Data Analyst

Online River; United States; On-site; USD 41,328 - 46,838; Part time

Job summary

Online River is hiring a part-time Data Analyst in New York. The role involves interpreting data, analyzing results using statistical techniques, and providing reports to support decision-making. Candidates must have a Bachelor’s degree in a related field and proficiency in tools like SQL, Python, and Excel. The ideal candidate has proven experience with large datasets and strong analytical skills. They will collaborate with various departments to enhance data-driven business processes, ensuring accuracy and quality in reporting.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience as a Data Analyst or similar role, with a strong track record of working with large datasets.
• Proficiency in data analysis tools such as Excel, SQL, R, Python, or Tableau.

Responsibilities

• Collect, process, and analyze large datasets to identify trends and insights.
• Prepare reports and dashboards to communicate findings to stakeholders.
• Monitor data integrity, identify discrepancies, and recommend corrective measures.

Skills

Data Analysis

Statistical Techniques

Data Visualization

SQL

Python

Excel

Education

Bachelor’s degree in Data Science or related field

Tools

Tableau

Power BI

Job description

Data Analyst

Department: Technical

Employment Type: Part Time

Location: New York

Compensation: $30.00 - $34.00 / hour

Description

We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support data-driven decision-making processes. The Data Analyst will work closely with various departments to identify business needs, assess data quality, and develop actionable insights.

Key Responsibilities

• Collect, process, and analyze large datasets to identify trends, patterns, and insights.
• Develop and implement data collection systems, data analytics, and other strategies that optimize efficiency and quality.
• Prepare reports and dashboards to communicate findings to stakeholders in clear, actionable formats.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Collaborate with cross-functional teams to define data requirements and ensure the accuracy of reporting.
• Assist in the design and development of databases, data systems, and data collection strategies.
• Monitor data integrity, identify data discrepancies, and recommend corrective measures.
• Create and maintain technical documentation for data processes and workflows.
• Support business decisions through ad hoc analysis as needed.

Skills, Knowledge and Expertise

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience as a Data Analyst or similar role, with a strong track record of working with large datasets.
• Proficiency in data analysis tools such as Excel, SQL, R, Python, or Tableau.
• Experience with database management systems and ETL processes.
• Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong ability to translate complex data into understandable, actionable insights.
• Ability to work independently as well as in a collaborative team environment.
• Familiarity with data visualization tools like Power BI, Tableau, or similar platforms.
• Strong verbal and written communication skills.