Data Analyst

Municipal Credit Union • New York, NY

18d • $76,700 - $100,800

About The Position

At Municipal Credit Union, we believe that an incredible culture helps create a happy and motivated team that works hard to achieve the best results for themselves and their members. For more than 100 years, MCU has provided affordable financial products and convenient services to a membership base that is now comprised of over 600,000 individuals. With each new generation we have the pleasure of interacting with, we maintain the credit union promise of people helping people.

Our Mission:

To help hard-working New Yorkers build better tomorrows

Our Vision:

Be New York's most loved financial institution by helping our members build their best financial futures

Overview: The Data Analyst plays a critical role in transforming data into actionable insights that drive strategic decision-making. Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data transformation, integration, and storage. Provide inputs for complex data architecture and perform ELT on large data sets to support departmental and organizational objectives. Advanced skill set and proficiency with data transformation practices, query languages, script languages, ELT/ETL pipelines and analysis techniques.

Requirements

• Develop and maintain data pipelines, workflows, and APIs.
• Design, build, and maintain dashboards, scorecards, and ad hoc reports using tools like Power BI and Tableau.
• Translate business needs into data requirements and reporting specifications.
• Partner with business units to identify KPIs and develop visualizations that support operational and strategic goals.
• Ensure data accuracy and consistency across reporting platforms.
• Collaborate with stakeholders to understand data needs and deliver insights that inform product, member, and market strategies.
• Extensive experience with Reporting tools such Crystal Reports or SQL Reports.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Familiarity with Symitar and its related technologies such as PowerOn, SymXchange, OpCon, and ARCU. This is a key differentiator for this role.
• Other: Desirable experience with SharePoint for collaborative products and workflows.

Responsibilities

• Develop and maintain data pipelines, workflows, and APIs.
• Document data assets and map data flows across systems to support transparency, traceability, and compliance.
• Define, describe, organize, and categorize data sets to support efficient access and understanding across the organization.
• Analyze data to uncover trends, patterns, and actionable insights that inform operational improvements and strategic initiatives.
• Design, build, and maintain dashboards, scorecards, and ad hoc reports using tools like Power BI and Tableau.
• Translate business needs into data requirements and reporting specifications.
• Partner with business units to identify KPIs and develop visualizations that support operational and strategic goals.
• Ensure data accuracy and consistency across reporting platforms.
• Collaborate with stakeholders to understand data needs and deliver insights that inform product, member, and market strategies.
• Maintain documentation and metadata for reports and dashboards.
• Maintain and regularly update the enterprise data dictionary and a centralized index of reports and dashboards to ensure transparency and accessibility.
• Contribute to data literacy efforts by supporting training and enablement programs.
• Develop and deliver training sessions, workshops, and documentation to help business users effectively use BI tools.
• Provide ongoing support and guidance to users on interpreting dashboards and reports.
• Promote self-service analytics and foster a data-driven culture across departments.
• Identify and compile data sets using a variety of transformation tools to help predict, improve, and measure the success of key business-to-business outcomes
• Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability
• Clean and organize raw data and generate data tables in support of business intelligence and data science projects
• Build working relationships with team members and subject matter experts

Benefits

• Employees in this position may also be eligible for a discretionary bonus, 401(k) with an 6% employer match per pay period.
• Benefits for this position include Medical, vision, dental, life, and disability insurance, flexible paid time off and 11 paid holidays annually.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed