At a Glance
- Tasks: Partner with the Director of Product to shape mobile strategy and drive data-driven insights.
- Company: Join a forward-thinking tech company that values collaboration and innovation.
- Benefits: Enjoy flexible work options, generous time off, and career development opportunities.
- Other info: Be part of a diverse team with a culture of support and growth.
- Why this job: Make a real impact by influencing product decisions with your analytical skills.
- Qualifications: 5+ years in data analysis with strong skills in SQL, Tableau, and communication.
The predicted salary is between 60000 - 75000 £ per year.
Responsibilities
- Executive Partnership: Partner directly with the Director of Product to shape long-term mobile strategy.
- Drive Mobile Strategy Alignment: Collaborate across product, engineering, customer success and marketing to break down silos, evangelise data-driven insights and drive cohesive progress on our global mobile strategy.
- Establish Product Frameworks: Define and align core KPIs with business objectives to provide a clear framework for evaluating product success. Ensure these are coherent and linked to our overall company strategy and OKRs.
- 360-Degree Insights: Partner with Product Research to maintain an overview of the performance insights uncovered, identify remaining customer knowledge gaps and proactively influence roadmap decisions.
- Advanced Product Analytics: Analyse user behaviour and performance metrics to identify trends, resolve issues and drive features that improve market competitiveness.
- Foster Data Culture: Empower product teams with methodologies and tools to enable independent, data-driven decision-making.
- Data Collaboration: Partner with engineering teams to ensure the infrastructure supports robust, scalable data analysis.
Qualifications
- Proficiency in statistical analysis, data modelling, and data visualisation.
- Ability to interpret complex data sets and translate findings into actionable insights.
- Experience with data analysis, data modelling and visualisation tools (SQL, DBT, Excel, Tableau, or similar software).
- Expertise in creating advanced data visualisations that effectively communicate complex insights to a broad audience, including dashboards and interactive reports.
- Capacity to identify issues, analyse root causes, and develop effective solutions.
- Ability to approach problems methodically and think critically.
- Meticulous in analysing data and ensuring accuracy.
- Ability to validate findings thoroughly and maintain high standards in data integrity and reporting.
- Ability to convey complex data insights clearly and effectively to non-technical stakeholders.
- Strong written and verbal communication skills for reporting and presentations.
- Experience working in cross-functional teams, including product managers, engineers, and designers.
- Ability to build relationships and influence stakeholders at all levels of the organisation.
- Strong organisational skills and the ability to manage multiple projects simultaneously.
- Experience with project management tools and methodologies.
- Understanding of business strategy and how data-driven insights can support and enhance product and business goals.
- Ability to align data analysis with business objectives.
- 5+ years of experience as a data analyst or a similar data-focused role with a clear interest in going into product analytics.
Benefits
- 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).
- Lifestyle allowance.
- 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.
- 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.
- And more benefits tailored to each country.
Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Analyst in London
✨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!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Product Data Analyst at Contentsquare.
✨Leverage Professional Networks
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 in London
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.
