Key Responsibilities:

Develop and implement data analytics solutions that support business objectives and drive growth.
Lead a team of data engineers in designing, building, and maintaining data pipelines and data warehouses.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Use advanced data analytics techniques to extract insights from large and complex datasets.
Develop and maintain data models, dashboards, and reports to support data-driven decision making.
Stay up-to-date with the latest data analytics tools and technologies and make recommendations for their adoption.
Mentor and coach junior team members to enhance their technical skills and advance their careers.
Provide technical guidance and support to cross-functional teams in data-related projects.
Identify and resolve data quality issues to ensure accurate and reliable data is available for analysis.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Minimum of 8 years of experience in data engineering, data analytics, or a related role.
In-depth knowledge of data analytics tools and technologies such as SQL, Python, R, Tableau, etc.
Strong experience in designing, building, and maintaining data pipelines and data warehouses.
Excellent understanding of data modeling, data warehousing, and data architecture principles.
Proven track record of delivering high-quality data analytics solutions that drive business growth.
Strong leadership skills with the ability to mentor and coach team members.
Excellent communication skills with the ability to translate complex technical concepts into simple terms.
Ability to work in a fast-paced and dynamic environment and manage multiple priorities effectively.

Hashtags