Managing Consultant, Performance Analytics, Advisors & Consulting Services

Mastercard; Riyad Al Khabra; On-site; SAR 250,000 - 350,000; Full time

Job summary

A leading financial services company is seeking a Managing Consultant for Performance Analytics in Saudi Arabia. This role requires an experienced Data Analyst with a consulting background to partner with business leaders and deliver impactful analytics projects. The ideal candidate possesses strong skills in SQL, Python, and data visualization tools like Tableau and Power BI, as well as an understanding of the banking industry. Responsibilities include identifying challenges in Cards & Payments, analyzing data, and quantifying business impact. Attractive compensation structure offered.

Qualifications

• 5–8 years in banking/fintech analytics, preferably in cards/payments.
• Proven track record of delivering analytics projects with measurable impact.
• Familiarity with credit scoring and customer lifecycle analysis.

Responsibilities

• Identify business challenges in Cards & Payments portfolio.
• Extract, clean, and analyze data from various sources.
• Quantify revenue and cost savings from analytics projects.
• Act as a strategic advisor and mentor junior analysts.

Skills

Consulting mindset

Deep analytics expertise

Business ownership

Problem-structuring skills

Executive communication

Stakeholder management

Education

Bachelor’s or Master’s degree in relevant fields

Tools

SQL

Python

Tableau

Power BI

Excel

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Managing Consultant, Performance Analytics, Advisors & Consulting Services

Managing Consultant / Senior Data Analyst

About the Role

We are seeking an experienced Data Analyst with strong consulting and problem‑solving skills. This is not a “back‑office” analytics role – we need someone who can partner with business leaders, identify opportunities, and deliver end‑to‑end analytics use cases that drive measurable impact.

The ideal candidate

The ideal candidate – a consultant‑turned‑analyst or an analyst with consulting DNA, who possess the following skills:

• Consulting mindset (e.g., from MBB / Tier‑2 consulting, or equivalent problem‑solving background)
• Deep analytics expertise in banking industry (data wrangling, statistical modeling, visualization, A / B testing, campaign analysis, scoring / segmentation)
• Business ownership (ability to define problems, design solutions, quantify impact, and implement recommendations)

Key Responsibilities

1. Problem Identification & Solution Design

Proactively identify key business challenges and growth opportunities in the Cards & Payments portfolio (e.g., acquisition, activation, usage, cross‑sell, retention, credit risk, fraud).

Partner with stakeholders across product, risk, marketing, operations, and digital to frame hypotheses and define problem statements.

Translate strategic questions into structured analytics projects with clear success metrics.

2. Analytics Delivery

Extract, clean, and analyze data from multiple sources (transactional, credit bureau, digital channels, campaigns, etc.).

Build customer segmentation, predictive models, campaign targeting frameworks, and profitability analyses.

Design and evaluate experiments / A / B tests, measure business impact, and recommend scale‑up actions.

Deliver compelling storylines via presentations and dashboards (Tableau / PowerBI, SQL, Python, R).

3. Business Impact & Implementation

Quantify the incremental revenue, cost savings, or risk reduction from each analytics use case.

Partner with business units to implement solutions (e.g., optimized cross‑sell campaigns, card spend stimulation, improved credit line management).

Track performance post‑implementation and feed learnings back into strategy.

4. Thought Leadership & Capability Building

Act as a strategic advisor to card department leadership, not just a data provider.

Stay up‑to‑date on best practices in cards, payments, and advanced analytics.

Mentor junior analysts and contribute to building the analytics culture in the bank.

Qualifications

Education : Bachelor’s or Master’s degree in Economics, Business, Mathematics, Statistics, Computer Science, or related fields. MBA is a plus

Experience : 5–8 years in banking / fintech analytics (cards / payments preferred) and / or top consulting firm (MBB, Tier‑2) with exposure to financial services.

Proven track record of delivering analytics projects that generated measurable business impact.

Technical Skills : SQL, Python / Alteryx / SAS (for modeling & analysis), advanced Excel, PowerPoint

BI tools (Tableau, Power BI, Qlik).

Familiarity with credit scoring, segmentation, customer lifecycle analysis, and campaign effectiveness measurement

Experience with GenAI is a plus

Consulting & Business Skills :

Strong problem‑structuring, hypothesis‑driven thinking, and executive communication skills.

Ability to build business cases and present impact in financial terms.

Stakeholder management skills across senior levels

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must :

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.