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- Tasks: Transform data into insights to guide marketing and product decisions.
- Company: Ivee helps people return to work after career breaks with flexible job opportunities.
- Benefits: Enjoy 30 days annual leave, wellness perks, and a hybrid working model.
- Why this job: Join an innovative team and make a real impact on customer experience.
- Qualifications: Strong SQL skills and experience with product analytics tools required.
- Other info: Access mentorship and growth opportunities through our Academy.
The predicted salary is between 30000 - 60000 £ per year.
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ivee is exclusively for people returning to work after a career break in the UK
Please do not apply if you are outside the UK
Have you taken a career break and are looking to return to work? Are you struggling to find flexible jobs that fit around your family life/caregiving?
At ivee, we’re on a mission to help every person return to meaningful, flexible work after a career break. Our community provides upskilling, mentoring, and access to job opportunities with vetted flexible employers, so that you don\’t have to settle for less.
Press apply to express your interest in ivee and apply for one of our client roles on our platform:
Job Description:
We are looking for a Senior Data Analyst to join an innovative team focused on data and customer experience. In this role, you will turn raw behavioural and commercial data into actionable insights that help the Marketing, Trading, Product, and Retail teams make confident, data-driven decisions.
You will own end-to-end analysis: translating open-ended business questions into analytical briefs, conducting the analysis, and providing clear recommendations. Additionally, you will design experiments, create measurement frameworks, and collaborate across teams to ensure data-driven projects run smoothly.
What You’ll Be Doing:
- End-to-End Analysis: Translate business questions into analytical briefs, run the analysis, and provide clear recommendations.
- Experiment Design: Design A/B tests and causal inference studies (e.g., lift analysis, hold-out tests) and communicate results effectively.
- Measurement Frameworks: Define KPIs and develop measurement plans for new initiatives to ensure every launch has clear success metrics.
- Data Foundations: Work with Engineering teams to create accurate data sets, automate data checks, and ensure smooth data integration.
- Self-Serve Analytics: Develop and maintain live dashboards, document datasets, and provide training to enable self-service analytics across the company.
What We’re Looking For:
- SQL Expertise: Strong experience writing and optimizing queries, particularly in Snowflake, and comfortable working with large datasets.
- Product Analytics Tools: Proficiency in platforms such as Heap, Amplitude, or Mixpanel, with experience setting up events, funnels, and cohorts from scratch.
- Statistical Knowledge: A solid understanding of A/B testing, experiment design, and causal inference. You can identify when a result is actionable and meaningful.
- Measurement Mindset: Experience building tracking plans and KPI frameworks, allowing teams to measure success before launching new projects.
- Data Modelling: Experience modelling data in tools like dbt, automating data checks, and ensuring data accuracy as the data feeds scale.
Why Us?
- Flexible Working: Hybrid working arrangement with flexibility to work from home.
- Generous Benefits: 30 days annual leave, plus paid holidays for volunteering.
- Wellness & Perks: Free on-site gym, wellness area with saunas and ice baths, free therapy sessions, and private medical insurance for you and your loved ones.
- Growth Opportunities: Access to our Academy, mentorship from industry experts, and a paid Employee Referral Scheme.
- Work-Life Balance: Two weeks of remote work each year (summer and Christmas), and an electric car scheme with onsite charging.
Please press apply to access the full job description and apply for this role.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Analyst
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Industries
Technology, Information and Internet
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Senior Data Analyst employer: ivee | The return-to-work platform
Contact Detail:
ivee | The return-to-work platform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL and platforms such as Heap or Amplitude. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your experience with A/B testing and experiment design. Be ready to share examples of how you've successfully implemented these methodologies in past roles, as this is a key aspect of the Senior Data Analyst position.
✨Tip Number 3
Showcase your ability to translate complex data into actionable insights. Think of specific instances where your analysis led to significant business decisions, and be prepared to explain your thought process during the interview.
✨Tip Number 4
Network with current or former employees of the company, if possible. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the application process.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Analyst role. Focus on your SQL expertise, statistical knowledge, and any experience with product analytics tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your previous experiences have prepared you for this role. Mention specific projects where you've turned data into actionable insights.
Showcase Your Technical Skills: In your application, emphasise your proficiency in SQL, A/B testing, and data modelling. Provide examples of how you've used these skills in past roles to drive business decisions.
Highlight Flexibility and Collaboration: Since the role involves collaboration across teams, mention any experience you have working in cross-functional teams or adapting to flexible work environments. This will resonate well with the company's values.
How to prepare for a job interview at ivee | The return-to-work platform
✨Showcase Your SQL Skills
As a Senior Data Analyst, your SQL expertise is crucial. Be prepared to discuss specific projects where you've optimised queries or worked with large datasets, especially in Snowflake. Consider bringing examples of your work to demonstrate your proficiency.
✨Demonstrate Analytical Thinking
The role requires translating business questions into analytical briefs. During the interview, articulate your thought process when approaching complex problems. Share examples of how you've turned raw data into actionable insights for previous teams.
✨Discuss Experiment Design Experience
Since you'll be designing A/B tests and causal inference studies, be ready to explain your experience with these methodologies. Discuss any specific experiments you've designed, the outcomes, and how you communicated results to stakeholders.
✨Highlight Collaboration Skills
Collaboration across teams is key in this role. Prepare to share instances where you've worked with engineering or product teams to ensure smooth data integration or to develop measurement frameworks. Emphasise your ability to communicate effectively with non-technical colleagues.
