Revenue Operations Specialist

agilegrid solutions; Saudi Arabia; Hybrid; SAR 120,000 - 210,000; Full time

Benefits offered by this job

Competitive salary package

Health insurance

Professional development

Flexible working hours

Remote work options

Inclusive and collaborative culture

Wellness programs

Job summary

Tabby seeks a Data Analyst to analyze large datasets and extract actionable insights to drive strategic decisions across product, marketing, risk, and engineering.

You will build dashboards, collaborate with cross-functional teams, and contribute to fraud detection, credit scoring, and customer segmentation initiatives. The role offers flexible hours and remote work options within a fast-growing fintech environment.

Qualifications

• Bachelor’s degree in data-related field (Data Science, Statistics, CS, Economics) or equivalent.
• 2+ years of data analysis experience, preferably in fintech/e-commerce.
• Proficiency in SQL, Python, R or equivalent data-analysis languages.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication to present complex insights clearly to stakeholders.
• Knowledge of data governance, privacy standards, and security best practices.

Responsibilities

• Collect, clean, and analyze large datasets to identify trends and insights that support business objectives.
• Create and maintain dashboards and reports to monitor KPIs across departments.
• Collaborate with product, marketing, and risk teams to develop data-driven strategies.
• Perform ad-hoc analyses to support new initiatives and optimizations.
• Ensure data accuracy, integrity, and security in analysis activities.
• Assist in developing predictive models for fraud detection, credit scoring, and segmentation.
• Stay updated with industry trends and fintech innovations.

Skills

Analytical thinking

Attention to detail

Communication skills

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field

Master’s degree as a plus

Tools

SQL

Python

R

Tableau

Power BI

Looker

Job description

About The Company

Tabby | تابي is a leading innovative fintech company dedicated to transforming the way consumers and merchants engage with digital payments. With a mission to promote financial inclusion and provide flexible payment solutions, Tabby offers a seamless and secure platform that empowers customers to shop now and pay later across a wide range of retail partners. Established with a focus on technology-driven solutions, the company leverages cutting-edge financial technology to enhance the shopping experience, foster economic growth, and support merchants in expanding their customer base. Committed to excellence and innovation, Tabby is continuously expanding its services across new markets, aiming to become a trusted leader in the digital payment ecosystem.

About The Role

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team at Tabby. In this role, you will be responsible for analyzing large datasets to extract actionable insights that drive strategic decision-making. You will collaborate closely with cross-functional teams including product, marketing, risk, and engineering to develop data-driven solutions that improve our services and customer experience. The ideal candidate will possess strong analytical skills, a passion for data, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders. This position offers an exciting opportunity to contribute to a rapidly growing fintech company and make a tangible impact on our business operations and growth strategies.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field. A master’s degree is a plus.
• Proven experience (2+ years) in data analysis, preferably within the fintech or e-commerce sectors.
• Proficiency in SQL, Python, R, or other data analysis tools and programming languages.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, with the ability to present complex data insights clearly and effectively.
• Knowledge of data governance, privacy standards, and security best practices.

Responsibilities

• Collect, clean, and analyze large datasets to identify trends, patterns, and insights that support business objectives.
• Create and maintain dashboards and reports to monitor key performance indicators across various departments.
• Collaborate with product, marketing, and risk teams to develop data-driven strategies and solutions.
• Perform ad-hoc analyses to support new initiatives, product launches, and optimization efforts.
• Ensure data accuracy, integrity, and security in all analysis activities.
• Assist in developing predictive models and algorithms to enhance fraud detection, credit scoring, and customer segmentation.
• Stay updated with the latest industry trends and best practices in data analysis and fintech innovations.

Benefits

• Competitive salary package commensurate with experience and skills.
• Health insurance coverage for employees and their dependents.
• Opportunities for professional development and continuous learning.
• Flexible working hours and remote work options to promote work-life balance.
• Inclusive and collaborative work environment fostering innovation and growth.
• Participation in company events, team-building activities, and wellness programs.

Equal Opportunity

Tabby | تابي is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, age, sexual orientation, or any other protected characteristic. Our hiring decisions are based solely on qualifications, skills, and experience, ensuring a fair and equitable process for all candidates.