Channel Data Analyst: Inventory & KPI Insights

Talentstream; United States; Remote; USD 65,000 - 110,000; Full time

Job summary

Talentstream is seeking a data-driven Analyst to optimise channel data across POS, inventory, and distribution systems. You will develop reports and dashboards to monitor performance, track KPIs, and present actionable insights to stakeholders.

In this techno-functional role, you will collaborate with IT, sales, marketing, and supply chain teams, ensure data integration accuracy, and maintain documentation and data quality standards. Strong Excel, BI tool, and programming knowledge are essential.

Qualifications

• Candidates must demonstrate strong analytical, problem-solving, and communication skills.
• Experience with channel data management, POS and inventory data is required.
• Advanced Excel skills (VLOOKUP, PivotTables, macros) are essential.
• Familiarity with BI tools such as Power BI, Qlik, or Tableau is preferred.
• Knowledge of SQL, Python or project management is a plus.

Responsibilities

• Analyse POS, inventory, and distribution data to improve channel efficiency.
• Manage channel data integration, accuracy, and consistency across systems.
• Develop reports and dashboards to monitor channel performance and inventory.
• Track KPIs, analyse trends, and recommend operational improvements.
• Collaborate with IT, sales, marketing, and supply chain teams.
• Maintain data quality standards and process documentation.
• Present actionable insights to stakeholders.

Skills

Analytical thinking

Problem-solving

Communication

Education

Bachelor's degree in Business Analytics or related field

Tools

Excel

Power BI

Qlik

Tableau

SQL

Python

Job description

Talentstream is seeking a data-driven Analyst to optimise channel data across POS, inventory, and distribution systems. You will develop reports and dashboards to monitor performance, track KPIs, and present actionable insights to stakeholders.

In this techno-functional role, you will collaborate with IT, sales, marketing, and supply chain teams, ensure data integration accuracy, and maintain documentation and data quality standards. Strong Excel, BI tool, and programming knowledge are essential.