Principal Data Analyst - Analytics & Transformation

Description

The company builds its business on data. It began as a startup that personalized every credit card offer using statistical modeling and a relational database, and it has since grown into a Fortune 200 company.

In this role you will use analytic and technical skills to build and maintain well-managed data solutions and capabilities 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 give data consumers self-service frameworks.
• Learn new technologies quickly and apply them across different initiatives.
• Work with the business as a consultant, turning business needs into tools, techniques, metrics and dashboards for insight and data visualization.
• Run analysis that produces meaningful insights on business strategy.
• Promote understanding of, and adherence to, data quality management principles, including metadata, lineage and business definitions.
• Work with the relevant technology teams on security mechanisms and data access governance.
• Build and run tools that monitor and report on data quality.

Requirements

• A degree in a science, technology, engineering or mathematics discipline.
• Scripting experience in Python, R, Spark or SQL.
• Experience with data in many forms, including data warehouses, SQL and unstructured data.
• Experience using and building on AWS services.
• Either 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. If you hold a master's, you must expect to finish the required degree by the scheduled start date. You may currently hold the bachelor's degree or be in the process of earning it.
• At least 3 years of scripting experience in at least one language.
• At least 3 years of experience with a business intelligence visualization tool.
• At least 3 years of experience querying and analyzing data, and working with data languages and platforms.
• Preferred: a master's degree in a science, technology, engineering or mathematics discipline.
• 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 methodologies 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 concepts and practices in financial services.

Conditions

Hybrid role. You must follow the company's hybrid policy on required on-site presence at your assigned office.

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

Full-time annual salary ranges: McLean, VA $131,300 to $149,800; Richmond, VA $119,400 to $136,200. Both are for the Principal Data Analyst title.

Candidates hired in other locations receive the range for that location. The exact salary is stated in the offer letter.

Part-time salaries are prorated based on the agreed number of regular hours.

Applications will be accepted for at least 5 business days.

Equal opportunity employer. Candidates with criminal histories are considered in line with applicable laws.

Benefits

• Eligible for performance-based incentive compensation, which may include cash bonuses and or long-term incentives (LTI), either discretionary or non-discretionary depending on the plan.
• Comprehensive health, financial and other benefits. Eligibility depends on full- or part-time status, exempt or non-exempt status and management level.