BI Data Analyst Job Description
We are seeking a highly skilled Business Intelligence Data Analyst to join our team. The ideal candidate will have 7+ years of IT experience and a strong background in business intelligence, data analytics, or data engineering.
About the Role
This is a long-term position working remotely for a global leader in consulting, digital transformation, technology, and engineering services. The end client is in the retail space.
Responsibilities:
* Design, develop, and maintain robust data models to support analytical and product data needs across the organization.
* Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets.
* Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions.
* Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
* Own and define business KPIs, their measurement plans, data requirements, and reporting.
* Build processes to ensure correct, timely, and reliable reporting.
* Address ad-hoc reporting requirements and find pathways for automation.
* Build and enforce common design patterns to increase report reusability, readability, and standardization.
Requirements
The ideal candidate will possess the following skills and qualifications:
* 7+ years of IT experience.
* 3+ years experience working in business intelligence, data analytics, Data engineering, or a similar role.
* Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault).
* Proficiency in a programming language such as Python or Scala.
* Experience building reporting and dashboarding solutions using Tableau, Sigma, Data Lake/Snowflake, or similar ecosystem.
* Expert in Database fundamentals, SQL, and performance tuning.
* Excellent communication skills and experience working with technical and non-technical teams.
Nice to Have Skills
The following skills are desirable but not required:
* Experience with real-time data processing and streaming technologies.
* Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
* Familiarity with machine learning concepts and their data requirements.