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73 SGTC India Jobs

Manager, Division Operations Data & Analytics

6-9 years

Gurgaon / Gurugram

1 vacancy

Manager, Division Operations Data & Analytics

SGTC India

posted 6d ago

Job Description

Work Flexibility: Hybrid

POSITION SUMMARY
The role will be responsible for a team of Analysts, and Data Engineers and will own analytics program within Division Operations. The role will be responsible for overseeing the end-to-end data analytics process from data discovery and ingestion to delivering business insights and self-service analytics. The role will be responsible for analytical and reporting systems/tools to turn data into meaningful business information and intelligence. The role will liaise and interface with US-based divisional Planning Analytics lead to support functional planning teams (demand, supply, and/or IBP), finance, commercial teams, and global process excellence.

What you will do:
Team management: manage a team of data engineers and analysts. Effectively build and maintain clean data and visualize/analyze that data to drive improved decision-making across the Endoscopy and Instruments divisions.
Team leadership: driving the team s direction to achieve the divisions goals, and coaching and developing individual team members
Data management: collect data from various existing sources, including multiple different ERP systems, Demantra, SAP IBP, and offline sources. Consolidate into a data lakehouse, accessible by Stryker-standard analysis tools. Ensure data timeliness, integrity and cleanliness by monitoring the existing and incoming data, and reporting exceptions. Investigate and remedy exceptions.
Data security: implement data security measures to protect sensitive information and maintain access approval process
Data analysis: develop and architect models to address specific business problems
Reporting: create reports and presentations that use data visualization and storytelling to communicate findings to stakeholders on a regular cadence, and ad-hoc
Process development: create processes for effective data analysis and reporting. Establish best practices and global standards for reporting and metrics for applicable business scope and efficient intake and prioritization of business demands
IT integration: coordinate with IT to ensure that the necessary infrastructure is rolled out and maintained, and that current technology supports the divisions goals and co-build and self-service analytics ecosystem.
Business integration: design and integrate analytics into the integrated planning process
Thought leadership: demonstrate thought leadership and creativity in solving problems and the ability to appropriately communicate and escalate as needed to leadership. Act as a role model to the department and organization with regard to work ethic, integrity, and team approach.

What you will need:
Bachelors degree in Computer Science, Engineering, or Supply Chain-related field
MBA or technical Masters degree desirable
Languages: fluent English and local language required
KNOWLEDGE Background Experience Required:
A minimum of five years data & analytics experience
A minimum of three years in an operational/supply chain role and minimum of two years managing a team and the associated challenges
Program and project management experience
Change management, demonstrated use of analytics to drive executive/leadership decision making and behavior
Excellent communication and stakeholder management skills, ability to work in a matrixed organization.
Functional competencies in SQL, Python, data warehousing technologies, big data technologies, data quality tools, and data analytics and business intelligence tools. Strong problem-solving, quantitative, and analytical abilities, as well as excellent communication, collaboration, management, delegation, and leadership skills.
Preferred:
Experience with Databricks, Unity Catalog, Azure Data Lake, Azure Data Factory, Power BI Suite, SAP modules, Manufacturing Resource Planning Systems, Medallion Architecture, Cloud-based data ecosystem

Travel Percentage: None


Employment Type: Full Time, Permanent

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