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).
    
    

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    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.