Data Analyst - Junior level

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.

• 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).

• 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.

• Experience working with a data warehouse (e.g., Snowflake, Big Query, 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).

All of the above can be ignored if you can demonstrate a proven record of exceptional work
, through a Git Hub portfolio, research, or deployed projects
.