Business Intelligence Analyst - Mid-Level

Title: Business Intelligence Analyst - Mid-Level

Duration: 6+ Months

Location: 100% remote

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.