RHF (Retirement Housing Foundation) is hiring: Data Analyst in Long Beach

Join to apply for the Data Analyst role at RHF (Retirement Housing Foundation) Join to apply for the Data Analyst role at RHF (Retirement Housing Foundation) Get AI-powered advice on this job and more exclusive features. Job Summary The Job Summary The Data Analyst is responsible for ensuring the accuracy, integrity, and analysis of all RHFs system data. This position plays a pivotal role in creating reports and dashboards, collaborating with various departments to address data needs, and supporting issue resolution alongside IT vendors and consultants. The Data Analyst also ensures compliance with RHFs information security policies and maintains a strict commitment to confidentiality. We are currently seeking candidates who are local to Long Beach, CA, or Southern California residents who can reliably commute to our Long Beach office. Relocation assistance is not available for this position. Typical Duties And Responsibilities Dashboard Creation & Maintenance: Develop and manage dashboards to visualize key metrics and KPIs. Data Reconciliation: Establish procedures to ensure data integrity between imported/exported and source data. Collaboration on Financial Reporting: Work closely with internal teams to ensure accurate and reliable financial reporting. Ad Hoc Reporting: Create customized reports to support internal teams and management. Cross-Functional Collaboration: Partner with various departments to understand and fulfill their data requirements. System Integration Management: Design, maintain, and improve system integrations to streamline operations. Trend Analysis: Analyze complex datasets to identify trends and growth opportunities. Data Collection Improvement: Streamline data collection methods to enhance accuracy and integrity. System Efficiency & Protocol Development: Evaluate internal systems, address inefficiencies, and establish protocols for data handling and processing. Education And Experience Requirements Experience: Minimum 5 years of experience as a Data Analyst or similar role. Proven expertise with data analysis tools, including SQL and Python, or equivalent visualization software. Experience in financial reporting is required; familiarity with Oracle Cloud ERP/EPM is a plus. Education & Certifications: Bachelors Degree in Finance, Information Technology, Computer Science, or a related field. Certified Analytics Professional (CAP) certification is preferred. Technical Skills: Proficiency in Microsoft Office 365, with advanced Excel skills. Knowledge of system and information security, including data privacy concepts. Strong project management abilities. Soft Skills: Excellent analytical and problem-solving capabilities. Effective multitasking in a dynamic environment. Ability to communicate complex technical information to non-technical users. Compensation Actual base salary considers several factors including but not limited to geography, job-related knowledge, experience, and budget. The start of the salary range is typically associated with the minimum experience required. The role is considered exempt, and will not be eligible for overtime pay in accordance with federal and state law. The anticipated base pay range for the position is $ 90,000 - $110,000 annual salary Benefits Competitive pay Health, dental, and vision insurance Paid time off and holidays Retirement savings plan Employee assistance and more Term life and Voluntary supplemental life insurance Why RHF? At RHF, we are dedicated to making a meaningful difference in the lives of our residents. We strive to create vibrant communities where individuals can thrive, regardless of age or background. With over 50 years of experience in providing affordable housing and supportive services, RHF is a mission-driven organization that focuses on the well-being, independence, and dignity of every resident we serve. We offer a collaborative and supportive work environment, opportunities for professional growth, and a commitment to making a lasting impact in the communities we serve. Join us in our mission to create positive change and improve livesbecause at RHF, we believe in making every day better for those who need it most. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Non-profit Organizations Referrals increase your chances of interviewing at RHF (Retirement Housing Foundation) by 2x Sign in to set job alerts for Data Analyst roles. 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