Data Analyst

About the Role

Key Responsibilities

• Performs data mining and customer analysis to support business decisions.
• Researches, compiles, and performs complex analysis on customer, account, transactional, and behavioral data using tools such as SQL Assistant, Databricks, Power BI, Salesforce Data Cloud, etc.
• Creates engaging presentations to communicate results to management and executive audiences.
• Builds effective business partnerships with all levels of team members and serves as a liaison between business units, technology teams, finance, and support teams.
• Tracks down programs, data sources, and crafts queries to power analysis and modeling projects.
• Designs and develops data visualization solutions according to business requirements.
• May train, coach, or direct lower-level analysts.
• Ensures data accuracy and integrity by maintaining necessary processes, controls, and procedures.
• May perform regression, risk, and driver analyses to answer business questions.
• Works with data scientists to develop complex audience sampling and predictive models.
• Defines issues and information needs with business partners and translates them into technical requirements or surveys.
• Maps customer experience issues into current and future state journey maps to support process and product improvements.
• Adheres to policies, procedures, laws, regulations, and risk limits, raising concerns as needed.

Requirements

• Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, or a related quantitative discipline, or an equivalent combination of education and experience.
• 4-5 years of hands-on experience in data wrangling, reporting, analytics, data programming, or related technical fields in consumer data and marketing databases.
• Knowledge of industry-standard business practices, products, and services.
• Proficiency with MS Word, MS Excel, MS PowerPoint.
• Technical skills using tools such as SQL Assistant, SAS, R, Python, Databricks, PowerBI, Salesforce, etc.
• Ability to work with fluid priorities and tight deadlines.
• Exceptional analytical, problem-solving, and conceptual skills with high attention to detail.
• Strong communication skills, both verbal and written, with the ability to present complex data clearly.
• Demonstrated data management skills in large and complex database environments.

Nice to Have

• Experience in the financial services industry.
• Knowledge of regression, driver analysis, and complex data modeling principles.
• Experience with cloud-based marketing campaign management systems, performance analytics, and attribution analysis.