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Business Analyst Sql R Python Jobs in Colorado (NOW HIRING)

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Data Analyst (SQL & POWER BI) - Government Project

Denver, CO · On-site

$40 - $45/hr

Data Analyst (SQL & Power BI) - Government Project Location: West Denver Area, CO Position Type ... Comfort interviewing business users, managing stakeholder expectations, and presenting technical ...

SNI Technology

IFS Business Analyst

Aurora, CO · On-site

$115K - $130K/yr

IFS Business Applications Analyst Full-Time | Direct Hire | Remote Schedule Compensation: $115,000 ... Familiarity with SQL, data mapping, or API integrations * Experience with modern data platforms

EchoStar

Senior Data Analyst

Littleton, CO

$90K - $118K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... using SQL alongside statistical analysis capabilities in Python or R * Hands-on experience ...

Kinective

Technical Business Analyst

Golden, CO

$75K - $85K/yr

As the Technical Business Analyst (TBA), you will play a key role in bridging the gap between ... Working knowledge of SQL, data structures, and analytics tools (e.g., Power BI, Tableau, Looker)

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Business Analyst Sql R Python information

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Infographic showing various Business Analyst Sql R Python job openings in Colorado as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.
Business Analyst :: Denver, Colorado-Hybrid (2- Days a week Onsite)- Need Only Locals

Business Analyst :: Denver, Colorado-Hybrid (2- Days a week Onsite)- Need Only Locals

Prudent Technologies and Consulting

Denver, CO • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hi,

Role: Business Analyst /Data Analyst

Location: Denver, Colorado (Hybrid (2- Days a week Onsite)- Need Only Locals
Skills - Business Analysis, SQL, Agile, Data Integration, Data Mapping, Power BI, Data Governance, Data Warehousing Concepts, Data Lakehouse, Stakeholder Management

Job Description

The Business Analyst for our client will play a key role in delivering capabilities within the Enterprise Data Platform and Core Data Services. This role partners with business and technology stakeholders to define and refine requirements for reporting and analytics, source system changes, and new data integrations ensuring data is trustworthy, well-governed, and usable across the enterprise.

Working as part of an Agile delivery team, the analyst will translate needs into clear user stories and acceptance criteria, help maintain and prioritize the backlog in alignment with value stream priorities, and proactively manage dependencies and release scheduling to enable predictable delivery.

Experience in the residential or commercial mortgage industry is an added advantage, enabling deeper understanding of the Customer's domain, data, and business processes.

Roles & Responsibilities

Responsibilities & Duties

  • Elicit, analyze, and document requirements for enterprise reporting and analytics, including KPI definitions, metric logic, dimensionality, refresh cadence, and security/access needs.
  • Partner with Product Owners, Data Engineers, and Architects to shape requirements for Core Data Services (e.g., curated datasets, data products, shared semantic/metrics layers, reference/master data, and data APIs).
  • Gather and document requirements for source system changes and new source system integrations, including data profiling, field-level mappings, transformation rules, and validation/reconciliation approaches.
  • Create and maintain artifacts such as user stories, epics, acceptance criteria, process flows, data dictionaries, mapping specifications, and test scenarios to support development and QA.
  • Collaborate daily with an Agile team; support backlog grooming/refinement, estimation readiness, and definition of done.
  • Maintain and communicate backlog priorities and sequencing across multiple value streams; identify, track, and manage cross-team dependencies, risks, and assumptions.
  • Support release planning by coordinating readiness, data cutovers, and deployment schedules; help ensure clear go/no-go criteria and post-release validation plans.
  • Coordinate stakeholder communications, demos, and feedback loops to ensure delivered solutions meet business outcomes and data quality expectations.
  • Support data governance practices by promoting consistent definitions, lineage awareness, stewardship engagement, and adherence to privacy/security requirements.
  • Define and document data governance and security requirements (e.g., classification, access controls/role-based security, privacy constraints, retention, auditability) and ensure they are incorporated into user stories and acceptance criteria.
  • Continuously identify opportunities to streamline requirements, improve data quality, and enhance self-service analytics and operational reporting.

Required Experience, Skills, & Competencies

  • 5+ years of experience as a Business Analyst, Product Analyst, or similar role delivering data/analytics, integration, or platform capabilities.
  • Experience gathering requirements for enterprise reporting/analytics and translating them into user stories with clear acceptance criteria.
  • Demonstrated experience with data integration concepts including source-to-target mapping, transformations, data quality checks, and reconciliation/controls.
  • Working knowledge of data warehouse/lakehouse concepts, dimensional modeling, and/or semantic/metrics layers; familiarity with data product thinking is a plus.
  • Strong SQL skills for data exploration and validation; experience with Power BI (or similar BI tool) for understanding report requirements and testing outputs.
  • Experience working in Agile/Scrum environments, including backlog refinement, prioritization, dependency management, and release planning.
  • Excellent stakeholder management skills; ability to communicate complex data topics clearly to both technical and non-technical audiences.
  • Understanding of data governance, privacy/security, and quality practices (definitions, lineage, stewardship, access controls).
  • Experience eliciting and documenting data governance and security requirements, including role-based access, data classification, privacy controls, and audit/reconciliation expectations.
  • Education: Bachelor s degree in Business, Information Systems, Data Analytics, or a related field (or equivalent practical experience).
  • Preferred: Experience with Microsoft Fabric/Azure data services, ETL/ELT tools, API-based integrations, and/or data catalog/metadata tools.

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