Data Analyst

Atlas Prime; Chicago (IL); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

Vision plans

401(k) retirement plan with company-m匹

Tuition reimbursement and professional

Job summary

Atlas Prime is seeking a Data Analyst in Chicago to transform raw data into actionable insights. You will collect, process, and interpret data, build dashboards, and partner with multiple teams to inform strategic decisions.

The ideal candidate will have a bachelor’s degree in a data-related field and experience with SQL, Python and R, plus proficiency in Tableau or Power BI. This is an on-site role with collaboration across a data-focused team.

Qualifications

• Bachelor's degree in data-related field.
• Proven experience in data analysis with SQL, Python and R.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong problem-solving skills and ability to think critically about data.
• Excellent communication and interpersonal skills for presenting findings.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights informing business decisions.
• Develop and maintain dashboards and reports to visualize KPIs.
• Collaborate with stakeholders to understand data needs and deliver actionable insights.
• Clean, transform, and prepare data for analysis using various tools and techniques.
• Utilize statistical methods and machine learning algorithms to predict trends and outcomes.
• Stay up-to-date with industry trends and emerging technologies in data analysis.

Skills

SQL

Python

R

Education

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

Tools

Tableau

Power BI

Job description

Atlas Prime, a prominent financial services company, is hiring a Data Analyst for a FULL_TIME position in Chicago, IL. The role involves analyzing data to support strategic decisions, collaborating with various teams, and ensuring data accuracy and integrity.

The Data Analyst will collect, process, and interpret data to identify trends and patterns. You'll create reports and dashboards to visualize insights, assist in developing data models, and provide data-driven recommendations to stakeholders.

This position is based in Chicago, IL, and you'll work in a collaborative environment with a team of data professionals. The office is located in the heart of the city, offering easy access to public transportation and amenities.

The salary for this role is negotiable, reflecting the candidate's qualifications, experience, and the specific responsibilities of the position.

• Benefits include comprehensive health insurance coverage, which may extend to medical, dental, and vision plans, as well as wellness programs.
• Retirement plans are also offered, typically in the form of a 401(k) or similar employer-sponsored retirement savings plan, with potential employer matching contributions.
• Professional development opportunities are provided through tuition reimbursement, access to online learning platforms, and sponsorship for industry conferences or workshops.
• Additional perks, such as flexible work arrangements, employee discounts, or wellness stipends, may be discussed during the hiring process, depending on the company's policies and the candidate's needs.

To excel in this role, you should have a bachelor's degree in data analysis, statistics, or a related field. Proficiency in SQL, Python, or R is required. Experience with data visualization tools like Tableau or Power BI is a plus.

Job Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that inform business decisions.
• Develop and maintain dashboards and reports to visualize key performance metrics.
• Collaborate with stakeholders to understand data needs and deliver actionable insights.
• Clean, transform, and prepare data for analysis using various tools and techniques.
• Utilize statistical methods and machine learning algorithms to predict future trends and outcomes.
• Stay up-to-date with industry trends and emerging technologies in data analysis.

Job Requirements:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience in data analysis, with a strong background in SQL, Python, and R.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong problem-solving skills and the ability to think critically about complex data sets.
• Excellent communication and interpersonal skills, with the ability to present findings to both technical and non-technical audiences.
• Ability to work independently and as part of a team in a fast-paced environment.