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Excel Data Cleaning Jobs in Colorado (NOW HIRING)

Apply robust data cleaning techniques such as handling missing values, correcting data types ... Advanced Excel and Google Sheets skills, including pivot tables and complex formulas * Experience ...

Data Manager

Denver, CO · On-site

$30.67/hr

If you're a whiz using Excel/Google Sheets, you're a systems thinker with a strong attention to ... Audit, clean, deduplicate, and close out data in our databases monthly. Bottom line, all data ...

If you excel at blending technical expertise with creative thinking to deliver impactful results ... Experience with data cleaning and preprocessing DESIRED SKILLS * Experience with cloud platforms (e ...

HR Analyst

Englewood, CO · On-site

$35 - $37/hr

Use advanced Excel functions, including pivot tables, lookup formulas, and data-cleaning techniques, to compile and analyze information from multiple sources. * Investigate discrepancies in employee ...

New

... clean, validate, and join data from multiple sources into analysis-ready datasets. Perform complex data analysis using SQL and Excel, ensuring accuracy, consistency, and integrity throughout the ...

... clean, validate, and join data from multiple sources into analysis-ready datasets. · Perform complex data analysis using SQL and Excel, ensuring accuracy, consistency, and integrity throughout the ...

New

... clean, validate, and join data from multiple sources into analysis-ready datasets. • Perform complex data analysis using SQL and Excel, ensuring accuracy, consistency, and integrity throughout the ...

Be Seen First

Data Analyst

Denver, CO · On-site

$65K - $85K/yr

Collect, compile, clean, and analyze data from multiple sources to support Head Start grants ... Experience using analytical tools such as Excel and scripting or statistical languages (e.g ...

New

... clean, organize, and prepare operational data from SCADA systems, historians, HMIs, databases, and APIs for reporting, dashboards, and analytics. * Build dashboards using Power BI, Excel, or similar ...

Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis ... Strong proficiency in Excel and SQL, with experience querying and working with large, complex ...

Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis ... Strong proficiency in Excel and SQL, with experience querying and working with large, complex ...

Working with financial data in excel or other financial systems * To qualify for the GS-09 ... Working with large amounts of financial data, cleaning, analyzing, identifying trends, and ...

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Excel Data Cleaning information

What is the difference between Excel Data Cleaning vs Data Analyst?

AspectExcel Data CleaningData Analyst
Required SkillsProficiency in Excel, data cleaning techniquesExcel, data analysis, visualization, statistical skills
Work EnvironmentPrimarily in Excel, small datasets, ad hoc tasksMultiple tools, larger datasets, reporting and insights
CertificationsExcel certifications, data cleaning coursesData analysis certifications (e.g., Microsoft, Coursera)
Industry UsageData preparation, cleaning for various rolesData interpretation, decision-making, reporting

Excel Data Cleaning focuses on preparing and cleaning data within Excel, often for immediate use. Data Analysts perform broader analysis, interpret data, and generate reports, often using multiple tools. While data cleaning is a key skill for analysts, the roles differ in scope and complexity.

What are some common challenges faced in Excel data cleaning roles, and how can they be effectively managed?

One common challenge in Excel data cleaning is dealing with inconsistent or incomplete data, such as missing values, duplicate entries, or formatting issues. Effectively managing these challenges involves using Excel tools like filters, conditional formatting, and the 'Remove Duplicates' feature, as well as formulas like IF, ISBLANK, and VLOOKUP to identify and correct discrepancies. Collaborating closely with team members or data stakeholders is also important to clarify data definitions and ensure accuracy. Staying organized and documenting your cleaning process helps maintain data integrity and supports transparency for future audits or team reviews.

What is Excel data cleaning?

Excel data cleaning refers to the process of identifying and correcting errors, inconsistencies, and inaccuracies in data sets using Microsoft Excel. This involves tasks such as removing duplicates, fixing formatting issues, handling missing values, and standardizing data for analysis or reporting. Effective data cleaning ensures that your data is reliable, accurate, and ready for further processing or analysis. It is a critical first step in any data management or data analysis project.

What are the key skills and qualifications needed to thrive as an Excel data cleaning specialist, and why are they important?

To thrive as an Excel Data Cleaning Specialist, you need strong attention to detail, advanced knowledge of Excel functions (such as VLOOKUP, FILTER, and TEXT functions), and experience with data management. Familiarity with Excel add-ins, Power Query, and sometimes knowledge of VBA scripting or other data processing tools is highly valuable. Analytical thinking, problem-solving, and effective communication help you interpret data requirements and collaborate with stakeholders. These skills ensure data accuracy, streamline workflows, and support reliable decision-making based on clean, usable datasets.
What cities in Colorado are hiring for Excel Data Cleaning jobs? Cities in Colorado with the most Excel Data Cleaning job openings:
Infographic showing various Excel Data Cleaning job openings in Colorado as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Associate Data Analyst

Brown and Caldwell

Lakewood, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Brown and Caldwell rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 441 rated engineering


Job description

The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.

Responsibilities 

  • Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys). 
  • Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality. 
  • Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions. 
  • Organize raw data into structured formats—such as data tables, CSV files, or relational databases—making it accessible and ready for analysis by analysts, data scientists, and business stakeholders. 
  • Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets. 
  • Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts. 
  • Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention. 
  • Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers. 
  • Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel. 
  • Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server. 
  • Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines. 
  • Collaborate with cross-functional teams—including marketing, product, finance, and operations—to understand their goals and translate them into data requirements. 
  • Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports. 
  • Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues. 
  • Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members. 
  • Flexibility to adapt and execute various additional assignments based on evolving needs. 

Mentorship 

  • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles. 

Skills and Competencies 

  • Proficiency in SQL for data extraction, transformation, and analysis 
  • Advanced Excel and Google Sheets skills, including pivot tables and complex formulas 
  • Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards 
  • Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering) 
  • Ability to perform exploratory data analysis and identify actionable insights 
  • Familiarity with Python or R for data manipulation and visualization (preferred) 
  • Skilled in cleaning, validating, and transforming large datasets 
  • Excellent communication skills for presenting data to non-technical stakeholders 
  • Collaborative mindset with experience working across departments 
  • Detail-oriented with a focus on data accuracy and consistency 
  • Knowledge of data governance, metadata management, and quality assurance practices 
  • Understanding of data privacy and compliance standards (e.g., GDPR, CCPA) 
  • Ability to identify process inefficiencies and recommend improvements 
  • Experience supporting senior analysts with modeling, forecasting, and reporting 

Experience 

  • Typically, a minimum of 2 years’ related work experience in Data Analytics or a related field is required. 

Education 

  • A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline)is required. 

Salary Range: The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education.  These ranges may be modified in the future.   

Location A:$71,000 - $96,000Location B:$78,000 - $106,000Location C:$85,000 - $115,000 

You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.  

Benefits and Other Compensation:  We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits.  

About Brown and Caldwell   

Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice—to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com  

This position is subject to a pre-employment background check and a pre-employment drug test.   

Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.    

Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.


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