Data Analyst

Beacon Pacific Inc.; San Antonio (TX); In loco; USD 70.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Retirement plan with employer matching

Professional development opportunities

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Analytical thinking

Problem-solving

Communication skills

Formazione

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

Strumenti

SQL

Python

Excel

Tableau

Power BI

Descrizione del lavoro

Beacon Pacific Inc. seeks a Data Analyst in San Antonio, TX, for a FULL_TIME position. The role involves analyzing logistics and supply chain data to provide insights for business growth. Salary is negotiable.

The Data Analyst will collect, clean, and analyze data to identify trends and patterns. They will create reports and dashboards to visualize insights. The role requires strong analytical and problem-solving skills.

The Data Analyst will work in a collaborative team environment in San Antonio, TX, where they will collaborate with cross-functional teams to understand business needs and provide data-driven solutions. This role involves working closely with marketing, sales, and operations teams to gather and analyze data, ensuring that the insights generated are relevant and actionable. The Data Analyst will also be responsible for creating reports and dashboards that visualize key metrics, helping stakeholders make informed decisions. Additionally, they will participate in meetings and presentations to share findings and recommendations, fostering a culture of data-driven decision-making within the organization.

The salary for this position is negotiable, and the benefits package may include comprehensive health insurance, retirement plans with employer matching contributions, and opportunities for professional development such as workshops, courses, and certifications. The exact details of the benefits will be discussed and negotiated during the hiring process.

The candidate should have a bachelor's degree in data science, statistics, or a related field. Experience with SQL, Python, and data visualization tools is required. Strong communication skills are essential.

• Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
• Develop and maintain data models and dashboards to visualize key performance indicators (KPIs) and other important metrics.
• Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
• Clean, transform, and prepare data for analysis, ensuring data quality and accuracy.
• Present findings to stakeholders in a clear and compelling manner, using data to support recommendations and strategies.
• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• 2+ years of experience in data analysis, preferably in a business or industry context.
• Proficient in SQL, Python, and Excel.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills and attention to detail.