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Entry Level Data Analyst R Programming Jobs in New York, NY

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ...

Data Analyst

New York, NY · On-site

$97K - $130K/yr

Data Analyst Req ID: 10150773 Technology is at the heart of Disney's past, present, and future ... Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to ...

Lead Data Analyst

New York, NY · On-site

$130K - $140K/yr

You won't just analyze data; you'll build the tools that shape our strategy. As a Lead Analyst, you ... Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ...

Senior Data Analyst

Morristown, NJ

$88K - $111K/yr

Collaborate with data platform engineers and modelers to surface data quality issues, missing data ... Proficiency in Python or R for data wrangling, automation, or analytical scripting * Experience ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

Data Analyst

New York, NY · On-site +1

$97K/yr

Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software * Analyzing trends and changes in areas related to ...

Looking to have someone who fits the profile of either a Data Analyst or a Data Engineer refactor the ETL pipelines from one system into the next one. Need people who are able to work independently ...

Data Analyst/Finance Analyst Location: 333 Earle Ovington Blvd, Uniondale, NY Duration: 3- Months ... BA or BS Degree preferably in Math/Econ, Engineering, Computer Science or Finance or equivalent ...

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus Powered by JazzHR Z8TdorkT0r

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus

Data Analyst

Stamford, CT · On-site +1

$73K - $117K/yr

As a Data Analyst on Spectrum's Customer Service Reliability team, you'll transform complex data ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

... data protection settings • Write technical documentation • Work with actuaries and analysts to ... Computer Science, Computer Engineering, Statistics, or relevant field. • A strong understanding ...

Experienced using R, SAS, and/or SQL Preferred Qualities: * Fluency in statistical packages such as ... Experience with applied data analysis and data management. * Familiarity with survey implementation ...

Key Responsibilities • Review and analyze people-related data from HRIS (Workday), performance ... R, or Tableau is a plus. • Ability to use AI tools to enhance reporting and analytics. About ...

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Entry Level Data Analyst R Programming information

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How much do entry level data analyst r programming jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level data analyst r programming in New York, NY is $36.02, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $40.24 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are the most commonly searched types of Data Analyst R Programming jobs in New York, NY? The most popular types of Data Analyst R Programming jobs in New York, NY are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in New York, NY look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in New York, NY are:
Infographic showing various Entry Level Data Analyst R Programming job openings in New York, NY as of June 2026, with employment types broken down into 2% As Needed, 25% Full Time, 64% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,927 per year, or $36 per hour.
Data Analyst

Data Analyst

Alpaca

New York, NY • On-site, Remote

Full-time

Posted 6 days ago


Job description

Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role:

We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You will join a highly collaborative team, partnering closely with cross-functional departments (Finance, Operations, Compliance) to build foundational data models, dashboards, and deep-dive analyses that our teams rely on every day.

This role is ideal for someone who wants to take on meaningful ownership, embed deeply with subject matter experts to quickly assimilate complex brokerage knowledge, and dig deeply into data to understand why things are happening, not just what is happening.

What You'll Do
  • Translate questions into insight. Partner and embed with cross-functional teams to turn ambiguous business and operational questions into clear, useful analytical outputs. You will quickly assimilate subject matter expertise across brokerage operations, ledger systems, and compliance.
  • Build and own analytics data models. Write clean, maintainable SQL against PostgreSQL, Trino, and Apache Iceberg to power core financial metrics, dashboards, and analytical workflows.
  • Build and iterate on metrics and tables. Build and iterate on metrics and tables using dbt, surfacing them through dashboards in Metabase to help teams understand transaction volumes, revenue streams, and system performance over time.
  • Explore data deeply to answer open-ended questions. Use SQL as your primary tool, with Python in a notebook environment like Jupyter when helpful, to investigate trends, anomalies, complex profit and loss (P&L) calculations, and trading behaviors, connecting analyses back to real business questions.
  • Help operationalize data. Identify structural opportunities for standardizing core business entities, proactively transitioning ad-hoc analytical requests into intuitive, user-friendly self-serve environments.
  • Assist with reporting capabilities and streamline report automation, including servicing requests in a timely manner, cataloguing recurring reports, and driving conversations around standardization and productization of data reports.
What We're Looking For
  • Strong SQL fundamentals. Comfortable with joins, CTEs, window functions, and clear query structure across diverse database environments.
  • Analytics Engineering Familiarity. Prior exposure to building analytical data models or metrics tables using dbt or similar analytics-engineering workflows.
  • Deep Analytical Intuition. Able to ask the right questions, explore data thoughtfully, and synthesize clear, well-reasoned conclusions without getting lost in rabbit holes.
  • Python & Notebook Proficiency. Comfortable using SQL as the primary analysis tool, with the ability to use Python (Pandas, NumPy) and Jupyter Notebooks for deeper, more efficient programmatic analysis.
  • Clear Communicator & Collaborator. Can share insights effectively with technical and non-technical partners, acting as a bridge between data infrastructure and business operations.
  • Domain Agility. A strong desire to quickly learn the intricacies of a broker-dealer environment, including clearing infrastructure, execution lifecycles, and financial accounting standards.
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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