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Afternoon Data Analyst R Programming Jobs in Nevada

Pwc

Data Strategy-Manager

Las Vegas, NV

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Amgen

Biostatistical Prograrmming Manager

Las Vegas, NV · On-site

... R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as Python preferred Hands-on ...

Pwc

Data Governance- Manager

Las Vegas, NV

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Wynn Resorts

Sr. Engineer - Data Analytics

Las Vegas, NV · On-site

$109K - $131K/yr

Wynn Resorts seeks to create a system of data, analysis and actions to better attract guests and ... Expert level experience with programming languages like SQL, Python, Spark etc. * Proven abilities ...

SynergisticIT

Python/R developer - Remote

Reno, NV · On-site

$115K - $145K/yr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Amperesand

Process Engineer

Reno, NV

Role Summary We are seeking a skilled and hands-on Process Engineer to join our Production ... Analysis (MSA) and gauge R&R studies * Experience developing or improving HMIs or factory data ...

DR Horton

Land Acquisition Analyst

Henderson, NV · On-site

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Identify land leads through contacting brokers and engineers, reviewing development websites ...

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

Data Analyst (Business Process Analyst)

NovaLink Solutions

Carson City, NV • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Client Name: Carson City, NV - IT - Nevada Office of Project Management - Governor's Finance Office

Client Job ID: 159718

Job Opening title: Business Process Analyst

Contract Duration: 12 Months

Job Location: Carson City, Nevada

Job Description:

Job Title: Business Process Analyst (Reporting & Data Integration Liaison)

Candidate with stronger technical experience, specifically SQL reading and development knowledge, that better align with the BPA role requirements.

Position Overview

The Business Process Analyst will serve as the primary liaison between agency subject matter experts (SMEs) and technical report developers to support the design, development, and implementation of reporting solutions within the Advantage 4 system. This role is responsible for eliciting, documenting, and translating business reporting requirements into functional specifications that guide development using Snowflake and Power BI.

The Analyst will ensure that reporting solutions align with business processes, data structures, and decision-making needs, while facilitating collaboration across functional and technical teams.

Key Responsibilities

Stakeholder Engagement & Liaison Support

  • Serve as the primary point of contact between agency SMEs, business users, and report developers
  • Facilitate requirements workshops, interviews, and working sessions to gather reporting needs
  • Translate business needs into clear, actionable functional and technical requirements
  • Manage stakeholder expectations, ensuring alignment between business priorities and technical feasibility

Business Process Analysis

  • Analyze end-to-end business processes within Advantage 4 to identify reporting opportunities and data dependencies
  • Document current-state and future-state workflows, including data flows and reporting touchpoints
  • Identify gaps, inefficiencies, and risks related to reporting and data availability
  • Recommend process improvements to support accurate and efficient reporting

Reporting Requirements & Documentation

  • Develop and maintain detailed requirements documentation, including:
    • Business requirements documents (BRDs)
    • Functional specifications
    • Data mapping and transformation rules
    • Report mockups and wireframes
  • Ensure requirements are complete, testable, and aligned with reporting standards and governance practices

Technical Collaboration (Snowflake & Power BI)

  • Partner with data engineers and developers to support:
    • Data ingestion and transformation in Snowflake
    • Data modeling and semantic layer design
    • Power BI dashboard and report development
  • Clarify requirements, answer developer questions, and support iterative design
  • Validate that technical solutions meet documented requirements

Testing & Validation

  • Develop and execute User Acceptance Testing (UAT) plans and test cases
  • Coordinate testing activities with SMEs and stakeholders
  • Track, document, and resolve defects or discrepancies
  • Ensure reports meet business, data quality, and compliance requirements

Governance & Best Practices

  • Support the establishment and enforcement of reporting standards, naming conventions, and data governance practices
  • Ensure alignment with enterprise reporting frameworks and data policies
  • Maintain traceability between requirements, development, and delivered reports

Required Qualifications

  • Bachelor s degree in Business Administration, Information Systems, Data Analytics, or related field
  • 5+ years of experience as a Business Analyst or Business Process Analyst in a data/reporting environment
  • Demonstrated experience serving as a liaison between business stakeholders and technical teams
  • Strong experience with requirements elicitation, documentation, and process mapping
  • Experience supporting BI/reporting initiatives

Preferred Qualifications

  • Experience working with:
    • Advantage (or similar ERP systems)
    • Snowflake (data warehousing)
    • Power BI (reporting and visualization)
  • Familiarity with data modeling concepts and ETL/ELT processes
  • Experience in public sector or large enterprise environments
  • Knowledge of Agile and/or hybrid SDLC methodologies

Key Competencies

  • Communication: Ability to translate complex technical concepts into business-friendly language
  • Facilitation: Strong workshop facilitation and stakeholder engagement skills
  • Analytical Thinking: Ability to connect business processes with data and reporting requirements
  • Attention to Detail: Ensures accuracy in requirements, data mapping, and validation
  • Collaboration: Works effectively across cross-functional teams

Example Deliverables

  • Business Requirements Document (BRD) for agency reporting needs
  • Data mapping document linking Advantage 4 fields to Snowflake tables
  • Power BI report mockups with defined KPIs and filters
  • UAT test scripts and defect log

Success Measures

  • Reports delivered meet business requirements with minimal rework
  • Stakeholder satisfaction with reporting outputs and collaboration process
  • Reduced gaps between business expectations and technical delivery
  • Timely completion of reporting deliverables aligned with project milestones

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