Data Analyst/Sales

Ole Mexican Foods Inc•Norcross, GA

1d•Onsite

About The Position

The Data Analyst at Olé plays a crucial role in supporting strategic decision making through the analysis of complex data, identifying trends, and delivering data-driven recommendations. This position is essential to optimize our business processes and continuously improve the quality and efficiency of our products and services.

Requirements

Bachelor’s degree in mathematics, Statistics, Computer Science, Information Management, or a related field.
Proficiency in Power BI Desktop and Power BI Service.
Strong understanding of data manipulation and analysis techniques.
Experience with SQL and relational databases.
Familiarity with ETL processes and tools.
Knowledge of DAX for creating complex calculations.
Excellent data visualization skills and understanding of visualization principles.
Advanced Excel skills, including PivotTables and Power Query.
Ability to handle large datasets and complex data structures.
Strong problem-solving skills and attention to detail.
Excellent verbal and written communication skills, with the ability to present complex analyses to non-technical stakeholders.
Bilingual (B2 level, Esp-Eng)

Nice To Haves

Experience with programming languages like R or Python.
Certification in Power BI or related tools.
Previous experience in a similar role, preferably in the food industry or consumer goods sector.

Responsibilities

Develop and maintain Power BI reports and dashboards.
Collaborate with stakeholders to gather and understand data requirements.
Clean, transform, and prepare data for analysis.
Utilize SQL to query and manage data in relational databases.
Create custom calculations and metrics using DAX (Data Analysis Expressions).
Design intuitive and impactful data visualizations following best practices.
Leverage advanced Excel features and Power Query for data manipulation.
Identify opportunities for process improvement through data analysis.
Ensure data accuracy and integrity by cleaning and filtering data.
Work closely with various departments, including marketing, finance, and operations, to support data analysis needs.