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Walk In Data Analyst Interview Jobs in New York (NOW HIRING)

campus4tech

Business Data Analyst

Iselin, NJ · On-site

Hybrid 3 day in-office / 2 day remote after first 2 months in-office Status: Temp 12 Months Key ... Analyze business data to identify trends, opportunities, and areas for improvement; support data ...

Neotecra

Data Mapping GIS analyst

New York, NY · On-site

Work with operations and planning teams to update transit records Required Skills: * 3+ years of experience in Data Analysis, GIS Analysis, Transit Operations, Transportation Planning, or related ...

Caresoft Inc.

Salesforce Data Analyst

New York, NY · On-site

$65 - $66/hr

As a Data Analyst, you will play a pivotal role in ensuring the accuracy and efficiency of our client data. Your responsibilities will include: • Data Governance & Quality: Monitor data health and ...

CYNET SYSTEMS

Data Analyst

New York, NY · On-site

$55 - $60/hr

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 1+ years of experience in Asset & Wealth ... Familiarity with data analysis tools such as Excel and Python is preferred. * Exposure to ETL tools ...

AvePoint

Data Analyst- Channel

Jersey City, NJ · On-site

$85K - $110K/yr

In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth ...

MDAEdge

Data Analyst (Tableau & Excel)

Manhattan, NY · On-site

Required : • Advanced proficiency in Tableau (6-9 years) including calculated fields, parameters ... for complex data modeling and statistical analysis. • Minimum 6-9 years of professional ...

EXL

Business Data Analyst

Jersey City, NJ · On-site

For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual ... We are seeking a Business Data Analyst with a strong background in large-scale data applications ...

AvePoint

Data Analyst- Channel

Jersey City, NJ

$85K - $110K/yr

In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth ...

adMarketplace

Data Analyst

Manhattan, NY · On-site

$70K - $90K/yr

In this role, you'll work at the intersection of data, product, and business strategy, helping ... Analyze large, complex datasets to uncover trends, patterns, and actionable insights that drive ...

Tachyon Technologies

Data Analyst

New York, NY

$65 - $75/hr

Data Analyst Location: NYC, NY Duration: Longterm Description ... Expertise on SQL (Snowflake or any other MPP databases such as Redshift) 2. Very good knowledge in ...

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Walk In Data Analyst Interview information

Is it easy to crack a data analyst interview?

Cracking a data analyst interview requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and a good understanding of statistical concepts. Preparation through practicing case studies, technical questions, and understanding the company's data environment can improve success chances. While challenging, consistent study and experience can make the process more manageable.

Is it hard to get hired as a data analyst?

Getting hired as a data analyst can be competitive, as it often requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and relevant experience or certifications. Success depends on the candidate's technical abilities, problem-solving skills, and the demand within the industry or company.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle large data sets efficiently, human expertise remains essential for interpreting results, understanding context, and making value-driven recommendations. Data analysts who develop skills in machine learning tools and data visualization will continue to be valuable in the evolving job market.

Is 40 too late for data science?

For a data analyst or data scientist role, starting a career at 40 is possible, especially with relevant skills such as programming, statistics, and tools like Python or SQL. Many professionals transition into data roles later in life by gaining certifications or experience, and age is less of a barrier than skill level and continuous learning.
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Walk In Data Analyst Interview jobs near you
Infographic showing various Walk In Data Analyst Interview job openings in New York as of July 2026, with employment types broken down into 6% Internship, 58% Full Time, 9% Part Time, 6% Temporary, and 21% Contract. Highlights an 88% In-person, and 12% Remote job distribution.
Data Analyst - Risk & Analytics *** Direct End Client ***

Data Analyst - Risk & Analytics *** Direct End Client ***

Projas Technologies, LLC

Manhattan, NY • On-site

Other

Re-posted 21 days ago

Job description

Data Analyst Risk & Analytics (Fintech)

As a Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Analytics and Insights team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.
Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Develop intuitive dashboards and visualizations to monitor performance and guide decisions.
  • Design and execute A/B tests and data-driven experiments to optimize business outcomes.
  • Communicate insights clearly to technical and non-technical stakeholders, including executives.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional data to detect trends, anomalies, and risk patterns.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Build and maintain clean, reliable data pipelines for monitoring and experimentation.
  • Identify and resolve gaps in data quality, availability, and structure.
Qualifications:
  • 5+ years in analytics, data science, or decision strategy roles (Fintech or Financial Services preferred).
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

senior business data analyst, risk analytics, fintech jobs, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, fraud detection, risk management, dashboard development, data science, financial services, experimentation, policy analytics, KPIs, OKRs, data storytelling, cross-functional collaboration

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