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Afternoon Data Analyst R Programming Jobs in Colorado

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows Data Transformation & Analysis * Clean, manipulate, and transform complex datasets using Python (e.g ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelines and analytical workflows  Data Transformation & Analysis  * Clean, manipulate, and transform complex datasets using ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows Data Transformation & Analysis * Clean, manipulate, and transform complex datasets using Python (e.g ...

Senior Data Analyst

Denver, CO · On-site

$89K - $113K/yr

Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows Data Transformation & Analysis * Clean, manipulate, and transform complex datasets using Python (e.g ...

Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative field • Minimum Experience: 2 years of experience in data analytics or marketing engineering, specifically ...

Junior Data Analyst

Colorado Springs, CO · On-site

$100K - $130K/yr

Overview: APEX TK is looking for an amazingly talented Junior Data Analyst to join our team! In ... engineering and technical issues related to the missile defense system. What You'll Be Doing:

Junior Data Analyst

Colorado Springs, CO · On-site

$100K - $130K/yr

Overview: APEX TK is looking for an amazingly talented Junior Data Analyst to join our team! In ... engineering and technical issues related to the missile defense system. What You'll Be Doing:

Overview: APEX TK is looking for an amazingly talented Junior Data Analyst to join our team! In ... engineering and technical issues related to the missile defense system. What You'll Be Doing:

Senior Data Analyst

Boulder, CO · On-site

$89K - $112K/yr

... developer for the department with community partners on joint projects. Please submit a cover ... Conducts data analysis to evaluate the effectiveness of strategic program, and policy decisions and ...

Senior Data Analyst

Boulder, CO · On-site

$89K - $112K/yr

... developer for the department with community partners on joint projects. Please submit a cover ... Conducts data analysis to evaluate the effectiveness of strategic program, and policy decisions and ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative field

Our business reach spans satellite television service, live-streaming and on-demand programming ... Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative 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 Colorado? The most popular types of Data Analyst R Programming jobs in Colorado 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:
Senior Data Analyst

Senior Data Analyst

StepStone Group

Denver, CO • On-site

$89K - $113K/yr

Other

Posted 4 days ago


Job description

Company Description

Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry's best recruitment marketers, Appcast's technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job.

Job Description

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical solutions that support product strategy and business decisionmaking acrossAppcast. This roleis responsible forthe full analytics lifecycle, including exploring raw datasets, integrating external data sources, and developing insights, models, and reporting solutions that drive strategic decisions. The ideal candidate brings strong technical and analyticalexpertise, critical thinking skills, and the ability to communicate complex findings clearly to both technical and non-technical audiences. 

**Please note that candidates for this role must be located in either CO, MA or AZ. 

Job Responsibilities

StakeholderAnalytics 

  • Partner with cross-functional stakeholders to understand business challenges and translate them into data-driven insights and analytical solutions 
  • Present findings, recommendations, and performance insights clearly to both technical and non-technical audiences 
  • Act as a trusted advisor on analytics, measurement strategy, KPI development, performance optimization, and decision science methodologies 
  • Support strategic decision-making through reporting, forecasting, experimentation, and ongoing business and product performance analysis 

Data Exploration & Querying 

  • Query large-scale datasets using SQL in cloud-based environments (e.g., AWS Athena) 
  • Explore,validate, and reconcile data across multiple sources to ensure accuracy, consistency, and usability 
  • Perform deep-dive analyses toidentifytrends, anomalies, and business opportunities 
  • Partner with Data Engineering teams to define and improve data pipelinesand analytical workflows 

Data Transformation & Analysis 

  • Clean, manipulate, and transform complex datasets using Python (e.g., pandas,numpy) 
  • Build analytical frameworksand scalable reporting solutions for recurring business needs 
  • Perform advanced analyses(ie.cohort analysis, funnel analysis, attribution modeling,etc) 
  • Advocate for data quality, governance, and scalable analytical best practices 

Advanced Analytics & Modeling 

  • Develop forecasting models forvolume, application trends, and business performance outcomes 
  • Apply statistical methodologies to evaluate product effectiveness and support strategic initiatives 
  • Design and support experimentation and measurement frameworks, including A/B testing and incrementality analysis 

Data Product Development 

  • Design and deliver custom data products (reports, dashboards, datasets, analytical tools) 
  • Collaborate with stakeholders to define requirements and ensure deliverables align with business and product objectives 
  • Own projects end-to-endfromintake and scoping to final presentation 
Qualifications

Analytical Thinking 

  • Strong problem-solving skills with the ability to work through ambiguous requests 
  • Ability to connect data insights into business outcomes 
  • Experience with forecasting, modeling, or statistical analysisis aplus 

Technical Skills 

  • Strong SQL skills and experience querying large datasets (Athena, Snowflake,BigQuery, etc.) 
  • Proficiencyin Python for data analysis (pandas,numpy; scikit-learn is a plus) 
  • Experience with data visualization tools (Tableau, Looker, Power BI, or similar) 
  • Experience with Master Data Management (MDM) concepts and data governance practices to support consistent, accurate, and scalable analytics across multiple data sources and systems 

Communication & Ownership 

  • Excellent verbal and written communication skills 
  • Ability to present complex analyses to non-technical stakeholders 
  • Proven ability to manage projects independently from start to finish 

Education and Experience

  • Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or a related field 
  • Advanced degree (Master's/MBA) is a plus, notrequired 
  • 4-6+ years in data analytics, data science, consulting analytics, or related field 
  • Experience working in a client-facing or consulting environment strongly preferred 
  • Experience in recruitment marketing, HR tech, or performance marketing 
  • Familiarity with attribution modeling or multi-touch measurement 
  • Experience working with large-scale event or clickstream data 
  • AWS ecosystem experience 

Travel Requirements 

  • Travel for this position may include quarterly travel to attend internal and external meetings, however, this may vary based on business needs and opportunities. 

Fair Labor Standards Act Status  

  • Salaried Exempt: Personnel will earn their regular salary and not be entitled to overtime pay when they work over 40 hours in a work week. 

Supervisory Responsibilities

  • This position has no supervisory responsibilities  

Additional Information

Appcast recognized as one of Inc Magazine's "Best Workplaces" for 2024! 

  • We're the best at what we do.We're the global leader in programmatic recruitment advertising. With advanced technology, unmatched market data and a team of the industry's best recruitment marketers. 
  • We have an amazing culture driven by great people.Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe, Appcast is part of the Stepstone group. To better understand our company culture, readOur Storyand check outWorking at Appcaston our website.  
  • We take care of our employees.We're dedicated to creating an inviting environment where individuals from diverse backgrounds can thrive and develop. We believe in providing competitive compensation and comprehensive benefits, ensuring our team can support their loved ones and one another. We enjoy fostering a sense of community through dedicated employee networks, fun gatherings, delicious food, and even welcoming furry friends into our workspace. We live our values each day including volunteering and giving back to our communities. 

All your information will be kept confidential according to EEO guidelines. 

Appcast is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This employer does not use E-Verify to pre-screen job applicants and will not discriminate based on national origin, citizenship, or immigration status.