Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster

Fictiv, coined the “AWS of manufacturing,” is a leading technology company transforming the $350 billion manufacturing industry. Our cutting-edge cloud platform uses AI and machine learning algorithms to help companies build hardware at the speed of software. Come join our growing team!

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old-school tactics. Having a growth mindset is deeply ingrained into our company culture since day one so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of jobs out there. The question is whether any of them will help you grow in your career. Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you've already mastered? At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact in this Role

The Data Engineering & Analytics team develops a centralized data warehouse and produces reports and dashboards for Fictiv, that are to provide strategic insights that impact multiple functional areas including: Operations, Finance, Sales, Marketing, Engineering, Product, Architecture, and Customer Support. The Data & Analytics team partners closely with cross functional stakeholders to ensure that data is accurate, timely, secure and has properly managed change control.

This team sets the stage for ensuring Fictiv’s business is delivering on KPIs and goals. This team provides all the inputs for Fictiv’s strategic decision making.

This team works very closely with cross-functional stakeholders, and leverages multiple different Business Intelligence (BI) technologies to achieve these goals.

As a Data Engineer for the data team, you will support the Data Engineering Lead, Data Analysts and Product Owners in the everyday management of our data warehouse.  You will serve as a facilitator between the business and technology in understanding the technical requirements and ensure that solutions address the business problems.

Our company understands the importance of utilizing data to make informed decisions. We are looking for someone that gets excited about data and continues to drive a data driven culture.

What You’ll Be Doing

Desired traits

• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management
• Responsible for monitoring, alerting and on-call duties for all data warehouse operations
• Follow and contribute to SQL coding standards, change control practices, and data warehouse practices
• Collaborate with Software Engineering and Product Owners to ensure changes to event implementations are gracefully handled in the data warehouse
• Available to work with remote teams
• Research, Diagnose, and Monitor performance bottlenecks
• Document development that is to be moved to production
• Assemble and modify large complex datasets to meet business requirements
• Identifying, designing, and implementing internal process improvements for greater scalability, optimizing data delivery and automating manual processes
• Building BI reports to utilize datasets to provide actionable insights into key business performance metrics including operational efficiency 
• Create data tools for analytics and data team that assist in building and optimizing our product into an innovative industry leader.
• Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues.

Desired Traits, Qualifications, Education and Experience Equivalency

• Have proven experience working with large and complex datasets and are comfortable writing queries directly or utilizing BI tools. Experience with Snowflake, Sigma, and Heap is a bonus
• Extensive knowledge of BI concepts and database query languages (i.e. SQL or Python), dimensional modeling, data warehouse design, dash-boarding)
• Ability to build and optimize datasets and data pipelines
• Ability to perform root cause analysis on internal processes and data to identify opportunities for improvement and answer questions
• Excellent analytic skills associated with working with structured and unstructured datasets
• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
• You are a clear communicator. You can provide business context for engineers as well as highlight technical challenges for non-engineers
• Ability to present to groups of mixed technical ability
• Comfortable not knowing answers, but resourceful and able to resolve issues.
• Willing to learn and understand new ways of doing things

Preferred Experience/ Minimum Qualifications

• Graduate in Data Science, Data Analysis, or a related field.
• 3 years experience as a Data Engineer using BI tools.
• 2 years of providing complex analysis reports in any one of finance, sales, marketing, logistics, user adoption or similar fields.
• Experience with Snowflake, Redshift, Heap, Fivetran and SigmaComputing (or similar BI tools such as Tableau, Looker or Quicksight).
• Proven experience working with complex datasets and writing SQL queries with multiple levels of CTEs directly.
• Extensive knowledge of BI concepts (regressions, sliding window functions, financial metrics, marketing funnel metrics, logistics and fulfillment metrics)
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience with leading and coordinating cross-functional initiatives, conducting interviews and performing analyses to create business cases for projects.
• Experience performing live training sessions for internal and external stakeholders during system and process implementation.
• Experience using Salesforce, Marketo, Netsuite or similar core business systems.
• Must have strong communication skills and possess the ability to interact effectively with co-workers.
• Must have strong leadership skills.

About Fictiv

Our Digital Manufacturing Ecosystem is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed and delivered to customers around the world.

This transformation is made possible through our technology-backed platform, our global network of manufacturing partners, and our people with deep expertise in hardware and software development.

We’re actively seeking potential teammates who can bring diverse perspectives and experience to our culture and company. We believe inclusion is the best way to create a strong, empathetic team. Our belief is that the best team is born from an environment that emphasizes respect, honesty, collaboration, and growth.

We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.