Hello
Position: Data Analyst/Data Modeler
Location: Jersey City NJ (3 Days onsite/ week)
Duration: Full-Time
Job Description:
- Need profiles with Trading and Security experience.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.
- Analyze existing data sources to identify data elements relationships and inconsistencies.
- Design develop and maintain canonical data models and schemas including positions trades collateral and market data.
- Ensure data quality accuracy and integrity within the data models implementing data validation rules and monitoring data flows.
- Work closely with data architects developers and other analysts to implement data models in various technology platforms.
- Document data definitions data lineage business rules and technical specifications for the canonical data models.
- Perform data analysis and extract insights from large datasets using tools like SQL Excel and potentially Python or R.
- Create reports dashboards and visualizations to support data governance data quality and business understanding of securities finance data.
- Participate in testing and validation of data models and data transformations.
Qualifications Required:
- A Bachelors degree in a relevant field such as Finance Economics Computer Science or Information Systems is required.
- Candidates should have at least 3 years of experience in data or financial analysis preferably within financial services.
- A strong understanding of securities finance including lending borrowing and collateral management is essential.
- Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.
- Experience with data modeling tools and methodologies as well as familiarity with database concepts is also necessary.
- Essential soft skills include strong analytical and problem-solving abilities with attention to detail.
- Excellent communication skills for explaining complex data and the ability to collaborate effectively in a team environment.
- A proactive and continuous learning mindset is also value.
Hello Position: Data Analyst/Data Modeler Location: Jersey City NJ (3 Days onsite/ week) Duration: Full-Time Job Description: Need profiles with Trading and Security experience. Collaborate with business stakeholders to understand data requirements and translate them into technical speci...
Hello
Position: Data Analyst/Data Modeler
Location: Jersey City NJ (3 Days onsite/ week)
Duration: Full-Time
Job Description:
- Need profiles with Trading and Security experience.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.
- Analyze existing data sources to identify data elements relationships and inconsistencies.
- Design develop and maintain canonical data models and schemas including positions trades collateral and market data.
- Ensure data quality accuracy and integrity within the data models implementing data validation rules and monitoring data flows.
- Work closely with data architects developers and other analysts to implement data models in various technology platforms.
- Document data definitions data lineage business rules and technical specifications for the canonical data models.
- Perform data analysis and extract insights from large datasets using tools like SQL Excel and potentially Python or R.
- Create reports dashboards and visualizations to support data governance data quality and business understanding of securities finance data.
- Participate in testing and validation of data models and data transformations.
Qualifications Required:
- A Bachelors degree in a relevant field such as Finance Economics Computer Science or Information Systems is required.
- Candidates should have at least 3 years of experience in data or financial analysis preferably within financial services.
- A strong understanding of securities finance including lending borrowing and collateral management is essential.
- Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling.
- Experience with data modeling tools and methodologies as well as familiarity with database concepts is also necessary.
- Essential soft skills include strong analytical and problem-solving abilities with attention to detail.
- Excellent communication skills for explaining complex data and the ability to collaborate effectively in a team environment.
- A proactive and continuous learning mindset is also value.
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