Brooksource

Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst in Greenwood Village, CO, on a long-term contract with a pay rate of $65-$70/hr. Requires 3+ years in business analysis, experience with digital products, and proficiency in SQL and analytics tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
560
-
πŸ—“οΈ - Date
April 29, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Greenwood Village, CO
-
🧠 - Skills detailed
#BI (Business Intelligence) #Strategy #AI (Artificial Intelligence) #Microsoft Power BI #Data Review #Data Exploration #SQL (Structured Query Language) #Data Analysis #Visualization #Tableau #Anomaly Detection #Business Analysis #Documentation
Role description
Business Analyst Location: Greenwood Village, CO (4 days onsite) Compensation: $65-$70/hr Long Term Contract Job Summary The Business Analyst supports Product Managers by helping define business needs, gather and document requirements, and analyze digital product performance to accelerate discovery and delivery of new website features. This role works closely with Product Managers, Product Owners, technology teams, operations partners, and other stakeholders to document use cases, evaluate current-state experiences, identify trends and gaps, and provide data-driven insights that inform product decisions and enhancements. Major Responsibilities β€’ Partner with Product Managers, Product Owners, and business stakeholders to gather, analyze, and document business, functional, and reporting requirements for digital product functionality β€’ Analyze current-state and future-state workflows, use cases, and business processes; identify gaps, root causes, and opportunities to improve efficiency, accuracy, and user experience β€’ Build and maintain strong working relationships with cross-functional stakeholders; lead meetings to gather information, align on requirements, clarify priorities, and drive shared understanding of business needs, risks, and next steps β€’ Compile, analyze, interpret, and present data from multiple sources to identify trends, usage patterns, operational issues, customer behavior, and opportunities for product and process improvement. β€’ Monitor and analyze reports, dashboards, KPIs, and ad hoc data to evaluate product performance, customer experience, operational outcomes, and business metrics, and provide insights to support decision-making and continuous improvement β€’ Use AI-enabled analytical tools, where appropriate, to support large-scale data review, pattern identification, anomaly detection, and summarization of insights β€’ Contribute analytical support for evaluating enhancements, defects, and production issues, including assessing business impact, trends, and priorities β€’ Create business documentation including process maps, requirements documents, data definitions, gap analyses, summaries, and implementation support materials Required Qualifications β€’ Bachelor’s degree in business, analytics, information systems, or related field, or equivalent combination of education and experience β€’ 3+ years experience in business analysis, data analysis, digital product analysis, or related experience β€’ Ability to quickly identify business problems, trends, gaps, and opportunities β€’ Ability to handle multiple projects across different cross-functional teams and priorities at once β€’ Ability to prioritize and organize effectively β€’ Ability to work independently, as well as in a collaborative and dynamic team environment Preferred Qualifications β€’ Experience supporting digital products, B2B portals, customer self-service, or telecom / digital communications workflows β€’ Familiarity with analytics platforms, digital behavior reporting, accessibility requirements, and customer journey analysis β€’ Experience with Salesforce Data, and reporting and visualization tools such as Tableau, Microstrategy, Adobe Web Analytics, Power BI, Excel, or similar platforms β€’ Familiarity with AI-enabled productivity or analytics tools used for data exploration, insight generation, summarization, or large-scale information review β€’ Experience querying and analyzing data using SQL or similar analytical tools