Senior Data Analyst

Description

The company built its early business on personalised credit card offers, using statistical modelling and relational databases, and has since grown into a large financial firm that relies heavily on data-driven decisions.

This role uses analytical and technical skills to build and maintain well-managed data solutions and capabilities that address business problems.

Your work spans 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 advise on needs and turn them into tools, techniques, metrics and dashboards for insight and visualisation.
• Carry out analysis that yields meaningful insight into business strategy.
• Uphold 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.
• Strong interest in and experience with data in many forms, such as data warehouses, SQL and unstructured data.
• Experience using and developing within Snowflake services.
• Either a bachelor's degree in a quantitative field such as 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 in progress or completed by the scheduled start date.
• At least 1 year working with a scripting language.
• At least 1 year using a business intelligence visualisation tool.
• At least 1 year querying, analysing and working with data languages and platforms.
• Preferred: a master's degree in a science, technology, engineering or mathematics discipline.
• 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 developing within AWS services.
• Preferred: at least 1 year working with data governance, data quality management concepts and data quality tools such as Informatica DQ.

Conditions

The company will consider sponsoring a new qualified applicant for employment authorisation for this position.

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

Full-time annual base salary ranges by location: McLean, VA is $111,200 to $126,900 and Richmond, VA is $101,100 to $115,400, both for the Sr. Data Analyst title.

Candidates hired in other locations will be paid the range for that location, and the exact salary appears in the offer letter.

Part-time salaries are prorated based on the agreed weekly hours.

Applications will be accepted for at least 5 business days.

No agencies. The company is an equal opportunity employer and considers applicants with criminal histories in line with applicable law.

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.
• Access to health, financial and other benefits. Eligibility depends on full or part-time status, exempt or non-exempt status and management level.