Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

REQUIREMENTS

• 5 - 7 years of hands-on experience with SQL for querying and data manipulation.
• Proficient in Python for data analysis and model development.
• Experience in ETL processes and working with data warehousing solutions.
• Experience working with mainframe data extraction is a mandatory.
• Demonstrated expertise in the Healthcare Payer industry is mandatory.
• Excellent communication and presentation abilities to convey technical insights to non-technical stakeholders.
• Ability to work collaboratively with clients to define goals, requirements, and success metrics.
• Bachelor’s degree in a technology-related field.

• Extract, transform, and analyse complex datasets using SQL and Python.
• Design and implement analytical models and methodologies to solve critical business problems.
• Collaborate with stakeholders to translate unstructured business needs into well-defined analytical requirements.
• Present analytical findings and actionable insights through compelling reports and presentations.
• Develop data-driven strategies tailored to the unique challenges of healthcare payer organizations.
• Maintain a strong understanding of industry trends, regulatory changes, and emerging technologies in healthcare analytics.
• Engage with cross-functional teams to align technical solutions with client goals.
• Partner with consulting teams to drive adoption of analytics across business processes and technology platforms.