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- Tasks: Develop data pipelines and support analytics for sales and marketing operations.
- Company: Join Semrush, a global leader in online marketing technology with over 118,000 customers.
- Benefits: Enjoy flexible hours, unlimited PTO, corporate events, and employee support programs.
- Why this job: Make a meaningful impact while working with top brands like Tesla and Amazon.
- Qualifications: 5+ years in BI Engineering or Data Engineering; strong SQL and Python skills required.
- Other info: Diversity and inclusion are core values; all backgrounds are encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to be part of something big? We\’re hiring for the Sales Analytics Engineer (Sales Operations BI and Analytics Team) 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.
Why Semrush?
We are a global leader in online marketing technology, meeting market demand with rapid scaling. Don\’t miss the chance to join our unstoppable momentum and make history with us!
Some highlights of our success include:
- Semrush named a Leader in The Forrester Wave: Search Engine Optimization Solutions, Q3 2025
- $400M+ Annual Recurring Revenue
- 118,000+ paying customers worldwide
- 1M+ freemium users
- Exceptional demand for our new Enterprise platform, with deals secured from global giants like P&G, Tesla, FedEx, Samsung, Amazon, and others.
If you\’re looking for a role where your impact will be visible and meaningful, we\’d love to hear from you.
Tasks in the role
- Develop and maintain reliable, scalable data pipelines using DBT , SQL , and cloud-native tools (primarily GCP ).
- Serve as the technical point of contact for RevOps analysts, enabling efficient, trustworthy access to core datasets and models.
- Partner with Central BI and Engineering to align on data architecture, semantic models, and platform improvements.
- Build and optimize governed, performant data resources that support advanced analytics across sales and marketing operations.
- Architect and implement revenue data models that span the GTM funnel-from leads to bookings.
- Design and maintain attribution models , enabling accurate multi-touch performance reporting across campaigns and channels.
- Support full-funnel forecasting models , partnering with stakeholders to ensure alignment between pipeline, target-setting, and actuals.
- Integrate external data sources via APIs and automation workflows.
- Use Python for data processing, workflow automation, and regression modelling
- Champion best practices in testing, documentation, observability, and reusability.
- Lay the groundwork for AI-driven analytics , helping RevOps adopt intelligent tooling, embedded insights, and automated recommendations.
What we\’re looking for
Minimum Qualifications
- 5+ years of experience in BI Engineering, Data Engineering, or technical analytics roles.
- Strong proficiency in SQL and DBT with production-level experience building transformation layers.
- Solid Python skills for scripting, data pipelines, and automation.
- Experience working in cloud data platforms, preferably GCP (BigQuery, Cloud Functions, Composer, etc.).
- Comfortable working with REST APIs and integrating external data sources.
- Proven success enabling analysts or data consumers through well-designed and well-documented data infrastructure.
- Understanding of AI/ML fundamentals , and how to support analytics maturity toward intelligent automation.
Preferred Qualifications
- Bachelor\’s degree in a technical field such as Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
- Experience in or adjacent to Revenue Operations , SalesOps, or MarketingOps.
- Familiarity with GTM funnel metrics and performance attribution.
- Experience working with BI platforms (e.g., Tableau) from a data modeling and enablement perspective.
- Exposure to AI tooling or ML-based analytics , such as LLMs, embedded agents, or predictive reporting systems.
A bit about the team
The Sales team is at the forefront of empowering businesses to achieve online visibility and digital marketing success.
Through our One Semrush selling approach and world-class enablement programs , we equip our team with the tools, resources, and training needed to:
- Exceed sales goals
- Maximize earning potential
- Deliver meaningful results for our clients
To learn more about our business and vision, explore the Semrush Analyst Day 2024 presentation from New York City.
What\’s in it for you
- Flexible working hours
- Unlimited PTO
- Flexi Benefit for your hobby
- Employee Support Program
- Loss of family member financial aid
- Employee Resource Groups
- Meals, snacks, and drinks at the office
- Corporate events
- Teambuilding
- Training, courses, conferences
- Gifts for employees
A little more about our company
Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.
We\’ve been developing our product for 16 years and have been awarded G2\’s Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.
10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,700 people around the world are working on its development. The Semrush team is constantly growing.
Our Diversity, Equity, and Inclusion commitments
Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don\’t 100% match all requirements, don\’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.
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, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.
Our new colleague, we are waiting for you!
Jane Megrian
Recruiter
evgeniia.megrian@semrush.com content_copy Copy
At Semrush, we take a serious and comprehensive approach to hiring new people. We welcome those who are professionals in their field and passionate about their work to join our team.
A \”five-minute interview\” or \”get a job in three clicks\” approach is not the way we work.
During the interview, we ask candidates to talk about themselves and their background in detail. We try to discover the most important aspects about the way someone works and their personality before a job offer is made. #J-18808-Ljbffr
Sales Analytics Engineer (Sales Operations BI and Analytics Team) employer: Semrush
Contact Detail:
Semrush Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Analytics Engineer (Sales Operations BI and Analytics Team)
✨Tip Number 1
Familiarise yourself with the tools and technologies mentioned in the job description, especially DBT, SQL, and GCP. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with current employees or professionals in the Sales Analytics field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and automation workflows. Be ready to share specific examples of how you've optimised processes in previous roles, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Stay updated on trends in AI and machine learning, particularly how they relate to analytics. Being able to discuss recent advancements or tools in this area can show your enthusiasm for the role and your commitment to continuous learning.
We think you need these skills to ace Sales Analytics Engineer (Sales Operations BI and Analytics Team)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in BI Engineering, Data Engineering, and technical analytics roles. Emphasise your proficiency in SQL, DBT, and Python, as well as any experience with GCP and REST APIs.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or achievements that demonstrate your ability to develop and maintain data pipelines and support advanced analytics.
Showcase Relevant Skills: Clearly outline your skills related to data architecture, semantic models, and revenue data modelling. Provide examples of how you've successfully enabled analysts through well-designed data infrastructure.
Highlight Continuous Learning: Mention any ongoing education or training in AI/ML fundamentals or related fields. This shows your commitment to staying updated with industry trends and your readiness to contribute to intelligent automation.
How to prepare for a job interview at Semrush
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, DBT, and Python during the interview. Be prepared to discuss specific projects where you've built data pipelines or worked with cloud platforms like GCP, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with Semrush's products and their impact on online marketing. Being able to articulate how your role as a Sales Analytics Engineer contributes to the company's success will impress the interviewers and show your genuine interest in the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work with cross-functional teams. Think of examples where you've collaborated with analysts or stakeholders to improve data infrastructure or analytics processes, as these experiences are crucial for the role.
✨Demonstrate Your Passion for Data
Convey your enthusiasm for data analytics and how it drives business decisions. Discuss any personal projects or continuous learning efforts related to AI/ML or advanced analytics, as this aligns with the company's focus on intelligent automation and innovation.