Analytical Factor
Website:
analyticalfactor.com
Job details:
About Analytical Factor LLC
Analytical Factor LLC is a data analytics and consulting company specializing in demand management, forecasting and supply chain optimization. We work with global clients to improve forecast accuracy, optimize inventory and strengthen planning processes.
We are particularly known for our expertise in Oracle Demantra and Oracle Demand Management Cloud, helping organizations improve forecasting performance and scale their planning capabilities through a combination of advanced analytics and practical business insight.
Role Overview
We are looking for an experienced Data Analyst with a minimum of four years of relevant professional experience to join our team remotely from India.
In this role, you will work on client engagements involving data analysis, demand forecasting and supply chain planning. You will be expected to work independently, analyze complex datasets, identify meaningful insights and communicate findings clearly to both technical and business stakeholders.
This is a full-time remote position based in India, working Sunday through Thursday and aligned with Israel business hours, approximately 9:00 AM to 6:00 PM Israel time.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, anomalies and opportunities for improvement
- Support demand forecasting, inventory analysis and supply chain planning processes
- Work with business and technical stakeholders to understand requirements and translate them into analytical solutions
- Develop and maintain reports, dashboards and structured datasets
- Evaluate forecast accuracy and identify opportunities to improve planning performance
- Perform data validation, cleansing, transformation and preparation
- Investigate data-quality issues and support root-cause analysis
- Document analytical processes, assumptions and findings
- Present insights and recommendations clearly to internal teams and clients
- Work independently while collaborating with a remote global team
Required Qualifications
- Minimum of four years of professional experience in data analysis, business analytics or a related role
- Strong proficiency in Excel, including advanced formulas, pivot tables and data analysis
- Strong SQL skills and experience working with large relational datasets
- Experience developing reports, dashboards and analytical outputs
- Strong understanding of data validation, cleansing and transformation
- Good knowledge of statistical and data-analysis concepts
- Strong analytical and problem-solving skills
- Ability to manage assignments independently in a remote environment
- Strong attention to detail
- Good written and verbal communication skills in English
- Ability to explain analytical findings to both technical and non-technical stakeholders
Preferred Qualifications
- Experience with Python for data analysis and automation
- Experience in supply chain, demand planning, inventory planning or forecasting
- Familiarity with Oracle Demantra, Oracle Demand Management Cloud or similar planning systems
- Experience working with global clients or distributed teams
- Experience with Power BI, Tableau or similar reporting tools
- Familiarity with data modeling and forecasting methodologies
- Experience analyzing forecast accuracy, inventory performance or planning KPIs
Why Join Us
Meaningful Work: Contribute to projects that directly influence planning and business decisions at global companies.
Hands-On Analytics: Work with real operational and supply chain data, not only routine reporting.
Professional Growth: Build deeper expertise in demand forecasting, supply chain analytics and advanced planning systems.
Global Exposure: Collaborate with experienced professionals and clients across different countries and industries.
Remote Flexibility: Work remotely from India as part of a long-term global team.
Candidates with at least four years of relevant professional experience who are interested in applying analytics to real-world forecasting and supply chain challenges are encouraged to apply.
Only shortlisted candidates will be contacted.
Click on Apply to know more.
