Data Analyst

Pinnacle Grove Solutions; Milwaukee (WI); On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plans

Professional development opportunities

Job summary

Pinnacle Grove Solutions in Milwaukee, WI is seeking a Data Analyst to contribute to data-driven decisions and operational improvements. The role involves analyzing data to identify trends, creating reports, and supporting data visualization and BI initiatives.

Salary is negotiable based on experience. You will work with the development team to optimize software performance, develop data models, and communicate insights to stakeholders.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data analysis, preferably in a software development environment.
• Proficiency in SQL, Python, and R.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills.

Responsibilities

• Collect, clean, and analyze large datasets to extract meaningful insights.
• Develop and maintain data models to support business decisions.
• Create visualizations and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to identify data requirements and support data-driven initiatives.
• Stay up-to-date with industry trends and best practices in data analysis.
• Mentor and guide junior team members in data analysis tasks.

Skills

Data analysis

Communication

Team collaboration

Education

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

Tools

SQL

Python

Tableau

Power BI

Job description

Pinnacle Grove Solutions, a software development company in Milwaukee, WI, seeks a Data Analyst for a FULL_TIME role. You'll contribute to data-driven decisions and operational improvements. Salary is negotiable.

As a Data Analyst, you'll analyze data to identify trends, create reports, and provide insights. You'll work with our development team to optimize software performance. You'll also assist in data visualization and business intelligence.

You'll join our team in Milwaukee, WI, working in a collaborative environment. Our office is located in the heart of the city, with modern facilities and a supportive work culture.

Salary negotiation is often influenced by the candidate's years of experience in the field. Those with a longer track record may command higher salaries due to their proven track record of performance. Employers typically offer a range of benefits to attract and retain top talent. Health insurance is a common benefit, providing financial protection against medical expenses. Retirement plans, such as 401(k)s, allow employees to save for their future. Professional development opportunities, including training programs and workshops, help employees enhance their skills and advance their careers. These benefits contribute to a comprehensive compensation package that values the employee's contributions.

You should have a bachelor's degree in Data Science, Statistics, or a related field. Experience with SQL, Python, and data visualization tools is required. Familiarity with Agile methodologies is a plus.

Pinnacle Grove Solutions values diversity and encourages individuals from all backgrounds to apply.

What you will do:

1. Collect, clean, and analyze large datasets to extract meaningful insights.
2. Develop and maintain data models to support business decisions.
3. Create visualizations and reports to communicate findings to stakeholders.
4. Collaborate with cross-functional teams to identify data requirements and support data-driven initiatives.
5. Stay up-to‑date with industry trends and best practices in data analysis.
6. Mentor and guide junior team members in data analysis tasks.

What we need:

1. Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
2. 3+ years of experience in data analysis, preferably in a software development environment.
3. Proficiency in SQL, Python, and R.
4. Experience with data visualization tools such as Tableau or Power BI.
5. Strong problem‑solving skills and attention to detail.
6. Excellent communication and interpersonal skills.