Engagement Manager - Analytics; Manufacturing Industry

Role:
Project Manager / Engagement Manager, Analytics

Location:
Austin, TX, USA

Type:
Hybrid

• Develop and execute the analytics strategy aligning with the organization's overall goals and objectives
• Manage a team of Product Analysts and Data & BI Engineers as a coach on their analytical work and career growth, helping them reach and realize their full potential
• Engage with business stakeholders, understand business requirements & suggest best‑of‑the‑breed data solutions
• Translate business requirements from the stakeholders into equivalent analytics tasks
• As a cross‑functional influencer, utilize your expertise in data storytelling and actionable insights to drive decision‑making and foster a data‑driven culture within Product, Product Marketing, Engineering, and Design
• Oversee the building of data‑driven solutions through all phases of development lifecycle, from research, ideation and design through build, test, and implementation
• Define and track key performance indicators (KPIs) for product initiatives, and communicate findings to both operational and senior leadership stakeholders
• Develop new analytical frameworks, data science techniques and predictive analytics to dive deeper into product performance & customer journeys

• Bachelor's degree in engineering:
  Data Science, Computer Science, Statistics, Business Analytics, or related field;
  Master’s degree preferred but not required
• 6+ years' professional experience working in analytics space, preferably with an OEM or Manufacturing client or adjacent consumer industries like Retail/Energy
• 3+ years of people leadership or informal mentorship of analytical teams
• Strong analytics focus on product, growth, project management
• Extensive knowledge of the manufacturing space including different sub‑domains will be preferred
• Sound knowledge of applied statistics, experimental design, data science techniques
• Good SQL knowledge and experience, authoring queries working with a variety of data platforms, and business intelligence systems / visualization tools (e.g., Power
  
  BI/ Tableau)
• Experience with cloud‑based technologies like Azure and Databricks
• Excellent communication skills, including the ability to clearly and effectively communicate and present analysis findings to stakeholders at all levels. Must be adept at translating analysis into cohesive, concise insights
• Close attention to detail and a commitment to accuracy
• Strong organizational skills and the ability to effectively prioritize