Objective

The Big Data Advisor is primarily responsible for guiding and overseeing the organization's data management practices. The role involves planning, organizing, and managing the large volume of the organization's data to ensure its quality and accessibility. The ultimate goal is to help the organization make data-driven decisions and gain valuable insights from their data.

Description

Guides strategic data management to drive business insights.

Sample Questions

• How to ensure data quality in big data?
• What's the most efficient data storage solution?
• How to optimize data processing for faster insights?
• What's the role of big data in our business strategy?

Key Functions

1. Design and implement data management strategies. 2. Oversee data collection, storage, and processing activities. 3. Develop policies for data sharing and security. 4. Collaborate with IT teams on data infrastructure issues. 5. Guide the use of data analytics tools and techniques. 6. Assess the effectiveness of data management procedures. 7. Train staff on data handling and compliance. 8. Stay updated on industry trends and advancements in big data.

Required Skills

1. Expertise in big data technologies like Hadoop, Spark, and Hive. 2. Proficiency in SQL and NoSQL databases. 3. Knowledge of data modeling and data architecture. 4. Experience with data visualization tools like Tableau. 5. Understanding of machine learning algorithms. 6. Familiarity with cloud computing platforms. 7. Proficiency in programming languages like Python or Java. 8. Knowledge of data warehousing solutions. 9. Experience with ETL tools. 10. Understanding of data privacy regulations.