AI Data Analyst – Merchant Acquisition

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $70k - $80k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Paynada

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201 - 500 employees

💼 Consulting

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Paynada is a payment processing company that provides businesses with a solution to eliminate or significantly reduce credit card processing fees. By offering a dual pricing model that incentivizes cash payments and a fully transparent fee structure, Paynada helps merchants retain more of their earnings. The company focuses on streamlining the payment process and improving profitability for small to medium-sized businesses across various sectors, including retail, hospitality, and e-commerce.

📋 Description

• Develop the overall research, data and AI strategy for a proprietary merchant lead-intelligence platform • Analyze recorded sales conversations using transcription, natural-language processing, large language models and human-reviewed qualitative research • Create a structured framework for extracting merchant characteristics, processing concerns, switching triggers, objections, urgency, decision-maker engagement and sales outcomes • Interview sales representatives and company leadership to capture domain knowledge • Design labeling and quality-control procedures for call transcripts and sales outcomes • Identify signals that predict sales progression, including statement submissions, follow-up meetings, proposals and signed merchant accounts • Develop rules-based, statistical and machine-learning lead-scoring models • Identify and evaluate external data sources and connect them to internal conversation insights • Design controlled sales experiments comparing AI-selected leads with existing lead-selection processes • Establish performance metrics including conversion lift, precision, customer-acquisition cost and expected merchant profitability • Integrate lead recommendations into existing sales workflows • Build or manage an initial prototype and subsequent production platform • Develop documentation, data-governance practices and safeguards for sensitive information • Help evaluate and recruit additional data, engineering or research talent • Communicate findings and recommendations to business leadership and nontechnical sales personnel • Audit sales-call recordings, CRM information and business outcomes • Develop a taxonomy for merchant needs, dissatisfaction, switching triggers, objections and sales progression • Deliver an initial rules-based lead-scoring system, external-data recommendations, a prospective experiment, working prototype and production-platform roadmap

🎯 Requirements

• Advanced training or equivalent professional experience in data science, applied statistics, machine learning, computer science, econometrics, quantitative marketing or a closely related field • Demonstrated experience with predictive modeling, propensity modeling, lead scoring, customer analytics or another classification/ranking problem • Strong Python and SQL capabilities • Experience working with unstructured text, call transcripts, conversation analytics or natural-language processing • Familiarity with large language models and their use in structured information extraction, classification and research workflows • Ability to work effectively with limited historical data and develop a disciplined data-collection and validation plan • Understanding of experimental design, prospective validation, model evaluation, data leakage, overfitting and selection bias • Ability to combine qualitative business research with quantitative analysis • Strong product judgment and interest in building a commercial platform • Ability to work independently, define priorities and communicate directly with company leadership • High standards for confidentiality, security and responsible handling of recorded conversations and merchant information • Preferred: experience in merchant acquiring, credit-card processing, payments, fintech, banking or financial services • Preferred: experience analyzing B2B sales calls or developing sales-intelligence, revenue-operations or customer-acquisition systems • Preferred: familiarity with merchant categories, processing statements, pricing structures, interchange, chargebacks, point-of-sale systems and reasons merchants change processors • Preferred: experience with speech-to-text systems, embeddings, retrieval systems and LLM evaluation • Preferred: experience combining internal company data with licensed or publicly available external business data • Preferred: experience taking a data product from initial research through deployment and ongoing monitoring • Preferred: previous startup, founding-team or entrepreneurial experience • Preferred: experience managing technical contributors or outside development resources

🏖️ Benefits

• Meaningful equity participation in the resulting platform • Full benefits package • Remote work • Substantial autonomy • Opportunity to develop the project into a broader commercial platform

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