Note: The job is a remote job and is open to candidates in USA. Mondo is seeking a Lead Decision Science Analyst to support hardware revenue analytics and strategic business decision-making. The role independently owns complex analytical projects end to end, develops rigorous analytical frameworks, and translates findings into actionable recommendations for product, marketing, and commercial stakeholders.
Responsibilities
- Own analytics projects end to end, from scoping the business question through analysis to final recommendation, with minimal direction and strong independent judgment
- Support hardware revenue analytics including total market opportunity sizing, cross-sell identification, sales tactic effectiveness, forecasting, and annual operating planning
- Translate technical findings into clear, compelling recommendations for senior business stakeholders through verbal communication, written insights, and data visualizations; anticipate follow-up questions and proactively address them before delivery
Skills
- 5 years of relevant analytics experience in product, marketing, growth, or business analytics, with demonstrated end-to-end project ownership at the individual contributor level
- Expert-level SQL skills with a proven ability to independently access, extract, and manipulate complex datasets without reliance on a data engineering team
- Familiarity with sales operations, finance-adjacent analytics, or commercial revenue analytics including forecasting and operating planning
- Demonstrated ability to take an ambiguous or vague business question and independently define an analytical approach, scope the analysis, and deliver a recommendation
- 2 or more years of dashboard-building experience using Power BI, Tableau, or comparable tools
- Proficiency in Python; candidates with an R background are also considered
- Strong business acumen and communication skills, with the ability to translate complex analytical findings into language that non-technical stakeholders can act on
- Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a related field with significant analytical coursework
- Visa Sponsorship: Not eligible for visa sponsorship
- 2 or more years of experimentation and causal inference experience in a product or marketing context
- Experience with Azure, or other cloud data environments such as AWS
- Background in SaaS, digital products, or technology environments where similar customer acquisition, engagement, adoption, and retention funnels are present
- Experience in Big 4 or consulting environments, valued for strong communication skills and exposure to varied business problems across industries
- MBA or Master's degree in a related analytical field
Benefits
- Eligible for Health, Dental, Vision, and 401K
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