Data Processing Analyst

Shankar Distillers; Troy (MI); Remote; USD 80,000 - 100,000; Full time

Job summary

A data-driven organization is seeking a Data Processing Analyst to manage, clean, validate, and analyze data in a flexible remote environment. The ideal candidate will possess strong data management skills, a keen attention to detail, and the ability to work independently. Key responsibilities include data collection and validation, issue resolution, and collaboration with teams to ensure data accuracy. Opportunities for professional growth and exposure to modern data technologies await the right candidate.

Benefits

Fully remote and flexible work environment

Competitive compensation based on experience

Opportunities for professional growth and skill development

Supportive and data-driven team culture

Exposure to diverse projects and modern data technologies

Qualifications

• Proven experience as a Data Analyst, Data Processing Specialist, or similar role.
• Proficient in tools such as Excel, Google Sheets, SQL, or Python for data manipulation.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Experience with data visualization tools (e.g., Power BI, Tableau, or Looker) is a plus.
• Ability to manage multiple projects and meet deadlines in a remote setting.
• Strong communication skills for reporting and team collaboration.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience).

Responsibilities

• Collect, process, and validate large volumes of data from multiple sources.
• Clean and format data to ensure accuracy, consistency, and completeness.
• Identify, investigate, and resolve data quality issues.
• Maintain and update databases, spreadsheets, and data processing systems.
• Collaborate with internal teams to ensure timely and accurate data delivery.
• Generate routine and ad hoc reports for analysis and performance tracking.
• Support automation and efficiency improvements in data workflows.
• Ensure compliance with data privacy and security standards.

Job description

We are seeking a detail-oriented and analytical Data Processing Analyst to join our team. This role involves managing, cleaning, validating, and analyzing data to support business operations and decision-making. The ideal candidate has strong data management skills, high attention to detail, and the ability to work independently in a flexible, remote environment.

Key Responsibilities

• Collect, process, and validate large volumes of data from multiple sources.
• Clean and format data to ensure accuracy, consistency, and completeness.
• Identify, investigate, and resolve data quality issues.
• Maintain and update databases, spreadsheets, and data processing systems.
• Collaborate with internal teams to ensure timely and accurate data delivery.
• Generate routine and ad hoc reports for analysis and performance tracking.
• Support automation and efficiency improvements in data workflows.
• Ensure compliance with data privacy and security standards.

Qualifications & Skills

• Proven experience as a Data Analyst, Data Processing Specialist, or similar role.
• Proficient in tools such as Excel, Google Sheets, SQL, or Python for data manipulation.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Experience with data visualization tools (e.g., Power BI, Tableau, or Looker) is a plus.
• Ability to manage multiple projects and meet deadlines in a remote setting.
• Strong communication skills for reporting and team collaboration.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience).

Work Schedule

• Flexible working hours — autonomy to set your schedule while meeting project deadlines.
• Full-time or part-time remote position, depending on business needs.
• Collaboration across time zones may be required for team meetings.

Benefits

• Fully remote and flexible work environment.
• Competitive compensation based on experience.
• Opportunities for professional growth and skill development.
• Supportive and data-driven team culture.
• Exposure to diverse projects and modern data technologies.