Analytics Engineer

Your Job

We are seeking a world-class, self-directed Analytics Engineer to transform complex engineering and manufacturing data into trusted, decision-ready analytics. You will design scalable data models, develop reliable transformation pipelines, and create intuitive dashboards and analytical solutions that support product development, manufacturing, testing, quality, and operational improvement. Working with global engineering and manufacturing teams, you will combine strong SQL, Python, data modeling, and visualization skills with an entrepreneurial mindset to solve business challenges and enable data-driven decisions.

Our Team

Molexu2019s Copper Solutions Business Unit (CSBU) is a global team delivering exceptional products to telecommunications and data center customers worldwide. Within CSBU, the Software Solution Group (SSG) connects product, engineering, manufacturing, and operations through advanced traceability, production manufacturing applications, database platforms, system integration, manufacturing support, and analytics for high-speed electrical interconnects.

Our team creates and sustains software capabilities that accelerate product readiness, improve manufacturing execution, protect data integrity, drive product quality, and support dependable production at scale. We value creative thinking, disciplined execution, problem-solving, collaboration, and continuous improvement.

What You Will Do

• u2022 Design, build, and maintain reliable analytics datasets, semantic models, and data products for engineering, manufacturing, testing, quality, and business use cases.
• u2022 Develop and optimize SQL- and Python-based data transformations that convert raw data into consistent, documented, and reusable analytical models.
• u2022 Proven ability to improve data quality, model performance, reporting adoption, and decision-making through cross-functional collaboration.
• u2022 Partner with business stakeholders, engineers, analysts, and data engineers to translate requirements into scalable analytics solutions and clear success criteria document business logic, data lineage, model assumptions, and solution design and share knowledge with global teams.
• u2022 Build and enhance dashboards, reports, and self-service analytics that communicate trends, performance, risks, and opportunities effectively.
• u2022 Create and maintain dimensional data models, metrics definitions, and data dictionaries to establish trusted and consistent reporting.
• u2022 Implement data quality checks, validation rules, monitoring, and reconciliation processes to improve the accuracy, completeness, and reliability of analytics data.
• u2022 Investigate data anomalies, perform root-cause analysis, and work with source-system owners to resolve data issues.
• u2022 Improve the performance, maintainability, and usability of analytical queries, pipelines, dashboards, and datasets.
• u2022 Use version control, code reviews, testing, and release practices to deliver governed and supportable analytics solutions.
• u2022 Protect sensitive data and follow applicable data security, access control, and governance practices.
• u2022 Continuously evaluate relevant technologies and analytical methods and contribute ideas for new capabilities and process improvements.

Who You Are (Basic Qualifications)

• u2022 Bachelor's or master's degree in computer science, Data Science, Engineering, Information Systems, Statistics, or related technical field.
• u2022 2-4 years of total experience, including at least 2 years of analytics engineering, business intelligence, data engineering, or a closely related role.
• u2022 Working knowledge of ETL/ELT patterns and data pipeline fundamentals.
• u2022 Strong SQL skills, including complex queries, joins, aggregations, window functions, query optimization, and the development of reusable data models.
• u2022 Practical experience using Python for data preparation, analysis, automation, and validation, with libraries such as Pandas and NumPy.
• u2022 Experience with source control tools such as Git and work-management or bug-tracking tools such as JIRA.
• u2022 Ability to define and validate business metrics, analyze trends, test assumptions, and communicate findings clearly.
• u2022 Strong analytical, problem-solving, documentation, and stakeholder collaboration skills, including the ability to explain complex technical concepts to xa0teams.

What Will Put You Ahead

• u2022 Experience applying analytics in engineering, manufacturing, testing, or product-quality environments.
• u2022 Experience designing dimensional models and developing curated datasets, semantic layers, or data marts for reliable reporting and analytics.
• u2022 Experience with modern analytics engineering practices and tools, including dbt, automated testing, data contracts, orchestration, and CI/CD.
• u2022 Knowledge of statistical analysis, predictive analytics, anomaly detection, or machine-learning methods for generating actionable insights.