Manager, Data Engineering / Analytics & Business Analysis

5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a Manager of Data Engineering / Analytics & Business Analysis in the Program Office/Program Operations Team, you will be responsible for developing data & analytics solutions leveraging vast datasets gathered by Operational Applications to support the Technology Division and broader enterprise. Your main challenge will be to design high-performance algorithms, cutting-edge analytical techniques, and user-friendly workflows to enable users to extract valuable insights from big data for driving their businesses forward. Key Responsibilities: - Utilize your knowledge in data engineering, ETL architecture, and data modeling to deliver clean and accessible data for analysis in collaboration with data scientists and analysts. - Demonstrate proficiency in performance tuning for databases, ETL jobs, and SQL scripts. - Apply skills in enterprise metrics/monitoring tools such as Splunk, Grafana, Domo, SMSS, and other BI-related tools. - Cultivate a data-driven analytical mindset with a strong problem-solving track record. - Leverage experience in Agile methodologies to drive project success. - Collaborate effectively with cross-functional teams, stakeholders, and senior management to achieve common goals. - Handle triaging, troubleshooting, and resolving technical issues to ensure minimal consumer downtime. - Possess a Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent practical experience will also be considered. - Mentor and guide junior team members, providing advice on best practices and solutions to overcome blockers. - Drive automation initiatives to reduce manual effort and risk in data consumption and reporting processes. - Exhibit excellent written and verbal communication skills to convey complex technical concepts to diverse audiences. - Manage multiple priorities, work streams, and deadlines effectively by setting clear expectations and priorities. Qualifications Required: - Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent practical experience will be considered. - Strong knowledge in data engineering, ETL architecture, and data modeling. - Proficiency in performance tuning for databases, ETL jobs, and SQL scripts. - Experience with enterprise metrics/monitoring tools like Splunk, Grafana, Domo, SMSS, and other BI-related tools. - Agile methodologies experience. - Excellent communication skills with the ability to explain technical concepts clearly. - Ability to manage competing priorities, work streams, and deadlines effectively. (Note: Omitted section on Corporate Security Responsibility as it is not relevant to the job description),

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