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Afternoon Data Analyst R Programming Jobs in Riverside, CA

Restaurant365

Principal Data Analyst - GTM

Irvine, CA · On-site +1

$116K - $174K/yr

As the Principal Data Analyst for Customer Success (CS), you will be the strategic engine behind ... Experience with Python or R for statistical analysis is a plus. * Business Acumen: Deep ...

Canopy A&D

ERP Data Analyst

Riverside, CA · On-site

$150K - $175K/yr

The ERP Data Analyst supports and optimizes the Proshop ND -> Epicor ERP system migration within an ... Partner cross-functionally with Manufacturing, Supply Chain, Finance, Engineering, and Quality ...

CACI

Data Analyst with Security Clearance

Riverside, CA

$142.70K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure. * Work closely with cross-functional teams to understand their data needs and provide analytical ...

Canopy A&D

ERP Data Analyst

Riverside, CA

$150K - $175K/yr

Partner cross-functionally with Manufacturing, Supply Chain, Finance, Engineering, and Quality ... Bachelor's degree in Data Analytics, Information Systems, Business, Engineering, or related field ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · On-site

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Pwc

Data Strategy-Manager

Irvine, CA

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Kia America

Data Analytics Manager

Irvine, CA · On-site

Experience with SAS, SQL, Python, R, or another programming language with focus on data analysis. * Experience developing predictive models on time-series data is strongly desired. * Experience ...

Kia America, Inc.

Data Analytics Manager

Irvine, CA

Experience with SAS, SQL, Python, R, or another programming language with focus on data analysis. * Experience developing predictive models on time-series data is strongly desired. * Experience ...

Kia America

Data Analytics Manager

Irvine, CA · On-site

Experience with SAS, SQL, Python, R, or another programming language with focus on data analysis. * Experience developing predictive models on time-series data is strongly desired. * Experience ...

VDart Inc

Azure HDInsight

Orange, CA

$58.75 - $73/hr

... Analytics), Business Intelligence & Infrastructure services. Three-time consecutive winner of Best ... experience in R programming and Azure ML (Must have) Programming languages - Java/Python with ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Riverside, CA

Afternoon Data Analyst R Programming information

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$35.5K

$86.2K

$141.9K

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 Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 Riverside, CA? The most popular types of Data Analyst R Programming jobs in Riverside, CA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Riverside, CA? For Afternoon Data Analyst R Programming jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Riverside, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Riverside, CA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Principal Data Analyst - GTM

Principal Data Analyst - GTM

Restaurant365

Irvine, CA • On-site, Remote

$116K - $174K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365's culture is focused on empowering team members to produce top-notch results while elevating their skills. We're constantly evolving and improving to make sure we are and always will be "Best in Class" ... and we want that for you too!

***This role requires a hybrid work schedule based out of one of our office locations: Austin, TX; Irvine, CA; or Akron, OH. ***
 
As the Principal Data Analyst for Customer Success (CS), you will be the strategic engine behind our data-driven decision-making. You are not just a "data provider", you are a business partner who understands the Go-To-Market (GTM) lifecycle and Customer Success. This role is a critical pillar of the CS Operations team, responsible for transforming raw customer data into actionable strategies that improve retention, identify expansion opportunities, and optimize the cost-to-serve. 
You will operate with a high degree of independence, navigating complex datasets to find the "story" behind the numbers, interpreting trends for executive leadership, and providing proactive recommendations to the business. 
 
How you'll add value:
  • Strategic Insights & Recommendations: Move beyond reporting to provide deep-dive analysis on customer health, churn drivers, and product adoption. Proactively identify risks and opportunities within the CS segment. 
  • GTM Lifecycle Analysis: Partner with CS leadership to define and track forecasting of retention as well as key performance indicators (KPIs) such as NRR (Net Retention Rate), GRR (Gross Retention Rate), and Time-to-Value.  
  • Advanced Data Modeling: Design and maintain data models that support forecasting for the CS pipeline, resource allocation, and customer segmentation. 
  • Operational Partnership: Act as a critical member of the CS Ops team to ensure data integrity across our tech stack (Salesforce, Gainsight, Snowflake, etc.) and translate operational needs into technical requirements. 
  • Independent Project Leadership: Lead end-to-end analytical projects from initial hypothesis to executive presentation. Work independently to solve data gaps and process inefficiencies. 
  • Storytelling with Data: Translate complex technical findings into clear, concise, and compelling narratives for non-technical stakeholders and executive leadership. 
What you'll need to be successful in this role:
  • Total Experience: 10+ years of professional experience in data analytics, business intelligence, or data science. 
  • GTM Expertise: Minimum of 5 years Go-To-Market (GTM) Analyst Operations (Sales, Marketing, or Customer Success). 
  • Analytical Rigor: Expert-level SQL skills and proficiency in data visualization tools (e.g., Domo,Tableau, PowerBI, Qlik). Experience with Python or R for statistical analysis is a plus. 
  • Business Acumen: Deep understanding of SaaS business models, customer lifecycles, and the mechanics of recurring revenue. 
  • Interpretive Mindset: A proven track record of not just delivering a dashboard, but explaining why the data looks the way it does and what the business should do next. 
  • Independent Operator: Demonstrated ability to manage multiple high-priority projects simultaneously with minimal supervision. 
  • Customer Success Background: Direct experience in or supporting a Customer Success organization. 
  • Tooling: Experience with CS-specific platforms (e.g., Gainsight, Totango, ChurnZero),Gong, and Salesforce CRM. 
  • AI: Must have high level of experience and examples using AI tools to help interpret, forecast and ideally predict what the data shows 
  • Strategy Consulting: Prior experience in strategy consulting or a similar high-stakes advisory role is highly valued. 
R365 Team Member Benefits & Compensation
  • This position has a salary range of $116,000 - $174,000. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices.
  • Comprehensive medical benefits, 100% paid for employee
  • 401k + matching
  • Equity Option Grant
  • Unlimited PTO + Company holidays
  • Wellness initiatives
 
#BI-Remote
$116,000 - $174,000 a year
DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer.
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