| Urgent Hiring--Senior Oracle fusion HR Data Analyst--Remote at Oracle, Arizona, USA |
| Email: [email protected] |
| From: Rajiv Sharma, TEK Inspirations LLC [email protected] Reply to: [email protected] Senior Oracle fusion HR Data Analyst Duration: 6 months Location: Remote, anywhere in EST or CSTtime zones only Note: Must have strong commskills with good LinkedIn account. Must have HR Data experience, in severaldifferent mediums. Definitely Oracle Fusion. HR system experience like Peoplesoft and Bamboo HR. HR Data is the huge focus. HR AND Data focused, a true HR data analystthat works with Oracle fusion and other softwares like workday or peoplesoft. Visa: GC/USC We are seeking a highly skilled and motivated Senior PeopleData Analyst III to join our dynamic team. As a People Data Analyst III, you will play a critical role indriving data-driven decision-making and providing valuable insights to optimize our HR strategiesand initiatives. Your expertise in data analysis, statistical modeling, and HR domain knowledge willbe instrumental in improving organizational performance, employee experience, and talentmanagement processes. The incumbent(s) in this position should exhibit thefollowing values: PeopleMinded Must show dignity and respect to all people Integrity Must exemplify the highest degree of ethical behavior ResultsOriented Must show passion, pride and commitment to succeed Trust Must be honest, sincere and confident Teamwork Must build trusting relationships Innovation Must progress through a combination of creativity, common sense and vision Balance Must maintain an optimistic attitude and keep perspective on what is importantin life. EducationRequirements: Bachelor's or Master's degree in Human Resources,Statistics, Data Science, Business Analytics, or a related field. Work Experience Requirements: Proven experience (5 years) as an HR Data Analyst orsimilar role, preferably in a senior capacity. Strong proficiency in data analysis and visualizationtools, such as Excel, OTBI, BIP, Oracle SQL Developer, OEM, Toad, Python, R, or similar platforms. In-depth knowledge of HR metrics, talent managementprocesses, and HR best practices. Familiarity with HR systems (HRIS, ATS, LMS) and dataextraction techniques. Solid understanding of statistical concepts and experiencewith predictive modeling techniques. Knowledge, Skills and Abilities Requirements: Natural ability and drive to find the "why" touncover new things, to problem solve, to find deeper insights and meaning. Ability to effectively analyze and synthesize largeamounts of complex data into relevant insights. Exceptional analytical and problem-solving skills with akeen eye for detail. Excellent communication skills to convey complex datainsights in a clear and actionable manner. Ability to work independently, prioritize tasks, andmanage multiple projects concurrently. Ability to manage ambiguity, risk and changing directionof projects and strategies with ability to work in a high-pressure environment. Data Analysis andReporting: Gather, clean, and analyze large sets of HR data fromvarious sources, including HRIS, payroll systems, performance management tools, and employee surveys. Conduct in-depth statistical analysis to identify trends,patterns, and correlations in employee data to support HR strategy development and decision-making. Create comprehensive HR reports and dashboards thatvisualize key metrics and KPIs, such as turnover rates, employee engagement, performanceevaluations, diversity, and other relevant HR indicators. Provide regular and ad hoc data analysis to support HRleadership in making informed decisions. Predictive Modeling and Forecasting: Develop predictive models to anticipate workforce trends,attrition, and talent needs, enabling proactive HR planning and recruitment strategies. Utilize predictive analytics to identify potential issuesrelated to employee retention, performance, and overall HR effectiveness. HR Strategy and Process Improvement: Collaborate with HR leaders and stakeholders to identify opportunitiesfor enhancing HR processes, policies, and programs through data insights. Contribute to the design and implementation of data-drivenHR strategies that align with the organization's goals and promote a positive employeeexperience. Monitor the effectiveness of HR initiatives and recommendimprovements based on datadriven analysis. Data Integrity and Security: Ensure data accuracy, consistency, and confidentiality inall HR data and reporting processes. Implement and maintain data governance practices to complywith relevant regulations and safeguard sensitive HR information. Team Collaboration and Leadership: Mentor and support junior HR analysts in data analysistechniques and best practices. Collaborate with cross-functional teams, including HRBP,Talent Acquisition, Learning & Development, and Compensation & Benefits, to providedata-driven insights and support their initiatives. Keywords: active directory rlang green card |
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| Thu Jul 27 02:35:00 UTC 2023 |