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Afternoon Data Analyst R Programming Jobs in Alabama

This role utilizes various analytical and programming skills to develop BI solutions and supports ... Python, R, or other statistics platform preferred. • Professional presence with excellent ...

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis ...

Data Engineer/Analyst

Huntsville, AL · On-site

$100K - $130K/yr

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis ...

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis ...

The Network Data Analyst will act as the primary point of contact for managing and optimizing data ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

Data Analyst I Location: Arcadia Data Center, Auburn, Alabama Client- Southern Company Services ... Work closely with network engineers and IT staff to support smooth data center operations.

Apply Early

HR Data Analyst Location: Huntsville, AL Duration: 6 Months (For the right individual could be temp ... R is a plus. • Excellent written, visual, and verbal communication abilities. • Strong ...

ServiceNow Data Analyst

AL · On-site +1

$80K - $100K/yr

Position Title: ServiceNow Data Analyst Position Type: Technical Clearance: n/a Location ... Have a solid understanding of relational databases and basic programming skills * Demonstrate ...

Partners with Quality Engineering, Operations, and Supply Chain to translate data insights into ... Strong analytical skills with the ability to interpret complex data sets and translate them into ...

Partners with Quality Engineering, Operations, and Supply Chain to translate data insights into ... Strong analytical skills with the ability to interpret complex data sets and translate them into ...

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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 Alabama? The most popular types of Data Analyst R Programming jobs in Alabama are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Alabama? For Afternoon Data Analyst R Programming jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Afternoon Data Analyst R Programming jobs? Cities in Alabama with the most Afternoon Data Analyst R Programming job openings:
BI Data Analyst

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Genuine Parts Company rating

6.8

Company rating: 6.8 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

225th of 351 rated retail wholesalers


Job description

SUMMARY:
The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to provide insight into data driven decision-making
JOB DUTIES:
• Builds should-cost models for key categories based on commodity indices, labor, transportation, and overheads
• Monitors raw material and input costs (e.g., steel, rubber, oil) and supports supplier price increase challenge logic
• Manages the Procurement Gains Tracker, ensuring accurate documentation and alignment of savings, cost avoidance, and rebate realization by wave and by category
• Supports Category Managers in building strategic fact packs including market sizing, supplier concentration, pricing benchmarks, and share of wallet
• Conducts variance analysis to identify margin leakage, supplier underperformance, or pricing gaps
• Builds executive-level dashboards and bridges for category reviews and transformation updates
• Responsible for end-to-end design and maintenance of BI tool data sets, data models, reports, dashboards and visualizations in support of all department functions,
• Designs, develops and optimizes data models for the business unit and other departments.
• Routinely meets with various stakeholders to understand their data needs. Develops solutions and processes to fulfill requirements. This typically includes BI dashboards, Python programs, or Excel/VBA reports.
• Enhances business insights and decision making with robust, intuitive data visualizations.
• Leverages transactional data from enterprise resource planning (ERP) applications to extract, transform and model into reporting and analytics solutions.
• Coordinates incremental creation and structure of QVD files from disparate data sources.
• Identifies the most impactful layout and presentation of key performance metrics in easy to use self-service dashboards.
• Partners with the IT team to develop security standards for BI applications and usage of QVD files containing sensitive financial information.
• Partners and develops relationships with cross-functional leaders to improve processes and documentation, and recommends changes that lead to the adoption of world class processes.
• Proactively seeks out opportunities to increase business knowledge and create visibility within the organization.
• Generates new ideas to streamline processes and collaborates with other departments to create operational efficiencies.
• Establishes and implements best practices for data modeling & visualization. Ensures data accuracy.
• Performs other duties as assigned.
EDUCATION & EXPERIENCE:
Typically requires a bachelor's degree in information systems and three (3) to five (5) years of related work experience or an equivalent combination.
KNOWLEDGE, SKILLS, ABILITIES:
• Proficient with Microsoft Office Suite.
• Advanced SQL and experience with a variety of relational databases.
• Strong analytical skills and the ability to propose positive business solutions.
• Reliability, organization and attention to detail.
• Excellent written and oral communication, including presentation skills.
• Knowledge of database design techniques and advanced SQL skills required.
• Proficiency in Python, R, or other statistics platform preferred.
• Professional presence with excellent interpersonal skills, including the ability to interact with management at corporate and department levels.
• Forward-thinking in implementing tools and techniques to improve analytics, driving better business decisions. Self-motivated and able to independently manage multiple responsibilities concurrently
• Ability to collaborate within a team, managing team dynamics and relationships.
• Strong partnership skills, across all levels of management, with ability to influence and challenge decisions and processes.
• Driver of results, developer and influencer of peers.
LICENSES & CERTIFICATIONS: BI tool certification preferred.
COMPANY INFORMATION:
Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay.
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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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