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Senior Data Analyst

2 months ago

Pensacola, Florida, United States Navy Federal Credit Union Full time
About the Role

Navy Federal Credit Union is seeking a highly skilled Senior Data Analyst - Business Intelligence to join our team. As a key member of our Business Intelligence team, you will be responsible for developing and maintaining advanced reporting, dashboards, and data models to drive business insights and inform strategic decision-making.

Key Responsibilities
  • Develop and maintain complex data models and analytical results to support business intelligence and data-driven decision-making.
  • Evaluate and define functional requirements for analytics and business intelligence solutions to meet business needs.
  • Retrieve, analyze, and validate data to ensure accuracy and quality of reported results.
  • Collaborate with project leads to understand requirements and propose key analytics solutions to drive effective decision-making and influence business objectives.
  • Produce actionable reports that demonstrate key performance indicators, identify areas of improvement for current operations, and show root cause analysis of problems.
  • Analyze and summarize business operations, customer, and/or economic data to improve business intelligence, optimize operating effectiveness, and predict business outcomes.
  • Identify trends and patterns in business data; create data visualizations to support business decision-making.
  • Build new and/or modify existing database/data warehouse/data mart and business intelligence solutions to meet business and system requirements.
  • Collaborate with business units and senior management to conduct needs assessments to support business unit objectives.
  • Support complex Data Science and Big Data projects.
  • Effectively communicate data outcomes to business stakeholders and leadership.
  • Mentor and guide less experienced staff.
Requirements
  • Bachelor's degree in Business, Finance, Statistics, Information Systems, Computer Science, Data Science, Data Analytics, or a related field, or the equivalent combination of training, education, and experience.
  • Significant hands-on experience in the use of business intelligence tools such as PowerBI, Tableau, Cognos, Qlick, or similar.
  • Significant hands-on experience in the application of statistical methods, mathematical techniques, forecasting, cost-benefit analysis, related analytical tools, and programming languages (Python, R, SAS, or similar).
  • Advanced hands-on SQL skills for extraction, transformation, and analysis of data.
  • Advanced skill analyzing statistics and reports to determine business performance and trends.
  • Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling.
  • Significant experience that demonstrates the ability to research, compile, and document data, business processes, and workflow.
  • Advanced skill identifying and analyzing business requirements and recommending solutions.
  • Effective skill presenting findings, conclusions, alternatives, and information clearly and concisely.
  • Working knowledge of standard ETL tools and techniques.
  • Working knowledge of the process in sourcing raw data and cleansing techniques.
  • Working knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage.
  • Advanced skill in understanding and communicating data presented in models, charts, and tables and transforming it into a format that is useful to the business and aids effective decision-making.
  • Advanced skill in the use of measurement and statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events.
  • Advanced skill in understanding and analyzing models that predict the probability of an outcome.
  • Advanced knowledge of and the ability to perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques.
  • Significant experience in problem resolution including determining root cause, scope, and scale of issues.
  • Advanced skill in collecting and manipulating data used in effective decision-making.
  • Working knowledge of data models, design tools, and business/technical requirements.
  • Demonstrates a key understanding of multiple database concepts and data flows.
  • Working knowledge of mapping techniques and data pipelines.
  • Advanced Microsoft Excel skills.
Desired Qualifications
  • Advanced degree in Business, Finance, Statistics, Information Systems, Computer Science, Data Science, Data Analytics, or a related field.
  • Experience in Compliance, Operational Risk, Enterprise Risk Management, Audit, or similar.
  • Experience with cloud platforms (e.g., Azure).
  • Experience with anomaly detection techniques (e.g., unsupervised learning).
  • Advanced knowledge and experience working with SQL and managing relational databases.
  • Prior experience with SSIS or SSRS.
  • Working knowledge of Navy Federal Human Resources policies, procedures, and programs.