Data Analyst

The ideal candidate will have expertise in gathering, analyzing, and translating data into actionable insights. The role requires proficiency in Power BI, Python, SQL, Azure SQL DW, and data visualization tools . Responsibilities include working with business and technology teams to define data requirements, ensuring data quality, and developing analytical solutions to support business decisions.

This full-time hybrid position is ideal for professionals with experience in data analysis, data governance, and business intelligence solutions . Candidates with a strong analytical mindset and problem-solving skills will thrive in this role.

Key Responsibilities:

• Gather and validate business, technology, and data requirements to define project scope and impact.

• Translate high-level business requirements into functional, non-functional, and data specifications .

• Lead Program Increment sessions with stakeholders to align priorities with strategic goals.

• Ensure data quality, accuracy, and governance while managing metadata and approvals.

• Develop and guide the implementation of technical solutions in collaboration with data engineers.

• Work with Enterprise Architects to create data models aligned with organizational standards.

• Utilize Power BI, Python, and Azure to develop analytics solutions and working prototypes.

• Manage team-to-team dependencies and collaborate with capability teams.

Educational Requirements:

• Bachelor s degree in Computer Science, Information Systems, or a related field.

Experience Requirements:

• Experience in data analysis, data governance, and business intelligence tools .

• Familiarity with SAP systems (ECC, CRM, Hybris) and financial processes like General Ledger and Profitability Analysis.

Technical Skills:

• Expertise in Power BI, Python, SQL, Azure SQL DW, ADF, ADLS G2, AAS .

• Strong understanding of data modeling, analytics methodologies, and visualization tools .

• Knowledge of Planning applications (Hyperion, EPM) and data integration frameworks .

Preferred Skills:

• Experience in cloud-based analytics (Azure, AWS, or GCP) .

• Knowledge of machine learning, statistical analysis, and automation of data workflows .

• Understanding of data privacy, security, and compliance standards .

Why Consider This Role

• Career Growth: Work in a dynamic environment with a leading global technology company.

• Hybrid Work Model: Enjoy a balance of remote and office work.

• Collaborative Culture: Partner with talented professionals in a forward-thinking team.

• Employee Benefits: Competitive compensation, professional development, CSR initiatives, and 24/7 employee assistance support