Principal Data Analyst - Risk Product Data

Description

The company built its early business on personalizing every credit card offer with statistical modeling and relational databases, and it now operates as a large financial company that relies heavily on data for decisions.

As a Data Analyst here, you will combine analytical and technical skills to build and maintain well-managed data solutions that address business problems.

Responsibilities

• Work across three areas: innovation, business intelligence, and data management.
• Innovation: use open source and digital tools to mine large, complex, and varied data sources and platforms.
• Innovation: build well-managed data solutions, tools, and capabilities that let data consumers serve themselves.
• Innovation: learn new technologies quickly and apply them across different initiatives.
• Business intelligence: advise business partners and turn their needs into tools, techniques, metrics, and dashboards for insight and visualization.
• Business intelligence: run analyses that yield meaningful insights on business strategy.
• Data management: promote understanding and adherence to data quality principles, including metadata, lineage, and business definitions.
• Data management: work with the relevant technology teams to manage security controls and data access governance.
• Data management: build and run tools that monitor and report on data quality.

Requirements

• A degree in a science, technology, engineering, or mathematics field.
• Scripting experience in Python, R, Spark, and SQL.
• Strong interest in and experience with data in many forms, including data warehouses, SQL, and unstructured data.
• Experience using and building on AWS services.
• Required: a bachelor's degree in a quantitative field (statistics, economics, operations research, analytics, mathematics, computer science, or a related field) and at least 5 years of data analytics experience, or a master's degree and at least 3 years of data analytics experience, with the degree to be completed on or before the scheduled start date.
• Required: at least 3 years of experience with at least one scripting language.
• Required: at least 3 years of experience with a business intelligence visualization tool.
• Required: at least 3 years of experience querying, analyzing, and working with data languages and platforms.
• Preferred: a master's degree in a science, technology, engineering, or mathematics field.
• Preferred: at least 4 years of coding in Python, R, Spark, or SQL.
• Preferred: at least 4 years of experience with process management and improvement methods such as Agile, Lean, or Six Sigma.
• Preferred: at least 2 years of using and building on AWS services.
• Preferred: at least 2 years of delivering data governance and data quality management practices within financial services.

Conditions

The company will consider sponsoring a new qualified applicant for employment authorization for this role.

This is a hybrid role, and you must follow the company's hybrid policy on required on-site presence at your office location.

Full-time annual base salary ranges by location: Plano, TX: $119,400 to $136,200; McLean, VA: $131,300 to $149,800; Richmond, VA: $119,400 to $136,200; Riverwoods, IL: $119,400 to $136,200. These are the Principal Data Analyst ranges and reflect what the company is willing to pay when the posting is made.

Candidates hired into other locations receive the pay range for that location, and the exact salary appears in the offer letter.

Part-time pay is prorated based on the agreed number of regular hours.

Applications will be accepted for at least 5 business days.

Applications from agencies are not accepted.

The company is an equal opportunity employer and complies with applicable laws, including those on criminal background inquiries.

Benefits

• Performance-based incentive pay may be offered, including cash bonuses and/or long-term incentives, and may be discretionary or non-discretionary depending on the plan.
• A broad package of health, financial, and other benefits is offered, with eligibility depending on full or part-time status, exempt or non-exempt status, and management level.