Software Jobs in Gurgaon, India (Now Hiring) — 325 open — Page 11

What makes this a great opportunity?

Suntory Global Spirits has committed to implementing standard global process leveraging industry best practices across our Supply Chain to deliver operational excellence. This will require a Supply Chain transformation program to evolve our global way-of-working across Supply Chain Planning & Fulfilment supported by a best in class Analytics capability. The Supply Chain Planning & Fulfilment Center of Excellence (CoE) is essential to the development and implementation of this business transformation program.

The BI Analyst/Developer is responsible for developing and enhancing data models, performing detailed analysis, and creating advanced visualizations. This role involves working closely with Process SMEs to deliver dashboards that drive decision-making and solve business problems..

This position is primarily accountable for the development of data models and reports, development of comprehensive dashboards and delivery of analytics projects within Supply Chain Planning and Fulfilment. Partnering with the CoE and IT, this role is pivotal in embedding best practices and driving innovation in our analytics capabilities.  You will join workshops to understand use cases and support design discussions to translate requirements into a robust user experience ensuring data standards and best practices are followed. You will build sustainable models, developed around source of truth datasets and best in class visualizations that impress users and make insight generation simple. You will ensure that data governance and standards are a key priority by developing in line with internal process and best practice and flushing out opportunities to improve process and data quality. You will support innovation and our vision to become a best in class analytics capability by identifying opportunities in our modelling and report building to build on the solid foundation already set.  

This position will report to the BI Manager - Supply Chain Analytics COE

Role Responsibilities

Analytics Project Delivery:

• Develop data models in line with technical implementation standards and best practice supported by Senior Developers/Analytics Delivery Lead where required
• Create interactive dashboards and reports which make insight generation simple.
• Own on-time delivery of assigned deliverables and escalate issues which prevent progress.
• Partner cross functionally and contribute to design workshops to ensure solutions address business needs.
• Develop mock ups to support the discovery/requirements process, drive alignment on the target solution, clear deliverables and level of effort.
• Highlight technical constraints to drive conversations around trade-offs and prioritization.
• Highlight changes in requirements, to drive priority decisions and maintain alignment across the project stakeholders.
• Working with key stakeholders to ensure that solutions being developed are fit for purpose and sustainable

Data Quality and Governance:

• Own the integrity and quality of your developments ensuring they are documented to remove risk and dependencies.
• Adhere to data standards, naming conventions, and data classification frameworks
• Develop and maintain source of truth datasets to ensure reports are built in line with best practice.
• Highlight data quality and process issues impacting reporting accuracy.

Innovation

• Stay informed about industry trends and emerging technologies to ensure the organization remains at the forefront of analytics capability.
• Identify and suggest improvements to support progression towards best-in-class analytics capabilities for data modelling and visualization.
• Develop internal partnerships & work closely with business analytics & IT resources to establish a robust analytics community for knowledge sharing

Major Interfaces

• Supply Chain Planning and Fulfilment CoE Report Builders and BI Manager
• Supply Chain Planning and Fulfilment CoE Process SMEs
• Supply Chain Planning and Fulfilment CoE Project Managers
• Supply Chain IT
• Business Analytics, Managers and Senior Managers across the Global Supply Chain Planning and Fulfilment teams.

Qualifications

• At least 2-5 years experience in Analytics with experience implementing data models.
  • Experience in Supply Chain preferred.
• Bachelor’s Degree with preference towards Data Science, Computer Science, or IT-related discipline
• Solid understanding of relational databases, data governance and modelling best practices with hands on implementation experience.
• Expert proficiency in visualization tools such as Power BI / SAP Analytics Cloud with experience using  data warehousing/modelling tools like Datasphere (preferred) or Google Big Query (GCP)
• Skilled in SQL with ability to conduct intermediate operations (must have) such as joins, subqueries, clean and transform data as well as exposure to more advanced operations (nice to have) like indexing, normalization, scripting, sub-queries, parameterization.
• Can read/understand a general-purpose coding language, e.g. Python or R, with a view to reverse engineering automation code or similar tasks. Nice to have
• Experience developing BI projects in large IT ecosystems with multiple Business Intelligence platforms & data sources
• Understanding of the data available from supply chain software like SAP IBP, SAP APO, & SAP ECC
• Experience developing in Agile environments with multiple, varied stakeholders.
• Experience using project management tools such as Jira and code/documentation management such as GitHub
• Strong analytical and problem-solving skills and demonstrates resilience in instances when the first approach does not work
• Demonstrated ability to collaborate & work effectively with globally dispersed cross-functional teams at any level of the organization; acute business acumen & understanding of organizational issues & challenges
• Strong organizational skills with the ability to adapt quickly to changing priorities & assignments
• Have a meticulous attention to detail and understanding that errors in working with data undermine any insights the output would deliver
• Comfortable navigating high change, unstructured environments that require creative approaches to influence & communicate to a broad base of cross-functional stakeholders and peers with varying stakeholder needs