Data Analyst

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the role

As a Data Analyst at In-house Operations, you will be responsible for analyzing large datasets to provide insights that drive business decisions. You will work closely with cross-functional teams to understand business needs and translate them into actionable data-driven strategies.

Responsibilities

• Conduct in-depth analysis of complex datasets using statistical methods and machine learning techniques.
• Develop and maintain databases and data models to ensure data integrity and accessibility.
• Present findings and recommendations through reports, dashboards, and presentations to stakeholders.
• Collaborate with other departments to gather requirements and ensure data quality.
• Stay updated with the latest trends and technologies in data analysis and machine learning.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• At least 2 years of experience in data analysis or a related field.
• Strong proficiency in SQL, Python, and/or R.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent communication and collaboration skills.

Qualifications

• Ability to handle ambiguity and prioritize tasks effectively.
• Strong problem-solving and analytical skills.
• Experience working with large-scale datasets and distributed systems.
• Knowledge of data warehousing and ETL processes.

Skills

• Proficiency in SQL, Python, and/or R.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong understanding of statistical methods and machine learning algorithms.
• Excellent communication and collaboration skills.

Benefits

• Competitive compensation package.
• Flexible remote work options.
• Professional development opportunities.
• Health insurance coverage.
• Employee assistance program.

Pay

Salary range: $60,000 - $80,000 per year.

Schedule

Full-time position, 40 hours per week.