Job Description

Job Title: Senior Data Analyst

Location: New York, New York

Duration: 6 months, Full-time (5 days per week)

We are seeking a highly skilled Senior Data Analyst to support data management and strategic business activities by performing in-depth data analysis, developing insights, and improving data quality. The ideal candidate will have a strong background in working with large datasets, proficiency in SQL, and experience collaborating with stakeholders to document and address business requirements.

• Conduct in-depth analyses to support both short-term and long-term data management initiatives.
• Perform data mining on large datasets to identify trends and improve data quality.
• Create and integrate datasets from diverse sources to support data management strategies.
• Partner with stakeholders to document business requirements and deliver data-driven solutions.
• Present data insights and reports to facilitate business reviews and strategic planning.
• Develop and recommend actionable business solutions based on thorough research and analysis.
• Design and enhance processes aligned with data governance best practices.
• Implement and manage Data Management lifecycle tools.
• Support master data and reference data management programs or tools.
• Apply creativity and problem-solving skills to optimize existing processes and develop new ones.
• Leverage project management tools (e.g., Jira, Confluence, Microsoft Project, Trello, SmartSheet) to organize and visualize tasks effectively.
• Adapt to various project management methodologies, including Scrum, Kanban, Waterfall, and SAFe.

• Bachelor's degree in Information Science, Computer Science, or a related field.
• Minimum 4 years of experience in data analysis, specifically in data management or governance initiatives.
• Proficiency in SQL and relational database structures.
• Experience with statistical analysis tools such as SAS, SPSS, or R (preferred).
• Strong ability to interpret data and present actionable insights to stakeholders.
• Familiarity with implementing and managing master or reference data programs.

• Knowledge of advanced statistical techniques and tools.
• Practical experience with statistical software, such as SAS, SPSS, or R.
• Strong understanding of data governance principles and practices.

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