at Molex Inc in Lisle, Illinois, United States
Job Description
Your Job
Molex is seeking anAnalytics Solution Engineerto join our team. This role works closely with cross-functional groups in ourdata and analyticsorganization including Research & Analytics and Enterprise Data Management.This role will collaborate with our development teams comprising of analysts, data engineers and data scientists.
A Successful Candidate will have the following attributes:
Ability to translate business requirements into a detailed architecture design and deliver the requirements while ensuring high quality solutions that meet current and anticipated business needs. Responsibilities include partnering with data and analytics technical teams both internal and external, utilize effective issue management and provide proactive communication.
Understanding of modern data strategy and analytics landscape (including data architecture, analytics technology, process, governance, and change management) and discuss strengths and weaknesses of various technical approaches and tools
Ability to describe tools, technologies, applications, and practices used to collect, integrate, analyze, and present an organization's raw data to create insightful and actionable business information
Strong analytical skills, structured conceptual thinking, and statistical acumen in optimization, linear programming, network planning, time series and regression algorithms. Familiarity with AI algorithms is preferred. Use of innovative approaches to use data effectively to augment business growth and implement strategy.
Cross functional business acumen including areas such asFinance, Sales, Supply Chain and Manufacturing.
Demonstrated knowledge of taking initiative to learn about emerging technologies in the field of analytics and data science, best practices.
Excellent interpersonal skills to work effectively with global groups and to build relationships in a fast-paced environment.
Excellent written, verbal and listening skills for clear and concise communication, documentation, and project management. Keenattention to detail.
Strong organizational skills and the ability to manage multiple competing priorities
What You Will Do:
Lead development activities from a position of technical expertise. Provide guidance and technology thought leadership for quality execution and timelydelivery of ad hoc analysis, self-service analytics, and advanced analytics solutions, like predictive and prescriptive analytics.
Manage the support lifecycle of insightful analysisproducts and digital solutions to meet prioritizedbusiness needs.
Review solution architecture implemented in projects and ensure designed architecture meets industry standards and quality gates.
Building statistical models to utilize the data pipeline by analyzing current and historical results of business activity and transactional data to identify actionable opportunities, develop ideas, and make recommendations to improve business performance.
Be accountable for and execute projects by working with our extended globaldelivery team and liaising with other cross-functional / capability teams. Coach less experienced team members on business knowledge & technical knowledge sharing as well as process improvement.
Work with data and analytics groups across divisions and functions to streamline and bring efficiencies via division of labor by comparative advantage.
Be comfortable to work in a fast-paced, demanding business environment.
Participate and facilitate technology transformation for next level analytics and identify intelligentopportunities to unlock the value of data through generating insights that effectively guide the business.
Who You Are (Basic Qualifications)
A Bachelors degree in Analytics, Data Engineering Sciences, or a related experience in analytics and data technologies with increasing responsibilities.
Advanced technical skills in one or more of the following areas involvingData processing and analysis: SQL querying;R and/or Python; VBA.
Advanced technical skills in Data warehousing, modeling, ETL, security and performance tuning. Streamlining data prep processes to ensure timely and reliable data.
AdvancedMicrosoft Excel (ex: v-lookups, formulas, pivot tables, create reports)and PowerPoint skills
Experience with SAP, Snowflake and AWS technologies
Experience with data visualization tools like Tableau and PowerBI, including server and technical administration activities
Experienced or demonstrated knowledge with Machine Learning / Artificial Intelligence applications including statistical and machine learning concepts. (e.g., hypothesis testing, correlation analysis, regression analysis, time series forecasting, and predictive modeling)
This role is not eligible for visa sponsorship
What Will Put You Ahead
Master's Degree in a related field of study
Familiarity with core business functions, underlying processes and KPIs.
Experience of working within a Global... For full info follow application link.
