Senior Data Analyst (Real Estate Lending)

Navy Federal • Pensacola, FL

1d

About The Position

Partner with business stakeholders and business analysts to develop data products and metric models that capture current business process, data requirements, and perform data collection, processing and cleaning. These models will support complex data science and business intelligence projects and will enable analytics on large data sets to support departmental and organizational objectives. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and analysis techniques.

Requirements

• 5-7 years of experience in data analysis and reporting
• Complete knowledge and understanding of business area/specialization
• 2-4 years of experience in Power BI Service Model development and report development
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Effective skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage
• Advanced skill with statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques
• Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources (e.g., PySpark, Power BI)
• Strong understanding of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Nice To Haves

• 2-5 years of experience in Azure Data Factory or SSIS

Responsibilities

• Develop data models and metric models in Power BI Service and Databricks. Focused on developing a golden semantic model layer to increase consistency and governance.
• Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, and integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability
• Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level