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Full Time Remote Data Analyst Jobs in Colorado (NOW HIRING)

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

NuView

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Stio

Data Analyst

Denver, CO · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Prologis

Program Director, Data & Analytics

Denver, CO · On-site +1

... remote teams * Strong change management mindset and comfort operating in evolving environments ... All full-time roles in the US come with a robust benefits package which includes healthcare, dental ...

Pursuitcollection

Business Intelligence Analyst

Denver, CO · On-site +1

$67K - $78K/yr

... data behind the processes. This is a regular full-time, salaried role with a base salary range of ... This job is based in an office environment though remote work may also be required. Some travel ...

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Full Time Remote Data Analyst information

What is the difference between Full Time Remote Data Analyst vs Full Time Remote Data Scientist?

AspectFull Time Remote Data AnalystFull Time Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or higher in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentRemote, collaborative with teams, using data analysis toolsRemote, often involves complex modeling, coding, and advanced analytics
Industry UsageBusiness, finance, marketing, healthcareTech, finance, research, AI development

Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop predictive models and advanced algorithms. Both roles are remote and require analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What is a Full Time Remote Data Analyst?

A Full Time Remote Data Analyst is a professional who works from a location outside the traditional office environment, usually from home, and is employed on a full-time basis. Their main responsibility is to collect, process, and analyze large sets of data to help organizations make informed decisions. They use statistical tools and software to interpret data trends, create reports, and present findings to stakeholders. Remote data analysts collaborate with teams via digital communication tools and may work with data from various industries, such as finance, healthcare, or technology. This role requires strong analytical skills, attention to detail, and proficiency with data analysis software.

What are some common challenges faced by full-time remote data analysts, and how can they be addressed?

One common challenge for full-time remote data analysts is maintaining clear communication and collaboration with team members who may be in different locations or time zones. To overcome this, it's important to proactively schedule regular check-ins, leverage collaborative tools (like Slack, Teams, or project management platforms), and document your work thoroughly for transparency. Additionally, remote analysts often need to manage their own time effectively and set boundaries to prevent burnout. Staying organized and maintaining a healthy work-life balance are essential for long-term success in this role.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Analyst, and why are they important?

To thrive as a Full Time Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Experience with data visualization tools (e.g., Tableau, Power BI), programming languages (e.g., Python, R), and advanced Excel functions is typically required. Excellent communication, self-motivation, and time management are standout soft skills for remote collaboration and clear reporting. These abilities are crucial for delivering actionable insights, maintaining productivity, and ensuring data-driven decision-making in a remote work environment.
What are the most commonly searched types of Remote Data Analyst jobs in Colorado? The most popular types of Remote Data Analyst jobs in Colorado are:
Full Time Remote Data Analyst jobs near you

Data Analyst

NuView Analytics

Denver, CO • Remote

$80K - $100K/yr

Full-time

Re-posted 18 days ago

Job description

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.

Salary: $80k-100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)
Employment Type: FULL_TIME

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