Data Analyst- Pipeline

Remote Jobs; Massachusetts; On-site; USD 65,000 - 95,000; Full time

Job summary

Remote Jobs is seeking a detail-oriented Data Analyst to join our team in Massachusetts. You will collect, process, and statistically analyze large datasets to provide actionable insights for business decisions.

Proficiency with SQL, R, or Python is essential to identify trends and prepare reports for management. You will develop data analyses and data collection systems, maintain databases, and look for opportunities to improve data quality and statistical efficiency.

Qualifications

• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
• Proven working experience as a Data Analyst or Business Data Analyst.
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
• Strong knowledge of and experience with reporting packages (e.g., Business Objects), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks).
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing, and presenting findings.

Responsibilities

• Collect, process, and clean data from various sources.
• Perform statistical analysis of data using tools such as SQL, R, or Python.
• Create and maintain databases and data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Develop and implement data analyses, data collection systems, and other strategies to optimize statistical efficiency and data quality.
• Prepare reports for the management stating trends, patterns, and predictions using relevant data.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.

Skills

Analytical skills

SQL

R

Python

Data mining

Data modeling

Reporting

Excel

JavaScript

Education

Bachelor's degree in Mathematics/Economics/Computer Science/Information Management/Statistics or related field

Tools

Business Objects

ETL tools

Databases

Job description

Our company is a leader in data-driven solutions, leveraging the power of analytics to transform information into insights. We specialize in turning complex data into actionable strategies, driving growth and efficiency across various industries. Our team is committed to excellence, innovation, and harnessing the full potential of data to make informed decisions.

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. This role involves collecting, processing, and performing statistical analysis on large datasets. You will play a key role in interpreting data to provide actionable insights for our business decisions.

Key Responsibilities:

• Collect, process, and clean data from various sources.
• Perform statistical analysis of data using tools such as SQL, R, or Python.
• Create and maintain databases and data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Develop and implement data analyses, data collection systems, and other strategies to optimize statistical efficiency and data quality.
• Prepare reports for the management stating trends, patterns, and predictions using relevant data.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.

Qualifications

• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
• Proven working experience as a Data Analyst or Business Data Analyst.
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
• Strong knowledge of and experience with reporting packages (e.g., Business Objects), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks).
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing, and presenting findings.

Summary

Responsible for collecting, processing, and statistically analyzing large datasets to provide insights for business decisions. Key tasks include performing data analysis using tools like SQL, R, or Python, identifying data trends, preparing reports, and seeking opportunities for process improvement.