Data Analyst - Junior level
Tarmeez Capital · Riyadh governorate, Riyadh Region, Saudi Arabia
Financial Services · 51-200 employees
About the role
Analyze datasets to identify trends and build dashboards that influence business decision-making. Collaborate with stakeholders to define KPIs and translate analytical findings into clear insights for non-technical audiences.
What they look for
Requirements
Requires a Bachelor's degree in a quantitative field and at least one year of experience in a data or business analyst role. Proficiency in SQL and data visualization tools is essential, with a preference for Saudi Nationals.
Full description
About the Role
We are looking for a Data Analyst with at least one year of experience to join our growing Data & AI team at Tarmeez Capital.
In this role, you will work closely with product, business, and data stakeholders to analyze data, build dashboards, and generate insights that directly influence decision-making.
You’ll be responsible for transforming raw data into clear metrics, reports, and narratives, helping teams understand performance, identify opportunities, and measure impact across the organization.
Key Responsibilities
- Analyze datasets to identify trends, patterns, and actionable insights.
- Build and maintain dashboards and reports for business, product, and leadership teams.
- Partner with product and business stakeholders to define KPIs, metrics, and success criteria.
- Write efficient and reliable SQL queries to extract and transform data from data warehouses.
- Perform ad-hoc analysis to support product launches, experiments, and operational decisions.
- Validate data accuracy and collaborate with data engineers to improve data quality and reliability.
- Translate analytical findings into clear, concise insights for non-technical audiences.
- Support experimentation and performance analysis (e.g., funnels, cohorts, conversions).
Requirements
- Saudi National
- Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related field.
- 1+ year of experience in a data analyst, business analyst, or analytics-focused role.
- Strong proficiency in SQL for data analysis and reporting.
- Experience working with data visualization tools such as Metabase, Power BI, Tableau, or similar.
- Solid understanding of metrics, KPIs, and analytical best practices.
- Comfortable working with large datasets and multiple data sources.
- Strong analytical thinking and attention to detail.
- Ability to communicate insights clearly to both technical and non-technical stakeholders.
Preferred Skills
- Experience working with a data warehouse (e.g., Snowflake, BigQuery, Redshift).
- Basic knowledge of Python for data analysis (pandas, numpy).
- Familiarity with A/B testing, funnel analysis, or cohort analysis.
- Experience in fintech, finance, or investment-related analytics.
- Understanding of data modeling concepts and analytics engineering workflows (dbt is a plus).
Exceptions
All of the above can be ignored if you can demonstrate a proven record of exceptional work, through a GitHub portfolio, research, or deployed projects.
