Data Analyst: Insights & Dashboards for Growth

Beacon Pacific Inc.; San Antonio (TX); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Professional development opportunities

Job summary

Beacon Pacific Inc. in San Antonio, TX, is seeking a Data Analyst to analyze logistics and supply chain data and deliver actionable insights.

The role involves collecting, cleaning, and analyzing data to identify trends, creating reports and dashboards, and collaborating with marketing, sales, and operations teams. The position requires a bachelor’s degree in data science, statistics, or a related field and 2+ years of data analysis experience.

Qualifications

• Bachelor's degree in data science, statistics, or a related field.
• 2+ years of data analysis experience in a business context.
• Proficient in SQL, Python, and Excel.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights that inform business decisions.
• Develop and maintain data models and dashboards to visualize KPIs and metrics.
• Collaborate with cross-functional teams to translate business needs into data requirements.
• Clean, transform, and prepare data for analysis, ensuring data quality and accuracy.
• Present findings to stakeholders clearly to support recommendations and strategies.
• Produce reports and dashboards to visualize insights for marketing, sales, and operations teams.

Skills

Analytical thinking

Problem-solving

Communication skills

Education

Bachelor's degree in data science, statistics, or related field

Tools

SQL

Python

Excel

Tableau

Power BI

Job description

Beacon Pacific Inc. in San Antonio, TX, is seeking a Data Analyst to analyze logistics and supply chain data and deliver actionable insights.

The role involves collecting, cleaning, and analyzing data to identify trends, creating reports and dashboards, and collaborating with marketing, sales, and operations teams. The position requires a bachelor’s degree in data science, statistics, or a related field and 2+ years of data analysis experience.