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Analyst Data Analysis Jobs in New York (NOW HIRING)

Business and data analysis for strategic projects and enhancements across financial products and reporting. * Work closely with business/users, other entities/departments, and vendors to identify ...

* Act as a main point of contact for business users seeking data for analytics, reporting, or operational decisions * Guide customers on what data exists, where it resides, and how to access it across ...

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Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making across the business. Responsibilities : • Own and evolve our ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

They are seeking a Senior Data Analyst to own data models, drive analytical initiatives, and ensure reliable data for decision-making. Responsibilities : • Own and evolve our core data models ...

Genesis10 is currently seeking a Business Analyst / Data Analyst for a contract position with a Global Financial Institution located in Jersey City, NJ. This is a 12+ month contract opportunity. This ...

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Analyst Data Analysis information

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

Can I be a data analyst with no experience?

Entry-level data analyst positions often do not require prior experience if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools, and a solid understanding of data concepts. Gaining certifications or completing relevant coursework can improve chances of securing a role without professional experience.

Is a data analyst a high paying job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can achieve higher compensation, making it a financially rewarding career for many professionals.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What cities in New York are hiring for Analyst Data Analysis jobs?

Cities in New York with the most Analyst Data Analysis job openings:

Infographic showing various Analyst Data Analysis job openings in New York as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution.

BUSINESS ANALYST (DATA)

SolGenie

New York, NY • On-site

Full-time

Re-posted 29 days ago


Job description

We have got a contract opportunity for BUSINESS ANALYST (DATA) with one of our clients. Detailed job description is given below
Title: BUSINESS ANALYST (DATA)
Location: New York
Duration: 9+ months
Work Mode: Hybrid (3 days in office)
Visa: Due to nature of the job, we can consider only US citizen and Green Card
  • Experience: Should have more than 5+ years
  • Extensive experience in the Financial Services Industry.

JOB PURPOSE
  • Gathering, analyzing, and writing requirements, data analysis, report creation, creating trade/system flow diagrams, PowerPoints, as well as assisting with project delivery of in-house/vendor application implementation.
  • Work with cross-functional teams to understand the business to apply effective technical solutions for different work streams.

RESPONSIBILITIES
  • Business and data analysis for strategic projects and enhancements across financial products and reporting.
  • Work closely with business/users, other entities/departments, and vendors to identify, assess, and document requirements.
  • Gather and analyse business requirements to transform and deliver client business needs into system solutions.
  • Facilitate daily/weekly Developer scrums, sprint planning sessions, sprint reviews, and retrospectives.
  • Support agile activities, including user story creation, acceptance criteria definition, product backlog grooming, and identifying key dependencies and risks.
  • Lead new projects from inception through go live, managing the project lifecycle across authoring Project Initiation Documents/Business Requirements Documents, Status Reports, leading Front to Back UAT across Users/Developers

KEY COMPETENCIES
  • Extensive experience in the Financial Services Industry.
  • Excellent attention to detail in project management and business/data analysis.
  • Strong analytical skills to solve business problems using data.
  • Excellent communication/writing skill, ability to present complex information and write functional/technical specifications and use cases.
  • Ability to manage multiple tasks / projects and develop strong client relationships.
  • Strong analytical and problem-solving skills.
  • Technical understanding of application design and SDLC life cycle.
  • Strong communication skills and language bridging between development team and business stakeholders.
  • Good understanding of finance and front/middle/back-office operations, and able to adapt quickly to business technology landscape.
  • Experience presenting technical content to business users and cross-departmental audiences.
  • Strong skills working with MS Excel, MS Project, MS Word, MS Power Point, MS Visio, MS Teams & SharePoint, Atlassian JIRA & Confluence