Market Risk Analyst

Matlen Silver; Jersey City (NJ); On-site; USD 85,000 - 120,000; Full time

Job summary

Matlen Silver in Jersey City, NJ seeks a data analytics professional to partner with business users, SMEs, and stakeholders to define data requirements and ensure data quality. The role focuses on gathering data from multiple sources, cleaning, transforming, and preparing it for analysis.

You will develop and maintain reports and dashboards using Alteryx, Tableau, or Power BI to visualize data and support informed decision-making. Strong communication and problem-solving are essential.

Qualifications

• Understand data requirements and translate into reports.
• Gather, clean, and transform data from diverse sources.
• Identify data quality issues and resolve them.
• Explain technical information to non-technical audiences.

Responsibilities

• Collaborate with business users and SMEs to define metrics.
• Produce accurate reports supporting decision-making.
• Troubleshoot data issues with IT and other teams.
• Provide ad-hoc data analysis as needed.

Skills

Data analytics

Data quality

Stakeholder communication

Requirements gathering

Analytical thinking

Education

Bachelor's degree in data/analytics field

Tools

Alteryx

SQL

Python

Tableau

Power BI

Job description

BA in reporting space with good data analytics skills:

• Work with business users, SMEs, and other stakeholders to understand data requirements, gather feedback, and ensure data quality.
• Gather data from various sources, ensuring accuracy and relevancy. Clean, transform, and prepare data for analysis.
• Analyze data from various sources to identify trends and patterns.
• Develop and maintain reports and dashboards using Alteryx or other tools (e.g., Tableau, Power BI) to visualize data and support business decision-making.
• Identify and resolve data-related issues and challenges.
• Collaborate with IT and other departments to troubleshoot technical issues and coordinate data projects.
• Ability to effectively communicate technical information to both technical and non-technical audience.
• Provide ad-hoc data analysis and support to business functions as needed.
• Proficiency in Alteryx, SQL, and other relevant data tools and technologies.
• Python knowledge.
• Strong analytical and problem-solving skills.
• Prior experience and understanding of Enterprise Market Risk/ Finance systems would be beneficial & preferred.