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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 flexible working options 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 growth.
The predicted salary is between 36000 - 60000 £ 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.
Senior Data Scientist (12 Month FTC) employer: Depop
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, such as SQL and visualisation tools like Looker or Tableau. Being able to demonstrate your expertise in these areas during discussions will show that you're well-prepared for the role.
✨Tip Number 2
Prepare to discuss your experience in leading analytics on ambiguous strategic questions. Think of examples where you've successfully navigated uncertainty and provided clear insights to senior stakeholders, as this is a key aspect of the role.
✨Tip Number 3
Showcase your ability to build relationships across teams. Be ready to share instances where you've collaborated with finance or product teams to drive strategic decisions, as this will highlight your interpersonal skills and adaptability.
✨Tip Number 4
Demonstrate your proactive attitude by discussing how you've taken ownership of complex projects in the past. Highlight your problem-solving skills and how you've prioritised tasks to deliver impactful results, which aligns with the expectations of this role.
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, expertise in SQL, and experience with visualisation tools like Looker or Tableau.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the responsibilities and requirements outlined in the job description. Showcase your ability to communicate complex analyses to senior stakeholders and your experience in leading strategic projects.
Showcase Relevant Projects: Include examples of past projects where you successfully tackled ambiguous questions and provided actionable insights. Highlight your independence in managing these projects and your collaboration with cross-functional teams.
Prepare for Potential Questions: Anticipate questions related to your analytical methods and how you've handled data constraints in previous roles. Be ready to discuss your experience with Python and ETL scripts, as well as your approach to building relationships with stakeholders.
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
Be ready to share instances where you've worked independently on projects. Emphasise your ability to manage upwards and how you've successfully navigated challenges without constant supervision.
✨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 large datasets and visualisation.
