BI Data Modeler

2 weeks ago

Gurugram Haryana, India Personnel Search Services Group Full time

**Posted On**:
09-Feb-2024

**Function**:
MIS & Analytics

**Industry**:
Food & Beverages

**Location**:
Gurgaon

**Employment Type**:
Full Time

**About the client**:PSS** **has been mandated to hire a BI Data Modeler for a leading producer of french fries and potato specialties in the world. Located in Florenceville, New Brunswick, Canada, our client has become a global leader in the frozen food industry in Canada and around the world due to their delicious and convenient food products that are nutritious and delicious.

**Job Purpose**:
Reporting to the Manager, BI, and Data Modelling, the BI Modeler will be part of a dynamic, multi-disciplinary team that brings together individuals with a wide range of experiences in business and technology. This challenging role requires strong data modeling and thus focuses on designing, developing, and implementing data assets that empower data-driven decision-making across the organization.

**Key Responsibilities**:

- **End-to-end BI Data Modelling & BI Reporting**: Lead the end-to-end development of global data assets such as data models, data flows, and global reports in Power BI, including requirements gathering, feedback iteration, and full automation.
- Maintain, optimize, and enhance existing Power BI global data assets to improve performance, scalability, and user experience
- Lead interaction with business stakeholders, data product owners, data analysts, data engineers, data architects and data governance specialists
- Resolve any roadblocks and issues that could impact timelines to deliver
- Ensure quality assurance through user testing and feedback iteration
- Continue to modernize data assets to improve adoption and usage
- **Stakeholder management**: Ensure proper requirements are provided and understood by users, following best practices and a standard format for documenting requirements.
- Operate between data engineers, data analysts (or SMEs) and data product managers
- **Data Preparation**: Ensure data is fit for purpose and accuracy, consistency, and compliance with data governance standards, bringing attention to data governance teams any issues. Collaborate with Data Engineering to improve data collection, integration, and storage processes.
- **BI Systems Adoption**: Support BI adoption efforts through leadership, best practice sharing, and individual consultation across the business.
- **Learning and Development**: Remain current with the latest BI tools, industry trends, and emerging data analysis techniques that can further McCain’s analytical agenda.
- **Mentorship and Leadership**: Provide guidance and mentorship to junior analysts. Lead by example in terms of best practices in data modeling, requirements gathering, and BI.

**Educational Qualifications and Experience**:

- 6-10 years of experience working in data-driven environments, including data modelling
- Hold a bachelor’s or master’s degree in business administration or a STEM-based program
- Digital and Data Skills:

- Proven expertise in designing and implementing complex data models using Power BI, or with similar tools (e.g. Microstrategy, Qlik, Tableau)
- Proficient in DAX and SQL
- Knowledge of cloud platforms such as Azure or AWS, data warehousing, and business intelligence/rules design concepts and toolsets
- Excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize BI solutions.
- Solid fundamentals in the areas of performance tuning, modern data storage architecture, data analytics and reporting tools
- Experience in analyzing large and complex datasets (structured and unstructured), with a strong aptitude for conducting quantitative and qualitative analysis
- Develop advanced dashboards using Power BI, demonstrating data visualization and business intelligence (BI) best practices
- Understanding of data governance principles and requirements gathering best practices
- Nice to have: Experience of Azure Data Platform
- Nice to have: Working knowledge of another programming language (Python, R)
- Data Literacy and Communication:

- Solid understanding of how data systems are designed and ability to work with data engineers and data architects
- Ability to translate non-technical business requirements into technical / BI solutions
- Strong ability to actively listen and understand the needs of business users/customers and work with functional groups
- Excellent facilitator, well organized with highly effective written and verbal communication skills
- Strong business partnering: ability to engage, interact, influence, and be a trusted and credible internal adviser

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