Hybrid Senior Business Analytics Analyst

at Logix Federal Credit Union

• Job title: Senior Business Analytics Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: $91,676 - $142,097 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, Tableau
• Location requirements: Hybrid, Valencia, United States

About the role

• Senior Business Analytics Analyst creating complex analytics solutions for data-driven decision making at Logix Federal Credit Union. Working closely with stakeholders to advise on data utilization for business objectives.

Responsibilities

• Creates compelling visualizations and stories with data using Tableau, PowerBI, and other data visualization tools to pull present and analyze data from disparate sources.
• Uses user-centered design principles when creating dashboards and BI tools, working closely with end-users throughout the development process to ensure high-quality user experience.
• Drives efforts to develop self-service tools to allow users throughout the organization to quickly pull and analyze data from the central data repository and data marts.
• Possesses strong mathematical and logic skills to derive insights from large data sets, using various techniques such as statistical analysis and data mining.
• Provides leadership throughout the iterative data development process to ensure final data models contain accurate and appropriate data for analysis.
• Manages and maintains BI tools, such as Tableau, including monitoring performance, coordinating necessary upgrades, and staying abreast of new features and functions.
• Assists with establishing best data visualization best practices and standards, ensuring all production dashboards and visuals adhere to specified standards.
• Creates monthly and quarterly financial reporting for various departments, the Board, and NCUA.
• Has extensive knowledge and expertise with Accounting, Finance, and Lending, utilizing domain expertise to build effective analytics tools and reporting.

Requirements

• BA/BS degree in Math & Statistics, Information Systems, Computer Science, Data Analytics, Engineering, or Data Science
• Master’s degree preferred.
• Minimum of 5 years in data analysis, profiling, data manipulation, data mining, data extraction, data enrichment.
• Professional experience with visualization tools and report development, dashboard creation, pivot tables, and data analytics.
• Proficient with Tableau, PowerBI, MicroStrategy or similar tools.
• Experience with statistical modelling and understanding of Machine Learning.
• Excellent understanding of analytical methods and regression models, and advanced analytics software (SAS, R, Python, Data Robot and others).
• Experience working with stakeholders in gathering requirements and writing technical specifications.