Remediation Analytics Specialist

The Judge Group; United States; Remote; USD 65,000 - 75,000; Full time

Job summary

A leading company is seeking a Data Analyst for their Remediation Analytics team, focusing on data analytics to calculate refunds for card customers. This remote role involves collaboration with business partners and advanced analytical techniques to solve business problems and enhance performance metrics.

Qualifications

• Strong proficiency in SQL and SAS.
• Experience in data analytics and working with large datasets.

Responsibilities

• Execute analytical initiatives in collaboration with management.
• Create reports and dashboards to monitor performance metrics.
• Lead the development of advanced analytics and machine learning algorithms.

Skills

SQL

SAS

Data Analytics

Problem Solving

Job description

Direct message the job poster from The Judge Group

Our client is currently seeking a Data Analyst for their Remediation Analytics team.

W2 Only

100% remote

Remediation Analytics team, specializing in calculating refund amounts for card customers affected by errors. This role involves heavy data analytics and requires collaboration with business partners to understand various business areas, issues, and pertinent data. You will work closely with Business Risk to determine action plans for each restitution and calculate necessary refunds.

Responsibilities:

• Execute analytical initiatives in collaboration with management.
• Solve business problems using segmentation, optimization, advanced analytics, and machine learning.
• Create reports and dashboards to monitor performance metrics and provide insights.
• Lead the development and implementation of advanced analytics, including customer segmentation, optimization, prescriptive analytics, and machine learning algorithms.
• Serve as a subject matter expert on statistical analysis, experimental design, analysis methodology, modeling, and financial impact analysis.
• Develop and automate reports, build and prototype dashboards to provide insights at scale.

Qualifications:

• Strong proficiency in SQL and SAS.
• Detail-oriented with a strong focus on accuracy.
• Experience in data analytics and working with large datasets.
• Ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and ability to manage multiple priorities.

Preferred Qualifications:

• Experience with machine learning and advanced analytics techniques.
• Familiarity with business risk and restitution processes.

Rate: $65-75/HR

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst, Finance, and Information Technology

• Industries

  Banking and Financial Services

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