Lead Data Analyst

As a Senior Data Analyst in the platform team, you will own our data-as-a-product strategy from start to finish. You'll collaborate with product management, engineering, and senior stakeholders to build dashboards, queries, and reports, monitor KPIs, and translate business requirements into data outcomes. You'll define and implement best practices for data analysis, manage the data analysis backlog, and champion data-driven decision making across the department.,

• Build dashboards, queries, and insight reports for senior stakeholders
• Monitor department KPIs and deliver actionable insights
• Collaborate across teams to interpret requirements into data outcomes
• Define, implement, and manage a new data discipline in the department
• Promote a culture of data-driven decision making
• Own the data analysis backlog and strategy for maximizing data value
• Automate and scale data operations and reporting
• Lead end-to-end data projects from requirements to implementation and monitoring
• Translate business problems and customer requirements into data features
• Partner with product, engineering, operations, and leadership to influence decisions
  
  Join us as our first Senior Data Analyst and shape a brand new data discipline within our platform team. You'll have the opportunity to define what great data analysis looks like, promote a culture of data-driven decision making, and make a real impact by partnering with product management and engineering to deliver insights that steer business outcomes. If you're hands-on, detail-oriented, and passionate about turning data into value, this is your chance to lead and innovate., Proficiency with dbt, BigQuery or similar, Looker Studio Pro, Airflow or similar, pandas/polars, numpy
• Advanced SQL skills for complex queries
• Python proficiency for data modelling and manipulation
• Experience with BI platforms for dashboards and data storytelling
• Strong data visualization and dashboard design skills
• Experience working with large datasets from diverse sources
• Strong statistical analysis, regression, SQL, and ETL skills
• Ability to develop and validate hypotheses via A/B testing, forecasting, etc.
• Experience with data governance, compliance, data quality, and controls
• Ability to communicate complex data findings to stakeholders at all levels
Preferred Qualifications, Capabilities, and Skills:
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics)
• Experience with cloud-native platform infrastructure (GCP, AWS)
• Experience in financial services
• Knowledge of predictive analytics and machine learning fundamental
Why Join Us? You'll be empowered to define and lead our data strategy, working in a collaborative, innovative environment where your insights drive real business impact. This is a unique opportunity to shape the future of data analysis in our platform team and make a difference for our company and clients.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.