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    Supply Chain Data Analyst - Ann Arbor, United States - KLA

    KLA
    KLA Ann Arbor, United States

    2 weeks ago

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    Description

    Base Pay Range: $83, $142,500.00 Annually

    Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

    Company Overview

    KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

    Job Description/Preferred Qualifications

    Responsibilities:

    • Develop executive ready PowerPoint presentations
    • Gather business requirements, resolve data and reporting insights and findings to deliver dataset (from Snowflake, SAP, Enovia) to executives and multi-functional teams.
    • Liaise between various business departments and groups
    • Assess options for process improvement, including business process modeling
    • Maintain documentation regarding various projects, processes and operations
    • Collaborate with project managers and multi-functional teams
    • Communicate findings to a wide range of team members
    • Help drive a change in usage of data through active surfacing of insights to customers
    • Develop multiple sophisticated SQL queries and views (pulling from complex, multiple data sources, synthesizing and formatting to prepare for distribution to collaborators)
    • Design data analysis to achieve business objectives, process data, analyze data, write clear and concise data findings and tailor communications to specific audiences.
    • Focuses on processing and preparing data to uncover patterns using tools such as Snowflake, Tableau, and Python for data manipulation and analysis
    • Assists Data Warehouse Operations in data mapping activities by specifying logic and business rules for redefining and preparing data.
    • Supports the development, automation and publication of reports and dashboards.
    • Assists with Data Quality (DQ) and Master Data Management (MDM) initiatives.
    • Assists in developing governance processes around data management and the warehouse development.

    Preferred Qualifications:

    • Master's Degree and two years' or more experience in a related field
    • Experience with Enovia

    Minimum Qualifications

    • Bachelor's Degree and 5 years' experience or Master's Degree of 3 years' experience in Data Science, Computer Science, Engineering, or related fields
    • 3+ years experience in assembling, querying large, sophisticated sets of data that meet business requirements.
    • 2+ year business or supply chain related experience
    • Deep Experience in scripting languages such as SQL, and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid analysis and dissemination of key data.
    • Have strong analytics and data analysis skills and be able to communicate sophisticated data in an easy-to-understand manner.
    • Data analytics & management. Solid grasp in the areas of data structure, data mining & data maintenance.
    • Experience of the SAP and Snowflake
    • Review multiple structured/unstructured data sources, compile and build structure data sets to run SQL queries and visualize on actionable insights
    • Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption
    • Work with internal and external customers to assist with data-related technical issues and support data

    The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

    KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at or at to request accommodation.

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