Senior Data Analyst - Emerging Payments & AirKey

Description

The company began as a startup that used statistical modeling and relational databases to tailor each credit card offer to the individual customer, starting in 1988.

It has since grown into a Fortune 200 company that leans heavily on data to make decisions.

In this hybrid Data Analyst role, you will apply analytical 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 tools to mine large, complex and varied data sources and platforms.
• Build well-managed data solutions, tools and capabilities that let data consumers serve themselves.
• Pick up new technologies quickly and apply them across different initiatives.
• Work with business partners to understand their needs, then design and build tools, techniques, metrics and dashboards for insight and visualization.
• Run analysis that gives meaningful insight into business strategy.
• Promote understanding of and compliance with data quality principles, including metadata, lineage and business definitions.
• Work with technology teams on security mechanisms and data access governance.
• Build and run tools that monitor and report on data quality.

Requirements

• Degree in a science, technology, engineering or mathematics field.
• Scripting experience in Python, R, Spark and SQL.
• Hands-on experience with data in many forms, such as data warehouses, SQL and unstructured data.
• Experience using and building within Snowflake services.
• Hold a bachelor's degree in a quantitative field such as statistics, economics, operations research, analytics, mathematics, computer science or a closely related area, plus at least 2 years of data analytics experience. Alternatively, hold or be working toward a master's degree, with the required degree completed by the scheduled start date.
• 1 year of scripting experience in at least one language.
• 1 year of experience with a business intelligence visualization tool.
• 1 year of experience querying, analyzing and working with data languages and platforms.
• Preferred: master's degree in a science, technology, engineering or mathematics discipline.
• Preferred: 2 years of coding experience in Python, R, Spark or SQL.
• Preferred: 2 years of experience with process management and improvement methods such as Agile, Lean or Six Sigma.
• Preferred: 1 year of experience using and building within AWS services.
• Preferred: 1 year of experience with data governance, data quality concepts and data quality tools such as Informatica DQ.

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.

Full-time annual salary ranges: McLean, VA $111,200 to $126,900 and New York, NY $121,300 to $138,400, both for Sr. Data Analyst.

Hires in other locations are paid the range for that location, and the exact salary is stated in the offer letter.

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

These ranges reflect what the company is willing to pay at the time of posting and apply only to work in the listed locations.

Applications will be accepted for at least 5 business days.

Agencies are not accepted.

The company is an equal opportunity employer including disability and veterans, is a drug-free workplace, and considers applicants with criminal histories in line with applicable law.

Roles posted in Canada, the United Kingdom and the Philippines are employed by separate local entities of the company.

Benefits

• Health, financial and other benefits, with eligibility depending on full or part-time status, exempt status and management level.
• Performance-based incentive compensation, which may include cash bonuses and or long-term incentives, and may be discretionary or non-discretionary depending on the plan.