Description
Job Summary:
We are seeking an Industrial Engineer/Data Analyst with experience in predictive modeling and data visualization to improve processes.
Key Highlights:
1. Development of predictive models and advanced data analysis.
2. Identification of trends and patterns to support decision-making.
3. Proposal of solutions for process improvement.
At Recreativos Fargo S.A.C, we are looking for an **Industrial Engineer / Data Analyst**
**Requirements**
* Bachelor's degree in Industrial Engineering.
* Specialization in data analysis or related field.
* Minimum 3 years of experience in similar roles.
* Advanced knowledge of data analysis software (Python, R, SQL, Tableau, Power BI, etc.).
* Ability to develop predictive models, regression analysis, time series analysis, and others.
* Advanced proficiency in Excel.
* Teamwork, effective communication, and clear presentation of results to various departments.
**Responsibilities:**
* Collect, process, and analyze data from diverse sources.
* Develop statistical and predictive models to identify trends and patterns that support decision-making.
* Use analytical tools such as Power BI and others to visualize data and present results clearly and concisely.
* Identify areas for process improvement and propose data-driven solutions.
* Develop and automate periodic reports for senior management and other company departments.
* Monitor key performance indicators (KPIs) and assist in establishing metrics for continuous improvement.
* Ensure analyses and solutions comply with company regulations.
* Maintain data integrity and confidentiality.
**Additional Considerations**
* Immediate availability.
* Working hours: Monday to Saturday. Mon–Fri 8:30 am – 6:00 pm, Saturdays 8:30 am – 12:45 pm.
* Location: Pueblo Libre.
* Benefits according to Peruvian labor law.
\*Suitable for persons with disabilities.
Salary: S/.3,000\.00 – S/.3,500\.00 per month
Application Questions:
* Please indicate your academic degree and professional field.
* Please indicate your salary expectations.
* Please indicate your district of residence.
* Please provide a contact number.
* Are you available to start immediately?
* Please indicate your proficiency level in Excel and Power BI.
* Do you have experience as a Data Analyst? In which areas?
Workplace: On-site employment