Data Analyst

Impact In This Role

The Data Engineering & Analytics team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works very closely with cross-functional stakeholders, and leverages multiple different Business Intelligence (BI) technologies to achieve these goals. As a Data Analyst, you will support a wide range of cross functional stakeholders in the everyday understanding of 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 and is responsible for leading 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. 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.
• Create reports and dashboards from the data warehouse that deliver value to business stakeholders while
  meeting critical project deadlines.
• Partner with GMs 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.
• Will use a combination of business analyst and technical skills to deliver reports and analysis for multiple
  projects accurately and timely.
• Write documentation for stakeholders on any of the reports or dashboards you create.
• Enjoy working with remote teams and people that have strong opinions

Desired Traits

• B.S. in Data Science, Data Analysis, or a related field.
• 2-5 years experience as a Data Analyst generating enterprise reports using Tableau.
• 1+ years of providing complex analysis reports in any one of manufacturing, operations, sourcing, logistics,
  user adoption or similar fields is a bonus.
• Experience with Snowflake is a bonus.
• 1+ years experience as a data scientist working in areas such as machine learning, regression, lifetime
  value is a bonus.
• Proven experience working with complex datasets and writing SQL queries with multiple levels of CTEs
  directly.
• 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.
• Ability 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 possess the ability to interact effectively with co-workers

Interested in learning more?  We look forward to hearing from you soon.