Senior Data Analyst
2 months ago
Data and Analytics Lead
Healthcare/ hashtag
Pharma hashtag
Position : Data and Analytics Lead
Location : LBS Marg Vikhroli West
Company : Wellness Forever
Are you a passionate and experienced data leader with a knack for transforming data into actionable insights? We're looking for a Data and Analytics Lead to join our dynamic team and drive our data initiatives forward, particularly within the healthcare or pharmaceutical retail industry.
Key Responsibilities :
- Develop and execute data and analytics strategies aligned with our organizational goals.
- Architect and manage data warehouses, data lakes, and governance frameworks.
- Ensure top-notch data quality, accuracy, and integrity.
- Utilize data prep and cleaning tools for seamless analysis.
- Create and manage data pipelines for efficient data processing.
- Leverage cloud platforms (AWS, GCP, Azure) for optimal data infrastructure management.
- Design compelling dashboards and reports using Power BI and other visualization tools.
- Translate complex data analysis into actionable business insights.
- Build, lead, and mentor a high-performing team of data analysts.
- Promote a data-driven culture and collaborate across departments.
Stay ahead of the curve with the latest trends and technologies in data analytics.
Technical Skills :
Essential : Python, SQL, cloud platforms (AWS, GCP, Azure), data warehousing/lake solutions (Snowflake, Redshift, BigQuery, Azure Synapse Analytics), Power BI.
Preferred : R or Scala, Airflow, Luigi, Prefect, Hadoop, Spark, Git, MDM tools, data preparation tools (OpenRefine, Trifacta Wrangler).
Qualifications :
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's preferred).
- 7-10 years of experience in data analytics and management, with 3+ years in a leadership role.
- Proven experience in data architecture and governance.
- Strong understanding of data quality principles and AI/ML concepts.
- Excellent communication and leadership skills.
Bonus Points :
- Expertise in the healthcare/pharmaceutical retail sector.
- Experience with data security and compliance.
- Experience with machine learning models for healthcare/pharma applications.
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