Role: data analyst (technology enterprise)
location: mexico (remote)
purpose of the job
the data analyst provides outstanding, customer-focused expertise that drives improved organizational performance. In summary, the purpose of the role is to provide technology expertise as part of the data analysis chapter within 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 an msp or rpo business.
* 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.