Senior Tableau & Data Analytics Lead for Risk & Compliance

Jobtailor; New York (NY); On-site; USD 85,000 - 125,000; Full time

Job summary

Jobtailor is seeking a data analytics professional to design, develop, and maintain Tableau dashboards and self-service reporting for risk-based monitoring and regulatory analytics. You will partner with business teams to gather requirements, analyze data for trends, and translate findings into scalable solutions.

The role involves building data models, ensuring data quality, and optimizing performance across SQL Server and cloud data warehouses.

Qualifications

• Bachelor’s Degree in Information Technology/Systems (IT / MIS), Business Analytics, Computer Science, or another related quantitative or IT field.
• 2 to 4 years of practical and functional experience in data analysis and reporting.
• Strong SQL skills, including complex joins, aggregations, window functions, and performance optimization.
• Ability to work with big data and navigate data warehouses, retrieving, combining, and analyzing data.
• Proficient understanding of banking products, transactional data, and customer information data.
• Required technical skills: Tableau Desktop, Tableau Server / Tableau Cloud, SQL, data visualization and dashboard design, Microsoft Excel.
• Ability to develop knowledge of banking source systems, operations/process flows, banking regulations, and compliance frameworks.
• Autonomous, self-motivated, and flexible, with ability to adapt quickly to change or shifting priorities.
• High ethical standards and strong critical/strategic thinking, detective, analytical, and problem-solving skills.
• Strong interpersonal and verbal/written communication skills.
• Preferred: advanced knowledge, professional certification, or expertise in database querying, data transformation, data visualization, and/or analytical software or programming languages.
• Preferred technical skills: Python, SAS, BigQuery, Power BI, ETL and data integration tools.

Responsibilities

• Design, develop, and maintain Tableau dashboards, scorecards, and self-service reporting solutions for risk-based monitoring, testing, and analytics.
• Partner with business teams to gather reporting requirements and translate them into scalable analytical solutions.
• Analyze data to identify trends and outliers, evaluate compliance with policies and regulatory requirements, and assess root causes.
• Develop data models and visualization standards supporting regulatory reporting, compliance monitoring, control testing, risk assessments, and issue management.
• Validate, reconcile, and quality-assure data; optimize Tableau workbooks for performance, usability, scalability, and maintenance.
• Connect Tableau to SQL Server, cloud-based data warehouses, data lakes, and enterprise reporting repositories.
• Develop and support automated reporting processes and recurring management reporting packages.
• Create technical documentation, data dictionaries, and user training materials.
• Support audits, regulatory examinations, and management inquiries related to compliance reporting and analytics.
• Collaborate with REA, Risk Management, Internal Audit, Data Analytics, Technology partners, business teams, and management

Skills

Tableau Dashboard Design

SQL Skills

Data Analysis

Data Visualization

Banking Regulations Knowledge

Data Modeling

Data Quality Assurance

Performance Optimization

Data Transformation

Python

SAS

BigQuery

Power BI

ETL Tools

Microsoft Excel

Education

Bachelor’s Degree in IT/Systems or related field

Tools

Tableau Desktop

Tableau Server

Tableau Cloud

BigQuery

Power BI

ETL Tools

Microsoft Excel

Job description

Jobtailor is seeking a data analytics professional to design, develop, and maintain Tableau dashboards and self-service reporting for risk-based monitoring and regulatory analytics. You will partner with business teams to gather requirements, analyze data for trends, and translate findings into scalable solutions.

The role involves building data models, ensuring data quality, and optimizing performance across SQL Server and cloud data warehouses.