New York Business/Systems Analysts Job Listings

Senior Banking and Financial Business Analyst (with Cards Experience)63844792746627120

Workable

Senior Banking and Financial Business Analyst (with Cards Experience)

Job Summary: We are seeking a highly skilled and experienced Senior Banking and Financial Business Analyst with a deep understanding of the banking industry, financial services, and payment card systems. This position requires a professional who can bridge the gap between business stakeholders and technical teams, ensuring the successful implementation of projects related to banking operations, financial products, and card services. The ideal candidate will have a strong background in card payments, financial regulations, risk management, and customer experience optimization within the banking sector. Key Responsibilities: Business Analysis & Requirements Gathering Card Payment Systems Expertise Assist Project Managers and Scrum Masters for daily Project Execution. Risk & Compliance Management Stakeholder Management & Communication Data Analysis & Reporting Education: Bachelor's degree in Finance, Business Administration, Computer Science, or related field. MBA or related advanced degree is a plus. Experience: At least 8-10 years of experience in banking and financial services, with a focus on payment cards (credit, debit, prepaid). Lead/drive, with appropriate stakeholders, identification of necessary business requirements as well as technical requirements arising from those business requirements. Strong documentation skills – ability to create requirements documents as well as other artifacts – traceability matrix, ERD, process flows, data mapping, etc. Understanding of banking domain and card technology (credit/debit - Commercial and retail banking). Strong analytical skills – ability to unwind complex integrations / process flows by asking appropriate questions and identifying necessary details to garner understanding as well as meet the overall goal within scope of the project. Ability to lead data mapping, and participate in subsequent testing of requirements – keeping track of overall progress and participating in analysis / identification of business impacts for defects and driving resolution with appropriate parties. Technical Skills: Proficiency with business analysis tools (e.g., JIRA, Confluence, MS Visio) and project management software. Familiarity with card payment technologies, systems, and frameworks (e.g., Visa/Mastercard networks, SWIFT, payment gateways). Knowledge of data analytics tools (e.g., Excel, Tableau, SQL) to analyze transaction data and generate insights. Soft Skills: Excellent communication and interpersonal skills, with the ability to manage stakeholder relationships and facilitate discussions across technical and non-technical teams. Strong problem-solving abilities and attention to detail. Ability to work on multiple projects simultaneously and effectively in a fast-paced environment. Strong business acumen with an ability to understand and align technical solutions with strategic business objectives. Desirable Skills: Experience with digital payment platforms, mobile banking apps, and online banking services. Familiarity with agile methodologies and tools (e.g., Scrum, Kanban). Certification in Business Analysis (CBAP, CCBA) or Project Management (PMP, Scrum Master) is a plus. Experience in managing vendor relationships and outsourcing partnerships.

Albany, NY, USA

Data and Analytics Engineer63392004413953121

Workable

Data and Analytics Engineer

About Us Resonance is transforming the fashion industry by building a more sustainable and valuable ecosystem for designers, brands, manufacturers, consumers, and the planet. Our AI-powered operating system, ONE, empowers brands to design, sell, and make products efficiently and sustainably. Resonance ONE drives end-to-end garment creation with minimal environmental impact, eliminating overproduction and unnecessary inventory. With headquarters in New York City and Santiago, Dominican Republic, Resonance partners with leading brands—including THE KIT and Rebecca Minkoff—to significantly reduce resource use: 97% less dye, 70% less water, and 50% less material compared to traditional fashion brands. About the Role We’re seeking a talented Data and Analytics Engineer to build, maintain, and scale our data infrastructure. You’ll play a crucial role in shaping our analytical capabilities, enabling Resonance to leverage data-driven insights effectively across our complex, integrated technology stack. In this role, you’ll develop and maintain robust ELT pipelines, transforming data from diverse sources—including telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Additionally, you’ll craft sophisticated LookML models to power interactive analytics, dashboards, and explorers used daily by our business teams. Responsibilities Design, build, and maintain scalable ELT pipelines that reliably transform raw data from sources such as Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Create efficient, maintainable data models within Snowflake that serve as the foundation for analytics, reporting, and data-driven decision-making. Develop and refine LookML models, enabling intuitive exploration, dashboards, and actionable analytics for non-technical business users. Collaborate closely with product teams, engineers, and business stakeholders to identify data needs, gather requirements, and deliver high-impactdata solutions. Continuously improve data quality, governance, and accessibility, implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay updated on the latest data engineering technologies, approaches, and analytics tools to ensure Resonance maintains industry-leading capabilities. Requirements Minimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong proficiency in building robust ELT/ETL data pipelines using modern tools and practices. Hands-on experience with Snowflake or similar cloud data warehousing platforms. Proficiency with SQL and database modeling techniques for analytics. Experience building analytics layers and semantic models (LookML strongly preferred; experience with similar BI tools like dbt or Tableau considered). Familiarity integrating data from external sources such as Shopify, SendGrid, or other SaaS platforms. Strong analytical mindset, problem-solving capabilities, and attention to detail. Excellent collaboration and communication skills in remote, cross- functional environments. Preferred Qualifications Previous startup or rapid-growth environment experience. Advanced knowledge of Snowflake performance optimization and cost management. Experience with Looker, LookML, and creating intuitive, interactive analytics products. Familiarity with Python scripting for data pipelines and automation. Interest or experience in sustainability, e-commerce, fashion-tech, or manufacturing domains. Benefits We offer comprehensive benefits (medical, dental, and vision), competitive salary, equity participation, and remote work flexibility. Resonance Companies is an equal opportunity employer committed to diversity, inclusion, and innovation. All employment decisions are based solely on qualifications, merit, and business need.

