Resource Optimization Specialist - IQA

Join Us! At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us! As a Resource Optimization Specialist, you will be responsible for data analysis, visualization, validation, business analysis, stake-holder management and Data presentation. You will be driving a process improvement initiative using Six-sigma, Lean and statistical methodologies. Position Responsibilities Responsible for data analysis & visualization for special projects & ad hoc activities as per client's request Aiding in generating data-driven actionable insights for periodic client business reviews Driving process excellence related initiatives & project managing end-to-end delivery Responsible for conducting statistical analysis for projects & studies Identifying improvement opportunities for internal & client processes and provide recommendations Involved in preparation of client-facing presentations Responsible for SLA baselining, process mapping & FMEA Requirements gathering from internal & external stakeholders Building, troubleshooting and maintaining PLX reporting dashboards with proper documentation Performing troubleshooting across reporting and related tools Filing bugs or escalations for complex issues against the engineering teams Executing reporting activities such as correlation studies, regression analysis Build positive relations and teamwork Minimum Qualifications Graduate or Post Graduate With strong knowledge in technical troubleshooting and reporting and minimum 2 years working experience in technical support, ideally within the quality department or analytics Minimum 4 years experience in relevant analytical or data-driven role, with at least 2 years of direct experience with data analysis and visualization tools such as SQL, PLX, and dashboarding platforms (e.g., Tableau, Power BI Strong experience querying data using SQL, developing insightful dashboards (e.g., using Tableau, Power BI, Looker Studio), and performing related reporting tasks Strong knowledge of Statistical analysis tools/methodologies, Six Sigma & Lean Preferred Qualifications Excellent communication skills, both verbal and written. Ability to effectively summarize information and present to stakeholders, including engineering teams Strong analytical skills and attention to detail. Descriptive documentation skills Track record of working in a fast paced, process driven environment with multiple stakeholders Experience working in a multicultural setting and interacting with clients from different regions. Benefits We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy . Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter. To all recruitment agencies: Google Operations Center (GOC) does not accept agency resumes. Please do not forward resumes to our jobs alias, GOC employees, or any other organization location. GOC is not responsible for any fees related to unsolicited resumes. Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at .