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