Senior Business Analyst

NetApp | Information Technology

1h 34m ago

Hybrid

Full Time

Mexico

Job Summary

As a Senior Data Analyst supporting the Global Order Fulfillment team, you will transform complex operational and financial data into clear, actionable insights that improve execution, forecasting, and decision-making. The successful candidate will combine strong hands-on data analysis skills in Excel and Power BI with experience in financial reporting, quarter-end forecasting, practical AI enablement, and disciplined project execution. You will partner across Order Fulfillment, Finance, Sales Operations, IT, and other functions to simplify reporting, improve data quality, develop scalable solutions, and accelerate the adoption of AI-enabled ways of working.

Key Responsibilities

Own and improve recurring Global Order Fulfillment reporting, KPI analysis, and performance visibility.
Support quarterly, annual, and quarter-end revenue forecasting, reconciliation, and reporting, including variance analysis, trend identification, and clear communication of risks and opportunities.
Partner with Finance and operational stakeholders to validate assumptions, reconcile data sources, and improve forecast accuracy and reporting consistency.
Develop, maintain, and enhance KPIs that measure backlog health, shipment execution, lead time, revenue attainment, and other fulfillment outcomes.
Use advanced Excel and Power BI to analyze complex datasets, develop repeatable reporting solutions, and deliver decision-ready insights. The role requires strong hands-on Power BI proficiency, including data preparation, modeling, DAX, and report enhancement, but does not primarily own enterprise platform administration or highly complex dashboard engineering.
Gather business requirements, identify and validate data sources, map data flows, write queries, assess data quality, and translate findings into actionable recommendations.
Support AI-enabled analytics and workflow initiatives, including preparing and curating knowledge sources, configuring and grounding agents, developing reusable skills and prompts, testing and evaluating outputs, documenting use cases, and continuously improving solution accuracy and reliability.
Contribute to projects involving AI agents and analytics platforms; experience with Abacus, Microsoft Copilot, or a comparable enterprise AI or agent platform is a plus.
Lead or support small-to-medium analytics and process-improvement projects by defining scope, milestones, owners, dependencies, risks, and status updates.
Analyze complex or insufficiently documented current-state processes and design standardized, scalable future-state processes and data solutions.
Establish and maintain reporting documentation, business definitions, data lineage, validation controls, and quality standards to improve consistency and trust in analytical outputs.
Identify opportunities to simplify and automate recurring reporting, reconciliation, validation, and workflow activities using Excel, Power BI, SQL, AI, or other approved enterprise tools.
Perform delivery lead-time analysis and provide ad hoc data support for Order Fulfillment requirements.
Communicate findings clearly to technical and non-technical audiences through concise executive summaries, recommendations, and decision points.

Education

Minimum Qualifications

At least 8 years of relevant experience as a data analyst, business analyst, financial analyst, business intelligence analyst, analytics engineer, or equivalent.
Demonstrated experience manipulating and reconciling complex raw datasets using advanced Excel, including PivotTables, XLOOKUP/VLOOKUP, Power Query, advanced formulas, data models, and structured quality checks; VBA experience is beneficial.
Practical proficiency with Microsoft Power BI, including data preparation, modeling, DAX calculations, visualization, and the creation or enhancement of user-focused reports.
Experience supporting financial or operational reporting, forecasting, variance analysis, reconciliation, and quarter-end or period-end business processes.
Working knowledge of SQL and the ability to query, combine, validate, and interpret data from multiple sources.
Hands-on experience using generative AI, copilots, AI agents, or similar tools to develop business use cases, create reusable prompts or skills, evaluate outputs, and document solutions.
Project execution capability, including requirements definition, work planning, milestone tracking, risk and issue management, stakeholder coordination, and clear status communication.
Ability to translate ambiguous business questions into structured analyses, scalable processes, and practical recommendations.
Strong written and verbal communication skills, attention to detail, and the ability to work effectively across business and technical teams.
Self-starter with the ability to prioritize, solve problems, learn independently, and operate effectively in a fast-paced environment with competing priorities and ambiguity.

