Business Intelligence Analyst - Mid-Level

Title: Business Intelligence Analyst - Mid-Level Duration: 6+ Months Location: 100% remote Visa Acceptable: Only GC and US-Citizens (No EAD's) Please Note: Since this is mid- level..Not looking for more than 10+ years of exp. HM Meeting Notes: • Potential to extend • Fully remote • Open to contract and contract to perm talent (no work sponsorship) Job Description: We are seeking a highly skilled and motivated Business Intelligence Analyst to join our team. The ideal candidate will have a solid understanding of data analytics and the ability to work independently with Power BI. This role involves preparing data for analysis, designing data visualizations, and providing data-driven insights to support business decisions for teams that operate using Agile frameworks. Primary Responsibilities: • Prepare and clean data for analysis to ensure accuracy and reliability. • Design and develop data visualizations using Power BI to effectively communicate insights. • Analyze data to identify trends, patterns, and insights that drive business decisions. • Collaborate with stakeholders to understand their data needs and deliver actionable insights. Required Qualifications/Technical Skills: • 5-10 years' experience as a Business Intelligence Analyst or similar role viewing data from a business perspective • Proven experience in data analytics and working with Power BI. • Strong analytical and problem-solving skills. • Ability to work independently and manage multiple tasks simultaneously. • Excellent communication and collaboration skills. • Familiarity with Scaled Agile Framework (SAFe) and agile methodologies, such as Scrum, Kanban, as the role will be working with metrics specifically related to Scrum, Kanban and SAFe (required) • Proficiency in Power BI for data visualization and reporting. (required) • Strong knowledge of SQL for data querying and manipulation. (required) • Strong knowledge of DAX (Data Analysis Expressions) for aggregating, filtering, and manipulating data. (required) • These skills are foundational for crafting data-driven strategies and turning raw data into actionable insights for business growth. • Experience with data preparation and ETL (Extract, Transform, Load) processes. (required) • Familiarity with statistical analysis and data modeling techniques. Preferred Qualifications/Technical Skills: • A degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline • Solid understanding of data governance and data quality management • Excellent communication and collaboration skills • Knowledge of programming languages such as Python or R for data analysis. (preferred) • Understanding of data warehousing concepts and tools. (preferred) • Strong Knowledge of Python (preferred) for data preprocessing tasks and building scientific models, which can be embedded in Power BI for automation and personalization of data analysis.