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    Business Intelligence Developer - Seattle, United States - PMI WW Brands LLC

    PMI WW Brands LLC
    PMI WW Brands LLC Seattle, United States

    4 weeks ago

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    Description
    Business Intelligence Developer Seattle, WA About Us Stanley, a HAVI company, is defined by Creativity, Building and Invention. We are makers of the legendary bottle and box. Driven by purpose, passion and performance. Obsessed with making a difference. And keeping our promises. Proud of our yesterday. And focused on building the team of tomorrow. Position Overview We are looking for a talented Business Intelligence Developer to join Stanley's Enterprise Data Platform team. In this role, you will contribute to projects and initiatives across the business.

    You will ensure data is available and consumable a wide range of users, ranging from the ingestion of source data to creating data visualizations.

    If you want to be part of building a data platform to support a dynamic, growing, business we'd love to hear from you Key Responsibilities Design, develop, and maintain end-to-end business intelligence (BI) and analytics solutions using Microsoft Azure data migration, storage, compute, and data visualization technologies.

    Develop end-to-end solutions for performant ingestion, storage, processing, and integration of disparate sourced data. Use Python to manipulate and analyze complex datasets. Build data visualizations that effectively communicate insights to diverse audiences. Test, audit, maintain and tune existing solutions. Monitor daily data loads and resolve issues; update and extend system documentation.

    Who You Are Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

    Experienced user of Azure Data Storage and Analytics. Possess a good understanding of data architecture principles and practices. Knowledgeable about data warehouse design and data mining. Proficient in coding languages like SQL, Python, PySpark and/or R. Comfortable with a variety of data visualization tools and techniques.

    Education and Experience Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics or a related field; graduate degree in Data Engineering, Data Analytics, Data Science or other quantitative field is preferred.

    5+ years of data engineering and/or BI developer experience is required, preferably in a cloud environment.


    Microsoft Certified:
    Azure Data Engineer Associate.

    Experience with Azure Data Storage and Analytics tool stack (including Data Lake, Data Factory, Synapse Analytics and Microsoft Fabric) is required.

    Experience working with various data formats (structured, semi-structured, unstructured and API-exposing).

    Experience with defining connections to and extracting data from Enterprise Resource Planning (ERP) systems (including Oracle EBS, SAP, etc.) preferred.

    Experience with Synapse ML preferred. Understanding of manufacturing, supply chain, inventory management, eCommerce and sales operations data and systems preferred. Application Details Please include a cover letter detailing how your experience and interests align with this role at Stanley. Stanley is committed to a diverse and inclusive work environment.

    Stanley is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

    For individuals with disabilities who would like to request an accommodation, please contact . The base pay range for this position is for a successful candidate within the state listed.

    The successful candidate's actual pay will be based on multiple factors, such as work location, job-related knowledge, skills, qualifications, and experience.

    Stanley is a total rewards company, which includes rewards beyond base salary. At Stanley, full-time employees are eligible for an annual bonus, based on compa
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