Senior Data Analyst - Card

Description

The company built its business on individually personalized credit card offers, using statistical modeling and relational databases, and has grown into a large public company known for data-driven decisions.

This role is a Data Analyst position that uses analytical and technical skills to build and maintain well-managed data solutions that address business problems.

The work falls into three areas: innovation, business intelligence and data management.

Responsibilities

• Use open source and digital tools to mine large, complex and varied data sources and platforms.
• Build well-managed data solutions, tools and capabilities that let data users serve themselves.
• Learn new technologies quickly and apply them to a range of projects.
• Work with business teams as a consultant, turning their needs into tools, techniques, metrics and dashboards that show insights through visualization.
• Run analysis that gives useful insight into business strategy.
• Apply data quality management principles, including metadata, lineage and business definitions.
• Work with technology teams on security mechanisms 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 field.
• Experience scripting in Python, R, Spark or SQL.
• Strong interest in and experience with data in many forms, such as data warehouses, SQL and unstructured data.
• Experience using and building on Snowflake services.
• Either a bachelor's degree in a quantitative field such as statistics, economics, operations research, analytics, mathematics, computer science or a related area, plus at least 2 years of data analytics experience; or a master's degree in progress or completed, with the required degree obtained by the scheduled start date. Currently pursuing the bachelor's degree also counts.
• At least 1 year working with a scripting language.
• At least 1 year using a business intelligence visualization tool.
• At least 1 year 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 2 years coding in Python, R, Spark or SQL.
• Preferred: at least 2 years working with process management and improvement methods such as Agile, Lean or Six Sigma.
• Preferred: at least 1 year using and building on AWS services.
• Preferred: at least 1 year working with data governance, data quality concepts and data quality 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. You must follow the company's hybrid policy on required time at your assigned office.

Base salary for a full-time role in McLean, VA is $111,200 to $126,900 per year. Other locations have their own ranges, and the exact offer appears in the offer letter. Part-time pay is prorated to the agreed hours.

The role is eligible for performance-based incentive pay, which may include cash bonuses and or long-term incentives. Incentives may be discretionary or non-discretionary depending on the plan.

Applications will be accepted for at least 5 business days.

No agencies. The company is an equal opportunity employer and complies with applicable laws, including those on criminal history inquiries.

This posting is for a specific the company entity depending on location: the company Canada for Canada, the company Europe for the United Kingdom, and the company Philippines Service Corp. for the Philippines.

Benefits

• Comprehensive health, financial and other benefits, with eligibility depending on full- or part-time status, exempt or non-exempt status, and management level.