Coordinator, Americas Talent Acquisition Operations - Data & Analytics (Xico) (Chalco de Díaz C[...]

Where you’ll fit within the team: you’ll join the Americas Talent Acquisition Operations – Data & Analytics team as a core contributor responsible for ensuring recruiting data is accurate, scalable, and decision‑ready across the full recruiting lifecycle. This role sits at the intersection of data, technology, and recruiting strategy, enabling data‑driven decision making by maintaining high‑quality datasets, delivering reporting, and translating analysis into actionable insights that improve candidate experience, efficiency, equity, and overall recruiting outcomes.

What You’ll Do

Data Integrity and Management (30%)

• Execute zero‑defect collection, cleaning, validation, and preparation of recruiting data to ensure accuracy, consistency, and readiness for analysis.
• Maintain data integrity standards by identifying and correcting errors, inconsistencies, and missing values; document fixes and root causes where needed.
• Structure and format data into analysis‑ready datasets (e.g., consistent fields, naming conventions, time periods, populations).
• Merge/map data from multiple sources (e.g., ATS/Avature, assessment/survey tools, operational trackers) to enable end‑to‑end reporting.
• Maintain and improve foundational reporting assets (e.g., metric definitions, data dictionaries, template logic) to support consistency across teams.

Reporting and Dashboarding (30%)

• Produce recurring reporting (weekly/monthly/quarterly) and respond to ad‑hoc reporting requests with speed and precision.
• Maintain interactive dashboards (e.g., Tableau/Power BI) that allow stakeholders to monitor key recruiting metrics.
• Develop executive‑ready outputs (Excel tables, slides, dashboard readouts) that clearly communicate what happened, why it matters, and what to do next.
• Ensure reporting is scalable and consistent by standardizing templates, automating refreshes where feasible, and aligning definitions across stakeholders.

Analysis and Insight Development (20%)

• Conduct exploratory analysis to identify trends, anomalies, bottlenecks, and opportunities across recruiting operations.
• Apply appropriate analytical techniques (e.g., segmentation, correlation, basic hypothesis tests) to answer practical business questions.
• Link data findings to business outcomes and recommend actionable steps that improve process efficiency, quality, fairness, and stakeholder decision‑making.
• Partner with stakeholders to refine questions, frame analyses, and ensure insights translate into measurable changes.

Survey and Feedback Measurement Support (15%)

• Support execution of repeatable surveys, including questionnaire setup, testing, deployment, and response monitoring.
• Support data cleaning, analysis, and trend tracking across survey waves, ensuring consistency and quality in recurring measurement.
• Maintain standardized survey templates, documentation, and reporting outputs, and prepare clear summaries to communicate insights to stakeholders.

Process Improvement, Automation, and Enablement (5%)

• Identify opportunities to automate repetitive data processes and reporting tasks (e.g., Excel automation/Power Query, BI refresh logic, light scripting where applicable).
• Improve the reliability and usability of reporting by documenting processes and creating "how‑to" guidance for internal customers.
• Use AI responsibly to accelerate drafting, summarization, or analysis workflows while maintaining confidentiality and data integrity.

About You

• Bachelor’s degree with high academic achievement.
• 1–2 years of experience in a data analyst role or significant exposure to similar work.
• Strong analytical skills, including the ability to synthesize data, identify patterns, and translate analysis into clear insights and recommended actions.
• Demonstrated curiosity, initiative, and ability to learn quickly in evolving, ambiguous problem spaces.
• Proficiency in Excel and PowerPoint; experience building dashboards and visuals in Tableau and/or Power BI (or ability to ramp quickly).
• Strong data management skills, including attention to detail, disciplined quality control, and ability to integrate datasets across systems while maintaining consistent definitions.
• Excellent communication and interpersonal skills with a customer‑service mindset; ability to work effectively with stakeholders across teams and levels, manage multiple priorities, and meet deadlines.