Corporate Strategy - Sr Analyst I - Business Analytics (Hybrid in Sacramento, CA)
Golden 1 Credit UnionAbout the role
Our headquarters in Sacramento contains the core functions that support our mission to deliver financial solutions with value, convenience and exceptional service to our members.
TITLE: SR ANALYST I – BUSINESS ANALYTICS
STATUS: EXEMPT
REPORT TO: MANAGER BUSINESS ANALYTICS
DEPARTMENT: CORPORATE STRATEGY
JOB CODE: 11466
PAY SCALE: $111,800.00 - $115,000.00 ANNUALLY
GENERAL DESCRIPTION:
The Senior Analyst I provides analytical support to our business partners. You will work closely with credit union personnel and business partners to transform data into insights that improve and advance our products, services and/or business processes. Also, you will help guide strategic development with leadership by gathering, preparing, and analyzing information to identify trends, summarize patterns, and provide data driven recommendations.
This is a senior level analyst with Golden 1 Credit Union, and you will work with leadership or other analysts on highly complex analysis that impact corporate strategy using our data. As a thought leader in the analytics space, you will function as a subject matter and technical expert amongst the team and business partners. Projects will require the use of critical thinking and communication to complete, along with technical skills including SQL and PowerBI. An understanding of how to use SAS Enterprise Guide, R or Python for statistical work or data manipulation is also expected.
TASKS, DUTIES, FUNCTIONS:
• Conduct complex analysis using advanced analytics methodologies
• Deploy advanced analytics solutions
• Create data stories from disparate and raw data sources that enable data driven decision making
• Use statistical concepts and algorithms and tools to find causation, patterns, and trends
• Support junior analysts on technical problem solving and analytics best practices
• Support development of analytics best practices for the organization at scale
• Develop robust executive level data visualizations
• Lead requirements gathering sessions with internal and external stakeholders through interviews, use case identification, and workflow analysis
• Proactively review business needs and suggest research projects that will add value to the Credit Union
• Manage required ad hoc report preparation, analysis, and presentation to management as reference for strategic decisions, committee review and other information requests
• Ensure compliance with applicable standards, rules, regulations, and systems of internal control
• Review and maintain an understanding of current and future economic landscape and internal and external influence
• Assist with signoff of reporting and analysis prior to release to the line of business
PHYSICAL SKILLS, ABILITIES, AND EXERTION UTILIZED IN THE PERFORMANCE OF THESE TASK:
1. Effective oral and written communication skills required to assist other staff, share reports, coach staff, communicate clearly with management, and perform other related tasks.
2. Must possess sufficient manual dexterity to skillfully operate standard office equipment, such as financial calculators, personal computer, and telephone.
ORGANIZATIONAL CONTACTS & RELATIONSHIPS:
1. INTERNAL: All levels of staff and management.
2. EXTERNAL: Vendors, other financial institutions, business partners and industry peers.
QUALIFICATIONS:
1. EDUCATION:
◦ Requires a bachelor's degree in area of specialty (Accounting, Mathematics, Business Administration, Information Technology, or similarly quantitative/analytical degrees). Equivalent work experience with required knowledge/skills may be substituted for degree.
2. EXPERIENCE:
◦ 8+ years or more of progressive banking/credit union experience
◦ 8+ years of Analytical Experience
◦ Knowledge of commonly used concepts, practices, and procedures within credit union operations
3. KNOWLEDGE / SKILLS:
◦ Technical Skills
◦ Required-Expert knowledge in the following systems/applications:
▪ Microsoft Power BI - Building Visuals using existing Datasets, Power BI Desktop to build datasets and complex reporting and DAX Programming
▪ SQL Programming - Select Statements, Joins, Aggregating Data, temp tables, and complex querying
▪ Microsoft Excel- Formulas, functions, pivot tables, dashboard creation, data connections and automation with macros
◦ Preferred- knowledge in the following systems/applications:
▪ SAS Enterprise Guide - Data Manipulation and transformation, data aggregation using the GUI tool, basic SAS programming.
▪ Python and/or R Programming – Machine learning, quantitative analysis and data modeling
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