Data Analyst

InfoPeople Corp
New York, NY, United States
4 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Data Auditing Data Validation Data Integrity Data Analytics Data Management

Job description

The IT Data Analyst will support data analytics and reporting for the client, ensuring data accuracy and integrity across platforms and systems. This role involves assisting in the creation, maintenance, and management of key metrics for senior leadership and other client stakeholders by leveraging various large data systems., * Data Analysis & Reporting: Generate executive summary reports highlighting key metrics and recommendations based on data analysis. Prepare compliance reports, ensuring all data and attributes are accurately presented using normalized data. Ensure all project-related data is accurately reconciled and available for client systems.

  • Stakeholder Coordination: Coordinate with key stakeholders to perform data analysis and ensure data accuracy and integrity across all platforms.

  • Process Improvement: Assist in developing and implementing strategies to improve data analysis processes. Automate regularly required reports.

  • Data Quality Assurance: Implement data quality checks and validation processes to ensure data integrity and reliability. Identify and resolve data discrepancies.

  • Data Documentation: Document data sources, methodologies, and analysis processes to ensure transparency and reproducibility.

  • Collaboration: Collaborate with cross-functional teams to facilitate the smooth execution of data-related tasks. Communicate and coordinate with client executives and stakeholders as needed.

Requirements

Experience:

  • 5+ years of experience in data analytics and reporting.

  • 5+ years of experience in customer service and client-facing roles.

Skills:

  • Proficiency with data analysis tools.

  • Strong communication and stakeholder management skills.

  • Detail-oriented with a focus on data accuracy, process improvement, and quality assurance.

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