What are the responsibilities and job description for the Sr Data Analyst position at Randstad Digital Americas?
Job Summary
We are seeking a highly skilled Senior Data Analyst to join our Card Risk Organization, specifically focusing on Regulatory Monitoring. You will be responsible for maintaining Business-As-Usual (BAU) operations, ensuring data integrity for regulatory compliance, and troubleshooting complex legacy scripts. This role requires an independent problem-solver who can navigate large-scale data environments like Snowflake and Databricks.
location: McLean, Virginia
job type: Contract
salary: $54.93 - 60.79 per hour
work hours: 9am to 5pm
education: Bachelors
Responsibilities
Partner with Card Risk - Adherence Quality Assurance (AQA) team to deliver on their regulatory control monitoring, data governance and automation agenda
Communicating with stakeholders to understand data content and business requirements
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Troubleshooting, debugging, maintaining and improving existing reporting solutions
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Build and execute tools to monitor and report on data quality
Qualifications
Required Qualifications
Experience: 3 years of professional experience in data analysis or engineering.
Technical Proficiency
Advanced Python & SQL: Must be able to write and debug complex queries and scripts.
Platforms: Mandatory experience with Snowflake and Databricks.
OOP: Solid understanding of Object-Oriented Programming.
Analytical Skills: Ability to troubleshoot and "reverse engineer" old scripts independently.
Big Data: Functional knowledge of Spark.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
We are seeking a highly skilled Senior Data Analyst to join our Card Risk Organization, specifically focusing on Regulatory Monitoring. You will be responsible for maintaining Business-As-Usual (BAU) operations, ensuring data integrity for regulatory compliance, and troubleshooting complex legacy scripts. This role requires an independent problem-solver who can navigate large-scale data environments like Snowflake and Databricks.
location: McLean, Virginia
job type: Contract
salary: $54.93 - 60.79 per hour
work hours: 9am to 5pm
education: Bachelors
Responsibilities
Partner with Card Risk - Adherence Quality Assurance (AQA) team to deliver on their regulatory control monitoring, data governance and automation agenda
Communicating with stakeholders to understand data content and business requirements
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Troubleshooting, debugging, maintaining and improving existing reporting solutions
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Build and execute tools to monitor and report on data quality
Qualifications
Required Qualifications
Experience: 3 years of professional experience in data analysis or engineering.
Technical Proficiency
Advanced Python & SQL: Must be able to write and debug complex queries and scripts.
Platforms: Mandatory experience with Snowflake and Databricks.
OOP: Solid understanding of Object-Oriented Programming.
Analytical Skills: Ability to troubleshoot and "reverse engineer" old scripts independently.
Big Data: Functional knowledge of Spark.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Salary : $55 - $61