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Position: Senior Associate, Business Analytics Job Type: Full-Time - 100% remote Working hours: US Timezone (ET) About Our Client Our client is on a mission to reimagine pet food—one bowl at a time.
Launched in 2023 as part of a global parent company, they bring together the agility of a startup with the backing and resources of an established organization.
With vet-developed recipes and wholesome, trusted ingredients, they aim to ensure every pet gets a seat at the table.
Rapidly scaling and positioned to disrupt the pet food industry, the company is focused on enhancing the well-being of pets across the U.
S. Every new team member plays a vital role in shaping the success and culture of this growing venture.
Your Role As an Operations & Analytics Specialist, you will take ownership of critical tools and processes that support supply chain operations, forecasting, and performance analytics.
You will... Manage and execute key operational processes, including: Box and product-level forecasting Box pick logic (from orders to fulfillment) Logistics analytics Customer care analytics Serve as the subject-matter expert on your assigned tools, data flows, and processes Work cross-functionally to optimize and streamline data pipelines Continuously improve tools, analysis, and reporting to support business growth and smarter operations Who You Are Mindset & Traits Analytical – Comfortable translating data into actionable insights Self-Starter – Quick to assess new challenges and execute plans Bold & Strategic – Confident decision-maker who thrives in ambiguity Entrepreneurial – Always questioning the status quo and proposing innovative solutions Team-Oriented – Strong collaboration skills across functions Customer-Focused – Passionate about delivering exceptional experiences Agile & Creative – Flexible, resourceful, and open to unconventional solutions Results-Driven – Able to prioritize and push multiple projects to completion Strong Communicator – Clear, concise, and effective in technical and business discussions Your Experience & Skills Required: 3–5 years in an analytical or operational role Strong quantitative and problem-solving skills Proven experience owning tools/processes that drive business outcomes Advanced Excel/Google Sheets proficiency (automation preferred) SQL experience (professional or academic), with ability to write/refine queries Data visualization skills using tools like Tableau Basic to intermediate experience in Python, R, or similar languages Experience creating reports/dashboards for technical and non-technical stakeholders Strong verbal and written communication skills Ability to manage and structure complex, unstructured problems
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