Analyst
Mitchell Martin
New York, NY
Title: Data Analyst
Location: New York, NY
Employment Type: Contract - 6 months
Compensation
Pay Range:$30.05-$44.20 per Hr
Description
- Analyze and monitor money movement and trade activities.
- Perform data engineering tasks and support data science use cases.
- Integrate real-time services to process business events.
- Conduct advanced analytics to solve complex problems.
- Work across all phases of the software development lifecycle.
- Communicate effectively with team members and stakeholders.
Key Responsibilities
- Develop and optimize database infrastructure.
- Tune query performance for optimal database efficiency.
- Ingest and process data for analysis and reporting.
- Ensure service integration and data persistence in real-time.
- Derive features for machine learning model inference.
Qualifications
- At least 3 years of experience in trade monitoring with financial services.
- 8 years of overall experience with 3 years in architecture.
- Experience in developing and optimizing databases.
- Proficient in programming for data engineering tasks.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
Core Technologies
Database Management | Data Engineering | Real-time Processing | Advanced Analytics
Contact Information
Neeti Negi,NNegi@itmmi.com
Benefits
Learn more about our benefits offerings here (https://www.mitchellmartin.com/careers/benefits-perks)
EEO Statement
Learn more about our EEO policy here (https://www.mitchellmartin.com/eoe-statement)
About the Company
Mitchell Martin
OUR FOCUS IS GROWTH
It’s not just about filling job openings. It’s about enabling growth and inspiring success. That’s what we do.
Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines. We help drive success for both people and companies by helping them achieve positive growth. We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.