Data Analyst

Nimbus Meadows Group; Albuquerque (NM); On-site; USD 130,000 - 188,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan with employer matching

Professional development workshops

Professional training programs

Conference access

Flexible work environment

Wellness programs

Employee discounts

Paid time off

Job summary

Nimbus Meadows Group in Albuquerque, NM is seeking a passionate Data Analyst for a full-time role focused on analyzing complex datasets and delivering insightful reports to drive strategic decisions. You will work with SQL, Python and Excel, present findings to stakeholders, and contribute to trends analysis.

A related bachelor's degree and 2–3 years of experience are preferred; competitive benefits include health, retirement, and professional development.

Qualifications

• Strong background in data analysis and statistical methods.
• Experience using SQL, Python and Excel to manipulate and visualize data.
• Ability to communicate complex data insights clearly and concisely.

Responsibilities

• Analyze complex datasets and create insightful reports.
• Present findings to stakeholders to support strategic decisions.
• Identify trends and opportunities to help the business stay ahead.

Education

Bachelor's degree in a related field

Tools

SQL

Python

Excel

Job description

Nimbus Meadows Group, a dynamic company based in Albuquerque, NM, is seeking a passionate Data Analyst. This full-time role involves analyzing complex datasets and creating insightful reports to drive strategic decisions.

Your day will be filled with analyzing complex datasets, creating insightful reports, and presenting your findings to stakeholders. You'll work closely with our team to identify trends and opportunities, ensuring we stay ahead of the curve.

You'll be working in a vibrant office environment in Albuquerque, NM, where innovation and teamwork are at the heart of everything we do. Our office is a hub of creativity and collaboration, providing the perfect setting for a Data Analyst to thrive.

The annual compensation for this role ranges from $130,000 to $187,733, offering a attractive compensation that reflects the responsibilities and skills required.

In addition to the base pay, employees receive a comprehensive benefits package designed to support their professional development and personal well-being.

• health insurance
• dental insurance
• vision insurance
• retirement plans with employer matching contributions
• professional development through workshops
• professional development through training programs
• professional development through access to industry conferences
• flexible work environment
• wellness programs
• employee discounts
• paid time off

The benefits are structured to ensure that employees have the resources and support needed to thrive both in their careers and in their personal lives.

To excel in this role, you'll need a strong background in data analysis, with experience in tools like SQL, Python, and Excel. You should be comfortable with statistical analysis and data visualization. A degree in a related field is preferred, and your ability to communicate complex data insights clearly is a must.

This role requires a strong background in statistical analysis, proficiency in tools like SQL, Python, or R, and the ability to interpret complex datasets. You'll work closely with cross-functional teams to identify trends, solve problems, and make data-driven decisions. The ideal candidate will have a bachelor's degree in a related field, along with 2-3 years of experience in a data analyst position. The workplace is dynamic and collaborative, with opportunities for professional development and growth. If you're passionate about data and eager to contribute to meaningful projects, this could be the perfect opportunity for you.

• Analyze complex datasets, create insightful reports, present findings to stakeholders, identify trends and opportunities.
• Strong background in data analysis, experience with SQL, Python, and Excel, comfortable with statistical analysis and data visualization, degree in a related field preferred, ability to communicate complex data insights clearly.