ZipRecruiter

Log In

2

Remote Data Analyst R Programming Jobs in Carmel, IN

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Berkley

Stop Loss Claims Analyst

Indianapolis, IN · Remote

$70K - $90K/yr

R. Berkley Corporation , is one of the largest and best managed property/casualty insurers in the ... This position can either be fully remote (if not within a commutable distance to the office) or ...

Berkley

Stop Loss Claims Analyst

Indianapolis, IN · Remote

$70K - $90K/yr

R. Berkley Corporation , is one of the largest and best managed property/casualty insurers in the ... This position can either be fully remote (if not within a commutable distance to the office) or ...

next page

Showing results 1-20

All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Carmel, IN

Remote Data Analyst R Programming information

See Carmel, IN salary details

$33.9K

$82.5K

$135.8K

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

As of Jul 15, 2026, the average yearly pay for remote data analyst r programming in Carmel, IN is $82,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Carmel, IN? The most popular types of Data Analyst R Programming jobs in Carmel, IN are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Carmel, IN? For Remote Data Analyst R Programming jobs in Carmel, IN, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Carmel, IN look for? The top searched job categories for Remote Data Analyst R Programming jobs in Carmel, IN are:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Carmel, IN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $82,512 per year, or $39.7 per hour.
Sr. Data Engineer

Sr. Data Engineer

Kobie Marketing

Indianapolis, IN • Remote

$101K - $137K/yr

Full-time

Posted 5 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

At Kobie, we turn our client's loyalty data into actionable intelligence that drives enterprise value. Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio of enterprise loyalty program clients across some of the most recognized brands in the world.

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts to own production data pipelines, lead client implementations, and help us evolve our data architecture to support event-driven and AI-powered workflows, all within a multi-hundred terabyte Snowflake environment where the data problems are as complex as the brands behind them.

How you will make an impact

  • Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.
  • Translate client loyalty program requirements into production-ready data warehouse structures - from source system analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables and extracts that downstream reporting and client services teams depend on.
  • Diagnosing and resolve data pipeline failures quickly enough that clients and internal stakeholders rarely notice they happened by bringing the debugging fluency and Snowflake depth to contain impact and prevent recurrence.
  • Build a data architecture that can absorb change by redesigning Kobie's data mart to support an incoming event-driven, domain-driven application layer without breaking the operational foundation already in production.
  • Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building the models, but by building the reliable, well-governed platform that Kobie's innovation team needs to produce them.
  • Leave every pipeline more trustworthy than you found it, through automated testing, audit logging, CI/CD discipline, and documentation that makes the platform easier for the next engineer to own.

What you need to be successful

Required

  • 6+ years of Data Engineering experience designing and operating production grade data pipelines.
  • 3+ years of hands-on Snowflake experience as a primary data warehousing solution, with deep fluency across data sharing, data clean rooms, marketplace, and Snowpark.
  • Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting.
  • Demonstrated CI/CD experience using GitHub and GitHub Actions
  • Experience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar)
  • Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and transaction fact tables.
  • Experience integrating a wide range of data sources, including APIs, messaging systems, and streaming platforms.
  • Solid grounding in OLTP, Data Vault, and data warehouse architecture patterns, with the ability to assess source systems and translate business requirements into dimensional models.
  • Experience designing event-driven architectures and understanding how they shape data pipeline design.
  • Familiarity with domain-driven design concepts and how application architecture changes flow downstream into the warehouse.
  • Cloud experience with Azure and/or AWS.
  • Comfort working independently across concurrent projects in an Agile environment, with strong communication to non-technical data stakeholders.

Strongly Preferred

  • Prior experience in a terabyte-scale, multi-client data warehouse environment, you've worked at this kind of scale before and know what it demands.
  • Experience with data replication tool Qlik Replicate, preferred
  • Familiarity with Apache NiFi or comparable data flow orchestration tools, preferred
  • Exposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine learning use cases.
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply