Supply Chain Data Analyst - Day 1 Onsite Job at Arkhya Tech Inc in Dallas

Role Overview: We are seeking a skilled and detail-oriented Supply Chain Data Analyst with over three years of experience in data mining, evaluation, and visualization. The ideal candidate will possess strong technical and analytical skills, with the ability to transform complex data into actionable insights. This role requires proficiency in SQL and Python, and an aptitude for learning other analytics tools. A basic understanding of supply chain functions and processes is also essential.

Key Responsibilities:

Perform data mining, evaluation, and visualization to support supply chain decision- making.

Develop and maintain queries, reports, and presentations to communicate findings effectively.

Utilize SQL and Python to analyze data and generate insights specific to supply chain operations.

Collaborate with cross-functional teams to understand data requirements and deliver solutions.

Support supply chain functions by providing data-driven insights into Sales & Operations

Planning (S&OP) and Sales & Operations Execution (S&OE) processes.

Ensure data quality and integrity throughout the ETL process and maintain data warehousing standards.

Stay up-to-date with industry trends and tools, particularly in integrated business planning (IBP) solutions, with a preference for O9 tools.

Qualifications:

Bachelor's degree in Supply Chain Management, Computer Science, Statistics,

Mathematics, Data Science, or a related field.

Minimum of three years of experience as a data analyst, with a proven track record in data mining, evaluation, and visualization.

Strong technical writing skills, with experience in creating queries, reports, and presentations.

Proficiency in SQL and Python, with the ability to learn and adapt to other analytics tools.

Basic knowledge of supply chain functions and processes.

Understanding of Sales & Operations Planning (S&OP) and Sales & Operations

Execution (S&OE) processes.

Familiarity with IBP tools such as O9 is a plus.

Awareness of fundamental data warehousing concepts, including ETL processes and data quality management.

Desired Skills:

Excellent problem-solving and analytical skills.

Strong communication and presentation abilities.

Ability to work independently and as part of a team.

Detail-oriented with a strong focus on accuracy and quality.

Proactive and self-motivated with a continuous learning mindset.