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Afternoon Data Analyst R Programming Jobs in Austin, TX

... R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models. Pay Transparency: A reasonable ...

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

... R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions * 3+ years of experience using cyber security cloud platforms (Google ...

... R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions * 3+ years of experience using cyber security cloud platforms (Google ...

SciPlay is a leading developer and publisher of digital games on mobile and web platforms ... Python, R, scikit-learn, TensorFlow, etc. * Solid understanding of data modeling, warehousing, and ...

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Afternoon Data Analyst R Programming information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

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

As of May 30, 2026, the average yearly pay for afternoon data analyst r programming in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 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 Austin, TX? The most popular types of Data Analyst R Programming jobs in Austin, TX are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Austin, TX? For Afternoon Data Analyst R Programming jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Austin, TX look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Austin, TX are:
What cities near Austin, TX are hiring for Afternoon Data Analyst R Programming jobs? Cities near Austin, TX with the most Afternoon Data Analyst R Programming job openings:
Senior Associate - Data Analyst

$52K - $91K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Description

We are currently seekinga senior associate dataanalystto help us collect, transform and extract meaning from dataforthe Global Technology Services(GTS)Control Towerteam at State Street.The positionperforms a wide range of activitieswithexperts fromGTS, business intelligence,business analysis,data engineering,process engineering,governance, anddata analyststo collaboratively solvea widearrayofcomplextechnicalproblems.

About the GTSControl Towerteam

TheGTSControl Tower teamis an exciting and growing areaof State Streetwith unique insight into the whole spectrum of ourdata,metrics, and dashboardsat State Street.This name change reflects the work we are actively doing across GTS: integrating dependency management, business analysis, process design, and governance to transform data into action and keep remediation effortsflying smoothly.

The GTS Control TowerMission

Our core focus is ontransforming data into actionable insights.Our goal is to enable GTS Leadershipto accelerate progress against key strategic initiatives across GTS and to drive results.

CoreResponsibilities

  • Report & Dashboard Development:Design, develop, and maintain highquality,accessibleinteractive Power BI dashboards and reports that clearly communicate key performance indicators (KPIs) and business insights.

  • Data Modeling & Transformation:Build and optimize semantic data models, including relationships, calculated columns, and measures using DAX. Perform data extraction, transformation, and loading (ETL) usingPython andPower Query (M).

  • Data Source Integration:Connect, consolidate, and manage data from multiple sources such as SQL databases, Azure services, Excel, and other enterprise systems into reliable, wellstructured datasets.

  • Performance Optimization:Tune data modelsandDAX calculations to ensure optimal performance, scalability, and user experience.

  • Security & Platform Administration:Implement and maintain rowlevel security (RLS), manage Power BI workspaces and apps, and support capacity and governance best practices within the Power BI Service.

  • Stakeholder Collaboration:Partner with business stakeholders to gather requirements, translate business needs into analytical solutions, and deliver actionable, decisionready insights.

  • Documentation & Standards:Create and maintain clear documentation for data models, transformation logic, report definitions, and operational procedures to support transparency and longterm maintainability.

WhatWeValue

  • Willingness to learn and develop new skills, embracing challenges and continuous improvement

  • Strong work ethic, focus on achieving goals, and delivering measurable results

  • Desire for creative thinking, problem-solving, and proposing new ideas to improve processes or products

  • People who thrivein a collaborative team environment

Requirements

  • An online portfoliowith exampleswith nonconfidential datathat demonstrates youranalysis skills

  • Someexperience withMicrosoft Power BI,DAX,Power Query,M, ETL,Python,PySpark,SQL

  • ABachelor'sdegree in adata analytics,data science,computer scienceor equivalent experience

Salary Range:

$52,000 - $91,000 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.