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Program Analyst (Saudi Arabia)

Eram Talent

Al Khobar

On-site

SAR 60,000 - 80,000

Full time

Today
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Job summary

A recruitment firm is looking for a Data Program Analyst in Al Khobar, Saudi Arabia. The role involves analyzing and managing data programs to support decision-making and operational efficiency. Key responsibilities include collecting and maintaining data, supporting program managers in executing activities, and developing dashboards to track key performance indicators. Candidates should possess a bachelor's degree and have 2-4 years of relevant experience. Strong analytical and communication skills are essential, along with proficiency in SQL and data visualization tools.

Qualifications

  • 2–4 years of professional experience in data analysis or program management support.
  • The ability to manage datasets with a high level of accuracy.
  • Fluency in English required; proficiency in Arabic is an advantage.

Responsibilities

  • Collect and maintain accurate data from participating startups.
  • Support program managers in planning and executing activities.
  • Build and maintain dashboards to track KPIs and startup metrics.
  • Proactively follow up with founders for timely data submission.

Skills

Data analysis
SQL
Data visualization tools
Excel
Communication skills
Problem-solving skills
Attention to detail

Education

Bachelor's degree in Business, Economics, Data Science, or a related field

Tools

Power BI
Tableau
Job description

Eram Talent is excited to announce an opening for a Data Program Analyst in Saudi Arabia. In this critical role, you will be responsible for analyzing and managing data programs to support decision-making and operational efficiency. The Program Analyst will transform raw data into actionable insights, helping us measure our impact, improve our programs, and make data-driven decisions. This position requires a strong analytical mindset and the ability to work collaboratively with various teams to enhance data-driven strategies.

Key Responsibilities
Data Capture & Management
  • Collect and maintain accurate data from participating startups and program activities.
  • Ensure completeness, consistency, and reliability of data across multiple programs.
  • Develop templates and processes for systematic data collection and verification.
  • Generate ad-hoc reports and data analysis to support strategic planning, business development, and program improvements.
  • Serve as the primary point of contact for startups regarding all data collection and reporting requirements.
Program Support & Analysis
  • Support program managers in planning and executing core activities (bootcamps, workshops, demo days, etc.).
  • Track program delivery against timelines and elevate risks or delays.
  • Contribute to preparation of program briefs, meeting notes, and stakeholder updates.
Dashboard Development & Reporting
  • Build and maintain dashboards to track KPIs, startup metrics, and ecosystem impact.
  • Support the preparation of presentations with clear data visualizations and insights.
Startup Engagement & Program Support
  • Proactively follow up with founders and team members to ensure timely submission of data and reports.
  • Support the onboarding of new startups into our data systems and reporting frameworks.
Requirements
  • Bachelor's degree in Business, Economics, Data Science, or a related field is required.
  • 2–4 years of professional experience in data analysis, program management support, or within startup / innovation ecosystems.
  • Demonstrated ability to manage datasets with an extremely high level of accuracy and attention to detail required.
  • Proficiency in SQL, data visualization tools (e.g., Power BI, Tableau), and Excel.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, both verbal and written.
  • Ability to work collaboratively in a team environment.
  • Experience with data governance and data management frameworks is a plus.
  • Fluency in English is required; proficiency in Arabic is an advantage.
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