Data Analyst

About Valeo Health
Valeo Health is a pioneering organization dedicated to transforming healthcare through innovation, collaboration, and a commitment to excellence. We aim to provide sustainable healthcare solutions while maintaining the highest standards of financial integrity and operational efficiency.
Role Summary
Valeo Health ME is looking for a Data Analyst to turn data into clear business insight, scalable reporting, and high-impact recommendations. This role is ideal for someone who can combine strong analytics foundations with business curiosity and cross-functional partnership to improve growth, retention, and operational performance in a fast-moving HealthTech startup.
Key Responsibilities
Own end-to-end analytics for key business functions by defining metrics, building dashboards, uncovering insights, and recommending actions that improve growth, retention and operational efficiency.
Partner closely with Product, Engineering, Marketing, Operations and Leadership to translate business problems into analytical solutions, experiments and decision-making frameworks.
Build, maintain and improve robust data models, reporting layers, and data pipelines to enable accurate, scalable and self-serve analytics across teams.
Apply advanced analytical techniques such as forecasting, segmentation, A/B testing, statistical analysis and machine learning to solve high-impact business problems.
Present findings clearly to senior stakeholders through structured storytelling, executive-ready presentations and actionable recommendations.
Analyze product, customer, marketing and operational data to identify patterns, opportunities, risks, and areas for process improvement.
Work with engineering and product teams to define event tracking, data schemas, and reporting standards for reliable decision-making.
Ensure data quality, consistency and integrity through validation, monitoring and documentation practices.
Support experimentation and performance measurement by designing success metrics and evaluating results with statistical rigor.
Create dashboards and reports using BI tools that help business teams monitor KPIs and act quickly on insights.
Required Qualifications
Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
2–5 years of experience in data analytics, business intelligence, or a similar role, preferably in a start up, digital health, or HealthTech environment.
Strong command of SQL and solid working knowledge of Python or R for analysis, automation, and modelling.
Experience with BI and visualization tools such as Tableau, Power BI, Looker, Sigma, or similar platforms.
Strong understanding of experimentation, hypothesis testing, segmentation, forecasting, and core statistical methods.
Experience working with large, messy, multi-source datasets and turning them into clear recommendations.
Excellent communication skills, with the ability to explain complex findings to non-technical and senior stakeholders.
Preferred Qualifications
Experience in healthcare, digital health, wellness or patient-centric platforms, especially in GCC markets.
Familiarity with healthcare data, clinical/operational workflows, and regulated/PII-sensitive data environments (e.g., encrypted PII handling, regional data-protection requirements such as Saudi PDPL).
Familiarity with AWS-native data stacks (S3, Glue Catalog, Athena) or equivalent cloud data warehouses.
Exposure to machine learning use cases in business or product analytics.
Experience building self-serve analytics environments and metric definitions for cross-functional teams.
Skills for Success
Strong analytical thinking and problem-solving.
High ownership and comfort working in ambiguity.
Ability to balance strategic thinking with hands-on execution.
Attention to detail and commitment to data accuracy.
Stakeholder management and cross-functional collaboration.
Business storytelling and presentation skills.
What Success Looks Like
Reliable dashboards and reporting systems are adopted across business teams.
Leaders use data-backed recommendations to make faster and better decisions.
Key business metrics are clearly defined, trusted, and consistently monitored.
Experiments and analyses lead to measurable improvements in growth, retention, and operational efficiency.
Why Join Valeo Health?
Be part of a growing organization at the forefront of healthcare innovation.
Opportunity to work in a collaborative and dynamic environment.
Competitive compensation and benefits.
Career development and learning opportunities.
Skills
Python
Data Analysis
SQL

Work arrangement
No