New York, NY, USA

Business Intelligence Analyst63392001824385122

Workable

Business Intelligence Analyst

We are offering an exciting opportunity for a detail-oriented and analytical Business Intelligence Analyst to join our team in our New York City office. This role requires a blend of technical expertise, business acumen, and the ability to work collaboratively with cross-functional teams. With over 138 years of experience, H&H is a trusted full-service infrastructure engineering firm. Our clients, including infrastructure owners, contractors, and colleagues, rely on us for intricate and innovative engineering solutions. They trust our time-tested ability to manage the entire life cycle of a project, from the study and planning phase through to design and construction. With over 600 talented employees located across 30 offices nationwide, H&H can efficiently and effectively handle assignments of all sizes, types, and delivery methods around the country and across the globe. Responsibilities Data Analysis and Reporting: Collect, process, and analyze large datasets from sources such as project management software, financial systems, and CRM/ERP tools Develop and maintain dashboards, reports, and visualizations to enhance business performance insights Create process flows and automate analytics Build API interfaces between operational and analytics platforms Identify trends, patterns, and anomalies in data, and communicate findings to management Data Management: Develop data marts and associative data models Conduct data forensics to resolve data governance issues Participate in data governance activities BI Tools and Systems: Utilize BI tools (e.g., QLIK, Talend, Power BI, Tableau, SQL) to create and maintain data models, dashboards, and reports Ensure data accuracy and integrity through data governance and regular audits Stay updated on the latest BI tools and technologies to enhance reporting and analytics capabilities Collaboration with Teams: Collaborate with engineering and finance teams to understand data needs and deliver insights for project planning and optimization Align BI efforts with strategic goals by working with finance, operations, and management teams Provide training and support for end-users on BI tools and reporting processes Strategic Planning and Decision Support: Provide data-driven insights and recommendations in strategic planning sessions Analyze market trends, client data, and project performance metrics to support business development Develop KPIs and metrics to monitor and enhance business performance Requirements Bachelor’s degree in Business Analytics, Data Science, Engineering, Computer Science, or a related field Master’s degree (preferred) Minimum of three to five years of experience in business intelligence, data analysis, or a similar role (engineering consulting or related industry) Experience with BI tools (e.g.,QLIK, Talend, Power BI, Tableau, SQL) and data modeling techniques Proficient in SQL and experience with data warehousing concepts Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights Excellent communication skills, both written and verbal, with the ability to present findings to non-technical stakeholders Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) (preferred) Preferred Attributes Understanding engineering project management methodologies and tools Experience working in a consulting environment with exposure to various industries Proactive, self-motivated, and detail oriented Benefits Salary Range- $80,000-$100,000 annually. Salary commensurate with experience. We offer a professional work environment, competitive salary, benefits package and 401(k). EOE M/F/ DISABILITY/VETS

New York, NY, USA

$80,000-100,000/year