
- Produce clear, concise reports that translate analytics into actionable recommendations.
- Create client-facing and internal dashboards in Looker Studio, Looker, Tableau, or similar; design visual frameworks that surface the right decisions.
- Ensure dashboards meet performance, accessibility, and data freshness SLAs.
- Produce concise, story-driven research reports and executive summaries that translate analytics into prioritized recommendations.
- Work with cross-functional teams to clarify requirements and deliver analytics aligned to business needs.
- Present findings to non-technical audiences in a structured, accessible way.
- Support senior analysts and data leads on larger initiatives and client engagements.
- 2–4+ years of experience in analytics, data science, or data engineering.
- Hands-on experience with Google Big Query and Google Cloud Storage; familiarity with AWS S3.
- Strong SQL and Python skills.
- Experience building dashboards in Looker Studio, Looker, Tableau, or similar.
- Ability to translate analytical findings into clear narratives for non-technical stakeholders.
- Demonstrated experience delivering analytics that support business decisions.
- Data modeling and transformation experience.
- Workflow orchestration tools (Airflow, Cloud Composer, or equivalent).
- Experience with model deployment and monitoring.
- Familiarity with advertising, clickstream, or digital behavior datasets.
- Unlimited PTO
- Low cost medical, dental, and vision plans
- Life insurance
- Accidental death and dismemberment (AD&D) insurance
- Dependent Care Savings Accounts and Flexible Spending Accounts
- Health Savings Account
- Short-term and long-term Disability
- Employee Assistance Program
- Employee Resource Groups
- 401(k) plan
- Paid parental leave
- Relief Fund
- Travel coverage
- Corporate events
- Team building
- Snacks, drinks at the office
Semrush is an equal opportunity employer. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.
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