Data Analyst responsible for extracting, cleaning, and analyzing large datasets to provide actionable insights for product, engineering, business, and finance teams within a fintech environment.
Responsibilities
Extract, analyse and interpret data to answer product and business-related questions.
Work closely with Product Managers to evaluate product performance and identify improvement opportunities.
Analyse user behaviour, funnels, cohorts and key business metrics.
Build and maintain dashboards and reports to track important metrics.
Identify trends, patterns and anomalies and proactively highlight areas that need attention.
Requirements
Bachelor's degree in Engineering, Economics, Statistics, Mathematics or another quantitative field
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Compensation
For San Francisco, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Responsibilities
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Design and analyze experiments, communicating results that draw detailed and actionable conclusions
Analyze and contribute to development of optimization algos and ML models for use in mobility matching
Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Requirements
Ph.D. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Lead product strategy, roadmap, and backlog for payment products, collaborating with cross‑functional teams to deliver value and improve customer experience.
Responsibilities
Own product vision, strategy and roadmap for payment products
Work closely with backend engineers and architects to define API, service and integration requirements
Gather, analyze and prioritize requirements from business stakeholders, finance, compliance and engineering teams
Manage and prioritize the product backlog; write clear epics, user stories and acceptance criteria
Drive integrations with payment service providers, acquirers and alternative payment methods
Data Analyst specializing in LTV & Subscriptions for Minute’s London team, focusing on subscription analytics, churn modeling, and user lifecycle insights.
Responsibilities
Analyze subscription funnel and user insights
Monitor key subscription and user engagement metrics
Analyze large datasets to uncover trends, patterns, and opportunities across customer behavior, product performance, and the user journey.
Compensation
This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits.
Responsibilities
Analyze large datasets to uncover trends, patterns, and opportunities across customer behavior, product performance, and the user journey.
Conduct deep-dive and root-cause analyses to explain changes in key metrics and turn ambiguous data into clear recommendations.
Design, run, and interpret A/B tests and other experiments, including success metrics, sample sizing, significance testing, and readouts.
Partner with product managers and engineers to define success metrics and measure the impact of new features and initiatives.
Build and maintain dashboards and reports that track KPIs and deliver clear, actionable insights to stakeholders.
Requirements
Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
Define, document, and optimize workflows to launch integrated campaigns at scale, working with cross‑functional stakeholders to drive demand generation and improve campaign productivity.
Compensation
Illinois: $101,400.00 - $139,425.00 base salary
Responsibilities
Partner with marketers and translate business strategy into scalable and dynamic campaign builds
Develop automated orchestration workflows that trigger personalized messaging across the digital ecosystem
Create and maintain templates that improve campaign efficiency and accuracy, including emails, landing pages, forms, segments, and reports
Drive technical enhancements recommendations with MarTech to improve the efficiency and accuracy of our campaign builds
Document, challenge, and refine MAP and IPC processes, programs and procedures
Requirements
BA/BS degree or equivalent work experience
Nice to have: 2+ years of campaign execution experience using Iterable
Nice to have: Experience with CRM systems and other sales tools
Nice to have: Experience with Event technology such as Swoogo, Brightcove, and Zoom
Nice to have: Experience with building audiences through a Customer Data Platform (CDP)
Lead self‑serve acquisition and growth journeys for Zyte’s web data products, owning the funnel from signup to paid subscription and driving experimentation and data‑driven growth.
Responsibilities
Manage the self‑serve funnel end‑to‑end
Define, measure and improve every stage of the funnel
Be product owner for the website and product UI
Set roadmap and priorities for web presence and platform UX
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