At a Glance
- Tasks: Leverage data to drive strategic decisions and optimise product performance.
- Company: Join a global leader in experience analytics with a vibrant, inclusive culture.
- Benefits: Enjoy flexible work options, generous time off, and stock options for all employees.
- Other info: Be part of a community that values mentorship, social events, and career development.
- Why this job: Make a real impact by shaping mobile strategy and driving data-driven insights.
- Qualifications: 5+ years in data analysis with strong skills in statistical analysis and visualisation tools.
The predicted salary is between 60000 - 75000 £ per year.
Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate.
As a Senior Product Data Analyst, you’ll leverage data to drive strategic decision-making and optimize product performance. Success in this position means delivering actionable insights that lead to measurable improvements in product KPIs and overall user satisfaction. This role is integral to our product team, ensuring data-driven decisions guide our product strategy and innovation efforts.
You’ll join the Product Insights department, composed of the Product Data Analytics team and Product Research team. In charge of having a 360 customer knowledge view, we combine quantitative and qualitative insights to inform the product roadmap.
You will be mainly responsible for supporting the Mobile product line to help define a data-driven roadmap that makes our Mobile offer superior to market solutions, and partner directly with the Director of Product. You will also support our Data Products line, on Integrations and Activation challenges. You will be reporting to the Data Analytics manager of this team.
What you’ll do:
- Partner directly with the Director of Product to shape long-term mobile strategy.
- Collaborate across product, engineering, customer success and marketing to break down silos, evangelize data-driven insights and drive cohesive progress on our global mobile strategy.
- Define and align core KPIs with business objectives to provide a clear framework for evaluating product success.
- Partner with Product Research to maintain an overview of the performance insights uncovered, identify remaining customer knowledge gaps and proactively influence roadmap decisions.
- Analyze user behavior and performance metrics to identify trends, resolve issues, and drive features that improve market competitiveness.
- Empower product teams with methodologies and tools to enable independent, data-driven decision-making.
- Partner with engineering teams to ensure the infrastructure supports robust, scalable data analysis.
What you’ll need to succeed:
- Proficiency in statistical analysis, data modeling, and data visualization.
- Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software).
- Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports.
- Capacity to identify issues, analyze root causes, and develop effective solutions.
- Ability to convey complex data insights clearly and effectively to non-technical stakeholders.
- Experience working in cross-functional teams, including product managers, engineers, and designers.
- Strong organizational skills and the ability to manage multiple projects simultaneously.
- 5+ years of experience as a data analyst or a similar data-focused role with a clear interest in going into product analytics.
Why you should join Contentsquare:
- We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits.
- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year.
- Work flexibility: hybrid and remote work policies.
- Generous paid time-off policy (every location is different).
- A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work.
- Every full-time employee receives stock options, allowing them to share in the company’s success.
- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts.
Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Senior Product Data Analyst employer: Contentsquare
At Contentsquare, we pride ourselves on being an exceptional employer that champions career development and fosters a vibrant work culture. Our inclusive environment encourages collaboration and innovation, while our generous benefits—including flexible work arrangements, competitive paid time off, and stock options—ensure that every team member feels valued and empowered to thrive. Join us in our mission to simplify digital experiences and make a meaningful impact in the world of experience analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Contentsquare!
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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 Contentsquare.
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We think you need these skills to ace Senior Product Data Analyst
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 Contentsquare, 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 Contentsquare. 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 Contentsquare
✨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 Contentsquare!
✨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.
