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Afternoon Data Analyst R Programming Jobs in Bend, OR

Since 2009, R-2 Contractors has been a trusted leader in Civil & Underground construction ... Compile data necessary for the preparation of work plans or work order drawings * Provide technical ...

Financial Analyst

Redmond, OR · On-site

$70K - $80K/yr

The Powder Bed Fusion/Additive Manufacturing & Engineering facility is located in Redmond, OR. We ... Business Partner Support & Data Analysis: * Respond to ad hoc reporting requests from department ...

Financial Analyst

Redmond, OR · On-site

$70K - $80K/yr

The Powder Bed Fusion/Additive Manufacturing & Engineering facility is located in Redmond, OR. We ... Business Partner Support & Data Analysis: * Respond to ad hoc reporting requests from department ...

The Powder Bed Fusion/Additive Manufacturing & Engineering facility is located in Redmond, OR. We ... Business Partner Support & Data Analysis: * Respond to ad hoc reporting requests from department ...

... data analytics * Proficiency in MS Excel, Word, PowerPoint, Outlook and other Office tools * Experience with programming languages like Python, VBA, MATLAB, Java, and others preferred * Broad ...

Compile data and complete analysis for all aspects of natural gas pipeline, utility, gas, and ... engineering, or related field. Level II: ($63,860 - $79,830) . * Degree requirements of Level I ...

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Afternoon Data Analyst R Programming information

See Bend, OR salary details

$35.9K

$87.2K

$143.5K

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

As of Jun 20, 2026, the average yearly pay for afternoon data analyst r programming in Bend, OR is $87,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,300.00 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 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 Bend, OR? The most popular types of Data Analyst R Programming jobs in Bend, OR are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Bend, OR? For Afternoon Data Analyst R Programming jobs in Bend, OR, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Bend, OR look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Bend, OR are:
What cities near Bend, OR are hiring for Afternoon Data Analyst R Programming jobs? Cities near Bend, OR with the most Afternoon Data Analyst R Programming job openings:
Enterprise Data Lead Analyst

Enterprise Data Lead Analyst

First Interstate Bancsystem

Bend, OR • On-site

Full-time

Retirement, PTO

Posted yesterday


Job description

**If you are a current FIB employee, please apply through the Career Worklet in the Employee Portal.

This position can be located in Billings, MT; Bend, OR; Boise, ID; Omaha, NE; or Sioux Falls, SD.
What's Important to You
We know your career is just one aspect of a meaningful, complex, and demanding life. That's why we designed our compensation and benefits package to provide employees and their families with as much choice as possible.

  • Generous Paid Time Off (PTO) in addition to paid federal holidays.
  • Student debt employer repayment program.
  • 401(k) retirement plan with a 6% match.
  • The health and happiness of the places we call home matter to us. Learn a little more about what we do for the communities we serve and why we want YOU to be a part of it.

We encourage you to apply. Reach for what you want and tell us why your work ethic and willingness to learn make you a natural fit for #TeamFirstInterstate.
SUMMARY
The Enterprise Data Lead Analyst uses proven database querying and analytic skills in combination with superior communication abilities to deliver relevant, timely, and insightful information to the business. This position will collaborate and communicate with all levels of management to provide reporting and critical information to support the strategic initiatives and daily operations of the bank's business lines.
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Maintains knowledge of standardized department practices, documentation methodologies, and storage procedures, to ensure alignment on overall department objectives.
  • Creates analysis and visualization materials for business data, metrics, and measures which allows staff to align and track data against overall business strategies, goals, and objectives driving innovation, insight, and decision-making.
  • Designs, validates, and schedules queries and reports in various databases and reporting environments.
  • Works closely with end users and management to evolve, improve, and automate existing data processes.
  • Provides data and support in projects relating to business development, operation, risk, and other functional areas.
  • Develops specifications, documentation, and end user materials.
  • Develops core understanding of the business to consult with decision makers and provide recommendations based on knowledge of the data and business needs.
  • Documents and maps existing and desired business processes, using a consistent process mapping approach.
  • Collaborates with developers, stakeholders, and subject-matter experts (SME) to establish the technical vision and analyze trade-offs between usability and performance needs.
  • Deploys reports, SQL database objects, and applications to on-premises and cloud environments.
  • Consolidates issues for further review and develop clear written recommendations that require minimal editing, then presents to and resolves issues with management.
  • Identifies and executes appropriate investigative and analytical technologies to interpret and verify results.
  • Completes validation practices with the business end-user to ensure follow-up and resolution of exceptions, including specific individual resolution, root-cause analysis, and control gap identification.


QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
KNOWLEDGE, SKILLS AND ABILITIES

  • Achieve level three certifications within BI environments as defined by the Analytics Center of Excellence (ACE).
  • Ability to meet deadlines set-forth by management including, but not limited to: PMO initiatives, Compliance, Regulatory and Executive Mandates.
  • Advanced experience using Power BI, Power BI API's and Cmdlets, GitHub, or other business intelligence visualization tools.
  • Ability to lead department initiatives and team meetings without supervision.
  • Strong documentation and planning skills are required with the expectation to be held responsible for projected project outcomes.
  • Ability to identify and present business cases to management that benefit the department and organization.
  • Strong communication skills while maintaining a high-level of professionalism within the organization.
  • Expectation to collaborate directly with c-suite level employees on high-level banking initiatives.
  • Strong background in Python and SQL syntax and familiarity with relational database structures as well as API Integrations.
  • Knowledge and experience using Git or equivalent source control systems.
  • Highly proficient in Windows operating systems, Microsoft Office (Word, Excel, PowerPoint, and Visio), and one or more of the following database products: MS SQL Server, IBM Netezza, IBM Sailfish, or related products.
  • Must have a good understanding of relational database concepts and strong querying skills.
  • Experience working within Agile methodologies.
  • Advanced knowledge of Kimball Data Warehousing and Star/Snowflake Schemas.
  • Ability to write and communicate reports, business correspondence, and procedure manuals.
  • Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
  • Ability to work with moderate mathematical concepts.
  • Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
  • Define problems, collect data, establish facts, and draw valid conclusions.
  • Solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
  • Interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
  • Prioritize and work autonomously, yet collaboratively, when necessary.


EDUCATION AND/OR EXPERIENCE

  • Bachelor's Degree in a related field required
  • 7-9 years related experience, training, and/or equivalent combination of education and experience required
  • Experience that includes business administration, mathematics, computer science, and/or statistical analytics in the banking industry preferred


PHYSICAL DEMANDS AND WORKING ENVIRONMENT
The physical demands and work environment are representative of those that must be met or encountered to successfully perform the essential functions of the job. In compliance with the Americans with Disabilities Act, the company provides reasonable accommodation to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer.

  • Dexterity of hands/fingers to operate computer keyboard and mouse - Frequently
  • Lifting - Occasionally (up to 50 lbs)
  • Sitting - Frequently
  • Standing - Occasionally
  • Noise Level - Moderate
  • Typical Work Hours - M-F (8-5)
  • Regular and Predictable Attendance - Required

**If you are a current FIB employee, please apply through the Career Worklet in the Employee Portal.