Preferred Qualifications

Experience configuring, grounding, testing, or governing enterprise AI agents using Abacus, Microsoft Copilot, or a comparable platform.
Experience supporting supply chain, order fulfillment, revenue operations, sales operations, or finance in a hardware, software, or high-technology environment.
Understanding of quoting, sales order, backlog, shipment, revenue recognition, and forecasting processes.
Knowledge of Oracle ERP, particularly Order Management, and familiarity with enterprise data warehouse concepts and BI and analytics tools such as OBIEE, Power BI, and Tableau.
Experience improving or automating recurring financial and operational reporting processes.
Formal project management training, certification, or demonstrated experience leading cross-functional analytics and process-improvement initiatives.
Advanced degree or relevant professional certification in Data Analytics, Finance, Business, Supply Chain, Computer Science, or a related field.

Education & Experience

Bachelor’s degree in Data Analytics, Finance, Business, Supply Chain, Computer Science, or a related field, or equivalent practical experience.

Successfull Profile

Balances analytical depth with strong business judgment and financial acumen.
Uses Excel and Power BI as practical analysis tools while selecting the simplest scalable solution for the business need.
Moves from raw data and ambiguous requirements to a clear recommendation, repeatable process, and concise leadership update.
Applies curiosity and sound judgment to convert business knowledge into reliable, well-tested AI capabilities.
Brings sufficient project discipline to keep cross-functional work aligned, visible, and moving forward.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Required Skills

excelpower_bisqlpowerquerydax

Required Languages

🇬🇧 English

Minimum Qualifications

At least 8 years of relevant experience as a data analyst, business analyst, financial analyst, business intelligence analyst, analytics engineer, or equivalent.

Demonstrated experience manipulating and reconciling complex raw datasets using advanced Excel, including PivotTables, XLOOKUP/VLOOKUP, Power Query, advanced formulas, data models, and structured quality checks; VBA experience is beneficial.

Practical proficiency with Microsoft Power BI, including data preparation, modeling, DAX calculations, visualization, and the creation or enhancement of user-focused reports.

Experience supporting financial or operational reporting, forecasting, variance analysis, reconciliation, and quarter-end or period-end business processes.

Working knowledge of SQL and the ability to query, combine, validate, and interpret data from multiple sources.

Hands-on experience using generative AI, copilots, AI agents, or similar tools to develop business use cases, create reusable prompts or skills, evaluate outputs, and document solutions.

Project execution capability, including requirements definition, work planning, milestone tracking, risk and issue management, stakeholder coordination, and clear status communication.

Ability to translate ambiguous business questions into structured analyses, scalable processes, and practical recommendations.

Strong written and verbal communication skills, attention to detail, and the ability to work effectively across business and technical teams.

Self-starter with the ability to prioritize, solve problems, learn independently, and operate effectively in a fast-paced environment with competing priorities and ambiguity.

Preferred Qualifications

Experience configuring, grounding, testing, or governing enterprise AI agents using Abacus, Microsoft Copilot, or a comparable platform.

Experience supporting supply chain, order fulfillment, revenue operations, sales operations, or finance in a hardware, software, or high-technology environment.

Understanding of quoting, sales order, backlog, shipment, revenue recognition, and forecasting processes.

Knowledge of Oracle ERP, particularly Order Management, and familiarity with enterprise data warehouse concepts and BI and analytics tools such as OBIEE, Power BI, and Tableau.

Experience improving or automating recurring financial and operational reporting processes.

Formal project management training, certification, or demonstrated experience leading cross-functional analytics and process-improvement initiatives.

Advanced degree or relevant professional certification in Data Analytics, Finance, Business, Supply Chain, Computer Science, or a related field.

Successfull Profile

Balances analytical depth with strong business judgment and financial acumen.

Uses Excel and Power BI as practical analysis tools while selecting the simplest scalable solution for the business need.

Moves from raw data and ambiguous requirements to a clear recommendation, repeatable process, and concise leadership update.

Applies curiosity and sound judgment to convert business knowledge into reliable, well-tested AI capabilities.

Brings sufficient project discipline to keep cross-functional work aligned, visible, and moving forward.