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Remote Applied Data Analytics Jobs in Colorado (NOW HIRING)

USAA

Business Strategy Analyst Senior

Colorado Springs, CO · On-site +1

$108K - $207K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR a minimum of 4 years of data and/or analytics or strategy consulting experience and up to 2 ...

USAA

Business Strategy Analyst Senior

Colorado Springs, CO · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR a minimum of 4 years of data and/or analytics or strategy consulting experience and up to 2 ...

USAA

Business Strategy Analyst Senior

Colorado Springs, CO · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR a minimum of 4 years of data and/or analytics or strategy consulting experience and up to 2 ...

Doowii, Inc

Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

EdTech or SaaS analytics background * Knowledge of LLM evaluation, vector stores, or semantic ... Remote-work environment Equal Opportunity Doowii is an Equal Opportunity Employer and values ...

Pae

IMINT Analyst Expert

Aurora, CO · Remote

Experience with data analytics and COTS statistical software (SPSS, SAS, MatLab etc.) Experience ... Doctoral Degree in Remote Sensing, Cartography, Geography, or related field AND 5 years CURRENT ...

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Remote Applied Data Analytics information

What is a Remote Applied Data Analytics job?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a Remote Applied Data Analytics professional, and why are they important?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What are popular job titles related to Remote Applied Data Analytics jobs in Colorado? For Remote Applied Data Analytics jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Applied Data Analytics jobs in Colorado look for? The top searched job categories for Remote Applied Data Analytics jobs in Colorado are:
What cities in Colorado are hiring for Remote Applied Data Analytics jobs? Cities in Colorado with the most Remote Applied Data Analytics job openings:
Remote Applied Data Analytics jobs near you
Principal Engineer, Data Management & Business Intelligence

Principal Engineer, Data Management & Business Intelligence

EchoStar

Englewood, CO • Remote

$169K - $208K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

EchoStar rating

7.1

Company rating: 7.1 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

52nd of 82 rated telecommunications companies

Job description

Company Summary

EchoStar builds solutions that help families and communities stay connected. We’ll launch your career and empower you to change lives.

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Principal Engineer, Data Management & Business Intelligence (Dish Network LLC, Englewood, Colorado)

Design, develop, and implement data solutions and data pipelines using cloud-based and distributed data platforms. Define standards and procedures for data extraction, transformation, and loading (ETL/ELT) processes supporting both batch and real-time data processing. Design and maintain data lakes and data warehouses to support enterprise reporting and analytics. Work with relational and analytical databases to store, manage, and retrieve structured and semi-structured data. Develop and optimize complex SQL queries, including performance tuning, to support data analysis and application requirements. Provide technical support to team members and collaborate with cross-functional and offshore teams as needed. Build the lakehouse and business intelligence applications, including requirements analysis, development, testing, and deployment. Integrate and enhance enterprise data lakehouse solutions to consolidate data and leverage future AI use cases from multiple internal and external data sources. Follow Agile development methodologies and established engineering best practices.Salary: $169,062 - $208,725 per year.

Skills, Experience and Requirements

Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, Applied Computer Science, or a related field, plus 5 years of professional experience as a Data Engineer, or any occupation, job title, position involving design and development of batch and real-time data pipelines for enterprise data warehouse or data lake platforms.

Must also have experience in the following: 5 years of professional experience with data extraction, transformation, and loading including ETL and ELT processes for large-scale data integration. 5 years of professional experience designing and implementing data warehouse or data lake architectures, including enterprise data warehouse (EDW) environments. 5 years of professional experience writing, optimizing, and tuning complex SQL queries, including performance optimization for large datasets. 5 years of professional experience using programming and scripting languages, including SQL, Python, and Linux or Unix shell scripting, for data processing and automation. 5 years of professional experience providing production support for data systems, including troubleshooting data issues, tracing data flows from source to target, and resolving pipeline failures. 3 years of professional experience in data modeling and integrating data from multiple heterogeneous sources, including structured and semi-structured data. 2 years of professional experience working in Agile software development environments, including participating in sprint planning, development cycles, and releases using tools including

JIRA and Git-based version control systems.

Benefits

Apply online at echostar.com/careers OR email resume to tasharedservices@dish.com. Must specify REQ # 2026-99844

What EchoStar employees say

Pay

Benefits

Hours and flexibility

Workplace

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