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Afternoon Data Analyst R Programming Jobs in Colorado

Data Analyst

Boulder, CO ยท On-site

$100 - $150/hr

Partner with technical and project leads across process engineering, chemistry, biology, and ... Experience analyzing spectroscopy and spectrometry data. * Experience with common biological assays ...

Data Analyst

Almont, CO ยท On-site

$55 - $65/hr

Remote Our client seeks a Data Analyst with strong backend data engineering capabilities to connect diverse data sources and modernize analytics. The role focuses on building and maintaining data ...

Senior Data Analyst and Engineer Lakewood, CO The contractor team will bring senior-level knowledge of data development and data systems engineering. A Data Analyst/Engineer, or Data Systems Engineer ...

Data Analyst

Denver, CO ยท On-site

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ET ...

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Senior Data Analyst

Denver, CO ยท On-site

$78 - $129/hr

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

Pay Range: $78,100.00 - $128,500.00 The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted ...

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis. * Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira)

You will pull data from across the drilling, completions, production, and geoscience domains, reconcile it into something trustworthy, and turn it into analysis that geologists, engineers, and ...

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Showing results 21-40

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 the most commonly searched types of Data Analyst R Programming jobs in Colorado?

The most popular types of Data Analyst R Programming jobs in Colorado are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Colorado?

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

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

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

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

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

$100 - $150/hr

Other

Medical, Dental, Vision, Retirement

Posted 18 days ago


Key responsibilities

  • Perform ad hoc statistical analysis on experimental data using frequentist and Bayesian methods as appropriate.

  • Develop and implement analysis pipelines to ensure reproducible and rigorous results.

  • Create dashboards for real-time monitoring of laboratory processes and data results.


Job description

About Alta

Alta Resource Technologies (Alta) is a next generation mining company that uses synthetic biology to separate critical minerals from conventional and unconventional resources, including e-waste. Founded in 2023, the company is expanding its team in Boulder, CO. The exponential growth of new tech industries, as well as the information technology sector, are driving historic growth in mineral demand and stressing existing supply streams. Meeting new demand, diversifying the supply chain, and producing minerals in a more sustainable manner requires the rapid development, deployment and scaling of new technologies. This mineral challenge represents a historic opportunity for technology development and value creation. Alta is proud to be at the vanguard of this mega trend.


Role Summary

We are seeking a Data Analyst with experience handling diverse scientific datasets. The person in this position will be tasked with performing ad hoc analysis and developing pipelines to securely store raw data, catalog this data and prepare it for downstream analysis. A successful candidate will establish real time monitoring of laboratory systems and accelerate product development by facilitating data integrity and real time analysis and dashboards for a variety of data types. This position will report to the VP Data and Information Systems.


Key Responsibilities

  • Experimental Design and Planning: Collaborate with technical teams to ensure statistical rigor by supporting randomized experimental design and evaluating assay performance through power analysis.

  • Robust Statistical Analysis: Perform ad hoc statistical analysis on novel experiments, applying frequentist methods (ANOVA, regression, GLM) as the standard approach, with Bayesian methods where appropriate (e.g., small samples, sequential designs, incorporating prior data).

  • Develop Analytical Pipelines: Develop standard analysis pipelines to ensure rigorous, reproducible results as projects advance.

  • Develop Data Dashboards: Develop dashboards that allow key stakeholders to monitor processes and results in real time.

  • System Integration: Develop processes to ensure data management is integrated with other support systems (LIMS, JIRA, etc)

  • Cross-Functional Collaboration: Partner with technical and project leads across process engineering, chemistry, biology, and biotech to ensure data and data reports are available to the appropriate stakeholders.

  • Documentation & Testing: Ensure all data packages and pipelines are documented and tested.


Required Qualifications

  • Experience level:


    • Bachelor's or Master's in Statistics, Biostatistics, Chemical Engineering, Bioinformatics, Cheminformatics, or related fields with 5-8 years of experience, or a PhD with 3-5 years of experience.


  • Strong grounding in frequentist statistics (DOE, ANOVA, regression); familiarity with Bayesian methods a plus.

  • Understanding and experience with Design of Experiment (DOE) approaches.

  • Proficiency with Python.

  • Proficiency with workflow management tools such as Nextflow or Snakemake.

  • Understanding of version control and experience with version control systems such as git.

  • Experience with dashboard development tools such as Dash or Streamlit.

  • Please note: Applicants must be authorized to work for ANY employer in the U.S.


Preferred, But Not Required

  • Experience with process engineering.

  • Experience with common cloud providers (AWS/Azure).

  • Experience analyzing spectroscopy and spectrometry data.

  • Experience with common biological assays, including fluorometric assays, protein quantification, or gel electrophoresis.

  • Experience with shell scripting (Bash, Zsh, etc).

  • Experience with FAIR data principles.


What We Offer

  • The opportunity to lead a breakthrough program redefining U.S. supply chain resilience in critical materials.

  • A mission-driven, high-trust team operating at the intersection of innovation, national security, and sustainability.

  • High Impact & Visibility: Direct interaction and reporting to executive leadership.

  • Competitive compensation and benefits package.

    • The starting annual salary range for this position is $100,000 to $150,000 commensurate with educational background and work experience.

    • Benefits include:

      • 401(K)

      • Medical, Dental, Vision plans (or equivalent)

      • Flexible Time Off

      • Paid Parental Leave

      • Paid Sick Leave

      • Company Holidays






EOE

Alta Resource Technologies is an equal opportunity employer committed to building a workforce that reflects the diversity of the communities we serve. We believe that varied perspectives, experiences, and backgrounds strengthen our team and drive better outcomes for our clients and partners.


We welcome and encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. Our hiring decisions are based solely on qualifications, merit, and the needs of the business. Alta participates in e-Verify for all positions.


If you require accommodations at any point in the hiring process, please let your recruiter know.


For information about Alta's privacy practices, see our Privacy Policy.

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