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Afternoon Data Analyst R Programming Jobs in Missouri

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

Walmart

Data Analyst II

Cassville, MO · On-site

$70K - $130K/yr

Proficiency in data visualization tools such as Tableau, PowerBI, Python libraries, or R to create ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

Walmart

Data Analyst II

Anderson, MO · On-site

$70K - $130K/yr

Proficiency in data visualization tools such as Tableau, PowerBI, Python libraries, or R to create ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

Cliftonlarsonallen

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Walmart

Data Analyst II

Noel, MO · On-site

$70K - $130K/yr

Proficiency in data visualization tools such as Tableau, PowerBI, Python libraries, or R to create ... Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ...

Schuber Mitchell Homes LLC

Data Analyst

Joplin, MO · On-site

Position Summary The Data Analyst collaborates with business users to create report specifications ... Curiosity to learn and explore new technologies or programming languages to enhance skills and ...

Stifel

Data Analyst

Saint Louis, MO

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

New

Stifel

Data Analyst

Saint Louis, MO

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

New

Stifel

Data Analyst

Saint Louis, MO · On-site

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

New

Jobgether

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline is preferred. * Strong analytical mindset ...

Jobgether

Partner with Data Engineering teams to maintain data quality, improve governance, and establish ... Preferred experience with Python or R for statistical analysis, automation, or predictive modeling.

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ... Bachelor\'s degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ... Bachelor's degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

Bring energy, effort, and optimism every day Skills & Qualifications * ntermediate SQL & Python/R ... Bachelor\'s degree in Math, Engineering, Statistics, Business Intelligence or other technical field.

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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 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 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 the most commonly searched types of Data Analyst R Programming jobs in Missouri? The most popular types of Data Analyst R Programming jobs in Missouri are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Missouri? For Afternoon Data Analyst R Programming jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Missouri look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Missouri are:
What cities in Missouri are hiring for Afternoon Data Analyst R Programming jobs? Cities in Missouri with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Posted 28 days ago

Job description

Not eligible for C2C
Candidates must be legally authorized to work in the US without sponsorship.
Must reside in the US
Ever dream of doing work that makes a difference? Want to join a growing company? Here it is! We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a company that has a masterful, mature history that operates as best-in-class.
We are seeking a skilled Data Analyst to design and develop dynamic, actionable dashboards by integrating data from diverse ERP systems. The role involves extracting, transforming, and consolidating data from multiple sources, ensuring accuracy and consistency in reporting. The ideal candidate will excel in creating insightful visualizations that drive business decisions while maintaining a strong focus on data integrity and performance optimization. Collaboration with cross-functional teams to understand and translate business requirements into impactful dashboards is essential.
The Data Analyst will work to support our St. Louis region.
As a Data Analyst, you will:
  • Extract, transform, and load (ETL) data from multiple SQL tables into Power BI.
  • Design and build interactive dashboards and reports tailored to financial performance metrics and trends.
  • Optimize SQL queries for performance in Power BI data models.
  • Ensure data integrity and consistency during integration.
  • Collaborate with stakeholders to understand reporting requirements including, but not limited to dynamic KPI dashboards and variance analysis reports.
  • Connect Power BI to Epicor and Microsoft Dynamics 365 for seamless data extraction and visualization.
  • Collaborate with IT to ensure proper data flows between systems and Power BI.
  • Troubleshoot and optimize ERP data connections for efficiency and reliability.
  • Build robust data models in Power BI to analyze financial datasets, including budgeting, forecasting, pricing and profitability analysis.
  • Use advanced DAX formulas and Power Query to derive insights from complex ERP datasets.
  • Ensure data integrity by reconciling Power BI outputs with Epicor and Microsoft Dynamics 365 records.
  • Partner with finance teams to understand business requirements and deliver custom reporting solutions.
  • Work with ERP administrators to enhance the usability and functionality of Epicor and Dynamics 365 data for reporting purposes.
  • Automate routine financial reporting by leveraging Power BI and ERP integration capabilities.
  • Identify and implement process improvements to streamline financial operations and reporting cycles.
  • Train finance and operational teams on utilizing Power BI dashboards and ERP-integrated reports.
  • Act as a subject matter expert for Power BI and ERP reporting capabilities within the organization.
About You:
  • Bachelor's degree in Finance, Information Systems, Data Analytics, or a related field.
  • 3-5 years of experience in financial analysis or business intelligence.
  • Strong expertise in Power BI, including DAX, Power Query, SQL skills (query optimization, joins, stored procedures) and data modeling.
  • Ability to translate business requirements into actionable dashboards.
  • Advanced knowledge of SQL for data extraction and manipulation.
  • Familiarity with financial processes, including P&L analysis, budgeting, and forecasting.
  • Excellent communication skills to explain complex data insights to non-technical stakeholders.
  • Strong problem-solving and critical-thinking abilities.
  • Knowledge of Python/R for data manipulation (optional but beneficial).
  • Experience with Power Query or other ETL tools.
  • Familiarity with Azure or cloud-based data services (if applicable).
  • Familiarity with Epicor and/or Dynamics 365.

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