Senior Data Analyst - Swing Shift at Fictiv

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Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, NetSuite, SuiteAnalytics, Business Intelligence, Tableau, Power BI, Data Warehouse, Reporting, Dashboarding, Manufacturing, Supply Chain, Data Modeling, Cross-Functional Collaboration, Mentoring, Training

Industry

Manufacturing

Description

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 1 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 creates reports and dashboards to provide meaningful insights from the data warehouse. This team works closely with cross-functional stakeholders and leverages multiple Business Intelligence (BI) technologies to achieve these goals. As a Senior Data Analyst, you will support various cross-functional stakeholders in understanding our data warehouse and reporting environment. You will serve as a driver between the business and technology in understanding the business problems that need to be solved. You will collect requirements, ensure consistency and adherence to company-wide definitions, and translate the functional requirements into technical details upon which data reports can be built. You will also ensure that the data reports comply with enterprise reporting standards. This is a ‘hands-on’ role that will lead the collaboration with cross-functional peers to build dashboards and reports to monitor progress, answer business questions, and ensure key management reports are available and accurate. In addition, you must have proven expertise with NetSuite, including creating and managing reports, saved searches, and SuiteAnalytics workbooks and datasets, with an emphasis on supply chain to deliver actionable insights. You will partner with the Data Analytics Manager to support and scale our analytics. SQL should be your tool of choice when it comes to pulling datasets, and you can paint a great visual picture of our complex data. You will collaborate with peer Engineering technical leads in many different disciplines, Product Owners and Business Analysts to drive workflows and with stakeholders to understand and measure company goals. You will mentor and shepherd best practices amongst the extended cross-functional teams to ensure appropriate hygiene of Fictiv’s reporting environments and to allow users to be self-sufficient. What You’ll Be Doing Lead the Business Requirement gathering, planning, and delivery of multiple operational projects. Subject Matter Expert on all data models, reports, dashboards, and reporting techniques relating to supply chain. Create reports and dashboards from the data warehouse that deliver value to business stakeholders while meeting critical project deadlines. Manage reports, create datasets, and workbooks in NetSuite and SuiteAnalytics. Use NetSuite and SuiteAnalytics database tables to build dashboards and reports in other BI tools, such as Tableau, Power BI, or Sigma. Partner with general managers or manufacturing operational leads and management to support manufacturing planning and execution across the global manufacturing organization. Standardize and implement reporting best practices with the rest of the Analytics Team to ensure adherence to enterprise reporting guidelines. Participate in brainstorming and discussion sessions to help development teams better understand and utilize data technologies and answer product-focused questions via data analysis and storytelling. Assist product managers in ensuring data model additions are accounted for by data team development plans and appropriate reports are updated. Assist with broad direction and vision, influence engineering and business strategy, and establish practices to efficiently and effectively address customer needs. Collaborate with Engineering to ensure production database changes to event implementations are gracefully handled in the data warehouse. Collaborate with the Data team, providing design guidance, best practices guidance, mentoring, and training where needed, to produce a data warehouse with reliable, stable, accurate data. You will use a combination of business analysis and technical skills to accurately and timely deliver reports and analyses for multiple projects. Write documentation for stakeholders on any of the reports or dashboards you create. Enjoy working with remote teams and people who have strong opinions. Desired Traits B.S. in Data Science, Data Analysis, or a related field. 10+ years of experience as a data analyst generating enterprise reports using proper BI tools such as Tableau, Power BI, or Sigma Computing. 3+ years of providing complex analysis reports in manufacturing, operations, sourcing, or logistics. 2+ years of experience working with NetSuite and SuiteAnalytics data directly in NetSuite and indirectly in a BI tool. Experience with finance reporting and dashboarding is a plus. Proven experience working with complex datasets and writing SQL queries directly with multiple levels of CTEs. Experience with Snowflake is a bonus. Working knowledge of BI concepts (regressions, sliding window functions, operational metrics, end to end process metrics, logistics and fulfillment metrics). 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 Odoo or other ERP systems, Shipping Carrier, TMS or similar core business systems. Ability to manage multiple projects and deadlines. Ability to work independently and in a team environment, and to excel in a fast-paced environment.Must be able to speak and write English at a professional level. Must have strong communication skills and can interact effectively with co-workers. Interested in learning more? We look forward to hearing from you soon. 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.

Responsibilities

As a Senior Data Analyst, you will support cross-functional stakeholders in understanding the data warehouse and reporting environment. You will lead the collaboration to build dashboards and reports that monitor progress and answer business questions.