Job Description

Job Title: Senior Data Analyst

Location: New York New York

Duration: 6 months Fulltime (5 days per week)

We are seeking a highly skilled Senior Data Analyst to support data management and strategic business activities by performing indepth 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 indepth analyses to support both shortterm and longterm 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 datadriven 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 problemsolving 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.

• Bachelors 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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