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Open nowPosted 13 days ago

Data Analyst

VALEO WELLBEING TECHNOLOGIES49 open roles

Where
Bengaluru
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Your applicationOpen nowData AnalystVALEO WELLBEING TECHNOLOGIES · Bengaluru

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Share of postings closed within
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  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 13 days ago

The posting

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.
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