Data Analytics Analyst

Join our dynamic team where we leverage cutting-edge technology to drive data-driven decisions. We are committed to empowering our customers with actionable insights and superior outcomes. We value innovation, integrity, and excellence.

Job Description:

We are seeking a dedicated and analytical Data Analyst to work on data and analytics organizations’ operations with 1 to 3 years of experience in the data field. The ideal candidate will manage vendor relationships, handle billing and invoice validation, oversee contracts, and track key metrics. This role requires strong analytical skills, excellent written and oral communication and presentation skills, attention to detail, and the ability to work collaboratively with various stakeholders.

Key Responsibilities:

• Coordinate with vendors to resolve issues, escalations, action plans, etc.
• Conduct surveys, gather feedback and present aggregated data in an organized way.
• Review and validate invoices from different vendors to ensure accuracy and compliance with contracts.
• Gather, maintain, and publish metrics for the organization working with the leadership team. Also, monitor performance and identify areas for improvement.
• Analyze data to support decision making and provide actionable insights.
• Prepare and present reports and presentations on organizational and operational areas.
• Ensure data integrity by verifying data regularly.
• Work closely with matrixed cross-functional teams to identify opportunities for process and efficiency improvements.

Qualifications and Skills:

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or a related field.
• Proficiency in Excel, including functions and macros.
• Strong analytical skills and attention to detail.
• Strong organizational and time management skills.
• Excellent verbal and written communication skills.
• Creative skills to put together presentations in MS PowerPoint.
• Ability to work effectively in a team environment and collaborate with various stakeholders at different levels in a matrixed team environment.
• Ability to adapt to changing priorities and manage multiple tasks simultaneously.
• Basic understanding of data governance, data quality, data engineering, data analytics, BI reporting, and data science is a plus.
• Background in working with cloud platforms such as AWS, Azure, or GCP is a plus.
• Familiarity with Agile methodology is a plus.