At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Role purpose:

Merchant Analyst will be responsible for extracting, analysing, and reporting merchant and channel performance data to support business decision-making. This role ensures accurate KPI tracking, provides commercial insights, and collaborates with cross-functional teams to drive growth and efficiency.

Responsibilities or duties

Key accountabilities and decision ownership:

• Own the design, execution, and optimization of SQL queries and BI reports to ensure robust data extraction and analysis.
• Guarantee accuracy and timeliness of merchant performance dashboards and KPIs to support business decision‑making.
• Translate data into actionable insights that influence commercial strategies and drive business growth.
• Manage reporting processes for merchant acquisition channels, commissions, payouts, and post‑campaign analysis.
• Oversee reward and recognition program reporting while collaborating with MIS and stakeholders to resolve data issues effectively

Qualifications or requirements (e.g., education, skills)

Core competencies, knowledge and experience

• Strong analytical thinking and problem‑solving skills with the ability to translate complex data into actionable insights.
• Advanced SQL expertise for query optimization and data extraction across multiple sources.
• Proven ability to design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or Looker.
• Commercial acumen and business‑oriented mindset to identify opportunities, performance gaps, and customer value drivers.
• Effective communication and collaboration skills to convey insights, resolve data issues, and support business cases.

Must have technical / professional qualifications:

• Bachelor’s degree in Statistics, Accounting, Actuarial Science, Data Science, Economics, or related field.
• Advanced SQL skills with query optimization expertise.
• Proficiency in BI tools such as Power BI, Tableau, or Looker.
• Solid grounding in data visualization and reporting best practices.
• Desirable: Knowledge of Python/R for advanced analytics and ETL/data warehousing processes.

Any other provided details (e.g., benefits, work environment, team info, or additional notes)

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

• Own the design, execution, and optimization of SQL queries and BI reports to ensure robust data extraction and analysis.
• Guarantee accuracy and timeliness of merchant performance dashboards and KPIs to support business decision‑making.
• Translate data into actionable insights that influence commercial strategies and drive business growth.
• Manage reporting processes for merchant acquisition channels, commissions, payouts, and post‑campaign analysis.
• Oversee reward and recognition program reporting while collaborating with MIS and stakeholders to resolve data issues effectively

• Strong analytical thinking and problem‑solving skills with the ability to translate complex data into actionable insights.
• Advanced SQL expertise for query optimization and data extraction across multiple sources.
• Proven ability to design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or Looker.
• Commercial acumen and business‑oriented mindset to identify opportunities, performance gaps, and customer value drivers.
• Effective communication and collaboration skills to convey insights, resolve data issues, and support business cases.
• Knowledge of Python/R for advanced analytics and ETL/data warehousing processes.

• Bachelor’s degree in Statistics, Accounting, Actuarial Science, Data Science, Economics, or related field.
• Advanced SQL skills with query optimization expertise.
• Proficiency in BI tools such as Power BI, Tableau, or Looker.
• Solid grounding in data visualization and reporting best practices.