Practo
Website:
practo.com
Job details:
About The Role
Practo is looking for an accomplished Analytics Head to lead the organization's analytics function and strengthen data-led decision-making across the business. This senior leadership role will define the analytics strategy, build scalable capabilities, and translate complex data into clear, actionable recommendations that improve customer outcomes, operational effectiveness, and business performance.
The Analytics Head will partner closely with senior leadership and teams across Product, Marketing, Operations, Technology, and other business functions. The role requires a hands-on strategic leader who can combine analytical depth, business judgment, and strong people leadership.
About The Team
You will lead a multidisciplinary team of analysts and data scientists and work closely with data and technology partners. The team transforms data into insights, models, and decision frameworks that help Practo solve meaningful healthcare and business problems. It values collaboration, intellectual curiosity, high standards, and continuous learning.
Key Responsibilities
- Define and execute a comprehensive analytics strategy aligned with Practo's business priorities and long-term goals.
- Partner with senior leaders to frame critical business questions, establish analytical approaches, and convert insights into measurable actions.
- Lead, mentor, and develop a high-performing team of analysts and data scientists, creating clear standards for quality, ownership, and professional growth.
- Oversee complex analyses, including predictive modeling, experimentation, forecasting, segmentation, and advanced statistical techniques.
- Embed analytics into core business processes across Product, Marketing, Operations, and other functions to improve decision quality and execution.
- Establish robust practices for data governance, metric definitions, reporting, and quality assurance so that analytics outputs remain accurate, consistent, and trusted.
- Collaborate with technology and data engineering teams to strengthen data infrastructure, accessibility, scalability, and toolsets.
- Build effective dashboards and reporting mechanisms that give leaders timely visibility into business performance and emerging opportunities.
- Communicate complex findings in a clear and compelling manner to technical and non-technical stakeholders, influencing decisions at all levels.
- Track industry trends, emerging analytical methods, and relevant technologies to continuously enhance Practo's analytics capabilities.
What Success Looks Like
- Analytics priorities are clearly linked to business objectives and deliver measurable impact.
- Leaders and cross-functional teams use consistent, trusted data to make faster and better decisions.
- The analytics team operates with strong technical standards, clear accountability, and a culture of learning and innovation.
- Advanced analytics and predictive insights are applied to improve customer experiences, operations, and growth outcomes.
- Data governance and reporting practices create reliable, scalable foundations for the organization.
Qualifications And Experience
- Proven experience in a senior analytics leadership role, preferably within healthcare, consumer technology, digital platforms, or another data-intensive environment.
- Demonstrated success in building, leading, and developing high-performing analytics teams.
- Deep expertise in statistical analysis, data mining, predictive modeling, experimentation, and data visualization.
- Strong command of SQL and working proficiency in analytical programming languages such as Python or R.
- Experience with data visualization and business intelligence tools such as Tableau or Power BI.
- Strong strategic thinking and problem-solving capabilities, with the ability to connect analytical work to commercial and operational outcomes.
- Exceptional stakeholder management and communication skills, including the ability to present complex insights to senior leadership.
- Experience collaborating with data engineering and technology teams on data platforms, pipelines, quality, and accessibility.
- A strong understanding of healthcare industry dynamics and analytical use cases is preferred.
- Familiarity with big data technologies and platforms such as Hadoop or Spark is an advantage.
Analytics
Key Skills and Tools :
- Statistical analysis, predictive modeling, experimentation, forecasting, segmentation, data mining
Technology
- SQL, Python, R, Tableau, Power BI; exposure to Hadoop or Spark is advantageous
Leadership
- Strategy, team building, coaching, prioritization, executive communication, stakeholder influence
Data Management
- Data governance, metric definitions, reporting standards, data quality, accessibility
Business Context
- Healthcare technology, digital products, customer lifecycle, operational and commercial analytics
Why Join Practo
This is an opportunity to shape how data informs decisions across a healthcare technology organization. You will build capabilities with enterprise-wide influence, lead a talented team, and use analytics to help improve healthcare experiences at scale.
Join Practo and help shape the future of healthcare through data-driven leadership.
(ref:hirist.tech)
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