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Afternoon Data Analyst R Programming Jobs in Lindenhurst, NY

Splice

Staff Data Analyst (Remote US)

New York, NY · Remote

Basic proficiency in scripting languages such as Python or R * Previous experience working within a ... Knowledge of sound engineering, musical foundations or experience working in the music industry

Tachyon Technologies

Data Analyst

New York, NY · On-site

$65 - $75/hr

Data Analyst Location: NYC, NY Duration: Longterm Description * Expertise on SQL (Snowflake or any ... programming will be added advantage(To work with Data Eng Team on roll-up Tables) Tachyon ...

Lyft

Data Analyst, Operations Planning

New York, NY · On-site

Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance * Develop frameworks and ...

Lyft

Data Analyst, Operations Planning

New York, NY · On-site

Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance * Develop frameworks and ...

Brex

Data Analyst II

New York, NY · On-site

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Tremendous

Senior Data Analyst

New York, NY · Remote

$175K - $225K/yr

About the role We are hiring an experienced data analyst to partner with our internal stakeholders ... Experience in Python or R. What's cool about the role * Competitive pay and equity. Base salary for ...

Tommy John

Data Analyst, Strategy & Analytics

New York, NY · On-site

$110K - $120K/yr

POSITION OVERVIEW Tommy John is seeking a curious, proactive, and highly organized Data Analyst to ... Experience using Python or R for analysis, automation, or statistical modeling. * Experience ...

Capgemini

Senior Data Analyst

New York, NY · On-site

$85K - $95K/yr

Experience with Python or R for data analysis and statistical modeling. * Understanding of data ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

FalconX

Senior Data Analyst

New York, NY · On-site

$128K - $162K/yr

The Finance Transformation team sits within Finance and is responsible for business process engineering, technology enablement, and data analytics that drive efficiency across the function. We're ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Lindenhurst, NY

Afternoon Data Analyst R Programming information

See Lindenhurst, NY salary details

$35K

$85.2K

$140.1K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Lindenhurst, NY is $85,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Lindenhurst, NY look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Lindenhurst, NY are:

What cities near Lindenhurst, NY are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Lindenhurst, NY with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Lindenhurst, NY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $85,151 per year, or $40.9 per hour.

Staff Data Analyst (Remote US)

Splice

New York, NY • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

WHO WE ARE:  

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

HOW WE WORK:  

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us.
Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.
When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Staff Data Analyst 
LOCATION: REMOTE

THE ROLE: As a Staff Data Analyst, you will play a central role in shaping the future of Splice by ensuring that decisions about what we build and how we build it are guided by robust and accurate data insights. You will join the existing analytics team and work as a key collaborator as we continue to modernize our data stack in an AI-first world. This is a highly-visible cross-functional role that can alternate between working with executive leadership and specific engineering teams. 

TEAM INFORMATION: Our centralized analytics team supports Splice wherever data is present. This includes (but is not limited to) product analytics, marketing analytics and business operations.

WHAT YOU'LL DO:

  • Data Modeling: Build and maintain data models which drive valuable insights and support critical day to day workflows.
  • XFN Partnerships: Translate complex questions into actionable metrics company-wide (across Product, Marketing, Audio Development and others)
  • Activation & Growth Analytics: Partner with Product and Marketing to analyze user activation funnels, identify drop-off points, and design/interpret A/B tests.
  • Dashboards & Self-Serve: Create and manage self-serve reporting tools and dashboards via Omni to track growth KPIs and overall product health.
  • Analytics Infrastructure: Optimize and track use cases for different components of our data stack, including Omni, Hex and Segment. Drive adoption and propose alternative solutions where needed
  • Ad Hoc Insights: Deliver data-driven insights to support leadership, product, and marketing stakeholders.

JOB REQUIREMENTS:

  • 10+ years of experience in Data Analytics or a similar roles
  • Demonstrated experience with BI platforms (e.g. Omni, Looker, Tableau, PowerBI, Qlik) including semantic layer
  • Strong knowledge of statistical concepts including trend analysis, hypothesis testing, and confidence intervals.
  • Advanced SQL ability: Must be comfortable with advanced concepts including CTEs, ELT vs ETL and managing query costs across large datasets.
  • Basic proficiency in scripting languages such as Python or R
  • Previous experience working within a product or marketing organization, with a good grasp of product development and go-to-market dynamics.
  • Experience with enterprise data solutions across product analytics, data ingestion and reporting and contributing via git. We use Segment, Amplitude, LaunchDarkly, Omni, GitHub, BigQuery, SQLMesh, and Fivetran – among others

NICE TO HAVES:

  • An understanding of Bayesian Inference
  • Experience building and managing a data team roadmap 
  • Demonstrated experience in setting company-level KPIs 
  • Knowledge of sound engineering, musical foundations or experience working in the music industry 
  • Examples of using AI to improve day-to-day analytics team workflows 
  • Understanding of marketing analytics toolkits and workflows: deploying tracking pixels, managing/understanding ad spend, reconciling google analytics and internal data 
  • Experience working with Data Engineering teams to drive governance 

SPLICE BENEFITS: 

  • Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
  • Time Off: Unlimited PTO to recharge and thrive.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Retirement Savings: 401(k) plan with immediate vesting and company match.
  • Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
  • Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
  • Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
  • Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.

The national pay range for this role is $160,272 - $200,340. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer 
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.