Data Analysis Jobs in New York City, NY

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Looking for Data Analysis jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the New York City, NY area.

SAP S/4HANA Order to Cash Senior Managing Consultant

Company: IBM

Location: No City, US

Posted Dec 20, 2025

This job description highlights a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, career growth opportunities, and impactful projects. It outlines technical requirements, project management skills, and integration expertise needed for the position.

AI Architect

Company: IBM

Location: New York, US

Posted Dec 23, 2025

The text promotes IBM Consulting as a career opportunity emphasizing innovation, collaboration, and growth. It outlines roles requiring expertise in cloud architecture, data engineering, and AI, while highlighting the company's focus on client impact and professional development.

Snowflake Data Engineer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 20, 2025

This job description outlines a role as a Snowflake and ETL developer for IBM Consulting, focusing on data solutions for electric utility initiatives. The position emphasizes collaboration with clients, innovation in hybrid cloud and AI, and career growth through technical expertise and strategic partnerships.

Application Developer-Cloud FullStack

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 23, 2025

IBM Consulting offers career opportunities focused on client collaboration, cloud and AI innovation, and professional growth. The role involves developing cloud applications, working with senior teams, and leveraging DevOps tools to drive impactful solutions.

Business Sales & Delivery Leader

Company: IBM

Location: JEFFERSON CITY, US

Posted Dec 24, 2025

This role emphasizes leading in technology, solving complex problems, and collaborating on innovative solutions with expertise in data analytics and Azure tools.

.Net Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 20, 2025

IBM Consulting offers career opportunities focused on client collaboration, innovation, and technical expertise in hybrid cloud and AI, requiring skills in ASP.NET and Microsoft technologies.

Data Engineer-Business Intelligence - 5658115

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

The text describes a role in IBM Consulting focused on AI and data engineering, emphasizing collaboration, innovation, and career growth. It highlights responsibilities like designing AI systems, working with global teams, and required skills in machine learning and MLOps. The tone is promotional and confident about the opportunities and technologies involved.

Order to Cash Practitioner

Company: IBM

Location: Naga City, PH

Posted Dec 20, 2025

IBM seeks an Order to Cash Analyst to handle transactional tasks, collaborate with clients, and drive innovation. The role emphasizes problem-solving, communication, and achieving business goals in a dynamic environment.

Application Developer-DevOps - 5658170

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

IBM Consulting offers DevOps roles focusing on CICD pipelines, automation, and cloud technologies. The position requires expertise in DevOps tools, scripting, and agile methodologies, with a preference for cloud platform experience.

Full Stack .Net Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 20, 2025

IBM Consulting offers roles in application development with Microsoft technologies, emphasizing innovation, client collaboration, and career growth opportunities through strategic partnerships and technical expertise.

AI Architect

Company: IBM

Location: New York, US

Posted Dec 23, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It outlines responsibilities like system design, data architecture leadership, and required expertise in cloud platforms, machine learning, and AI governance frameworks.

Data Engineer-Business Intelligence - 5658124

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

The text describes an AI engineering role at IBM Consulting, emphasizing collaboration, innovation, and career growth. It highlights opportunities to develop AI solutions, work with global teams, and contribute to technological advancements through hybrid cloud and AI initiatives.

Frequently Asked Questions

What are typical salary ranges for Data Analysis roles by seniority?
Entry‑level Data Analysts earn $65k–$85k, mid‑level $85k–$115k, senior $115k–$150k, and analytics leaders or managers range $140k–$190k. These figures reflect U.S. averages and vary by region and industry.
Which technical skills and certifications are most valuable for Data Analysis professionals?
Strong proficiency in <strong>SQL</strong>, <strong>Python</strong>, <strong>R</strong>, and spreadsheet modeling is essential. Building dashboards in <strong>Tableau</strong> or <strong>Power BI</strong>, working with cloud warehouses like <strong>Snowflake</strong> or <strong>BigQuery</strong>, and knowledge of statistical testing are core. Certifications such as Certified Analytics Professional (CAP), Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and AWS Certified Data Analytics – Specialty boost credibility.
Is remote work common for Data Analysis positions?
Yes—over 70% of listings on jobtransparency.com offer full‑remote or hybrid models. Remote analysts frequently use cloud data platforms (Snowflake, BigQuery), version control (Git), and collaboration tools like Slack and Microsoft Teams to maintain data integrity and stakeholder communication.
What career progression paths are available for Data Analysis talent?
Typical growth moves from Junior Analyst to Senior Analyst, then to Analytics Lead or Manager, and ultimately to Director of Analytics or VP of Data. Specializations such as predictive modeling, data engineering, or product analytics create additional advancement opportunities, especially when coupled with continuous learning and certifications.
What industry trends are shaping the future of Data Analysis?
Key trends include real‑time stream analytics, AI‑augmented analytics that automate insights, growing adoption of cloud data lakes and lakehouses, heightened focus on data governance, privacy compliance, and the need for explainable AI dashboards that blend statistical rigor with narrative storytelling.

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