Role: data analyst (technology enterprise) location:mexico (remote) purpose of the job thedata analystprovides outstanding, customer-focused expertise that drives improved organizational performance. In summary, the purpose of the role is to provide technology expertise as part of thedata analysis chapterwithin the squad-based structure of the technology enterprise department. This role is specifically focused on data workstream delivery, data expertise, and ongoing support. Key performance indicators (kpis) workstream delivery:lead the data workstream for system implementations and integrations. Process development:develop and support reporting and records management processes. Stakeholder liaison:partner with internal and external clients to fully interpret data content. Data analysis:manipulate and interpret complex datasets to draw valid inferences. Quality control:monitor and audit data quality; support validation and cleansing efforts. Automation:set up and maintain automated data processes. System integration:manage data uploads for vms, ats, and crm systems (e.g., sap fieldglass, beeline, vndly, iqn, netive, and coupa ccw). Reporting:build and validate comprehensive reports. Key responsibilities advisory & strategy advise managers on the application of existing procedures and precedents. Signal and advise management regarding developments within the data expertise domain. Serve as the first point of contact for the organization regarding specialized data questions. Share professional knowledge of processes, resources, and instruments. Needs assessment & project management investigate inquiries related to existing programs, processes, and procedures. Translate internal and external customer demands into actionable products and services. Support project management activities following prescribed procedures. Propose improvements for workforce processes and organizational expertise. Data collection & analysis produce accurate reports by collecting and formatting data from standard sources. Modify and review reports as requested by stakeholders to ensure applicability. Prepare scheduled and ad hoc reports, including data-driven presentations. Consolidate and integrate client data for specific production reports. Maintain datasets to ensure quality, addressing discrepancies and providing solutions. Proactively recommend improvements for tools and data management processes. Key requirements experience industry:2+ years of experience in anmsp or rpobusiness. Tech stack:1+ years of experience with key technology providers. Domain:experience with reporting, vms/ats/crm databases, and analytic tools. Environment:experience working in a matrix organization and fast-growing projects. Autonomy:proven ability as a practitioner able to work unsupervised. Knowledge & skills rsr knowledge:familiarity with rsr products, tools, clients, and back-office processes. Technologies:proficiency in leading vms, crm, and ats technologies. Technical tools:advanced excel/google sheets and proficiency in smartsheet. Soft skills:analytical mindset, quick learner, and a problem-solver mentality. Communication:good command of english (business language) with strong written communication skills.