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- Tasks: Lead strategic analysis and company reporting while collaborating with senior stakeholders.
- Company: Join a dynamic team focused on data-driven decision-making and user experience.
- Benefits: Enjoy a flexible work environment and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems and driving strategic decisions.
- Qualifications: Strong analytical skills, SQL expertise, and experience with visualisation tools required.
- Other info: This is a 12-month fixed-term contract role with potential for future opportunities.
The predicted salary is between 43200 - 72000 £ per year.
This is a 12 month fixed term contract role. The strategy analytics team works closely with strategy, strategic finance and executive stakeholders to support on strategic projects and company level reporting. This includes leading on company level metrics, translating ambiguous strategic questions into practical analysis and communicating these results to a senior set of stakeholders. This is to ensure that the management team has a strong basis of understanding of company performance based on data. It is also to ensure we are able to make accurate and timely forecasts of company performance and be able to explain deviations in a structured way. Finally, it is to ensure that senior stakeholders are supported with their strategic questions with well articulated analysis. These are all in the support of making the best strategic decisions to enable the company to deliver on user experience and business goals.
This role requires a high level of independence and working directly with senior stakeholders to solve challenging strategic problems. Expertise in choosing the right method from a broad set of analytical methods under the constraints of time and data availability is crucial.
Responsibilities- Strategic Analysis: work closely with the S&O, Strategic Finance and Exec teams to lead analytics on ambiguous strategic questions with a high level of independence, including supporting special projects. This will sometimes require expansion of responsibilities into new domains and supporting new growth opportunities and/or cross functional teams.
- Lead company level reporting: lead on executing the monthly and quarterly company level reporting. This will require a combination of building core Looker and Slide outputs as well as efficient short deep dives into key trends, risks and opportunities.
- Finance team support: be a go-to contact in the Insights team for the finance team.
- Collaborate with product teams: this role will likely require adaptability to work directly with product teams to help with discrete analysis.
- Exemplary problem solving skills, with particular strength in creating meaningful analysis from ambiguous questions.
- Strong competency in verbal and written communication of results to a wide variety of stakeholder levels.
- A high degree of independence and ability to manage upwards to senior stakeholders.
- Ability to build relationships across a wide range of stakeholder teams and leverage their knowledge to answer higher level strategic questions.
- Thrives when working across multiple projects.
- Aptitude and resourcefulness to work in new domains.
- Expertise in SQL and the ability to work with large datasets.
- Expertise in visualisation tools like Looker or Tableau.
- Experience in Python and command over ETL scripts.
- Deep commercial awareness and a proactive attitude to make a difference and drive impact.
- Demonstrates ownership over more complex projects and expertise in prioritising their own work.
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (12 Month FTC)
✨Tip Number 1
Familiarise yourself with the specific analytical methods mentioned in the job description. Brush up on your SQL skills and ensure you're comfortable working with large datasets, as this will be crucial for the role.
✨Tip Number 2
Develop a strong understanding of Looker or Tableau, as these visualisation tools are essential for the reporting aspect of the job. Consider creating sample dashboards to showcase your skills during interviews.
✨Tip Number 3
Practice articulating complex analyses in a clear and concise manner. Since you'll be communicating with senior stakeholders, being able to simplify data insights will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the field of data science and analytics. Engaging with others can provide insights into the company culture and expectations, which can be beneficial when tailoring your approach during the interview process.
We think you need these skills to ace Senior Data Scientist (12 Month FTC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Scientist role. Emphasise your problem-solving abilities, experience with SQL, and any work with visualisation tools like Looker or Tableau.
Craft a Compelling Cover Letter: In your cover letter, address how your background and expertise make you a perfect fit for the role. Discuss specific examples of how you've tackled ambiguous strategic questions and communicated results to senior stakeholders.
Showcase Your Analytical Skills: Provide examples in your application that demonstrate your analytical skills and independence. Highlight any projects where you led analytics or supported strategic decisions, especially those involving large datasets.
Prepare for Potential Questions: Anticipate questions related to your experience with cross-functional teams and your approach to solving complex problems. Be ready to discuss how you would handle specific scenarios relevant to the role during an interview.
How to prepare for a job interview at Depop
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've tackled ambiguous strategic questions in the past. Highlight your problem-solving skills and the analytical methods you employed to derive meaningful insights.
✨Communicate Effectively
Since this role involves communicating results to senior stakeholders, practice articulating complex data findings in a clear and concise manner. Tailor your communication style to suit different audience levels.
✨Demonstrate Independence and Initiative
Be ready to share instances where you've worked independently on projects. Emphasise your ability to manage upwards and how you've taken ownership of complex tasks or analyses.
✨Familiarise Yourself with Tools
Brush up on your SQL, Looker, and Python skills before the interview. Be prepared to discuss how you've used these tools in previous roles, especially in relation to handling large datasets and creating visualisations.
