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Data Analyst Professional Jobs in Colorado (NOW HIRING)

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications Minimum Experience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

Data Scientist

Colorado Springs, CO · On-site

$155 - $190/hr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications MinimumExperience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

... professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Showing results 41-60

Data Analyst Professional information

What is the difference between Data Analyst Professional vs Data Scientist?

AspectData Analyst ProfessionalData Scientist
Required CredentialsBachelor's in Statistics, Data Analysis, or related fields; certifications like Microsoft Excel, TableauBachelor's or Master's in Computer Science, Statistics, or related; certifications like Python, R, or machine learning courses
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, predictive modeling, advanced analytics, machine learning
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, research institutions, finance, healthcare

While both roles analyze data, Data Analyst Professionals focus on interpreting data for business insights using visualization tools, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Are data analysts still in high demand?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are highly valued, and the role often offers opportunities for career growth and certification. The demand is expected to continue as organizations prioritize data insights for strategic planning.

What are the most common challenges data analyst professionals face when working with cross-functional teams?

Data Analyst Professionals often collaborate with teams from marketing, product, engineering, and management, each with different data needs and levels of technical understanding. A common challenge is translating complex data findings into actionable insights that are accessible to non-technical stakeholders. Additionally, aligning data priorities, ensuring data integrity across sources, and managing multiple project deadlines can require strong communication and organizational skills. Building relationships and setting clear expectations early on can help overcome these challenges and ensure productive cross-team collaboration.

What is a data analyst professional?

Data Analyst Professionals are experts who collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and techniques to interpret data sets, identify trends, and generate actionable insights. Their work often involves cleaning data, designing reports or dashboards, and communicating findings to stakeholders. Data Analysts typically work across various industries, such as finance, marketing, healthcare, and technology. They play a crucial role in helping businesses optimize operations and achieve strategic goals.

What are the key skills and qualifications needed to thrive as a data analyst professional?

To thrive as a Data Analyst Professional, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics, computer science, or economics. Familiarity with data analysis tools and programming languages like SQL, Python, R, and visualization software such as Tableau or Power BI, along with certifications like Microsoft Certified: Data Analyst Associate, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These skills and qualities are crucial for transforming complex data into valuable business intelligence that drives informed decision-making.

What are the most commonly searched types of Data Analyst jobs in Colorado?

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

Denver CO_Business Data analyst(SAS exp preferrred)_W2

360 IT Professionals

Denver, CO

Contractor

Re-posted 29 days ago


Job description

Company Description

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement.


Job Description

We are looking to fill a position for Business Data analyst in Denver CO.


Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining.

         Designs, develops, implements and maintains business solutions.

         Works directly with clients and project and business leaders to identify analytical requirements.

Qualifications

         Requires a bachelor's degree in area of specialty and at least 2 years or equivalent experience in the field or in a related area.

         Familiar with standard concepts, practices, and procedures within a particular field.

         A certain degree of creativity and latitude is required.

Additional Information

In person interview is acceptable.