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Business Intelligence Specialist
2 weeks ago
We are seeking an experienced Senior Data Analyst to join our team. This is a pivotal role that involves analyzing large datasets, uncovering trends, and delivering actionable insights that drive business growth.
The successful candidate will have expertise in SQL, Python, Advanced Excel, and data visualization, along with solid business acumen and experience in predictive analytics.
Key Responsibilities:
- Data Analysis & Insights: Collect, analyze, and interpret large datasets using statistical techniques, data mining, and predictive analytics to identify growth opportunities and understand historic data trends.
- Advanced Tools & Automation: Perform data manipulation using SQL, Python, advanced Excel/Google Sheets (including automation), and build interactive dashboards and graphs for efficient reporting.
- CRM & Data Management: Manage and leverage CRM systems to analyze customer behavior, improve lead management, and support data-driven sales and marketing strategies.
- Stakeholder Collaboration: Partner with cross-functional teams (leadership, marketing, operations, product, etc.) to translate business needs into data-driven solutions and influence decision-making.
- Reporting & Communication: Create clear reports, visualizations, and presentations to communicate key insights and support data-driven decision-making across business functions.
Skills we seek:
- Strong expertise in SQL, Excel, Python (Pandas, NumPy and other libraries) for analysis and automation.
- Expertise in generating data insights and analyzing historic data trends.
- 3+ years as a Data Analyst with strong business acumen also exposure into Zoho CRM and Zoho Analytics is a plus.
- Proficient in data mining, predictive analytics, and visual storytelling.
About this Role:
This is an exciting opportunity to work on a platform that helps users choose the right hospital/surgeon for their surgical procedure. We are building India's largest hospital network, and we will ensure a hassle-free experience for the patient at the hospital.