Key Responsibilities:

Design and implement scalable data analytics solutions to support business needs and objectives
Collaborate with stakeholders to identify data requirements and translate them into technical specifications
Develop and maintain data models, data flows, and data dictionaries
Build and maintain data pipelines for data ingestion, processing, and storage
Perform data cleansing, transformation, and aggregation to ensure data accuracy and consistency
Design and implement data security and access controls to safeguard sensitive information
Develop and maintain data quality processes to identify and resolve data inconsistencies and errors
Conduct performance tuning and optimization of data analytics systems to ensure efficient and timely data access
Stay updated on emerging data analytics tools and technologies and make recommendations for their adoption
Provide technical guidance and mentorship to junior data analysts and engineers

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Minimum of 5 years of experience in data analytics, data engineering, or a related role
Strong experience with data analytics tools and technologies such as SQL, Python, R, Tableau, and Hadoop
Proven experience in designing and building data analytics solutions using cloud platforms such as AWS, Azure, or Google Cloud
In-depth knowledge of data modeling, data warehousing, and ETL processes
Familiarity with data governance and security practices
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills to work effectively with cross-functional teams
Ability to work independently and manage multiple projects simultaneously

If you are passionate about data analytics and want to make a significant impact in a fast-paced and growing company, we would love to hear from you. Apply now and join our team as a Data Analytics Architect.

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