Data Analytics Manager (App & Retention ) 12 Months FTC

Data Analytics Manager (App & Retention ) 12 Months FTC

Full-Time 36000 - 60000 Β£ / year (est.) Home office (partial)
myGwork

At a Glance

  • Tasks: Lead data-driven strategies to enhance app performance and user retention.
  • Company: Join Skyscanner, a diverse employer committed to inclusivity and innovation.
  • Benefits: Enjoy flexible working options and a vibrant company culture.
  • Other info: This is a 12-month fixed-term contract with opportunities for growth.
  • Why this job: Be part of a dynamic team that values data and drives impactful decisions.
  • Qualifications: Experience in analytics, strong communication skills, and proficiency in SQL required.

The predicted salary is between 36000 - 60000 Β£ per year.

This job is with Skyscanner, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

About the role:

At Skyscanner, we pride ourselves on letting the data lead decisions, and we need people passionate about using data to drive strategic decision making and accelerating the Skyscanner flywheel. We have an exciting opportunity for someone who is excellent at solving sophisticated business problems using data, to join our centralised Analytics team as a Manager for App & Retention Analytics. In this role, you will operate as an Individual contributor and partner closely with our App and Loyalty teams, as well as our App & Retention Analytics team lead, to accelerate app acquisition, engagement, and user retention. You'll focus on understanding the key drivers of app performance, conducting in-depth user behaviour analysis to identify and quantify optimisation opportunities that drive logins, repeat visits and lifetime value (LTV). You'll also guide the design, implementation, and measurement of A/B tests to support continuous product improvement.

Stakeholder Management:

  • Act as a trusted partner for senior stakeholders, primarily in Marketing, to drive alignment and deliver actionable insights.
  • Build strong relationships across the organization to influence decision-making and champion a data-first mindset.

Strategy and Insights:

  • Drive the definition and evolution of key business metrics to ensure alignment with strategic objectives.
  • Use data-driven insights to identify growth opportunities, inform strategy formulation, and shape product roadmaps.
  • Oversee App or loyalty feature product experimentation efforts, ensuring robust methodologies and clear insights to guide decision-making.

Performance Reporting and Business Impact:

  • Drive high-quality performance evaluations (focused on App and Retention), joining dots end to end (funnel analysis) and ensuring the business has clear understanding of the key factors impacting performance.
  • Collaborate with cross-functional teams to identify trends, uncover opportunities, and recommend actions to optimize performance.

What experience will you bring?

  • Strong track record with experience in analytics and insights (preferably App analytics).
  • Strong stakeholder engagement and communication skills, with the ability to build relationships and influence decision-making - particularly when working with cross-functional teams such as Marketing, Product, and Engineering.
  • Excellent communication and interpersonal skills to collaborate effectively across diverse teams.
  • Ability to manage complexity, navigate ambiguity, and prioritize effectively in a fast-paced environment.

Technical and Analytical Skills:

  • Strong analytical skills with the ability to explore complex datasets, apply a range of techniques (e.g. funnel analysis, trend analysis, cohort analysis), and translate data into clear, actionable insights that inform strategy and drive business decisions.
  • Strong SQL skills with experience querying large-scale datasets and hands-on experience with analytics platforms such as Databricks is a plus.
  • Proficiency in data visualisation tools like Tableau (or similar) to build clear, scalable dashboards and performance reporting.
  • Familiarity with experimentation methods (e.g. A/B testing), including understanding of test design and interpreting results, though deep experimentation knowledge is not required.

Data Analytics Manager (App & Retention ) 12 Months FTC employer: myGwork

At Skyscanner, we foster a vibrant and inclusive work culture that champions diversity and innovation, making it an exceptional employer for those passionate about data-driven decision-making. Our commitment to employee growth is evident through collaborative opportunities with cross-functional teams and a focus on continuous learning, all set against the backdrop of a dynamic tech environment in Edinburgh. Join us to not only advance your career but also contribute to shaping the future of travel technology in a supportive and engaging atmosphere.

myGwork

Contact Details:

myGwork Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Analytics Manager (App & Retention ) 12 Months FTC

✨Tip Number 1

Familiarise yourself with Skyscanner's app and retention strategies. Understanding their current approach will help you speak knowledgeably about how you can contribute to their goals during interviews.

✨Tip Number 2

Network with current or former employees of Skyscanner, especially those in analytics or related roles. They can provide insights into the company culture and expectations, which can be invaluable for your application.

✨Tip Number 3

Brush up on your SQL and data visualisation skills. Being able to demonstrate your technical proficiency in these areas during discussions will set you apart from other candidates.

✨Tip Number 4

Prepare examples of how you've successfully influenced decision-making through data insights in previous roles. This will showcase your stakeholder management skills and your ability to drive a data-first mindset.

We think you need these skills to ace Data Analytics Manager (App & Retention ) 12 Months FTC

Strong Analytical Skills
Data Exploration Techniques
Funnel Analysis
Trend Analysis
Cohort Analysis
SQL Proficiency
Experience with Large-Scale Datasets

Some tips for your application 🫑

Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Data Analytics Manager position. Tailor your application to highlight your relevant experience in analytics, stakeholder management, and technical skills.

Craft a Tailored CV:Your CV should reflect your experience in app analytics and your ability to drive strategic decision-making through data. Use specific examples that demonstrate your analytical skills and successful stakeholder engagement.

Write a Compelling Cover Letter:In your cover letter, express your passion for data-driven decision-making and how your background aligns with Skyscanner's goals. Highlight your experience with A/B testing and performance reporting, and explain how you can contribute to their App & Retention Analytics team.

Review and Edit:Before submitting your application, thoroughly review all documents for clarity and accuracy. Ensure there are no typos or grammatical errors, and that your application presents a professional image.

How to prepare for a job interview at myGwork

✨Showcase Your Analytical Skills

Prepare to discuss specific examples of how you've used data to solve complex business problems. Be ready to explain your thought process and the techniques you employed, such as funnel analysis or cohort analysis.

✨Demonstrate Stakeholder Engagement

Highlight your experience in building relationships with cross-functional teams. Share examples of how you've influenced decision-making and driven alignment with stakeholders, particularly in Marketing or Product.

✨Familiarise Yourself with A/B Testing

Even if deep experimentation knowledge isn't required, understanding the basics of A/B testing will be beneficial. Be prepared to discuss any past experiences with test design and interpreting results.

✨Prepare for Technical Questions

Brush up on your SQL skills and be ready to discuss your experience with analytics platforms like Databricks. You may be asked to demonstrate your ability to query large datasets or create dashboards using data visualisation tools.