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Afternoon Data Analyst R Programming Jobs in Cordova, TN

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Business Data Analyst I

Olive Branch, MS · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst

Southaven, MS · On-site

$27 - $31/hr

Bachelor's Degree in Supply Chain, Business Analytics, Operations, Engineering, Information Systems, Data Science, or a related field. Experience * 2 to 4 years of experience in business analytics ...

Proficiency in SQL, Python or R * Experience with VoC and survey platforms (e.g., Qualtrics ... analyzing data, viewing computer screens or reading extensively. Incumbent will be subject to:

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 ...

... other programming languages (i.e.,R, Python,). * Advanced pattern recognition and predictive ... Implement analytics for smarter business processes. * Stay Updated:Keep up with industry ...

... other programming languages (i.e.,R, Python,). * Advanced pattern recognition and predictive ... analysis, time series modeling, etc. * A strong data skill set is also needed-- like SQL ...

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Afternoon Data Analyst R Programming information

See Cordova, TN salary details

$29.7K

$72.2K

$118.9K

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

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Cordova, TN is $72,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $84,800.00 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 cities near Cordova, TN are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Cordova, TN with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Cordova, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,223 per year, or $34.7 per hour.

Data Analyst

Memphis, TN • On-site

Stifel
Commercial Banking • 201 - 500 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let’s talk about how you can find your place here at Stifel, where success meets success.


The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data driven initiatives and developments. This position is expected to work with business users as well as product management and development teams to further define requirements, analyze pertinent underlying data to ensure proper use and then translate those requirements into queries that will provide the objective data sets. The Data Analyst will also act as a subject matter expert for assigned raw data sets as well as maintain documentation surrounding them.


  • Develop an understanding of the Stifel business & data models, and use that knowledge to optimize the relationship between the company and the customer.
  • Field inbound requests from business users and product management and refine requirements until a full understanding is reached on the data being requested.
  • Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs related to firm initiatives and developments.
  • Perform due diligence on data produced to ensure quality and accuracy.
  • Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts.
  • Proactively identify and recommend process and practice improvement within the team.
  • Maintain strong communication with stakeholders, following up as needed to ensure all requests are being actively addressed and/or status is being communicated.
  • Triage requests to focus first on more time-sensitive items while maintaining awareness of overall team bandwidth and workload.
  • Gain and utilize a strong understanding of company applications and business practices in the context of how they affect the firm's data.
  • Perform in-depth analysis and act as subject matter expert for assigned raw data sets.

  • Solid understanding of financial industry terminology and concepts.
  • Knowledge of financial services, specifically wealth management.
  • Solid understanding of basic concepts of Microsoft T-SQL and database design.
  • Ability to leverage SQL to create queries which model and/or aggregate large complex datasets.
  • Leverage these skills to grow abilities in developing normalized data sets for enterprise wide business intelligence purposes.
  • Strong analytical skills focused on using logic and reasoning to identify complex relationships within a data structure as well as to research and discuss recommended uses.

  • Minimum Required: Bachelor's degree in Information Technology, Computer Science or Business Administration or equivalent work experience
  • Minimum Required: 1-3 years' of investment, financial or technical experience

  • Minimum Required: None.

  • Proficient in Microsoft Excel, Word, PowerPoint, Outlook.
  • Experience with ticketing systems.
  • Experience with office productivity, reporting, and technical documentation software.
  • Exposure to systems monitoring tools and logging tools.
  • Understands client/server computing architecture, user interfaces and application programing interfaces.
  • Understand concepts related to relational databases.
  • Ability to create intermediate SQL queries.
  • Experience with AWS and Python is preferred.

Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let’s talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.


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