At Midea LATAM North, we believe diverse teams build better solutions. We are proud to be an equal opportunity employer and are committed to a workplace where everyone is respected, valued, and empowered to grow.

We are currently looking for a: Data Analyst

POSITION SUMMARY

Analyze, integrate, and transform information from different sources to generate insights, indicators, and control tools that allow the identification of deviations, inconsistencies, trends, and opportunities for improvement in the operation.

The position requires financial knowledge to correctly interpret information related to expenses, billing, accounts payable, budgets, and cost centers, as well as to validate the reasonableness of the results obtained.

What will you do?

1. Data Analysis and Exploitation

- Integrate, debug, and structure information from different systems and sources.
- Analyze large volumes of data to identify trends, patterns, deviations, and inconsistencies.
- Perform cross-checks and reconciliations between operational, administrative, and financial information.
- Design analyses that allow the identification of causes, impacts, and opportunities for improvement.
- Convert data into useful information for decision-making.

2. Validation and Control of Information

- Validate the integrity, consistency, and quality of the databases used for analysis.
- Identify duplications, errors, outliers, and differences between sources.
- Analyze the congruence between information requested, authorized, executed, and invoiced.
- Follow up on exceptions and document relevant findings.
- Analyze information on accounts payable, expenses, billing, budgets,



and cost centers.
- Apply financial knowledge to interpret variances, costs, expenses, and deviations.
- Identify potential improper charges, differences, or atypical behaviors.
- Analyze supplier information and their billing behavior.
- Evaluate the economic impact of the identified findings.

4. Reports, Indicators, and Visualization

- Design and maintain reports, indicators, and dashboards for monitoring the operation.
- Automate information extraction, transformation, and analysis processes.
- Present results through clear, decision-oriented visualizations.
- Communicate findings, trends, risks, and recommendations to the areas involved.

5. Process Improvement

- Identify opportunities to automate and streamline analysis and control processes.
- Propose new sources of information, indicators, and analysis methodologies.
- Participate in improvement projects related to operational and financial information.

Knowledge, Skills, and Abilities

- Quality and integrity of the databases analyzed.
- Accuracy of analyses and reconciliations.
- Number and amount of inconsistencies detected.
- Timeliness in report generation.
- Level of automation of reports and processes.
- Use of dashboards and indicators for decision-making.




- Impact of the findings and improvements implemented.
- Analytical and critical thinking.
- Ability to interpret large volumes of information.
- Attention to detail.
- Structured thinking and problem-solving.
- Ability to identify patterns and anomalies.
- Communication of results.
- Financial judgment.
- Organization and follow-up.

What are we looking for?

- Bachelor's degree in Data Science, Actuarial Science, Industrial Engineering, Mathematics, Economics, Finance, Accounting, Administration, or a related field.
- 1 to 3 years of experience in data analysis, business intelligence, financial analysis, information control, or similar positions.
- Knowledge of database analysis and management.
- Intermediate to advanced Excel skills.
- Experience with cross-referencing, reconciliation, and filtering of information.
- Experience analyzing indicators and variances.
- Financial knowledge applied to expenses, billing, accounts payable, budgets, and cost centers.
- Experience with Power BI and ERP systems (desirable).

6. Scope and Expected Outcomes

- Cleaned and structured databases.
- Analysis and cross-referencing of information.
- Dashboards and indicators.
- Reports on variances and trends.
- Analysis of expenses and billing.
- Exception and findings reports.
- Recommendations derived from data analysis.

What We Offer

- Monday to Friday schedule.
- Opportunity to be part of a fast-growing global company.
- Professional growth and learning opportunities.

Why Midea?

Because we are a general company with a regional mindset. Because your talent kn

📌 Data Analyst (Ciudad de México)
🏢 Midea Latam North
📍 Ciudad de México