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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist data role in metro location increases candidate competition.
Data science skills transfer across industries, but pricing and payments domain knowledge increases fit sensitivity.
Explicit 5+ years requirement plus mandatory Python, SQL, and BI skills make filters moderately strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement data-driven frameworks to optimize pricing strategies, enhance pre-sales propositions, and ensure customer success across global and regional teams.
Lead development of advanced analytics tools (e.g., ROI calculators, value dashboards) using Python, SQL, and BI tools to measure and optimize business performance.
Manage strategic project roadmaps and stakeholder communications while fostering team enablement, mentorship, and analytics training initiatives.
Minimum Requirements
5+ years of experience in analytics, data science, pricing strategy, or related fields; payments industry experience is a strong plus.
Proficiency with Python, SQL, and BI visualization tools such as Tableau or Power BI.
Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field.
Work Experience Required: 5+ years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Demonstrated ability to develop and scale data-driven tools and frameworks with measurable business outcomes, preferably in payments or financial services.
Experienced in translating complex business problems into actionable analytical solutions and communicating insights to diverse stakeholders.
Strong technical leadership with hands-on expertise in analytics, data visualization, and building scalable solutions that optimize pricing and customer success.