This role is ideal for someone who combines strong technical analytics capabilities with business acumen and communication skills. The successful candidate will help establish scalable reporting processes and ensure leadership has timely, accurate, and actionable operational and financial insights.
Responsibilities
- Partner with Leadership, Strategic Finance, Operations, Marketing and Sales teams to identify and prioritize key business metrics and reporting needs.
- Develop and maintain dashboards, automated reporting tools, and data visualizations to support operational and financial decision-making.
- Extract, clean, structure, and analyze large datasets from ERP, operational, eCommerce, and other internal systems.
- Build scalable reporting processes and improve data accessibility across the organization.
- Translate business questions into analytical frameworks and actionable insights.
- Assist in the development and maintenance of KPI definitions, metric governance, and reporting consistency.
- Identify trends, anomalies, and business performance drivers through exploratory analysis and recurring reporting.
- Support forecasting, budgeting, and strategic planning initiatives through data analysis and visualization.
- Work closely with engineering and systems teams to improve data pipelines, reporting architecture, and system integrations.
- Help drive adoption of self-service analytics and data-driven decision-making throughout the organization.
- Support ad hoc analyses and executive-level reporting requests.
Qualifications
- Bachelor’s degree in Business Analytics, Finance, Information Systems, Computer Science, Economics, Statistics, or related field.
- 4–7 years of experience in business intelligence, analytics, strategic finance, FP&A, or related analytical roles, with a track record of building and maintaining dashboards and reporting infrastructure
- Advanced SQL skills and strong experience working with relational databases and large datasets.
- Proficiency in at least one BI/visualization platform (Power BI, Tableau, Looker, or similar) with demonstrated ability to build from a spec or design brief
- Strong Excel and financial modeling capabilities.
- Experience working cross-functionally with both technical and business stakeholders.
- Ability to communicate analytical findings clearly to non-technical audiences.
- Familiarity with ERP systems such as NetSuite, SAP, or similar platforms preferred.
- Experience pulling, cleaning, and structuring data from syndicated sources (Nielsen, SPINS) and retailer vendor portals.
- Experience with data transformation tools or scripting languages (Python, dbt, or similar) preferred.
- Experience in consumer products, eCommerce, manufacturing, or supply chain analytics preferred.
Other Requirements
- Strong analytical, problem-solving, and organizational skills.
- Intellectual curiosity and a proactive mindset toward identifying business improvement opportunities.
- Ability to manage multiple priorities in a fast-paced environment.
- High attention to detail and commitment to data accuracy.
- Strong interpersonal and communication skills.
- Ability to work independently while collaborating effectively across teams.
- High level of integrity, accountability, and professionalism.
Compensation
- Base: $110,000 - 120,000 (DOE)
- Bonus: Eligible for 10% annual performance bonus
Skills Required
- Bachelor's degree in Business Analytics, Finance, Information Systems, Computer Science, Economics, Statistics, or related field
- 4-7 years experience in business intelligence, analytics, strategic finance, FP&A, or related analytical roles
- Track record of building and maintaining dashboards and reporting infrastructure
- Advanced SQL skills
- Strong experience working with relational databases and large datasets
- Proficiency in at least one BI/visualization platform (Power BI, Tableau, Looker, or similar)
- Strong Excel and financial modeling capabilities
- Experience working cross-functionally with technical and business stakeholders
- Ability to communicate analytical findings clearly to non-technical audiences
- Familiarity with ERP systems such as NetSuite, SAP, or similar platforms
- Experience pulling, cleaning, and structuring data from syndicated sources (Nielsen, SPINS) and retailer vendor portals
- Experience with data transformation tools or scripting languages (Python, dbt, or similar)
- Experience in consumer products, eCommerce, manufacturing, or supply chain analytics
What We Do
Simply Protein for Pets (SPFP) develops high-protein, natural pet nutrition products and treats designed to support healthier, longer lives for pets. The company emphasizes clean, functional formulations, trusted sourcing, rigorous quality standards, and data-driven innovation. Its products are distributed through major retailers and aim to combine safety, taste, performance, science-backed nutrition, and sustainable, transparent business growth while serving pets and the people who care for them.








