Senior Manufacturing Data Analyst

**Arcstone Overview**:
Since its inception, Arcstone has successfully delivered solutions to over 160 innovative manufacturing companies globally. We are committed to finding and developing the best talents that will propel Arcstone forward. We welcome enterprise software development experts, manufacturing engineering talents, exceptional business developers, and other various roles who are ideally from the manufacturing sector. If you are ready to join a fast-paced, rapidly-growing company in a field poised for disruption, we want you

In order to provide the best possible solutions to our clients, Arcstone requires exceptional talent ever ready to assume key roles in meeting our client’s varied manufacturing needs. We are looking for talented problems solvers who can not only bring creative and practical solutions, but who are also always passionate to learn on the job.

As a Senior Manufacturing Data Analyst, you will be directly responsible for implementing complex models, optimisations and data queries for our product and client facing teams as well as providing guidance on best practices. You will also be working closely with the deployment analyst team to derive powerful insights from the comprehensive data sets generated by Arctsone’s tools.

**What you’ll be doing**:

- Work directly with customers to understand complex calculations and models that need to be developed to best utilize their incoming data and data collected by Arcstone’s toolsets
- Leverage Arcstone’s digital suite of tools to collect necessary information from manufacturing processes and create meaningful and impactful business value reports/dashboards/alerts and alarms for intelligent changes
- Be the go-to database expert to guide the team on the most optimal way to process, store, query and manage massive amounts of equipment, sensor and machine data
- Use a number of toolsets from traditional SQL to blockchain solutions to generate powerful insights for our manufacturing customers based on properly structured and clean real-time data
- Collect and evaluate data and feedback from customers to continually improve Arcstone’s toolsets

**Requirements**:
**Must-have skills**:

- 5+ years of experience in data analytics and database optimization
- Able to learn how to use new software quickly
- SQL (working with queries, views, stored procedures, triggers and different SQL functions)
- SQL Optimization (indexing, complex joins and query optimization, automation with archiving and categorizing when massive amounts of data is collected/utilized)
- Excellent understanding of T-SQL programming
- Sense of ownership and pride in your performance and its impact on company’s success
- Excellent understanding of Microsoft SQL Server
- Development of high-quality database solutions
- Proven track-record of critical thinking and problem-solving ability
- Learning & understanding complex manufacturing processes to bring data and order to the system and provide value to the data collected for manufacturers

**Good-to-have skills**:

- Familiarity with data visualization and reporting tools (eg power Bi) is a plus
- Experience with advanced analytical toolsets, such as SPC, Statistical analysis, Machine Learning, etc.
- Good communication skills
- Comfort with ambiguity, uncertainty, and a dynamic business landscape; flexible with no 9 to 5 mentality
- Self-motivated and driven to excel and deliver, able to handle stress with a positive attitude
- Team player with a no ego and collaborative attitude
- Strong fluency in English (spoken and written)
- Willingness to travel (when needed and allowed under safety measures)

**The Right Fit**:
We at Arcstone are extremely passionate about the product, the service we provide for our customers, and the transformation we are making in the manufacturing industry. We are looking for people who can bring that same level of passion and zeal for our mission.

Our core belief is to hire the right person for the company, and that means looking for someone with truly amazing potential and can grow along with the rest of the company.

We look forward to hearing from you

Schedule:

- Monday to Friday

**Experience**:

- data analytics and database optimization: 5 years (preferred)