Data Warehouse Architect at Movado Group, Inc.

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SAP Analytics Cloud, SAP BW, Data Modeling, Data Visualization, SQL, Python, Machine Learning, Predictive Analytics, BEx Queries, Dashboard Design, Security Management, Process Chains, Data Transformation, OTC Processes, P2P Processes, Reporting

Industry

Luxury Goods & Jewelry

Description

The Data Warehouse Architect will be responsible for the design, development, and implementation of advanced analytics solutions using SAP Analytics Cloud (SAC). This role involves working closely with business stakeholders and technical teams to architect and deliver dash boards and analytical applications integrated with SAP BW and other internal or external data sources. The role requires strong experience in data modeling, stories, visualization, and SAC security, along with working knowledge of SQL, Python, and machine learning. Business process knowledge of OTC and P2P is highly desirable. Key Responsibilities Architect and design scalable data and analytics solutions using SAP Analytics Cloud (SAC) Develop advanced SAC models (planning and reporting) with both live and acquired connections, integrating data from SAP BW and external sources such as SQL Create intuitive, interactive dashboards and visualizations using advanced charting and presentation techniques Build hybrid stories that combine data from SAP BW and other systems; ensure consistent and performant design Work with business stakeholders to troubleshoot reporting and data accuracy issues; collaborate on functional design. Guide and assist and train power users in troubleshooting creation of SAC models and stories. Modify and optimize BEx queries to support SAC models and connectivity requirements Implement and manage SAC security models and authorization frameworks Monitor data loads, process chains, and data flow between SAP, BW and SAC systems to ensure integrity and performance Collaborate with cross-functional teams to align analytics solutions with business needs, focusing on OTC and P2P business processes Apply data analytics and Excel expertise to derive insights, and leverage machine learning or predictive analytics tools where applicable Participate in SAC upgrades, feature testing, and deployment planning Maintain proper documentation of models, connections, and architecture decisions Contribute to solution optimization by exploring other tools (e.g., Tableau, Power BI) as secondary support options Area of Focus SAP Analytics Cloud (SAC): architecture, story building, modeling, planning (preferred) SAP BW: minimum one end-to-end implementation, query and data model integration with SAC Data visualization and presentation techniques, advanced charting, and hybrid data source configuration SQL and Python for data transformation, validation, and scripting (preferred) Data monitoring and process chains SAC security management and upgrade planning Knowledge of OTC and P2P processes and data flow mapping between systems Qualifications Education Required: Bachelor’s Degree in Computer Science, Data Science, Engineering, or related discipline Preferred: Master’s Degree or equivalent in Analytics, Information Systems, or related field Movado Group, Inc. is an equal opportunity employer. It prohibits discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any other legally protected status in accordance with applicable federal, state and local laws. Movado Group was originally created in 1961 as the North American Watch Company. Its founder, Gedalio Grinberg, was a refugee from Cuba who quickly became a legend in the watch industry. Pioneering the luxury watch business, Grinberg gained acclaim through his many widespread accomplishments, including his contribution to building the Piaget brand, the rescue and revitalization of the Movado brand and his efforts to rally Swiss forces during the quartz crisis of the 1970s. Gedalio Grinberg laid the foundation for what has become, under the successful leadership of his son, Efraim Grinberg, a $500+ million watch company. Today, Movado Group is a major player in the watch industry worldwide, offering exciting career opportunities and a strong portfolio of ten widely respected brands: Movado, EBEL, Concord, MVMT, Olivia Burton, Coach Watches, HUGO BOSS Watches, Lacoste Watches, Tommy Hilfiger Watches and Calvin Klein Watches. As our brands expand globally, our employees continue to enjoy the rich experience of a small company environment, with hands-on involvement and exposure to many different aspects of the business. From Product Development to Supply Chain operations, our employees can learn the inner workings of the industry, while growing within the organization. We currently own and operate over 50 Movado Company Stores that offer exceptional value on products from all our fine watch brands. With strategic locations nationwide, this retail division supports our brand image and increases sales for our company. A successful global corporation, Movado Group employs over 1,100 people worldwide. Our corporate headquarters are in Paramus, New Jersey. We have manufacturing facilities in Switzerland and the Far East, and regional offices in France, Germany, the United Kingdom, China including Hong Kong. We enjoy a strong international presence as a leader in the watch industry. From fashion to luxury, our distinctive and diverse brands offer a wide range of growth opportunities. Join the Movado Group team and work for the best brands in the market, while becoming a part of a world-class organization.

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Responsibilities

The Data Warehouse Architect will design and implement scalable analytics solutions using SAP Analytics Cloud and SAP BW. They will collaborate with stakeholders to build interactive dashboards, manage security models, and optimize data flows to support business processes.