Product Data Analyst

Vaga não está no LinkedIn

🕒 Abril 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $90.000 - $120.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

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NMI

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💳 Fintech

☁️ SaaS

Fintech • Payments • SaaS

A NMI é uma plataforma líder global em habilitação de pagamentos integrados, oferecendo um conjunto abrangente de soluções de pagamento projetadas para simplificar e aprimorar os processos de pagamento para empresas de todos os tamanhos. Sua plataforma fornece serviços como gerenciamento de relacionamento com comerciantes, gateways de pagamento, prevenção de fraudes e ferramentas para pagamentos de eCommerce, presenciais e móveis. A NMI atende a uma ampla gama de clientes, incluindo organizações de vendas independentes, desenvolvedores de software, bancos e facilitadores de pagamento, ajudando-os a reduzir o atrito no onboarding e aumentar a eficiência das transações. A empresa está comprometida em impulsionar a inovação e desbloquear novo potencial de crescimento por meio de soluções de pagamentos integrados, flexíveis e modulares.

Descrição

• Responsible for leading the collection, analysis, and interpretation of data to drive product strategy, adoption and execution for the payment gateway. • Create and own data roadmaps to increase product performance transparency for product stakeholders. • Manage data analytics dashboards to track KPIs and deliver clear, actionable insights to product managers. • Monitor data accuracy, and support proactive investigation. • Support ad-hoc reporting framework where product managers can gather and analyze relevant data including customer/CAM surveys, product usage statistics, and market research. • Conduct opportunity sizing analyses, develop forecasting models, and present data-driven insights to influence strategic decision-making. • Collaborate with Engineering and Data Insights to design, build and document an analytics framework for product experimentation, A/B testing and advanced modeling to support long-term product performance. • Analyze large transaction datasets to uncover trends & opportunities across channels and payment methods (card, ACH, P2P). • Help product managers define, track, review, and respond to relevant KPI metrics by establishing monthly, quarterly and yearly cadence of facilitated exploration and analysis. • Respond to performance inquiries from partners, support, engineering, support and product -communicate breakages and help drive resolution. • Monitor transaction data integrity throughout the lifecycle, investigating incidents and anomalies. • Work with product engineering to define how and what data points to collect from products. Partner across value streams to validate accuracy of financial data and drive. • Clearly communicate data-driven findings to stakeholders on a monthly, quarterly and yearly cadence. Establish and inspect quarterly OKR’s to measure efficacy of growth initiatives. • Contribute to data discipline across product by promoting an analytical approach, leveraging data-led experimentation for data-informed execution. • Identify inefficient operational processes and automate to reduce manual requirements. • Partner across teams to ensure financial reporting accuracy. Facilitate ledger and ACH reconciliation by identifying discrepancies, and optimizing settlement processes both internally and with partners. • Stay up-to-date on data science and contribute to the data analytics guild across NMI.

🎯 Requisitos

• Bachelor’s degree in a related field and/or 3+ years experience in a technical financial services role involving data analysis and interpretation. • Passion for data-driven decision making and drive to dig into our data, spot trends & anomalies. • Strong analytical skills with attention to detail for investigation and identification of issues within complex financial systems. • Track record of proactive issue-response and initiative progression including activation across value streams. • Strong written communication, verbal communication, and business acumen for effectively collaborating across technical and non-technical stakeholder groups. • Independent work ethic and ability to thrive in a fast-paced, agile product environment. • Experience documenting SOPs detailing data ingestion, processing, and reporting for constructed frameworks and ancillary tools. • Interest in data science and establishing data discipline across product teams. • Excellence in conceptual thinking and analytical problem solving. • Proficiency with data visualization tools (Tableau, PowerBI) and Excel/GoogleSheets. • Experience building data pipelines (ELT) ...via Fivetran, BigQuery and dbt or similar tooling.

🏖️ Benefícios

• Competitive compensation • Flex PTO Policy • Health, Dental and Vision Insurance • Life, ADD, Short-term and Long-term Disability insurance • 401k matching up to 4% after two months of service • Flexible Spending Account • 13 Paid Holidays • Bonusly colleague reward • Employee referral program • Paid Parental Leave