Analytical Factor
Website:
analyticalfactor.com
Job details:
Location: India (Remote)
Employment Type: Full-Time
Analytical Factor is looking for an experienced Senior Data Analyst / Team Lead to join our growing team in India.
We are seeking a highly analytical, technically strong professional with experience in Demand Planning, Supply Chain Planning, Forecasting, Inventory Planning, or related areas, who can independently lead analytical initiatives, communicate directly with international customers, and guide a team of analysts.
This is a full-time remote position suited for someone who combines hands-on technical expertise, strong problem-solving abilities, and the leadership skills needed to support complex customer engagements.
Key Responsibilities
- Lead, mentor, and provide technical guidance to a team of data analysts.
- Analyze large and complex datasets to identify trends, anomalies, and actionable business insights.
- Support demand planning, forecasting, supply chain, and business planning initiatives.
- Conduct customer meetings to gather requirements, discuss findings, and present recommendations.
- Serve as a primary point of contact for customers on assigned analytical activities.
- Perform data validation, reconciliation, and root-cause analysis.
- Develop analytical reports, models, and dashboards to support business decisions.
- Investigate data and forecasting issues and recommend practical solutions.
- Support the implementation, optimization, and ongoing improvement of demand planning and forecasting solutions.
- Coordinate analytical activities, review deliverables, and ensure the quality and accuracy of the team's work.
- Collaborate with consultants, developers, and international stakeholders.
Requirements
- Minimum 5 years of professional experience in data analysis, supply chain analytics, demand planning analytics, or a related field.
- Hands-on experience in Demand Planning, Forecasting, Supply Chain Planning, Inventory Planning, or S&OP.
- Strong proficiency in SQL, relational databases, and working with large datasets.
- Advanced proficiency in Microsoft Excel.
- Demonstrated experience leading, mentoring, or supervising analysts.
- Proven ability to independently manage analytical activities and resolve complex data issues.
- Experience communicating directly with customers, gathering requirements, and presenting analytical findings.
- Excellent spoken and written English, with the confidence to lead meetings with international customers.
- Strong analytical thinking, attention to detail, and problem-solving skills.
- Ability to coordinate multiple priorities and deliver quality work within agreed timelines.
- Ability to work independently in a full-time remote environment.
- Availability to participate in customer meetings across international time zones, including occasional overlap with U.S. business hours.
Preferred Qualifications
- Experience with Oracle Demantra, Oracle Cloud Demand Management, Oracle Supply Chain Planning, or similar enterprise planning solutions.
- Experience with statistical forecasting, demand forecasting models, or forecast accuracy analysis.
- Experience with Python, Power BI, Tableau, or other analytical and reporting tools.
- Experience supporting supply chain planning system implementations or optimization projects.
- Experience working in consulting or customer-facing analytical roles.
- Previous experience managing a distributed or remote team.
Important
- This is a full-time, remote position for candidates based in India.
- The role requires direct communication with international customers and leadership of analytical activities.
- Candidates must have strong hands-on analytical capabilities. This is not a purely managerial or operational planning role.
- Candidates must be able to participate in international customer meetings when needed.
- The position is not suitable for candidates currently enrolled as full-time students.
If you are an experienced data analyst with a strong background in demand planning and supply chain analytics, and enjoy leading teams while solving complex business problems, we would be happy to hear from you.
Click on Apply to know more.
