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Afternoon Data Analyst R Programming Jobs in South Dakota

Bankeasy

Data Analyst III

Sioux Falls, SD · On-site

Knowledge of R or Python is preferred. Principal Responsibilities: * Design and develop optimized ... Be knowledgeable of Database, Data Engineering, DevOps, and API concepts. Work closely with ...

Bankeasy

Data Analyst III

Brookings, SD · On-site

Knowledge of R or Python is preferred. Principal Responsibilities: * Design and develop optimized ... Be knowledgeable of Database, Data Engineering, DevOps, and API concepts. Work closely with ...

Sanford Health

Quality Data Analyst

Sioux Falls, SD · On-site

$24/hr

No Department Details The Data Engineering team is a collaborative, fun and dynamic group. We ... Learn, understand and analyze process workflows within various functional areas to best understand ...

Sanford Health

Quality Data Analyst

Sioux Falls, SD · On-site

$24/hr

No Department Details The Data Engineering team is a collaborative, fun and dynamic group. We ... Learn, understand and analyze process workflows within various functional areas to best understand ...

TEKsystems

Data Analyst/Business Analyst

Sioux Falls, SD · On-site

$65K - $90K/yr

Experience with Python, R, or a similar programming language used for data analysis. * Experience using Tableau, Power BI, or another data visualization platform. * Strong analytical, problem-solving ...

TEKsystems

Data Analyst/Business Analyst

Sioux Falls, SD

$65K - $90K/yr

Experience with Python, R, or a similar programming language used for data analysis. * Experience using Tableau, Power BI, or another data visualization platform. * Strong analytical, problem-solving ...

TEKsystems

Data Analyst/Business Analyst

Sioux Falls, SD

$65K - $90K/yr

Experience with Python, R, or a similar programming language used for data analysis. * Experience using Tableau, Power BI, or another data visualization platform. * Strong analytical, problem-solving ...

Citi

Specialized Analytics Senior Analyst

Sioux Falls, SD · On-site

$85K - $107K/yr

Proficiency in programming languages such as Python, R, or SQL for data manipulation, feature ... Analytics Skills: Strong ability to conduct exploratory data analysis (EDA) and identify actionable ...

Top Talent Connections

Business Analyst

Sioux Falls, SD · Hybrid

$65K - $90K/yr

Familiarity with Python, R, or similar analytical programming languages; SQL knowledge or willingness to learn. Experience with or exposure to data visualization tools such as Tableau or Microsoft ...

Omnitech, Inc.

Data Engineer

Sioux Falls, SD · On-site

$110K - $132K/yr

Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally ... Knowledge of Semantic models and Data Analysis Expressions (DAX) * Experience with Big Data ...

Omnitech Inc

Data Engineer

Sioux Falls, SD · On-site

$110K - $132K/yr

Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally ... Knowledge of Semantic models and Data Analysis Expressions (DAX) * Experience with Big Data ...

Omnitech Inc

Data Engineer

Sioux Falls, SD · On-site

$110K - $132K/yr

Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally ... Knowledge of Semantic models and Data Analysis Expressions (DAX) * Experience with Big Data ...

Stryker

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

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Afternoon Data Analyst R Programming information

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 are popular job titles related to Afternoon Data Analyst R Programming jobs in South Dakota?

For Afternoon Data Analyst R Programming jobs in South Dakota, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in South Dakota look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in South Dakota are:

What cities in South Dakota are hiring for Afternoon Data Analyst R Programming jobs?

Cities in South Dakota with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in South Dakota as of July 2026, with employment types broken down into 1% As Needed, 53% Full Time, 37% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Data Analyst III

Sioux Falls, SD • On-site

Bankeasy
See more jobs at Bankeasyexternal

Full-time

Posted 29 days ago

Key responsibilities

  • Design and develop enterprise data analytics solutions to identify patterns, trends, and root causes, and improve data quality, consistency, and accessibility.

  • Lead data engagement initiatives by creating dynamic reports and dashboards, collaborating with technology teams to design and implement data storage and access solutions.

  • Build and maintain relationships with business line managers to understand objectives, derive requirements, and support data-informed decision-making.

Job description

Job Description:

This person will design and develop advanced enterprise-scale data analytics solutions to identify patterns and trends, analyze root cause, and improve overall data quality, consistency, and accessibility. They will build solutions using current and emerging techniques to deliver client insights and perspectives to business lines enabling data-informed decisions as well as increase efficiencies and innovation. This individual will consult directly with business lines to learn business objectives, understand key results, and derive requirements needed to develop solutions that will deliver positive business outcomes.

Qualifications: This person should have a bachelor's, plus six years of previous related work experience or the equivalent. Experience building solutions using advanced analytics and working with financial data is required. This candidate must be research oriented, possess strong analytical and problem-solving skills, be able to effectively communicate the value of company data to leaders at all levels, and have experience leading the development of solutions while working with multiple contributors. This person must have extensive experience working with tabular data models, using Microsoft SQL Server, writing T-SQL queries and DAX, performing data visualizations with Microsoft's BI stack, and understanding relational and non-relational databases. Microsoft Power BI Data Analyst Associate (PL-300) certification is required and must be obtained within six months of hiring. Knowledge of R or Python is preferred.

Principal Responsibilities:

  • Design and develop optimized enterprise data analytics solutions for client, market, product, and operational functions that deliver insights to generate data-informed decisions and actions. Develop and use tabular models and continually improve analytics solutions, models, and strategies to provide outcome-based solutions, root cause analysis, and data analytics reporting and visualizations.

  • Lead Data Engagement initiatives to make information accessible through dynamic reports and dashboards driven by universal tabular models. Design and develop tabular models through collaboration with technology team members. Ensure relevant data and analytics are available to meet initiatives by helping design and implement the storage and access of data.

  • Build and manage relationships with business line managers to understand business objectives. Partner with stakeholders to derive requirements, scope data engagement solutions, and help drive data-informed decisions and results. Advise on data best practices, improve automation of insights, actions, decisions, and increase efficiencies and competencies with FBT technical capabilities.

  • Provide technical leadership to technology team members working on data analytics projects and deliverables. Be knowledgeable of Database, Data Engineering, DevOps, and API concepts. Work closely with Technology teams to align projects and support the strategic direction of the organization.

  • Support data governance, data literacy, and data stewardship initiatives established by the Data Governance Committee to improve data integrity, usability, and access across the organization. Lead data governance initiatives and key results on behalf of Data Engagement Team as assigned.

  • Build statistical and quantitative analysis to identify trends, patterns, and correlations that can be used to promote better business decisions.

  • Maintain knowledge of innovative tools and resources to improve data strategy and governance. Remain on top of industry best practice and know what system and business process data comes from and remain current on changes within the data platform, data models, and systems used across the bank.

  • Act in accordance with FBT policies and procedures as set forth in the employee handbook.

  • Adhere to compliance procedures and attend required compliance training.

Compensation Grade

Salary Grade 7

First Bank & Trust is an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran. Read our completeEqual Employment Opportunity Policy Statement. Applicants who would like to request reasonable accommodation to the application or interview process should call Human Resources at 800.843.1552 or emailhr@bankeasy.com.

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