KEY RESPONSIBILITIES:
Data Analysis and Reporting:
- Collect, analyze, and interpret large sets of business data to identify trends, patterns, and insights.
- Develop and maintain dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau, QlikView).
- Monitor key performance indicators (KPIs) and other business metrics to ensure alignment with company objectives.
Business Insights and Strategy Support:
- Work closely with business stakeholders (e.g., sales, operations, finance) to understand their data needs and deliver actionable insights.
- Provide data-driven recommendations that support business strategies, process improvements, and performance enhancements.
- Assist in the identification of business opportunities and potential risks based on data analysis.
Data Visualization:
- Create intuitive and visually appealing reports and dashboards that effectively communicate data insights.
- Use visual storytelling techniques to make complex data easy to understand for non-technical stakeholders.
Collaboration and Communication:
- Act as a liaison between business units and technical teams to ensure data is being captured, processed, and reported according to business needs.
- Collaborate with IT and data engineering teams to ensure data quality and integrity across platforms.
- Present findings, recommendations, and data analysis results to executives and other key decision-makers.
Continuous Improvement:
- Stay up-to-date with industry trends and emerging BI tools/technologies to continually improve data analysis capabilities.
- Proactively identify opportunities to enhance data processes, reporting methodologies, and system efficiencies.
EDUCATION/EXPERIENCE AND QUALIFICATIONS:
- Bachelor's degree in Business, Computer Science, Information Technology, Data Science, or a related field.
- Proven experience (2-4 years) as a Business Intelligence Analyst or similar role in data analysis.
- Proficiency in BI tools such as Tableau, Power BI, QlikView, or similar.
- Strong understanding of data warehousing, data modeling, and ETL processes.
- Experience with SQL and data query languages for data extraction and manipulation.
- Experience with machine learning or predictive analytics.
- Knowledge of Python or R for data analysis is a plus.
- Experience in the fresh produce industry is a bonus.
- Strong analytical and critical thinking abilities.
- Excellent communication and interpersonal skills.
- Detail-oriented with a passion for data accuracy.
- Ability to work independently and manage multiple priorities.
- Business acumen and understanding of key business processes.
- Experience with data visualization best practices and techniques.
- Knowledge of advanced Excel functions and data manipulation.
- Strong problem-solving skills and ability to work with large, complex datasets.
The above job description is intended to describe the general content and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Management reserves the right to amend and change responsibilities to meet organizational needs as necessary.
WORK ENVIRONMENT:
- The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- The noise level in the work environment is usually moderate.
PHYSICAL REQUIREMENTS:
- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- While performing the duties of this Job, the employee is regularly required to sit and talk or hear. The employee is frequently required to use hands to finger, handle, or feel. The employee is occasionally required to stand; walk; reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus.
ANALYSIS OF PHYSICAL DEMANDS
Key (Based on typical week):
N=Never
R=Rarely (Less than 1 hour per week)
O=Occasional (1%-33% of time)
F=Frequent (34%-66% of time)
C=Constant (over 66% of time)
NOTE: This job description is not intended to be all-inclusive. Employees may perform other related duties as negotiated to meet the ongoing needs of the organization.