Senior Data Analyst

Who We Are
Noora Health India Private Limited is a key partner in Noora Healths mission is to improve outcomes and strengthen health systems by equipping family caregivers with the skills they need to care for their loved ones. They develop content, technology platforms, new products, and strengthen other operational functions that support the scale and impact of Noora Healths programs.
Founded in 2014, Noora Health turns hospital hallways and waiting rooms into classrooms by tapping into the most compassionate resources available for the patients care: their own family.
With support from governments and partners in India, Bangladesh, Indonesia, and Nepal, Noora Health has trained more than 43 million caregivers and patients across 12,800+ facilities using their flagship caregiver education and training curriculum, the Care Companion Program (CCP).
In a cohort of patients, the CCP reduced post-surgical cardiac complications by 71%, maternal complications by 12%, newborn complications by 16%, and newborn mortality by 18%.
Noora Health is an Audacious Project Grantee and received the Skoll Foundation Award for Social Innovation. To learn more, watch our TED Talk, Skoll feature, or read about our partnership with the World Health Organization.
About Shared Platforms
The Shared Platforms team leads the strategy, development, and implementation of digital products and services across the different geographies that we operate in currently India, Bangladesh, Indonesia, and Nepal. We value being close to our users (patients and caregivers, as well as our internal team members) and using data and technology to solve for user needs sustainably and at scale. We strive to become leaders and innovators in using cutting edge technology to improve outcomes in public health. We are a team of product managers, engineers, and data analysts.
Role Summary
Data is integral to decision-making at Noora Health. However, data about our users and operations are scattered across multiple platforms and applications that are used to run our interventions. We recently started integrating data from these various sources into a centralized warehouse. You will be responsible for further extending and maintaining this central data system including integrating new data sources, building robust pipelines and transformation models, and co-designing and implementing data governance policies across all the geographies we operate in.
What You Will Do

• Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouse structures to ensure data quality and accessibility for analytics and reporting.

• Collaborate with program delivery, program design and platforms teams to gather requirements, develop data models, and design analytics solutions that address specific business needs.
• Implement data governance and security measures based on our respective regions of operation.
• Support data analysts and monitoring teams to build dashboards and communicate challenges and insights back to the larger team.
• Manage our data warehouse and ensure performant databases for querying and dashboarding purposes.
• Develop and maintain data visualizations and dashboards to track key performance indicators (KPIs) and monitor business trends.
• Support the engineering team in refining schemas for our applications based on needs coming from internal and external stakeholder requirements.
  

Who Are We Looking For

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
• 4+ years of proven experience in data analysis, engineering, data management or other equivalent fields.
• Knowledge of data warehousing, database design, and data modeling techniques.

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Get Hired
• Strong proficiency in SQL, Python, and data manipulation languages (DML).
• Hands-on experience with data pipeline and ELT/ETL tools (e.g., Fivetran, Airbyte, dbt).
• Familiarity with cloud-based data warehouse and data processing platforms (e.g., BigQuery, Snowflake, Databricks).
• Proficiency in data visualization and reporting tools (e.g., Tableau, Metabase, Superset, PowerBI).
• Strong analytical, problem-solving, and communication skills, with the ability to translate complex data into actionable insights for non-technical stakeholders.
• Detail-oriented, self-motivated, and able to work independently as well as collaboratively within a team.
  

What We Value
We value diversity, equity, and inclusion, and we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team, and we welcome candidates from all gender identities, castes, religious practices, sexual orientations, and abilities among many others.
We encourage people from all backgrounds to apply.
How To Apply
Please submit your application using this link.