Senior Data Remediation Analyst

Summary:

The Data Remediation team at Bread Financial is responsible for quality and compliance of data that is used across multiple business functions. The Senior Data Remediation Analyst is part of the Data Remediation team and provides clean data that will help the other analytical teams provide guidance to our partners.

Minimum Qualifications:

• Bachelors degree in statistics, mathematics, computer science, information systems, economics, finance, marketing, business or related field of study; or equivalent experience. 

• 5+ years of experience in statistics, mathematics, computer science, information systems, economics, finance, marketing, business or similar field

Preferred Qualifications:

• Masters degree in statistics, mathematics, computer science, information systems, economics, finance, marketing, business or related field of study.

• Maximum of 8 years of experience in statistics, mathematics, computer science, information systems, economics, finance, marketing, business or similar field.

• Python Experience

• Experience with payment, lending & savings or similar financial products.

• Experience with key metrics related to Program/ Portfolio Management

Knowledge, Skills and Abilities:

• Languages: SQL, Python 

• Visualization: MicroStrategy, Power BI

 • Databases & Cloud: Azure Databricks

 • Version control: Git 

• Data analysis, data analytics, relational database and statistical analysis

 • Business Problem Formulation 

• Advanced Excel

Essential Job Functions:

Create and Design - Prepare and check quality of data, which the analytical team uses to create designs and support analysis in delivering quantitative and qualitative offerings in relation to the attributes and behaviors of the end customer. This includes, but is not limited to, custom demographic, geographic, financial and lifestyle profiles; transactional, shopping and interaction activities; behavior hypothesis testing, and data mining and customized reporting and analysis. Participate in strategic projects to identify enhancements to the Data Remediation team process and offerings that have a positive impact on Bread Financials ability to analyze information on clean and robust data. Apply knowledge of Microsoft Office tools, SQL, Python to execute daily work.

Data Visualization & Storytelling: Creating interactive dashboards and presenting complex findings using Microstrategy or Power BI to drive decisions.

Review and Evaluate - Extract data from a variety of customized sources, with a number of tools, and navigate and pull logical meaning around the data. Find and extract the needed data (Design), structure the output (Create), understand what it means and implies (Evaluate), turn the data into information (Optimize), and provide the results and recommendations (Deliver) directly to internal partners and third parties to directly impact business decisions. Stakeholder Management & Collaboration - Proactively identify opportunities and communicate progress and status to key stakeholders. Present results to key stakeholders and leadership and bring feedback to the team. Independently manage and enhance relationships with business functional areas. Foster and lead collaboration effort among team members and across functional areas.

Team Support – Build and maintain robust processes to enhance the quality of functional and technical deliverables in the team. Solve problems and make decisions with sound judgement. Provide continuous feedback on the overall project deliverable and raise concerns on bottlenecks that might be stalling the project.