At a Glance
- Tasks: Lead forecasting projects and deliver actionable insights in a collaborative team.
- Company: Join GSMA Intelligence, the go-to source for global mobile data and analysis.
- Benefits: Gain valuable experience in a dynamic environment with opportunities for growth.
- Other info: Work with cutting-edge technology and support junior analysts in their development.
- Why this job: Make an impact by turning complex data into clear forecasts and insights.
- Qualifications: Experience in forecasting, market analysis, and strong communication skills required.
The predicted salary is between 50000 - 60000 £ per year.
We’re looking for an experienced and commercially aware analyst who combines strong forecasting expertise with the ability to lead projects and support others within a collaborative team environment. This role is ideal for someone who enjoys turning complex industry developments into robust forecasts and actionable insight while helping drive the evolution of our modelling capabilities and data products.
About the Team
GSMA Intelligence is the definitive source of global mobile operator data, analysis and forecasts, providing industry-leading insight to operators, vendors, regulators, investors and technology companies worldwide. The Forecasting and Modelling team develops and maintains a comprehensive suite of forecasts covering mobile subscribers, network technologies, financial performance, IoT, fixed‑mobile convergence and emerging industry trends.
About the Role
As a Senior Analyst, you will take ownership of forecasting activities across a defined set of markets, technologies or strategic topic areas, ensuring the delivery of accurate, commercially relevant and forward‑looking industry forecasts. You’ll combine quantitative modelling with qualitative market analysis to explain industry developments and support both internal and external stakeholders.
Key responsibilities include:
- Lead smaller forecasting projects and workstreams, coordinating contributions from colleagues across data collection, research and modelling teams to deliver high‑quality outputs.
- Support the development of junior analysts through collaboration, guidance and knowledge sharing, maintaining consistency and analytical rigour across the team.
- Contribute to research reports, thought leadership and strategic initiatives linked to emerging industry developments such as next‑generation networks, AI‑enabled services, financial performance trends and evolving business models.
- Engage with stakeholders and help communicate complex insights in a clear and commercially meaningful way.
About You
You’ll bring experience in forecasting, modelling, market analysis or related analytical work, alongside a strong understanding of the mobile, telecoms or technology sectors. You’ll be comfortable working with large and complex datasets and able to combine quantitative analysis with commercial and strategic thinking.
Essential skills:
- Strong communication and stakeholder engagement skills to explain assumptions, challenge ideas constructively and present findings clearly to both technical and non‑technical audiences.
- Leadership and project management abilities to coordinate smaller projects or workstreams and support colleagues within a collaborative team environment.
- Proficiency in Excel and data analysis; experience with forecasting methodologies, financial analysis, telecoms datasets or statistical modelling tools is highly beneficial.
Contract Position type: Fixed Term Contract (Short Term Contractor). Worker type: Contingent Worker.
Senior Analyst, Mobile Forecasting and Modelling employer: GSMA
At GSMA Intelligence, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Analyst in Mobile Forecasting and Modelling, you will not only have the opportunity to lead impactful projects but also contribute to the growth of junior analysts, all while working with cutting-edge data in a dynamic industry. Our commitment to employee development, coupled with our position at the forefront of mobile technology insights, makes us an ideal place for those seeking meaningful and rewarding careers.
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We think this is how you could land Senior Analyst, Mobile Forecasting and Modelling
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We think you need these skills to ace Senior Analyst, Mobile Forecasting and Modelling
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at GSMA, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to GSMA, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab GSMA’s attention and show the tangible impact of your work.
How to prepare for a job interview at GSMA
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at GSMA.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at GSMA.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at GSMA.
