Job Description

Seeking a Senior Data Analyst for the Business Process & Intelligence team. You will drive data-backed strategic decisions by performing in-depth analysis of key metrics and KPIs. This role requires strong analytical skills, Python expertise, and a commitment to ensuring high data quality for senior leadership and process improvement initiatives.

Responsibilities:

• Lead the in-depth analysis and interpretation of key business metrics (KPIs) for executive and management teams.
• Translate complex metric trends and anomalies into clear, actionable narratives to inform business strategy and process improvements.
• Proactively identify hidden drivers, risks, and opportunities within the data, moving beyond standard reporting.
• Independently collect, transform, and clean data from various sources for analysis.
• Utilize advanced programming (Python preferred) and SQL for complex data manipulation and task automation.
• Champion data quality and integrity, collaborating with data-owning teams to ensure analysis is objective and high-quality.
• Serve as the analytical backbone for process improvement projects, ensuring proposed changes are measurable.
• Apply strong business acumen to ensure all analytical efforts directly address strategic company goals.
• Work autonomously on complex analytical tasks, demonstrating strong ownership and maintaining stakeholder alignment.

Qualifications

• A minimum of +5 years of progressive experience in the area of Data Analyst, BI Analyst, or similar analytically focused role.
• A minimum of +2 years leadering teams.
• Proven expertise in manipulating and transforming large, complex data sets.
• Strong technical proficiency in SQL for querying and data retrieval.
• Demonstrated experience using Python (or similar programming languages) for data wrangling, cleaning, and analysis is preferred.
• Exceptional analytical thinking and critical thinking skills with a proven ability to challenge assumptions and think forward about long-term data needs.
• Excellent verbal and written communication skills, with the ability to effectively simplify and present complex quantitative findings to non-technical audiences.
• Bachelor’s degree or equivalent experience in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or Computer Science; advanced degree or certifications preferred.

What you can expect:

• Hybrid position (1 days on-site, 4 days home office)
• Workplace Computer Equipment
• IMSS (Mexican Social Security Institute)
• 30 days of Christmas bonus (Aguinaldo)
• 12 days of vacation after the first year
• Life Insurance
• Major Medical Expense Insurance
• 9% Food Stamps
• 13% Savings Fund
• 50% Vacation Bonus

 

#LI-Hybrid

Additional Information

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