Customer Support Data & Automation Analyst

Customer Support Data & Automation Analyst Description - Customer Support – Data Automation Analyst (Intermediate) Job Summary The Customer Support – Data Automation Analyst supports the automation and maintenance of data flows to improve efficiency and accuracy within business operations. This role requires practical experience with Python scripting, data processing, PBI and automation tools to support financial data tracking and allocation processes. The analyst works with internal stakeholders to address routine data needs, implement defined improvements, and troubleshoot existing workflows, with guidance from senior team members on complex issues. Responsibilities Data Automation & Optimization: Develop and maintain automation for routine data flows using established tools and processes. Script Maintenance: Monitor, troubleshoot, and update existing Python scripts, Power Automate flows, and other data processing integrations. Process Improvement: Identify recurring manual tasks and contribute to automation projects and process enhancements. Customer Support: Assist internal customers with data requests, investigate issues, and communicate progress and resolutions clearly. Data Validation & Reconciliation: Collect and follow up on missing data, perform checks and reconciliations, monitor data quality, and investigate discrepancies. Month-End Support: Complete assigned data processing and validation activities, follow up on outstanding items, and support month-end close through completion. Documentation: Maintain clear documentation of scripts, workflows, checks, and troubleshooting steps. Key Skills Intermediate proficiency: Excel, including formulas, pivot tables, and data validation. Working proficiency: Python and Pandas for data cleaning, processing, and routine automation; Power Automate and Power Query for maintaining and improving workflows. Basic to intermediate proficiency: Power BI maintenance, including data refresh monitoring and routine report updates. Desirable: Basic finance knowledge and exposure to Azure services. Experience 2–4 years of professional experience, including at least 1 years in data processing, automation, reporting, or a related role. Hands-on experience maintaining scripts or automated workflows and troubleshooting routine data issues. Education Qualification Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Analytics, or a related field, or equivalent relevant experience. Key Traits Strong analytical and practical problem-solving skills. Detail-oriented, proactive, and adaptable. Customer-oriented, with clear communication skills. Comfortable seeking guidance when needed. Additional Information Location: Mexico Requires collaboration across time zones. We seek a tech-savvy professional with practical automation experience, strong analytical skills, and a basic understanding of financial concepts. The ideal candidate can maintain and improve established data processes, ensure accuracy, and provide reliable support throughout month-end close. Job - Finance Schedule - Full time Shift - No shift premium (Mexico) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "