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Fusion Medical Staffing is hiring a Data Analyst, BI with 3 - 5 years of experience. Based in United States - Omaha, NE and with In-office ways of working.Job description and responsibilities:Overview: Fusion Medical Staffing is searching for a Business Intelligence Data Analyst to join our growing Data and Analytics Reporting team. In this position, you will review data to produce sales metrics performance, finance, and market intelligence reports. Fusion uses these reports to highlight patterns and trends in the staffing industry to help influence Fusion’s operations and quarter/yearly goals.Fusion Medical Staffing is a traveler-first medical staffing agency. We are on a mission to improve the lives of everyone we touch and work to provide top healthcare professionals to our clients nationwide. At Fusion, we do not just work hard and play hard every day; we do it with a purpose. Our thriving culture allows us to focus on our core values while making a positive impact, both personally and professionally.Essential Functions• Understanding of the ETL process, data warehousing and associated activities to implement the best programs to use in managing data• Mine data, analyze data, and assist in the build out of internal analytical tools to improve decision making and support for the analytics team and reporting to cross functional teams.• Assist in the Design, development, and automation of metrics-based internal reporting, including visuals and Ad-Hoc reporting packages• Gather requirements and define scope for reporting needs, meeting to ensure specific data needed on a project basis.• Ability to manage multiple data sources and systems with logic to ensure proper data file creation.• Ensure a high level of communication and liaison duties with IT/Technology and Operational departments.• Work closely with the Sales Strategy, Sales Leaders, Client Development, and Finance Teams providing data on performance, variance analytics, and trends.• Ensure a high degree of data quality and accuracy in all results and reporting• Special projects, as requestedRequirements and qualifications:Competencies• Proficiency in English language (oral and written)• Excellent communication and people skills• Detail oriented• Humble, Driven, Positive• Strong organizational and time management skills• Computer skills• Exhibit a high level of personal accountability• Results driven mentality• Exceptional attention to detail• Excellent critical thinking skillsWork EnvironmentThis job operates as a hybrid position in an office and/or remote environment and routinely uses standard office equipment.Physical DemandsThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job, with or without accommodation.• Employee is regularly required to talk and hear• Constantly operates a computer and other office equipment, such as a phone, headset, calculator, copier, and printer• The person in this position may need to occasionally move about inside the office to access files, computer equipment, copier, etc.Position Type/Expected hours workedThis is a full-time position, and hours of work and days are Monday through Friday, 8:00 a.m. to 5 p.m. CST (flexible start/end times with manager discretion). Regular and punctual attendance is requiredRequired Education and Experience• BA/BS in Business Science or Business Administration, MIS, analytics, statistics, economics or related field• Experience with Business Intelligence (BI) tools such as Tableau• Strong experience with Tableau• Advanced proficiency in Excel, as well as MS office suites including MS SQL• Experience in data extraction, data manipulation, synthesis and creating presentations• Experience with analytical initiatives with demonstrated ability to problem solve and think critically• Ability to recognize key trends and evaluate results of analysis• Proficient knowledge of financial and accounting practices and techniquesPreferred Education and Experience• Proficiency with SQL and VBA coding• Experience in recognizing, analyzing and communicating descriptive and predictive data for reporting and statistical methodologies