Top Data & Analytics Jobs

3 Days AgoSaved
Hybrid
3 Locations
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data analytics and business intelligence strategy, mining large datasets, building and validating models, improving processes and reporting, evaluating products and initiatives, and consulting on data systems. Manages and mentors junior analysts, collaborates across business units, and oversees projects from inception through completion. The role requires advanced analytical, programming, communication, leadership, and problem-solving skills.
Top Skills: AWSAws CloudformationPythonRSparkSQLTableauTerraform
Reposted 3 Days AgoSaved
Hybrid
Plano, TX, USA
179K-205K Annually
Mid level
179K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design and build scalable, low-latency, fault-tolerant streaming data platforms and distributed data pipelines. Own streaming analytics, cloud-based data stores, CI/CD practices, and mentor engineers while collaborating with product, security, and ML teams to deliver robust cloud solutions.
Top Skills: Aws (Big Data Services)DynamoDBFlinkGCPJavaKafkaAzureOpensearchPythonRedshiftScalaSnowflakeSparkSpark StreamingSQLUnix/Linux
Reposted 3 Days AgoSaved
Hybrid
3 Locations
210K-287K Annually
Mid level
210K-287K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Business Director leads insights and analytics for Community Finance, driving innovation and strategic decision-making through data analysis and operational execution.
Top Skills: Data ModelingFinancial ServicesProject ManagementQualitative AnalysisQuantitative Analysis
Reposted 3 Days AgoSaved
Hybrid
5 Locations
150K-205K Annually
Mid level
150K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data analytics strategy for PULSE Risk & Compliance, analyzing large datasets to identify transaction anomalies, risk exposure, and process improvements. Builds and validates models, develops reporting and business intelligence solutions, evaluates products and marketing initiatives, and advises on data and storage systems. The role requires collaboration across business units, project leadership, regulatory compliance awareness, and potentially people management.
Top Skills: AWSMachine LearningPythonRRelational DatabasesSparkSQLTableau
Reposted 3 Days AgoSaved
Hybrid
2 Locations
101K-188K Annually
Senior level
101K-188K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead analytics and strategy for retail and small business banking: identify opportunities, build pricing and credit risk models, support marketing, design targeted insights, test hypotheses, drive implementation, and partner with IT, Sales, Operations, and Finance to improve profitability and performance.
Top Skills: SQLStatistical Modeling
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3 Days AgoSaved
Remote or Hybrid
City of Muntinlupa, Rizal, Calabarzon, PHL
Senior level
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Manages data operations for US and Philippines teams, including dashboards, data shares, inventory and risk tracking, control monitoring, supplier performance analysis, and data validation. Leads complex projects, process improvements, automation readiness, and project reporting through Jira. Oversees and develops the Philippines pod, partners with suppliers and cross-functional stakeholders, ensures compliance with data standards and SLAs, and escalates discrepancies and risks.
Top Skills: Amazon QuicksightJIRAPythonSQL
3 Days AgoSaved
Hybrid
Toronto, ON, CAN
157K-180K Annually
Senior level
157K-180K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads credit underwriting and valuation analysis, develops and tests strategies, and presents recommendations to senior leadership. Oversees complex analytical work, guides junior analysts, establishes team roadmaps, and monitors strategy performance. Uses SQL, Python, spreadsheets, Tableau, and QuickSight to analyze data and automate reporting. The role includes developing a high-performing analyst team and is expected to evolve into people leadership.
Top Skills: Amazon QuicksightPythonSQLTableau
3 Days AgoSaved
Hybrid
4 Locations
150K-205K Annually
Senior level
150K-205K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data analytics strategy and project delivery for a global payments network. Mines and analyzes large-scale datasets, develops and validates models, improves processes and reporting, evaluates products and marketing initiatives, and supports new data systems. The role requires collaboration across business units, business intelligence expertise, strategic testing, and management of multiple concurrent projects. It may also involve people management and consulting on data storage and production systems.
Top Skills: AWSPythonRSparkSQLTableau
Reposted 4 Days AgoSaved
Hybrid
2 Locations
150K-188K Annually
Mid level
150K-188K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead analytics-driven strategy, product, marketing, and credit risk initiatives for retail and small business banking. Manage 1-2 analysts, build product/pricing strategies, develop risk models, partner with IT, sales, operations and finance, and deliver business requirements and execution for growth and profitability.
Reposted 5 Days AgoSaved
Hybrid
3 Locations
210K-287K Annually
Mid level
210K-287K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead an analytics team to drive strategy for Accounts Payable and Expense Management. Translate customer, product, and financial data into insights, models, and experiments to inform product, pricing, marketing, and credit risk decisions. Partner cross-functionally to deliver business requirements, manage projects, mentor analysts, and measure impact to grow profitability and customer outcomes.
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