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Product Operations Data Analyst (Remote or Pittsburgh)

Seegrid is embracing a remote workforce, so this position can be remotely located anywhere in the US or at HQ in Pittsburgh, PA. 

Seegrid is the leading provider of mobile industrial automation solutions for materials handling with over three million production miles driven in some of the world’s biggest companies. We combine vision-guided industrial vehicles, fleet management, and enterprise intelligence data into a platform that empowers our customers to automate and optimize material flow. 

We put these autonomous vehicles to work today with an emphasis on safety, reliability, and flexibility. We are passionate about making our customers successful in deploying end-to-end automation solutions and foster a culture of collaboration, active and open communication, integrity, and respect. The challenges before us are great, but we are a high-performance team driven to change how the world does logistics.

Seegrid is looking for a curious, collaborative, and communicative Product Operations Data Analyst to drive data-driven insights for product decision making.

As the Product Operations Data Analyst at Seegrid you will be at the forefront of driving innovation in the material handling industry. You will be responsible for collection and analysis of product data, communication of insights to inform product strategy, preparing periodic, self-serve, and ad hoc information reports for multiple internal audiences, advocating for best practices in tools and instrumentation, collaborating with multiple functions in the organization, and driving new processes around data-driven decision making.

Highly analytical and nimble, this role will establish new processes for collection, analysis, and reporting of data to facilitate decision making, including both ongoing standard reporting and ad hoc needs. The successful candidate has an insatiable curiosity for problem-solving, both analytical and conceptual, to optimize strategy. Analysis areas include product usage, market penetration, lifetime value, commercial viability, and pricing models. This role will also manage and measure best practices, tools, tool usage, and product content metrics.

This role will also help the overall Product team by documenting and maintaining standard processes, templates, guidelines, and tools.

You must be able to join a dynamic and fast-paced environment, working with cross-functional teams to design, build, and roll-out products that deliver the company’s vision and strategy.  

Key Responsibilities:

  • Collect and analyze cross-functional data to reveal trend and identify strategic actions
  • Collaborate across functions in the organization to ensure the availability of data and value of analysis
  • Clearly communicate conclusions from analysis at different levels for different audiences
  • Advocate for best practices in tools and instrumentation
  • Prepare and distribute reports on a frequent basis to inform stakeholders and guide strategy
  • Define key metrics for product and product development activities, collect data on them, and report findings to management
  • Automate data analysis, visualization, and communication for efficient and consistent distribution
  • Correlate disparate data as needed
  • Maintain templates and processes related to product development activities and facilitate reporting of status to stakeholders

Requirements and Experience:

  • 5+ years of experience working in data analysis roles
  • BS degree in Computer Science, Engineering or equivalent preferred
  • Excellent problem solving and analytical skills
  • Excellent written and oral communication skills
  • Excellent data analysis and/or visualization skills
  • Highly collaborative across functions with a service-oriented mindset

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Seegrid is an equal opportunity employer Minorities/Females/People with Disabilities/Protected Veterans/Sexual Orientation/Gender Identity.

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