TECHNICAL SKILLS

1. Understanding of Data Analytics:
   o Familiarity with data lifecycle: collection, storage, processing, analysis, and visualization.
   o Knowledge of advanced analytics techniques such as predictive modeling, machine learning, and AI.
2. Big Data and Cloud Platforms:
   o Experience with tools like Hadoop, Spark, or Snowflake.
   o Understanding of cloud platforms such as AWS, Azure, or Google Cloud.
3. Data Integration and ETL:
   o Awareness of ETL processes and tools like Informatica, Talend, or Apache NiFi.
4. Database Management:
   o Proficiency in working with relational (SQL) and non-relational (NoSQL) databases.
5. Data Visualization:
   o Familiarity with tools like Tableau, Power BI, or Looker.
6. Cybersecurity and Compliance:
   o Awareness of data security, privacy regulations (e.g., GDPR, CCPA), and governance best practices.

EXPERIENCE

• Domain Expertise: Experience in the industry relevant to the analytics platform (e.g., finance, healthcare, retail).
• Technical Project Delivery: Previous involvement in implementing analytics platforms or similar technical projects.
• Cross-functional Team Leadership: History of working with multi-disciplinary teams, including engineers, analysts, and business units.

Please refer the Job description for details