Data Analyst

Stellans LLC; Sheridan (WY); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan with employer matching

Flexible work schedule

Remote work options

Tuition reimbursement

Professional development opportunities

Team events

Job summary

Stellans LLC is seeking a Data Analyst to analyze complex datasets, develop insights, and support data-driven decision-making across the organization. You will collaborate with cross-functional teams to optimize key business metrics and improve overall performance.

You will design and maintain dashboards, perform A/B tests, and apply statistical methods to drive improvements. A strong Python and SQL background, plus excellent communication skills, are essential for success.

Qualifications

• Degree required in Statistics, Mathematics, CS, Economics or related field.
• Experience in data analysis, statistical modeling, and hypothesis testing.
• Proficiency in Python for data manipulation and visualization.
• Solid understanding of statistical concepts and data analysis techniques.
• Experience with A/B testing and web analytics tools.
• Familiarity with SQL for data querying.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present insights clearly.

Responsibilities

• Analyze large datasets using tools like Python to extract actionable insights.
• Develop and maintain dashboards and reports to communicate key metrics.
• Conduct A/B tests to evaluate the impact of product changes and marketing campaigns.
• Collaborate with teams to define metrics, establish success criteria, and interpret results.
• Apply statistical techniques to analyze data and improve business processes.
• Perform ad-hoc analyses to answer business questions and identify opportunities for improvement.
• Stay updated on industry trends and best practices in data analysis and reporting.

Skills

Data analysis

Python

Statistical thinking

Communication

Education

Bachelor's degree in Statistics, Mathematics, CS, Economics or related field

Tools

Python

SQL

Job description

We’re looking for a skilled Data Analyst to join our team. In this role, you will analyze complex datasets, develop insights, and support data-driven decision-making across the organization. Collaborating with cross-functional teams, you’ll help optimize key business metrics and improve overall performance.

Key Responsibilities:

• Analyze large datasets using tools like Python to extract actionable insights.
• Develop and maintain dashboards and reports to communicate key metrics.
• Conduct A/B tests to evaluate the impact of product changes and marketing campaigns.
• Collaborate with teams to define metrics, establish success criteria, and interpret results.
• Apply statistical techniques to analyze data and improve business processes.
• Perform ad-hoc analyses to answer business questions and identify opportunities for improvement.
• Stay updated on industry trends and best practices in data analysis and reporting.

Qualifications:

• Degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Experience in data analysis, statistical modeling, and hypothesis testing.
• Proficiency in Python for data manipulation and visualization.
• Solid understanding of statistical concepts and data analysis techniques.
• Experience with A/B testing and web analytics tools.
• Familiarity with SQL for data querying.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present insights clearly.
• Ability to work effectively in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience with machine learning algorithms and techniques.
• Knowledge of digital marketing channels and customer acquisition strategies.
• Familiarity with cloud platforms and big data technologies.
• Understanding of customer lifetime value (LTV) modeling and its business applications.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with employer matching.
• Flexible work schedule and remote work options.
• Professional development opportunities and tuition reimbursement.
• Vibrant company culture with team events and networking opportunities.