Senior 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 has since grown into a large financial firm that relies heavily on data for decisions.

As a Data Analyst you will use analytic and technical skills to build and maintain well-managed data solutions that address business problems.

Your work covers three areas: innovation, business intelligence, and data management.

Responsibilities

• Use open source and digital technologies to mine complex, high-volume data from varied sources and platforms.
• Build well-managed data solutions, tools, and capabilities that let data consumers serve themselves.
• Learn new technologies quickly and apply them across different initiatives.
• Work with the business to understand its needs, then design and build tools, techniques, metrics, and dashboards for insight and visualization.
• Run analysis that yields meaningful insights on business strategy.
• Promote understanding and compliance with data quality principles, including metadata, lineage, and business definitions.
• Work with the relevant technology teams to manage security controls and data access governance.
• Build and run tools that monitor data quality and report on it.

Requirements

• A degree in a science, technology, engineering, or mathematics discipline.
• Scripting experience in Python, R, Spark, and SQL.
• Strong interest in and experience with data in many forms, such as data warehouses, SQL, and unstructured data.
• Experience using and developing on Snowflake.
• Either a bachelor's degree in a quantitative field (statistics, economics, operations research, analytics, mathematics, computer science, or a related field) plus at least 2 years of data analytics experience, or a master's degree with the required degree completed by the scheduled start date. You may currently hold the degree or be working toward it.
• At least 1 year of scripting in at least one language.
• At least 1 year using a business intelligence visualization tool.
• At least 1 year querying, analyzing, and working with data languages and platforms.
• Optional: a master's degree in a science, technology, engineering, or mathematics discipline.
• Optional: at least 2 years coding in Python, R, Spark, or SQL.
• Optional: at least 2 years working with process management and improvement methods such as Agile, Lean, or Six Sigma.
• Optional: at least 1 year using and developing on AWS.
• Optional: at least 1 year working with data governance and data quality concepts and tools, such as Informatica DQ.

Conditions

The company will consider sponsoring a new qualified applicant for work 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.

Full-time annual base salary ranges by location: McLean, VA is $111,200 to $126,900; Richmond, VA is $101,100 to $115,400; Chicago, IL is $101,100 to $115,400. These are the Senior Data Analyst ranges. Candidates hired elsewhere fall under that location's range, and the exact salary appears in the offer letter. Part-time pay is prorated to the agreed hours.

Applications will stay open for at least 5 business days.

The company is an equal opportunity employer and does not discriminate, and it considers applicants with criminal histories as the law requires.

Benefits

• Eligible for performance-based incentive pay, which may include cash bonuses and or long-term incentives, either discretionary or non-discretionary depending on the plan.
• A broad set of health, financial, and other benefits. Eligibility depends on full or part-time status, exempt or non-exempt status, and management level.