What are the responsibilities and job description for the Data Analyst Supply Chain position at Central Business Solutions?
Job Details
Duration: 12 Months (Long Term with possible extensions)
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Description
Data Analyst IV Supply Chain
Experience: A minimum of 7 years of relevant experience is required.
Responsibilities:
Gather complex data inputs from multiple sources, both internally and externally. Identify new data sources that will enhance business outcomes and support strategic and tactical objectives. Provide insight and guidance to stakeholders on the trends and drivers behind the results and prepare reports on findings.
Assesses the needs of the business, prioritize projects and drive new reporting requirements to completion. Work cross-functionally as needed to enable data architecture and solutions that best meet the analytics and reporting needs of the business. Drive clarity or requirements and ensure delivery meets agreed upon requirements.
Define & Support processes to improve data quality, including:
o Frequency of data collection.
o Consistency (normalization).
o Automation of data gathering activities.
o Validation of datasets to confirm Source and Databricks datasets match
Ability to work across multiple business lanes and provide support and assistance wherever needed. The role requires flexibility and solid communication skills.
Role Overview:
As a Data Analyst, you will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must be able to work across the entire data analysis lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement. Paramount to this role is the understanding that a Data Analyst's goal is to create real business value from data.
Ideal Candidate Profile:
Proficiency in designing and executing data validation tests, identifying inconsistencies, and ensuring data quality across various sources and pipelines.
Strong knowledge of SQL and scripting languages (e.g., Python, R) to query, analyze, and manipulate data for testing purposes, and Power BI for data visualization.
Ability to understand, analyze, and document data requirements, including validation criteria and acceptance thresholds for new data features or pipelines.
Familiarity with Extract, Transform, Load (ETL) processes, and data warehousing concepts to validate data integrity and transformation logic.
Strong analytical skills to identify issues, perform root-cause analysis, and ensure data alignment with business needs.
Excellent communication skills to work cross-functionally with data engineers, product owners, and business analysts for effective requirement validation and feedback.
