Senior Business Intelligence Developer

Stanley

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 Senior Data Engineer to join Stanley’s Enterprise Data Platform team. In this role, you will lead and participate in projects to build and sustain data collection and storage systems. You will also partner with a wide variety of users to ensure they have the data they need to drive our business forward.

If you want to build a data platform to support a dynamic, growing, organization we’d love to hear from you!

Key Responsibilities

• Design, build, install, test, and maintain highly scalable data management systems.
• Guide the creation of databases, data warehouses, and data models to store, process and integrate critical business data.
• Recommend and deploy data models and solutions for existing data systems; research opportunities for data acquisition and new uses for existing data.
• Build high-performance algorithms, prototypes, predictive models, and proofs of concept.
• Develop data set processes for data modeling, mining, and visualization.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create custom software components and analytics applications.
• Recommend ways to improve data reliability, efficiency, and quality.
• Ensure new systems meet data compliance and security needs.
• Mentor and coach other members of the data engineering team.

Who You Are

• Sophisticated understanding of data management and visualization practices
• Able to build, maintain, and improve upon data architecture, collection, and storage systems.
• Proficient in data warehousing, relational databases, and ETL/ELT technologies; experience in big data tools and databases.
• Knowledgeable of cloud computing technologies, preferably Azure Cloud Services.
• Fluency in Python, R, and/or SQL for data analytics.
• Solid understanding of database security and compliance tools; familiarity with machine learning technologies.
• Proven ability to use statistical analysis, predictive modeling, and explanatory modeling to identify trends.

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.
• 7 years of experience in data engineering, business analytics system development, or related roles.
• Microsoft Certified: Azure Data Engineer Associate.
• Proficiency in data warehousing, relational databases, and Extract-Transform-Load (ETL) technologies.
• Expertise in ELT technologies and processes.
• Experience in big data tools and databases.
• Experience in cloud computing technologies.
• Solid understanding of computer programming languages (Python, R, Scala).
• Understanding of database security and compliance tools, and familiarity with machine learning technologies.
• Experience working with various data formats (structured, semi-structured, unstructured and API-exposing) is required.
• 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.

Salary Range

$135,000 - $160,000 annually.

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 Recruiting@stanley1913.com.

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 company and individual results. In addition, we offer a variety of employee benefits, personalized time off, 14-Paid holidays, dental, vision, 401(k), and much more.

About HAVI

HAVI is a global, privately owned company that connects people with ideas, data with insights, supply with demand, restaurants with deliveries and ultimately, people with the products they love. Whether we are sourcing, storing, or delivering products, we bring unmatched category expertise and unrivaled operational excellence, combined with powerful digital analytics and insights. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. HAVI’s business units include Supply Chain, tms, and Stanley. Our portfolio of businesses offers best-in-class sourcing and supply chain capabilities, brand-defining marketing and promotion services and innovative consumer products. For more information, please visit HAVI.com, tmsw.com and stanley1913.com.

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