Workday Practice Operations and Data Analytics Manager

The Role Respond to Workday Practice Business Unit Data Analytics Requests Respond to data analytics request from the Workday Practice Leader, Workday Project Delivery Leader, and Workday Professional Services Team at large Data requests may require creating or building data analytics applications in several technologies, including but not limited to: Microsoft Fabric, Workday Adaptive Insights, Smartsheet, and Workday PSA Enterprise Analytics Modernization and Net-New Dashboard Builds (Microsoft Fabric) Lead construction of new business analytics applications in Microsoft Fabric Provide dashboards and other data analytics technology solutions to support Workday Practice Vertical OKRs and Workday Practice goals Efforts will include coordinating and leading various teams to create source data from Workday and Salesforce, data ingestion into semantic models, and data visualizatio Own and Manage Bi-Weekly Metrics Meetings Manage the bi-weekly Workday Metrics meetings to drive Workday Practice business results Incorporate vertical metrics and OKRs into the Bi-Weekly Metric meetings Responsibilities Include meeting planning and preparation, sending out point-in-time metrics package, and remediation and corrective action on data issues identified Own Weekly Metrics Operational Audits and Data Integrity Processes Provide leadership and management of the weekly Workday Metrics Operational audit process for the Workday practice globally Provide direction to Project Coordinator team to administer the audit processes Drive remediation and corrective action based on audit findings Own and Manage Project Close Session Metrics (Semi-Monthly) Manage semi-monthly Project Close sessions for Workday Practice Maintain and manage project close session schedule, coordinating with Project Manager and Program Executive availability Gather project close case study and project close data analytics Own Workday Practice Accounts Receivable (AR) Metrics Reporting Manage the semi-monthly Accounts Receivable process for the global Workday Practice Coordinate monthly meeting to review Workday Practice Accounts Receivable next steps Provide improvements to the AR Dashboard which will replace point-in-time reporting Advance Global Metrics Operating Model, Global Metrics Alignment, and Unified Advance the non-global North American practices to EMEA, APAC India, and APAC Far east Coordinate metrics updates and changes with global Workday Practice leadership, with emphasis on Workday PMO Practice to drive operational changes through metrics Own Timekeeping Guidance, Time Code Governance, and Timekeeping Management Provide governance and oversight to Workday time code practices Provide plans, policies, and guidance to maximize the Workday Practice’s profitability Manage active Workday time codes Provide a work intake for timekeeping code questions The Requirments Bachelors Degree in Information Technology, Data Science, Data Analytics, Mathematics or related discipline 5-7 years of experience with data analytics technologies stack (e.g. Power BI, Tableau, SAP Analytics, Snowflake, Google Big Query or similar) 5-7 years of experience with creating operational audit processes to maintain and drive data accuracy Ability to present data analytics and conclusions and solutions to an executive leadership audience Ability to take high-level data analytics requirements from executives and transform them into data driven solutions Mastery of Microsoft Excel for data analytics Ability to influence teams beyond the Workday Practice, partnering closely and collaborating with several technology teams outside the Workday team Strong communication and interpersonal skills, with the ability to interact effectively with senior leadership, clients, matrix and cross-functional teams. Ability to create data auditing processes and reports Elite meeting behaviors, organizational skills, and time management skills, with the ability to manage multiple initiatives simultaneously Skills (Preferred) Experience with Workday, or other enterprise-level system software Knowledge of Six Sigma, or other relevant certifications or frameworks. Master’s degree in information technology, Data Science, Analytics, Mathematics or related discipline Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Benefits At Strada, we support your whole self—offering a range of benefits for your health, wellbeing, finances, and future. These include health coverage, wellbeing programs, paid leave (vacation, sick, parental), retirement plans, learning opportunities, and more. All offers are contingent on successful completion of background checks, where permitted by law and as appropriate for the role. These may include identity, education, employment, and in some cases, criminal history verification, checks against global watchlists, credit reports, and/or drug testing. You’ll be informed of the specific checks applicable to your role and location during the recruitment process. Our commitment to Diversity and Inclusion Strada is dedicated to fostering a diverse, equitable, and inclusive workplace where everyone feels valued and supported. We believe that embracing differences strengthens our teams and drives innovation and success. Equal Employment Opportunity Statement Strada is an Equal Opportunity Employer and prohibits discrimination based on legally protected characteristics. We provide reasonable accommodations for disabilities and religious practices. Applicants may request reasonable accommodation by contacting their recruiter. Authorization to work in the Employing Country To be considered, you must have current and future work authorization in the country where you're applying, without the need for visa sponsorship by Strada. Please note: This job description does not limit Strada’s right to assign or reassign responsibilities, including to subsidiaries, partners, or future business purchasers. Salary Pay Range Minimum - Maximum: $77,420.00 - $143,780.00 Pay Transparency Statement Pay Transparency Statement: Strada considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate’s experience, education, certification/credentials, market data, internal equity, and geography. Strada makes these decisions on an individualized, non-discriminatory basis. Bonus and/or incentive eligibility are determined by role and level. Disclaimer Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Strada business units. #J-18808-Ljbffr Strada