Data Analyst

Nimbus Pacific Solutions; Austin (TX); On-site; USD 95,000 - 139,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Professional development opportunities

Job summary

Nimbus Pacific Solutions in Austin, TX seeks a Data Analyst to analyze and interpret complex data to drive business decisions. You will clean data, build visualizations, and perform statistical analysis on large datasets to identify trends.

Collaborate with software developers and IT professionals in a dynamic environment. The role offers growth, mentorship, and opportunities to work on cutting-edge projects, with a comprehensive benefits package and ongoing training.

Qualifications

• Bachelor's degree in statistics, mathematics, CS, or a related field.
• 2–4 years of data analysis experience.
• Proficiency in SQL, Python, and R.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Develop and maintain data models and algorithms.
• Create visualizations and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand business requirements.
• Ensure data accuracy and integrity through validation and quality checks.
• Support the implementation of data-driven solutions and strategies.
• Stay updated with industry trends and emerging technologies.
• Mentor junior analysts and contribute to team knowledge sharing.

Skills

Data analysis

Critical thinking

Communication

Team collaboration

Education

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

Tools

SQL

Python

R

Tableau/Power BI

Job description

Nimbus Pacific Solutions, a leading technology company in Austin, TX, seeks a Data Analyst for a FULL_TIME position. This role involves analyzing and interpreting complex data to drive business decisions.

The Data Analyst will perform tasks such as data cleaning, visualization, and statistical analysis. You will work with large datasets to identify trends and provide actionable insights.

You will collaborate with a team of software developers and IT professionals in a dynamic and innovative environment. The workplace is located in the vibrant city of Austin, TX, known for its thriving tech industry and diverse community. This role offers numerous opportunities for professional growth, including access to advanced training programs, mentorship from experienced professionals, and the chance to work on cutting-edge projects. You will have the opportunity to contribute to and learn from a team that values collaboration, creativity, and continuous improvement. The workplace culture is supportive and inclusive, fostering an environment where employees can thrive and achieve their career goals.

The salary range for this position is between $95,000 and $138,855 per year, which is competitive within the industry. In addition to the base salary, the role offers a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and professional development opportunities. The compensation package is designed to attract and retain top talent, ensuring that employees are rewarded for their contributions and hard work.

You must have a degree in data analysis, statistics, or a related field. Experience with SQL, Python, and data visualization tools is required.

Submit your application by November 23, 2026.

Responsibilities:

• Analyze large datasets to identify trends and patterns.
• Develop and maintain data models and algorithms.
• Create visualizations and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand business requirements.
• Ensure data accuracy and integrity through validation and quality checks.
• Support the implementation of data-driven solutions and strategies.
• Stay updated with industry trends and emerging technologies.
• Mentor junior analysts and contribute to team knowledge sharing.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• 2-4 years of experience in data analysis or a similar role.
• Proficiency in SQL, Python, and R.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving and critical thinking skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Knowledge of machine learning and statistical analysis is a plus.