Hybrid Data Analyst

at Uphold

• Job title: Data Analyst
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $139,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, SQL
• Location requirements: Hybrid, New York City, United States

About the role

• Data Analyst conducting data exploration and analysis for Neobanking processes at Uphold. Collaborating with cross-functional teams to enhance financial decisions and operations.

Responsibilities

• Conduct in-depth data explorations and analysis to be consumed by Senior Management, Finance, Accounting, Risk, and Product teams to enhance targeting, increase revenue, and allocate resources more efficiently.
• Translate business questions and objectives into concrete metrics and KPIs.
• Implement and automate dashboards and reports that feed on data to support decision-making.
• Develop dashboards to support the monitoring of new features and new network integrations launched.
• Collaborate closely with Finance & Accounting and Product teams to identify data-enabled solutions to challenges such as cash flow management, reconciliation, risk assessment, and regulatory reporting.
• Build and communicate compelling financial data stories—clearly and concisely—both orally and via dashboards, visualizations, and reports that highlight profitability, risk, compliance, and growth opportunities.
• Design customized interfaces to expose internal data to key stakeholders.
• Guarantee data quality on both operational systems and offline datasets.
• Help data engineers with the design, implementation, and maintenance of data pipelines.
• Design and conduct A/B(/n) tests to evaluate and continuously improve neobanking services and products.
• Develop domain expertise on digitized financial assets to bring an advanced level of understanding to analyses.
• Contribute to the definition of overarching processes and practices across the Data Team and the rest of the company.
• Evangelize a data-driven culture throughout Uphold’s multiple business units.

Requirements

• Bachelor’s degree in a quantitative field such as mathematics, economics, statistics, informatics, data science, or engineering.
• Strong knowledge of probability, descriptive, and inferential statistics.
• Strong knowledge of Python and SQL.
• Experience working with data warehousing solutions and leveraging data models in a cloud-based environment.
• Proven ability to transform the results of complex data transformation procedures into concrete decisions and actions.
• Ability to lead small projects from conception and design through implementation to delivery and communication.
• Drive to grow as a well-rounded data analyst in quantitative methods, software engineering, communication, and business.
• Creativity, curiosity, and a growth mindset.
• Team player with the ability to work within cross-functional teams.
• Value and results-oriented, with a keen eye for quality of deliverables.
• Fluent written and oral English skills.

Benefits

• An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep innovating and challenging more each day.
• An international team, in a cutting-edge field, working on the most fascinating projects.
• Growth and career opportunities, and the chance to be proactive and creative.
• A flexible and enthusiastic work environment that offers you snacks, coffee, and other great benefits.
• Open and transparent culture - we get together every week to share updates and strategic plans while getting to know each other informally over food and drinks.
• Interesting events that keep you connected with the team and celebrate our success.