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Afternoon Data Analyst R Programming Jobs in Edison, NJ

Lemonade

Data Analyst

New York, NY · On-site

Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects ... Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight ...

Konrad

Senior Data Analyst

New York, NY · Hybrid

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Konrad

Senior Data Analyst

New York, NY · On-site

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Sundaysky

Data Analyst

New York, NY · On-site

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

Sundaysky

Data Analyst

New York, NY

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Dlapiper

Sr Data Analyst

Short Hills, NJ · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

NYULMC

Data Harmonization Analyst

New York, NY · On-site

This position focuses on analyzing source data structures, developing source-to-target mapping ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Healthix

Data Analyst

Manhattan, NY · On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Ra

Data Analyst

New York, NY · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Ra

Data Analyst

Princeton, NJ · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Purple Drive Technologies

Data Analyst

New York, NY · On-site

Data Analyst Location: New York, NY Skills Required * At least 3 years of experience in Money ... Senior Developer level experience in Neo4j Graph database * Strong in Neo4j Cypher queries, Graph ...

Healthix

Data Analyst

Manhattan, NY · On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Public Health Solutions

Data Analyst

Manhattan, NY · On-site

$89.44K/yr

The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary ... Extensive experience using SAS or R and experience using Microsoft Office, Excel, Access, and ...

Hearst Newspapers

FinOps Data Analyst

New York, NY

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Hearst Newspapers

FinOps Data Analyst

New York, NY · On-site

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Hearst

FinOps Data Analyst

New York, NY · On-site

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Hearst Newspapers

FinOps Data Analyst

New York, NY

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Hearst Television

FinOps Data Analyst

Manhattan, NY

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Hearst

FinOps Data Analyst

New York, NY

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

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Afternoon Data Analyst R Programming information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

How much do afternoon data analyst r programming jobs pay per year?

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Edison, NJ is $85,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Edison, NJ? The most popular types of Data Analyst R Programming jobs in Edison, NJ are:
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What cities near Edison, NJ are hiring for Afternoon Data Analyst R Programming jobs? Cities near Edison, NJ with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Lemonade

New York, NY • On-site

Full-time

Posted 9 days ago

Job description

Not your everyday company
Lemonade completely reinvented how insurance works. As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
At Lemonade, you'll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, we're nimble and efficient. We take pride in the fact that we still think and operate like a startup. We don't care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
We're built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We don't like spending our days in meetings and we skip committees altogether. At Lemonade, there's no such thing as going over someone's head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.
As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
Awarded 'best workplace'
Best Workplace and Best-Led Company by Inc. Magazine
"World Changing" by Fast Company
Recognized as a World Changing Idea by Fast Company Magazine
Ranked #1 Home insurance in America
Won best renters and homeowners insurance in America by US News, and others
Best Pet Insurance in America
Rated "Best Overall Pet Insurance" by Better Homes & Gardens
Rated 4.9 on the App Store
Among the highest rated apps of all time
What you're applying for
We're looking for a Data Analyst to help turn Finance, Compliance, Insurance, and Actuarial questions into trusted answers and shipped analytical capabilities. You'll sit inside the FCIA team as the embedded data expert, working alongside Finance, Actuarial, Insurance Product, and Compliance leaders on the numbers that actually drive decisions - the metrics that shape how we price risk, manage reserves, close the books, and report to regulators, owned and governed by you, not passed off through a ticket queue.
We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
  • Own metric definitions for FCIA domains in the semantic layer - loss ratio, premium earning, reserves, unit economics by product and state - so every dashboard, query, and AI agent pulls from the same source of truth
  • Diagnose what's driving movement across loss ratios, reserve adequacy, premium pacing, and expense trends, and bring those findings into the Finance close cadence and monthly reviews where decisions actually get made
  • Build AI-assisted analytical tools - simulators, scenario models, agentic workflows - that let Finance and Actuarial partners explore "what if" questions without booking analyst time
  • Productionize recurring analyses so ad-hoc requests get replaced by governed, reusable capabilities that free the team up for higher-leverage work
  • Validate AI-generated outputs - SQL, summaries, recommendations - with the same rigor you'd apply to a junior analyst's work, because speed without judgment isn't useful
  • Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects that span the full policy lifecycle and financial close

What you'll need
  • 3+ years in a data analytics role, ideally at a fast-growing consumer, fintech, or insurtech company
  • Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight tooling-a MUST to qualify for this role
  • Hands-on experience with the modern analytics stack - Snowflake or equivalent, dbt, a BI tool (Looker preferred), and Git-based workflows
  • Fluency with AI-assisted development tools like Cursor, Claude, or Copilot - and the judgment to know when the output needs to be challenged
  • Strong communication skills: you can defend a metric definition under scrutiny and explain a complex finding to a non-technical Finance leader without losing either audience
  • A bachelor's degree in Mathematics, Statistics, Computer Science, or a related field - or equivalent practical experience
  • Ready to work in an office environment at least 3 days a week from our New York location

*Please note that we are unable to sponsor applicants for work visas.
Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico.
Lemonade's US base salary range for this full-time position is $95,000 - $117,500 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Speak to your recruiter to hear more about the specific salary range for your preferred location.
#LI-Remote
Things to know...
Lemonade is an equal opportunity employer committed to diversity and inclusivity. We never discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you require reasonable accommodations due to religious beliefs, pregnancy, or disabilities, let us know at any time.

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