Insights Analyst, Digital Inclusion

GSMA; Greater London; Hybrid; GBP 60,000 - GBP 80,000; Full time

Job summary

A global technology organization is seeking an Insights Analyst to support research projects that measure and address gaps in mobile access in lower-income countries. The ideal candidate will have a strong quantitative background and excellent analytical skills, along with experience in statistical software such as SPSS or Stata. This role requires excellent communication skills and the ability to work in diverse teams, contributing to meaningful impact in the field of digital inclusion.

Qualifications

• Strong quantitative background and analytical skills.
• Excellent communicator, able to simplify complex issues.
• Experience with large datasets and statistical software.

Responsibilities

• Support research projects on mobile access in LMICs.
• Generate frameworks and structured analysis from data.
• Work collaboratively in a diverse team environment.

Skills

Quantitative analytical skills

Excel skills

Statistical knowledge

Communication skills

Big data analysis tools (Python, R)

Cultural awareness

Tools

SPSS

Stata

Job description

**Location:**London (hybrid working) remains the primary – and often only – way people access the internet providing them access to life-enhancing opportunities but, access is unequal. Through a data-driven approach the Insights Analyst in the Digital Inclusion team will support research projects that measure and address gaps in mobile access and use across low- and middle-income countries (LMICs), particularly among women and the underserved. This role will suit someone with a strong quantitative background looking to gain experience in the international development sector. The Digital Inclusion team and the GSMA more broadly are diverse, energised and collaborative. The Insights Analyst will take a data-driven approach to answering questions and sharing insights about digital and financial inclusion in low- and middle-income countries. The role sits across both the Connected Women and Connected Society teams. Responsibilities will include: You will have a strong analytical and quantitative skillset and be enthusiastic about applying these skills in an international development role. Prior experience in international development, telecoms or consulting is valuable, but not essential. We welcome applications from individuals with the following demonstrated qualifications and skills: Excellent quantitative analytical skills, including the ability to generate frameworks and structured analysis from abstract requests Strong excel skills are essential Knowledge of statistics or econometrics, and experience using SPSS, Stata or similar statistical software, or a demonstrated ability to quickly and independently learn new analytical tools, is essential for the role Excellent communicator, able to express complex or commercial issues in plain language, without losing the important points. Fluent and compelling written and oral communications skills, particularly in English. Other language skills (especially French) are desirable, but not essential Experience working with extremely large datasets Either existing competency in big data analysis tools such as Python or R, or a demonstrated ability to quickly and independently learn new programming languages and analytical tools is desirableDemonstrated interest in or familiarity with the mobile for development sector and/or working in emerging markets (especially for mobile operators) is also desirable A team player, happy to work in a matrixed environment or large multi-disciplinary groups, to support and input into their work Excellent cultural awareness and a desire to work with teams around the world Experience of/genuine interest in both the commercial and social benefits that are presented by reducing gaps in mobile access and use The key skills for this role are: – It is essential to have excellent quantitative analysis skills, including the ability to generate frameworks and structured analysis from abstract requests. The Analyst must have experience working with very large datasets and be skilled in Excel and SPSS, or a similar big data analysis tool or statistical software (e.g., Python, R, Stata) with a demonstrated ability to quickly and independently learn new analytical tools. A knowledge of statistics or econometrics is essential as well. – The Analyst must be an excellent communicator, with a particularly strong ability to translate complex or commercial issues into plain language without losing important points of the message. Fluent and compelling written and oral communication skills in English are essential, and knowledge of another language (especially French) would be a plus. – The Analyst will need to have strong delivery skills – The Analyst must be a team player, happy to work in a matrixed environment or large multi-disciplinary group. Cultural awareness and an ability and desire to work with teams from across the world is important. We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact