Data Analyst

Aspen Global Group; Baltimore (MD); On-site; USD 95,000 - 133,000; Full time

Benefits offered by this job

Health insurance

401(k) with match

Professional development opportunities

Job summary

Aspen Global Group in Baltimore, MD is seeking a Data Analyst to analyze complex data sets, build reports, and provide actionable insights to support business decisions.

The role requires a Bachelor's degree in a related field, 2+ years of data analysis experience, and proficiency with SQL, Python, and Excel, plus experience with Tableau or Power BI. The position offers full-time employment with salary range $95,000–$133,209 and a strong benefits package.

Qualifications

• Bachelor's degree in data analysis, statistics, or a related field.
• 2+ years of experience in data analysis or a related role.
• Proficiency in SQL, Python, and Excel.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Analyze and interpret complex data sets to identify trends and insights.
• Develop and maintain data models to support business decisions.
• Create reports and dashboards to visualize data and communicate insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Ensure data accuracy and integrity by implementing data validation and quality control processes.

Skills

Analytical skills

Problem solving

Attention to detail

Team collaboration

Education

Bachelor's degree in Data Science, Statistics, Mathematics, or a related field

Tools

SQL

Python

Excel

Tableau

Power BI

Job description

Aspen Global Group, a global logistics and supply chain management company, seeks a Data Analyst in Baltimore, MD. This full-time position offers a salary range of $95,000 to $133,209.

As a Data Analyst, you will analyze complex data sets, create reports, and provide insights to support business decisions. You will also develop and maintain data models, and ensure data accuracy and integrity.

You will collaborate closely with the logistics and supply chain teams in Baltimore, MD, where the workplace environment is professional and fosters a collaborative atmosphere. This setting provides ample opportunities for growth and development, allowing you to expand your skills and advance your career. The team is dedicated to maintaining a productive and supportive work environment, ensuring that you have the resources and guidance needed to succeed.

The annual salary range for this position is between $95,000 and $133,209, providing a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, to support their well-being. Additionally, the company offers robust retirement plans, such as a 401(k) with matching contributions, to help employees save for their future. Professional development opportunities are also available, allowing staff to enhance their skills and advance their careers within the organization.

You should have a bachelor's degree in data analysis, statistics, or a related field. Experience with data analysis tools like SQL, Python, or R is required. Strong problem-solving skills and attention to detail are essential.

The deadline for submitting your application is November 22, 2026. It is important to note that applications submitted after the deadline will not be considered.

• Analyze and interpret complex data sets to identify trends and insights.
• Develop and maintain data models to support business decisions.
• Create reports and dashboards to visualize data and communicate insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Ensure data accuracy and integrity by implementing data validation and quality control processes.
• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in data analysis or a related role.
• Proficiency in SQL, Python, and Excel.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving and analytical skills.