Senior Business Analyst – Data & Analytics

Pyramid Consulting, Inc; México; À distance; MXN 827 000 - 1 240 000; Plein temps

Résumé du poste

Pyramid Consulting, Inc is seeking a Senior Business Analyst – Data & Analytics for a remote role based in Mexico. The candidate will collaborate with global stakeholders to gather requirements, standardize KPIs, and ensure data quality and accurate reporting across regions.

The role involves leading UAT, coordinating with IT and BI teams, and driving automation opportunities while managing multiple analytics initiatives in a global context.

Qualifications

• Bachelor's degree in business, engineering, information systems, data analytics, or related field.
• 7-9+ years of experience in BI, business analysis, or data analytics.
• Strong requirements gathering, SQL-based analysis, data validation, KPI definition, and UAT.
• Excellent analytical, problem-solving, and stakeholder management skills.

Responsabilités

• Gather, analyze, and document business requirements, KPIs, reporting needs, and acceptance criteria.
• Analyze and reconcile complex datasets across enterprise systems and regions.
• Perform data profiling, validation, and root-cause analysis for data accuracy.
• Define KPI calculations and reporting dimensions for global analytics.
• Collaborate with IT, data engineering, and BI teams on data models and integration.
• Lead User Acceptance Testing (UAT) with test scenarios and sign-off.
• Work with cross-functional teams across regions, accommodating time zones.
• Coordinate multiple analytics initiatives and identify automation opportunities.

Connaissances

Requirements gathering

SQL-based data analysis

Data validation

KPI definition

UAT

Stakeholder management

Formation

Bachelor's degree in Business, Engineering, Information Systems, Data Analytics, or related field

Outils

Power BI

SQL

Snowflake

Azure

SAP

Salesforce

Description du poste

Senior Business Analyst – Data & Analytics:

Location: Remote (Mexico)

Contract : Candidate have to work 160 Hours in a month (Its a Full Time contract without Benefits only the hourly rate)

Key Roles and Responsibilities

• Business Requirements: Collaborate with global stakeholders to gather, analyze, and document business requirements, KPIs, reporting needs, and acceptance criteria.
• Data Analysis: Analyze and reconcile complex datasets across multiple enterprise systems and regional platforms to identify data gaps, inconsistencies, and improvement opportunities.
• Data Quality: Perform data profiling, validation, and root-cause analysis to ensure data accuracy, completeness, and consistency.
• KPI Standardization: Define and document KPI calculations, business rules, and reporting dimensions to enable consistent global analytics.
• IT Collaboration: Partner closely with IT, data engineering, and BI development teams on data integration, data models, technical requirements, and issue resolution.
• Testing & Validation: Lead User Acceptance Testing (UAT), including test scenarios, data validation, defect management, and business sign-off.
• Global Collaboration: Work effectively with cross-functional teams across global regions, demonstrating flexibility to accommodate different time zones and business priorities.
• Project Coordination & Improvement: Manage multiple analytics initiatives, coordinate deliverables with business and IT teams, and identify opportunities for process automation and reporting improvements.

Required Qualifications

• Bachelor's degree in Business, Engineering, Information Systems, Data Analytics, or a related field.
• 7-9+ years of experience in Business Intelligence, Business Analysis, or Data Analytics.
• Strong experience in requirements gathering, SQL-based data analysis, data validation, KPI definition, and UAT.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Skills

• Knowledge of Power BI, SQL, Snowflake, Azure, or similar enterprise data platforms.
• Familiarity with SAP, Salesforce, and other ERP/CRM systems, including their business processes and underlying data.
• Experience in manufacturing, service operations, supply chain, or enterprise analytics.
• Experience working with globally distributed teams and complex enterprise data environments.