Data Analyst

We are seeking a Data Analyst with a strong foundation in data governance, data analysis, and proficiency in data management tools to join our team. The role involves collaborating with cross-functional teams to analyze and interpret complex datasets, ensuring data integrity and accuracy while supporting data-driven decision-making. The ideal candidate will have 2-4 years of experience in a data analysis role, with a solid understanding of SQL, Python, and SAP. While experience in the logistics domain is preferred, it is not mandatory. This position requires an individual who can handle moderately complex data-related challenges and contribute to business process improvements.

Key Responsibilities:
Perform detailed data analysis to identify trends, patterns, and insights that support business objectives.
Ensure data accuracy and integrity through effective data governance practices, including validation, cleansing, and documentation.
Work with stakeholders to define data requirements and KPIs to support business goals.
Develop and maintain automated reports and dashboards, utilizing SQL and Python to extract and manipulate data.
Analyze business performance metrics, including supply chain metrics, logistics data, and operational KPIs.
Collaborate with cross-functional teams to define and optimize data processes, ensuring consistency and alignment with business requirements.
Support the implementation of data management and governance strategies, ensuring compliance with organizational policies and regulations.
Provide actionable insights through data analysis that help drive business decisions and improve operational efficiency.
Contribute to the development and maintenance of data pipelines, ensuring seamless data flow from source to analysis.
Actively participate in improving data quality and reporting processes through collaboration with various teams.

Skills & Qualifications:
Strong proficiency in SQL for data querying, manipulation, and analysis.
Solid experience in Python for data analysis, automation, and scripting.
Experience with SAP systems, particularly in relation to data extraction and reporting.
Understanding of data governance principles and best practices.
Ability to perform data cleansing and validation to ensure high-quality data.
Experience with business intelligence tools (e.g., Power BI, Tableau) is a plus.
Strong analytical skills with the ability to interpret complex data sets and translate them into actionable insights.
Ability to work independently and in collaboration with cross-functional teams.
Strong communication skills to present findings and explain technical concepts to non-technical stakeholders.
Familiarity with logistics, supply chain, or operational data is preferred but not required.

Education & Experience:
Bachelor s degree in data science, Computer Science, Business Analytics, or a related field
2-4 years of experience in data analysis, with knowledge of data governance, reporting, and analysis techniques.
Experience in a logistics or supply chain environment is advantageous but not mandatory.
Additional Information: Need quick joiners within 30 days.
Interview Process:

• Check the Interview requests raised by Manager in the tool and respond (Accept/Decline) within 2 hours.
• Post Interview Acceptance in the tool, use the attached Interview Schedule template, fill the required details, paste the Teams Invite link and share it with Manager (CC) ACLD Distributor.
• Nominate a Supplier SPOC to coordinate the interview to ensure the resource joins the link 5mins before the start of the call.
• Request for Interview feedback in the same email. (NOTE: Before requesting Interview feedback through email, double check if Manager has already provided interview feedback in the tool.)
• Post Feedback conclude the email conversation with Manager and work with ACLD team for further process.