At a Glance
- Tasks: Drive innovative advertising solutions and collaborate with cross-functional teams to enhance marketing performance.
- Company: Join StackAdapt, a leading tech company revolutionising programmatic advertising.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and personal development support.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Shape the future of advertising technology while working with cutting-edge tools and talented teams.
- Qualifications: 3-5 years in technical analytics, strong Python and SQL skills, and a knack for problem-solving.
The predicted salary is between 54000 - 66000 £ per year.
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About StackAdapt’s Verticals and Performance Team: StackAdapt’s Verticals and Performance Team focuses on developing and leading strategic business technology initiatives within priority industries in order to strengthen our suite of programmatic adtech and martech solutions. We collaborate across Product, Engineering, Sales, and Analytics to design innovative, vertical-specific solutions that push the boundaries of programmatic advertising.
About the Role: The Senior Analyst, Verticals and Performance will work on projects and partnerships that will accelerate the development of vertical-specific advertising solutions and bring new innovations to market. This role blends technical problem-solving, data analysis, and business strategy, offering exposure at cross-functional teams and direct opportunities to shape the future of programmatic solutions. While the preferred location is London, we’re happy to consider candidates based outside of the city. However, please note that the Senior Analyst will be required to travel to London on an ad-hoc basis.
What You'll Be Doing:
- Support the team in executing the technical roadmap for Tier 1 projects, including the development, testing and maintenance of targeting and measurement solutions.
- Collaborate with Product, Revenue, Marketing, Business Intelligence, and Data Science teams to design, test, and iterate on vertical-focused initiatives.
- Troubleshoot technical issues (e.g. reporting discrepancies, data pipeline bugs) by analyzing datasets and working with technical teams to identify root issues and establish a path to resolution.
- Design and oversee experiments to validate hypotheses that drive measurable improvements in marketing performance.
- Contribute to analytics proof-of-concepts (POCs) with strategic clients; test and validate custom use cases to establish clear paths to productization.
- Define and track performance OKRs (e.g., data benchmarks, measurement accuracy, lower-funnel KPIs) and communicate strategic impact to senior internal stakeholders.
- Provide hands‑on support with ad‑hoc and daily operational tasks which include campaign reporting & measurement set.
What You’ll Bring To The Table:
- 3–5 years of experience in a technical analytics role (e.g., Systems Analysis, Data Science, Technical Product Management, Tech Consulting, or Data Analytics).
- Exceptional proficiency with Python and core data science libraries (e.g., NumPy, Pandas, Scikit-Learn) for advanced data manipulation, modeling, and workflow automation.
- Strong SQL Competency: Proven experience writing complex, optimized queries to extract and transform data from modern cloud data warehouses like Snowflake.
- Solid grounding in statistical analysis, predictive modeling, regression analysis, and rigorous A/B testing methodologies.
- A proven track record of independently managing strategic and operationally complex projects within cross-functional teams.
- Impeccable business judgment, along with an inclination to formulate hypotheses, design tests, and use problem-solving techniques to evaluate solutions.
- Strong verbal and written communication skills, comfortable presenting to senior stakeholders and external audiences.
- Prior experience or familiarity with marketing and advertising technology is a plus.
StackAdapt's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
About StackAdapt: We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded G2 Top Software for 2026, 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®, #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising.
Senior Analyst, Technical, Performance, and Verticals employer: StackAdapt
StackAdapt is an exceptional employer that champions a remote-first culture, offering a collaborative and inclusive environment for its employees. With competitive salaries, comprehensive health benefits from day one, and robust support for personal development, including access to training and certifications, StackAdapt empowers its team members to grow and thrive. The company's commitment to diversity and employee well-being, alongside exciting social events, makes it a fantastic place for Machine Learning Engineers looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst, Technical, Performance, and Verticals
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like StackAdapt.
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We think you need these skills to ace Senior Analyst, Technical, Performance, and Verticals
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at StackAdapt, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at StackAdapt. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at StackAdapt
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at StackAdapt!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
