Data Analytics Manager

Job Description

Work you’ll do

The key job responsibilities will be to:

Design and optimize MS SQL Server database schemas, ensuring scalability and performance.
Implement security measures, backup, and recovery strategies.
Collaborate with SQL developers to design and optimize queries for efficient data retrieval and manipulation.
Integrate databases into the overall system architecture.
Develop and optimize SQL queries and stored procedures for efficient data retrieval and manipulation.
Collaborate with application developers to ensure seamless integration of databases with software systems.
Implement best practices for database development, such as proper indexing and query optimization.
Utilize SQL and other analytical tools to extract meaningful insights from large datasets.
Collaborate with data analysts to understand business requirements and translate them into effective database structures.
Optimize database performance to support complex analytical queries.
Work with data visualization tools to create insightful and actionable reports and dashboards.
Collaborate with data analysts and business stakeholders to understand visualization requirements.
Ensure that database structures support the data needed for effective visualization.
Integrate machine learning models with databases to enhance data analytics capabilities.
Collaborate with data scientists to design and implement databases that support machine learning workflows.
Ensure the seamless flow of data between databases and machine learning models.
Lead, manage, and mentor a team of consultants, fostering a collaborative and positive team culture.
Build and maintain strong client relationships, ensuring satisfaction and addressing concerns.
Develop comprehensive project plans, allocate resources efficiently, and establish clear objectives and deliverables.
Oversee the successful execution of consulting projects, monitoring progress, and ensuring timely and within-budget completion.
Identify and address challenges, proactively mitigate risks, and implement effective solutions during project delivery.
Maintain high standards of deliverable quality, conducting thorough reviews of work products to meet or exceed client expectations.
Communicate effectively with clients and internal teams, present findings and updates, and facilitate transparent team communication.