Data Analyst, Manufacturing Business Process

ARC'TERYX•New Westminster, BC

40d•$71,000 - $89,000•Onsite

About The Position

ARCâOne, our manufacturing facility in New Westminster, is home to a team of skilled makers and technicians who bring Arcâteryx products to life. Located near our Design Center, the facility plays an important role in how we prototype, test, refine and manufacture the technical gear we are known for. Some of our most technically complex products, including Alpha SV and new product pilots are built here. The facility also supports ReBIRD repair and renewal programs, helping extend the life of Arcâteryx gear. This is hands-on, precision work where craftsmanship, problem-solving and continuous improvement come together on the production floor. This is Who We Are. The Data Analyst, Manufacturing Business Processing works with cross-functional teams to analyze data, develop visuals for performance metrics, and provide valuable insights to enhance overall manufacturing performance. You will contribute to the achievement of KPI goals, enable teams to identify areas for improvement, and support data-driven decision-making across various departments. This role is based out of ArcâOne, our manufacturing facility located at New Westminster and is working on-site for day-to-day fast-paced operational support. The Manufacturing Business Process team is a dynamic team specializing in solving various kinds of business problems by logical reasoning and utilizing knowledge of business acumen and processes. The Analyst partners with internal and external teams to understand the business problem on hand, prioritize business requirements, and find appropriate solutions leveraging databases and dashboards to provide clear data visibility.

Requirements

You have a university degree in Math, Economic, Statistics, Finance, Business or equivalent.
You have 3-5 years of experience as a Digital Analyst or similar role, preferably within Supply Chain or Manufacturing.
You have strong analytical skills with a proven track record of collecting, analyzing, and interpreting complex data sets.
You have an understanding of and sensitivity towards data integrity and cleanliness.
You have strong expertise in SAP, MES, WMS, or equivalent ERP systems
You have high proficiency in data analysis, reporting, and visualization tools such as Excel, Smartsheet, Tableau, or Power BI.
You have extreme attention to detail and an ability to dig into large amounts of data to find the inconsistencies and risks.
You have strong communication and business presentation skills, and the ability to effectively communicate with all levels of collaborators.
You are proactive in identifying the root cause of issues within PowerBI and developing solutions.
You remain highly flexible and adaptable when faced with ambiguity.
You are able to balance autonomy and collaboration.
You are willing to share your knowledge and train other team members.
You inspire breakthrough thinking and continuous improvement.
You seek the best (but sometimes not the easiest) solutions, with an unwavering commitment.
Your passion for your work is paralleled by your passion for getting outside and living it.

Nice To Haves

Familiarity with manufacturing operations, including workorder planning & management, WIP and productivity tracking, and inventory management are highly desirable.

Responsibilities

Extracting and analyzing data from various platforms, such as SAP, TAS, Inspectorio, Salesforce, Workday, ADP Workforce Now, and other data collection platforms.
Working closely with cross-functional teams to ensure high data accuracy and integrity across all data sources.
Maintaining dashboard including troubleshooting and debugging when errors occur, refreshing and publishing data.
Monitoring and analyzing manufacturing data performance to KPIs and identifying opportunities for improvement and highlighting risks in on-time delivery and production efficiency.
Gathering business questions and translating them into data requirements and specifications.
Preparing regular reports and dashboards summarizing key findings, insights, and recommendations for enabling collaborators and management to make informed decisions.
Conducting ad-hoc analysis for cross-functional partners as required with reasonable turnaround time meeting Minimum Viable Product (MVP) capabilities.
Documenting KPI definitions and its calculation logic, both existing and future KPIs for development planning.
Enabling Opportunity for Improvements (OFIs) for cross-functional partners and developing metrics to measure improvements and cost savings where applicable.
Supporting training internal partners in their use of digital analytics to answer their business questions and develop standardized analytics processes.