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Data Analysis Inc Jobs in Colorado (NOW HIRING)

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming ...

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming ...

Research Associate I/II

Boulder, CO · On-site

$63K - $80K/yr

Analyze experimental data and document results in technical reports and electronic lab notebooks ... KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore ...

Research Associate I/II

Boulder, CO · On-site

$63K - $80K/yr

Analyze experimental data and document results in technical reports and electronic lab notebooks ... KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore ...

SUMMARY: The Data Scientist is a high-impact, strategic role responsible for identifying ... This position goes beyond traditional analytics, focusing on driving measurable business value ...

Data Scientist

Denver, CO · On-site

$98K - $113K/yr

SUMMARY: The Data Scientist is a high-impact, strategic role responsible for identifying ... This position goes beyond traditional analytics, focusing on driving measurable business value ...

SUMMARY: The Data Scientist is a high-impact, strategic role responsible for identifying ... This position goes beyond traditional analytics, focusing on driving measurable business value ...

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics ...

Showing results 41-60

Data Analysis Inc information

What is Data Analysis Inc?

Data Analysis Inc is typically a company or organization specializing in providing data analysis services to help businesses make informed decisions. They use statistical tools, software, and methodologies to analyze raw data, uncover patterns, and generate actionable insights. Clients often rely on these services for market research, performance tracking, or predictive analytics to drive their business strategies. Data Analysis Inc may also offer consulting, training, and customized reporting solutions to meet specific client needs.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required, and certifications in analytics can be advantageous. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

What are some common challenges a data analyst might face when working with cross-functional teams?

Data analysts often collaborate with teams from various departments, such as marketing, finance, or product development. One common challenge is translating complex data findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning on data definitions and ensuring consistent data quality across different sources can be difficult. Effective communication and a collaborative mindset are essential for overcoming these challenges and driving impactful business decisions.

What is the difference between Data Analysis Inc vs Data Analytics Specialist?

AspectData Analysis IncData Analytics Specialist
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications like CAP or Microsoft Data AnalystBachelor's or higher in Data Science, Analytics, or related; certifications like CAP, Microsoft, or Google Data Analytics
Work EnvironmentCorporate offices, consulting firms, or remote settings within various industriesSimilar environments, often in tech, finance, or healthcare sectors
Employer & Industry UsageUsed by companies seeking data-driven decision making across industriesCommonly used by organizations requiring specialized data analysis roles

Data Analysis Inc and Data Analytics Specialist roles share similar credentials and work environments, often overlapping in industry usage. The main difference lies in the job scope: Data Analysis Inc may refer to a company or team, while Data Analytics Specialist is a specific job title focused on applying analytical techniques. Both roles are essential for organizations leveraging data to inform decisions.

Are data analysts still in demand?

Data analysts are currently in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as Python or R enhance employability in this field.

Is it still worth it to become a data analysis inc in 2026?

Data analysis remains a valuable career in 2026, as demand for professionals skilled in statistical tools, programming languages like Python or R, and data visualization continues to grow across industries. Strong analytical skills and familiarity with data management platforms can enhance job prospects, making it a viable career choice for those interested in data-driven decision making.
Infographic showing various Data Analysis Inc job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

JEI - Corporate Data Analytics Engineer

JACOBS ENTERTAINMENT, Inc.

Lakewood, CO • On-site

$135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Description
A Legacy of Excellence
Entertaining Your World
Jacobs Entertainment, Inc. (JEI) is a developer, owner and operator of gaming and entertainment facilities across the United States. Core to the company's value is our commitment to ethical leadership, outstanding training, and open employee communication.
Jacobs Entertainment is currently in search of a "Corporate Data Analytics Engineer" for our corporate office in Lakewood. If you are seeking an opportunity where your contributions and skills will be both valued and your ability to influence change will be immediate, we would love to speak with you.
Our employees are supported with a comprehensive benefits program that include the following:
  • $200 Referral Bonus
  • Tuition Reimbursement
  • Ongoing learning and development programs
  • Work towards your future advancement within the company-most of our supervisors and managers are promoted from within
  • 7 paid Holidays
  • 80 hours of Vacation after 1 year of employment
  • 48 Hours of Paid Sick Leave available immediately and renews annually
  • We offer a variety of affordable medical, dental, vision and flexible spending account plans after 60 days
  • Employee Assistance Program FREE of charge
  • Company paid Life Insurance and AD&D
  • Matching 401K program after 90 days

