Postúlate en Kit Empleo: kitempleo.com.co/empleo/1b1lpl

This is a fixed one-year hands‐on role suitable for a person who is interested in processes, operations, and optimization.
One of the main goals of the role is to ensure that one of the most critical and valuable assets businesses have, data, remains aligned with value throughout its lifecycle.
The temporary contract could be extended and has a high probability of becoming permanent upon demonstration of value.As the entire market matures in the industrialization of data, this role brings a fantastic career opportunity to work as part of our general GTM team to use SQC/SPC based methodologies and to align data with the business value it delivers.What you will be doing:Catalogue all data assets against their intended consumption and release cycles.Ensure that the metrics are optimized for defining, measuring, and auditing the value of the data lifecycle against their ROI and intended consumption by analysts, BI, and data science teams.Collaborate with DS/DA to understand and create processes and quality‐based measures across data delivery and data quality and provide inputs to data engineering, knowledge engineering,



and process engineering teams.Create an escalation‐based matrix and handle bugs as Level One escalations while performing household management of data assets.Bring maturity lifecycles into data lifecycle and consumption.Work on delivering these solutions hands‐on.What we are looking for:Bachelor's or Master's degree in Industrial Engineering.Typically 3–4 years of experience.Strong understanding of descriptive and inferential statistics and/or Six Sigma methodology.Knowledge of data engineering tools, languages, and frameworks to cleanse, mine, and explore data.Understanding of relational‐based systems and data architectures such as fact and dimension tables.Experience with complex, distributed, and massively parallel systems.Confidence in R or Python for statistical‐based reporting.Process‐mapping skills.Nice to have:Understanding of database technologies, management systems, and cloud‐based systems/services.Understanding of database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.Strong communication skills.Ability to effectively communicate design proposals and negotiate options.What makes us stand out:Best‐in‐class technologies.Diverse learning opportunities.Super collaborative environment and international experience.
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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1b1lpl

📌 Data Optimisation And Operations Engineer (Bogotá)
🏢 Hewlett-Packard
📍 Bogotá