Job Title: Senior Data Analyst
Location: New York New York
Duration: 6 months Fulltime (5 days per week)
Job Description 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.
Key Responsibilities - 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.
Qualifications - 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.
Preferred Skills: - 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.