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Entry Level Data Analyst R Programming Jobs in Austin, TX

... engineering. Required Skills * Expert-level SQL skills including: o Complex joins o CTEs o Window ... Strong experience with: o Data discovery and profiling o Data quality analysis o Root cause ...

... engineering. Required Skills * · Expert-level SQL skills including: o Complex joins o CTEs o ... o Analytical query design * · Strong experience with: o Data discovery and profiling o Data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

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Entry Level Data Analyst R Programming information

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$13

$32

$61

How much do entry level data analyst r programming jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level data analyst r programming in Austin, TX is $32.64, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

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

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
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 Entry Level Data Analyst R Programming jobs in Austin, TX? For Entry Level Data Analyst R Programming jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Austin, TX look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Data Analyst R Programming jobs? Cities near Austin, TX with the most Entry Level Data Analyst R Programming job openings:
Infographic showing various Entry Level Data Analyst R Programming job openings in Austin, TX as of June 2026, with employment types broken down into 2% As Needed, 35% Full Time, 56% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,885 per year, or $32.6 per hour.

Data Analyst - Wealth Management

Qode

Austin, TX • On-site

Full-time

Posted 16 days ago


Job description

Role Overview
We are seeking a highly skilled Data Analyst - Wealth Management to join our growing team in Austin, TX. This is a discovery- and analysis-driven role for a curious, detail-oriented professional who thrives on understanding complex financial data, translating business needs into clear data logic, and surfacing insights that drive decisions.
The ideal candidate excels at writing sophisticated SQL queries, analysing and profiling large datasets, defining business logic, and validating data across wealth management systems. You will partner closely with investment teams, operations, technology, and business stakeholders to understand functional requirements and ensure data is accurate, consistent, and fit for purpose.
Hands-on experience with Python and Databricks is a plus, but this role is fundamentally about analytical depth and business understanding rather than pipeline engineering.
Required Skills
  • Expert-level SQL skills including:

o Complex joins
o CTEs
o Window functions
o Subqueries
o Analytical query design
  • Strong experience with:

o Data discovery and profiling
o Data quality analysis
o Root cause investigation
o Functional requirements gathering
  • Hands-on experience validating ETL/Data Pipeline outputs
  • Strong understanding of:

o Wealth Management data
o Portfolio holdings
o AUM
o Performance returns
o Fees and transactions
  • Experience with Python for data analysis (Pandas, NumPy)
  • Familiarity with Databricks, Spark SQL, or cloud-based data platforms
  • Excellent communication and stakeholder management skills
  • Ability to translate business requirements into precise data logic and acceptance criteria

Preferred Qualifications
  • Experience within Wealth Management, Asset Management, or Financial Services
  • Exposure to custodian feeds.