Job Description

We are seeking a seasoned Big Data - Senior to lead our data analytics initiatives and drive data-driven decision-making across the organization. This role is crucial for leveraging vast amounts of data to uncover actionable insights that will propel our business forward. The ideal candidate will have a strong background in data analysis and a proven track record of implementing complex data solutions. They will play a pivotal role in shaping our data strategy and enhancing our competitive edge.

Experience Required:

5+ years

Key Responsibilities:

Develop and implement advanced data analytics solutions to support business objectives.
Lead a team of data scientists and analysts to achieve project goals and deliverables.
Collaborate with cross-functional teams to understand data needs and deliver effective data solutions.
Design, develop, and maintain data architecture and infrastructure to support data processing and analysis.
Create and manage comprehensive data models and analytical frameworks.
Optimize data collection and storage processes to improve efficiency and accuracy.
Conduct in-depth data analysis to identify trends, patterns, and insights.
Develop and deploy machine learning models to enhance data-driven decision-making.
Provide expert guidance and mentorship to junior data analysts and engineers.
Stay abreast of the latest advancements in big data technologies and methodologies.

Qualification Criteria:

Minimum of 5 years of experience in big data and data analytics.
Proven track record in leading data projects and teams.
Strong understanding of big data technologies and tools.
Excellent problem-solving skills and analytical thinking.
Experience with data warehousing, ETL processes, and data visualization tools.
Strong communication skills to effectively convey complex data insights.
Degree in Computer Science, Data Science, or a related field.
Advanced knowledge of SQL and experience with big data frameworks.
Proficiency in programming languages such as Python or R.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.