Job Title: Data Analyst
Location:Remote (EST Time Zone)
Salary Range:up to 2000 USD
Work Schedule:Monday - Friday, 9:00 AM to 5:00 PM (EST)
NOTE: INDEPENDENT CONTRACTOR POSITION
Company Overview:
Sagan is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent.
We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies.
Discover a world of career possibilities with Sagan.
About the Company:
Sagan represents a manufacturing-focused company that manages complex data from multiple ERP systems.
The internal culture values accuracy, efficiency, and cross-department collaboration to solve business problems and improve performance across operations.
Position Overview:
Were looking for a skilled Data Analyst to own and optimize our reporting processes across multiple ERP systems.
This role is critical in transforming raw manufacturing data into clean, actionable insights and dashboards for cross-functional teams.
You'll work directly with stakeholders to highlight trends, track key metrics, and improve operational efficiency.
Key Responsibilities:
Build and maintain visual dashboards to surface key business metrics
Manage routine reporting processes and ensure high data accuracy
Analyze and consolidate data from multiple ERP systems
Spot trends and provide insights that improve operations and efficiency
Collaborate across teams to solve business problems using data
Standardize reporting methods across platforms and departments
Qualifications:
Proficiency with Excel and data modeling techniques
Experience with database systems and dashboarding tools (platform flexible)
Strong analytical mindset with attention to detail
Ability to translate complex data into clear visuals and business insights
Prior experience with manufacturing or ERP-related datasets is a plus
Solid English communication skills (written and verbal)
Nice-to-Haves:
Familiarity with manufacturing KPIs like yield, defect rate, or output tracking
Experience cleaning and integrating data from disparate systems
Knowledge of tools like Power BI, Tableau, or Looker
Resume Submission Guidelines:
To help us review your application efficiently, please submit your resume intext-based PDF format only.
Avoid uploading scanned documents, image files (JPG/PNG), or Word documents (DOC/DOCX) format to prevent your application from being overlooked.
Important:For timely processing, both yourresumeandintroductory videomust be submitted inEnglish.