New York Business/Systems Analysts Job Listings

Senior Data Scientist - Agentic AI63499937279235120

Workable

Senior Data Scientist - Agentic AI

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources. Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement. Develop and deploy AI and ML solutions on Google Cloud Platform. Utilize massive data sources to craft business insights and features for innovative solutions. Understand diverse data sources, both structured and unstructured. Requirements 6+ years of overall experience, 4+ years working as a GenAI Data Scientist. Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development. Experience with agents frameworks (preferably Langchain). Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc. Experience with proprietary and/or open source LLMs. Experience in prompt engineering. Experience with RAG and Vector Databases Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

New York, NY, USA

Negotiable Salary

Workable

Power BI Developer

Position Summary: As a Power BI Developer, you will be responsible for maintaining, enhancing, and optimizing our existing suite of Power BI reports and dashboards. You will leverage your deep expertise in DAX, data modeling, SQL, and Microsoft Fabric to ensure our business users have timely, accurate, and actionable insights. This role requires a strong foundation in database management systems and hands-on experience managing complex BI solutions. You will collaborate closely with stakeholders across data analytics, commercial, and finance teams to continuously improve report performance and ensure our reporting infrastructure aligns with business needs. Principal Duties and Responsibilities: Data Analysis and Modeling: Conduct thorough analysis of business requirements and data sources to design efficient data models that support reporting and analytics needs. Maintain and Enhance Reports: Manage, update, and optimize existing Power BI dashboards and reports to ensure data accuracy and peak performance Database Management: Develop a solid understanding of underlying database structures and data pipelines that feed Power BI, ensuring reliability and integrity of data sources. Data Visualization: Utilize best practices in data visualization to effectively communicate insights and trends to both technical and non-technical stakeholders. DAX & Query Development: Write, debug, and optimize complex DAX calculations and Power Query transformations for advanced reporting scenarios. Performance Optimization: Diagnose and resolve performance bottlenecks in Power BI datasets and reports; implement best practices for data model design and query efficiency. Fabric & SQL Integration: Leverage Microsoft Fabric and advanced SQL skills to unify disparate data sources and streamline dataflows into Power BI. Collaboration: Partner with BI analysts, data engineers, and business stakeholders to translate evolving business requirements into robust, scalable BI solutions. Documentation & Governance: Maintain clear documentation of data models, reports, processes, and best practices to support governance and team knowledge sharing. Support & Training: Provide troubleshooting support for Power BI users and deliver knowledge sessions to promote self-service analytics where appropriate Continuous Improvement: Stay up to date with Microsoft Fabric, Power BI features, and industry best practices to proactively recommend improvements. Requirements Bachelor’s or master’s degree in computer science, Data Analytics, Information Systems, or a related STEM field. 2+ years of full-time, professional experience developing and maintaining complex Power BI reports and dashboards. Advanced proficiency in DAX, Power Query, and SQL. Strong understanding of database management systems and data warehousing concepts. Practical experience with Microsoft Fabric and integrating multiple data sources. Solid skills in Python programming for data processing, automation, or advanced analytics workflows. Demonstrated ability to optimize Power BI datasets, queries, and report performance. Proven background in data analytics or business intelligence, with the ability to translate data into actionable insights. Excellent analytical thinking, problem-solving, and communication skills. Ability to work independently and collaboratively in a fast-paced environment with multiple priorities. Experience in the spirits or consumer packaged goods (CPG) industry is a plus, but not required. Benefits Highly competitive compensation packages-Range $70-85k+10% annual bonus Comprehensive medical, dental, and vision insurance Matching 401(k) plan Yearly wellness stipend (gym membership or fitness classes) Generous holiday and vacation policy

White Plains, NY, USA

$70,000-85,000/year

Data and Analytics Engineer63392004413953122

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

Negotiable Salary

Business Intelligence Analyst63392001824385123

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