Essential Job Responsibilities and Duties:
  • Design, build, and maintain robust star-schema data models and SQL views within the Enterprise Data Warehouse (EDW) to support regional operations
  • Build and optimize semantic layers, metadata packages, definitions, and security access models to ensure consistent metrics across the organization
  • Consolidate data structures across disparate regional properties to create a unified view of property performance, guest behavior, and revenue tracking
  • Author clean, well-documented, and performant SQL queries to streamline data pipeline processing and minimize warehouse query runtimes
  • Proactively monitor data pipelines and ETL (Extract, Transform, Load) processes, troubleshooting and resolving integration failures, data quality issues, or pipeline bottlenecks to ensure the timely and accurate delivery of data
  • Feature-engineer dataset tables and prepare structured data views to feed predictive artificial intelligence and machine learning models
  • Partner with the analytics team on effective use of AI across the department, including forecasting (covers, occupancy, gaming volume, labor demand), predictive modeling (customer lifetime value, churn, reinvestment), and other applied use cases; evaluate tools, advise on appropriate techniques, and help translate business questions into well-scoped AI/ML problems
  • Integrate, map, and model guest journey data from the marketing CRM, including omni-channel campaigns, segmentation performance, email open/click behaviors, and promotional attribution
  • Model and interpret core gaming metrics, including Slot/Table Drop, Win/Hold percentages, Theoretical Win (Theo), and coin-in data, in partnership with operations and finance leadership
  • Build and maintain a working understanding of Property Management Systems (PMS) data, including ADR (Average Daily Rate), RevPAR (Revenue Per Available Room), occupancy tracking, and multi-property booking behaviors
  • Map data from Player Tracking Systems, managing rewards, tier progressions, reinvestment rates, and marketing offer redemptions
  • Model food and beverage transaction data from InfoGenesis POS, including check-level detail, menu mix, voids, and comps, to support outlet performance and F&B analytics
  • Integrate workforce and payroll data from UKG Labor / Kronos, applying Slowly Changing Dimension techniques so labor history (roles, pay rates, property assignments) is preserved for accurate hourly labor efficiency and historical reporting

Skills, Education and Other Requirements:
  • 3-5 years of experience in data modeling, analytics engineering, or business intelligence engineering
  • Advanced SQL mastery, with expert-level ability to write complex analytical queries, stored procedures, database indexes, and performance-tuning optimizations
  • Strong foundational knowledge of relational databases, dimensional modeling, and Enterprise Data Warehouse infrastructure
  • Familiarity or hands-on experience using erwin Data Modeler to view, interpret, or contribute to enterprise-level logical and physical data diagrams
  • Practical experience building enterprise semantic layers, data packages, or structured metadata layouts for enterprise reporting platforms (e.g., IBM Cognos, Looker, or Power BI)
  • Bachelor's Degree in a Quantitative, Computer Science, Information Systems, or related field, or equivalent work experience
  • Ability to work effectively from a designated regional location, with a strong geographic preference for Reno, NV or Denver, CO
  • Strong analytical skill and aptitude for working with data and logical thinking
  • Attention to detail
  • Ability to manage multiple projects at the same time
  • Ability to write detailed reports and correspondence
  • Must possess ability to read and interpret documents such as internal controls and procedure manual
  • Ability to obtain a Colorado Gaming License
  • Identification that establishes identity
  • Identification that establishes the right to work in the United States

Machinery, Work Equipment, Programs, Software, Hardware Used
  • Computer
  • Agilysys InfoGenesis POS
  • erwin Data Modeler
  • Hotel PMS: Oracle Opera, Infor HMS
  • BI: IBM Cognos Analytics (Framework Manager, Data Modules)
  • SQL / Enterprise Data Warehouse (EDW)
  • UKG Labor / Kronos
  • MS Office
  • IGT Advantage Gaming System preferred (Aristocrat Oasis or Light & Wonder also accepted)
  • dbt (Data Build Tool) preferred