Data Analyst bei Ole Mexican Foods, INC

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Data Analyst

At Ole, our mission is to produce the finest Authentic Mexican inspired products with an unwavering commitment to quality and freshness. We believe that holding a seat at your dinner table is the ultimate compliment, and we strive to help families create wholesome, fun, and authentic eating experiences. This is an "Onsite Position not remote position".

Position Objective:

The Data Analyst at Ole plays a crucial role in supporting strategic decision-making through complex data analysis, trend identification, and data-based recommendations delivery. This position is essential for optimizing our business processes and continuously improving the quality and efficiency of our products and services.

Key Responsibilities:

• Data Analysis: Interpret complex data using advanced statistical methods to identify trends, patterns, and correlations across different business areas.
• Reporting: Develop regular and ad-hoc reports, presenting findings clearly and effectively to stakeholders to facilitate informed decision-making.
• Process Improvement: Identify opportunities for improvement in current processes through data analysis and work collaboratively with various teams to implement effective solutions.
• Data Management: Ensure data accuracy and integrity by cleaning and filtering data, as well as reviewing reports and performances to detect and correct errors.
• Interdepartmental Collaboration: Work closely with various departments, including marketing, finance, and operations, to understand their information needs and support them with relevant data analysis.

Position Requirements:

• Education: Bachelor�s degree in mathematics, Statistics, Computer Science, Information Management, or a related field.
• Experience: Proven experience in a data analyst role or similar, preferably in the food industry or consumer goods sector.
• Technical Skills: Proficiency in data analysis tools and statistical software (e.g., SQL, Python/R, SPSS, SAS), as well as data visualization packages (e.g., Tableau, Power BI, Sigma).
• Analytical Skills: Strong analytical ability with attention to detail, capable of organizing, analyzing, and disseminating large volumes of data with accuracy.
• Communication: Excellent verbal and written communication skills, with the ability to present complex analyses in an understandable way for non-technical stakeholders.

Core Competencies:

• Critical Thinking and Problem Solving: Exhibits an acute ability to approach problems critically and generate efficient solutions based on thorough data analysis.
• Business Acumen: Demonstrates a deep understanding of business objectives and the specific dynamics of the industry, ensuring analyses are relevant and actionable.
• Teamwork and Collaboration: Demonstrates the ability to work effectively within multidisciplinary teams and engage in productive collaboration with various departments.
• Continuous Learning: Maintains a commitment to continuous learning and staying abreast of the latest trends, tools, and best practices in the data analysis field.