Job Description

A Data Analyst is responsible for collecting, organizing, analyzing, and interpreting large sets of data to uncover insights, identify trends, and provide actionable recommendations. Data analysts work across various industries and play a crucial role in helping organizations make data-driven decisions and optimize their performance. Key Responsibilities: Data Collection and Cleaning: Gather and extract data from various sources, ensuring data accuracy, completeness, and reliability. Clean and preprocess data to remove inconsistencies, errors, and outliers that could impact analysis results. Data Analysis and Interpretation: Apply statistical and analytical techniques to analyze datasets and extract meaningful insights. Identify patterns, trends, correlations, and outliers to understand business performance, customer behavior, market trends, or any other relevant areas of investigation. Data Visualization: Present data analysis findings in a clear and visually appealing manner using charts, graphs, dashboards, or other visual tools. Create informative and easily understandable reports that effectively communicate key insights to stakeholders. Reporting and Presentations: Prepare regular reports and presentations summarizing data analysis results and providing actionable recommendations. Present findings to management or other stakeholders, highlighting key insights and suggesting potential strategies or improvements. Data Quality Assurance: Ensure the integrity and accuracy of data by performing quality checks and validating data sources. Implement data governance practices and contribute to data management processes to maintain high data quality standards. Collaborative Analysis: Work closely with cross-functional teams, such as business stakeholders, data engineers, data scientists, and other analysts, to understand business needs and align analysis objectives. Collaborate to develop comprehensive analytical solutions and contribute to data-driven decision-making processes. Data Tools and Technologies: Utilize data analysis tools, programming languages (such as SQL, Python, R), statistical software, and visualization tools to perform data analysis tasks efficiently. Stay updated on emerging tools and technologies in the data analytics field. Problem-solving and Decision Support: Use data analysis to support decision-making processes, identify opportunities, and solve complex business problems. Provide insights and recommendations to improve operational efficiency, customer satisfaction, or any other identified areas of focus. Data Security and Confidentiality: Ensure the protection and confidentiality of sensitive data by following data privacy regulations and organizational security policies. Adhere to ethical standards when handling and analyzing data. Continuous Learning and Improvement: Stay abreast of industry trends, best practices, and new analytical techniques. Continuously enhance technical skills and knowledge in data analysis, statistical modeling, and data visualization to improve analysis capabilities. Skills and Qualifications:

• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools, programming languages (e.g., SQL, Python, R), and statistical software.
• Knowledge of data visualization techniques and tools (e.g., Tableau, Power BI).
• Familiarity with databases and data querying techniques.
• Attention to detail and ability to work with large datasets.
• Strong communication skills to effectively convey complex findings to non-technical stakeholders.
• Business acumen and ability to translate data insights into actionable recommendations.
• Understanding of statistical concepts and data modeling techniques.
• Knowledge of data governance, privacy, and security principles.
• Ability to work independently and collaboratively in a team environment.

Job Types: Full-time, Part-time Pay: $78,368.13 - $94,378.81 per year Benefits:

• 401(k)
• 401(k) matching
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance
• Work from home

Compensation package:

• Bonus pay
• Hourly pay
• Performance bonus

Experience level:

• 1 year

Schedule:

• Choose your own hours
• Monday to Friday

People with a criminal record are encouraged to apply Ability to commute/relocate:

• Las Vegas, NV: Reliably commute or planning to relocate before starting work (Required)

Education:

• High school or equivalent (Preferred)

Experience:

• SQL: 1 year (Preferred)

Work Location: Hybrid remote in Las Vegas, NV