Key Responsibilities:

- Lead and manage a team, data analysts providing direction, mentorship, and project oversight.
- Collaborate with business, product, and cross-functional teams to translate business challenges into data-driven solutions.
- Hands on experience in AI and ML tools.
- Develop, implement, and optimize advanced analytics, statistical models, and machine learning algorithms to solve complex business problems.
- Create and maintain robust data models and dashboards to provide accurate, reliable metrics and KPIs that support decision-making across the organization.
- Utilize data visualization tools (e.g., Metabase, Tableau, Power BI, etc.) to transform complex data sets into compelling and easily understandable reports for both technical and non-technical stakeholders.
- Drive end-to-end project execution, including data collection, cleaning, analysis, visualization, and delivery of actionable insights.
- Ensure data integrity and validation across all analyses and projects.
- Leverage SQL and Python to perform data wrangling, complex analysis, and build predictive models.
- Utilize your strong understanding of statistics, probability, and machine learning to design and deliver impactful solutions.
- Stay updated on the latest advanced analytics methodologies and tools, applying them to improve processes and strategies.
- Manage project timelines, resources, and stakeholder expectations to ensure successful and timely delivery of insights.

Qualifications:

- Experience:



Minimum of 5+ years of relevant experience in analytics, data science, or a related field, preferably in high-paced, fast-growing organizations.
- Education: Bachelors or Master's degree in Engineering, Applied Mathematics, Statistics, Data Science, or any other quantitative field.
- Technical Skills: Proficient in SQL and Python for data manipulation, analysis, and building data models and ML models.
- Data Visualization & Reporting: Proven experience in data modeling and visualization tools (e.g., Metabase, Tableau, Power BI) to build dashboards and reports that inform decision-making.
- Statistical Knowledge: Solid understanding of statistics, probability, and common machine learning algorithms.
- Real-World Deployment: Experience developing and successfully deploying analytical and machine learning solutions in real-world settings.
- Team Management: Proven experience in managing mid-sized teams (4-5 members) and overseeing multiple projects.
- Stakeholder Collaboration: Ability to work closely with business and product stakeholders to deliver data-driven insights and solutions.
- B2C Experience (Preferred): Experience in a B2C eCommerce and Product Analytics is preferred.
- Advanced Degree (Preferred): A Master's degree in Business Analytics, Data Science, or a related quantitative field is a plus.

Skills: Data Manipulation, Data Visualisation, Sql, Statistical Knowledge, Python

Experience: 4.00-9.00 Years

📌 Lead Analyst (Bengaluru)
🏢 Thyrocare
📍 Bengaluru