Business Intelligence Data Analyst
We are seeking a highly skilled Business Intelligence Data Analyst to join our team. As a Business Intelligence Data Analyst, you will be responsible for designing, developing, and maintaining robust data models to support analytical and product data needs across the organization.
You will build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets. Your collaboration with data engineers, data scientists, and business stakeholders will help you understand data requirements and translate them into scalable data solutions.
You will implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance. Additionally, you will own and define business KPIs, their measurement plans, data requirements, and reporting.
Responsibilities:
* Data Modeling: Design, develop, and maintain robust data models to support analytical and product data needs across the organization.
* Reporting and Dashboarding: Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets.
* Collaboration: Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions.
* ETL/ELT Processes: Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
* KPIs and Reporting: Own and define business KPIs, their measurement plans, data requirements, and reporting.
Requirements:
* 7+ Years of IT Experience: We require at least 7 years of experience in IT.
* Business Intelligence Experience: You should have at least 3 years of experience working in business intelligence, data analytics, or a similar role.
* SQL Skills: Strong SQL skills and experience with data modeling techniques are essential.
* Programming Language: Proficiency in a programming language such as Python or Scala is required.
* Tableau or Similar Tools: Experience building reporting and dashboarding solutions using Tableau, Sigma, or similar tools is necessary.
* Database Fundamentals: Expert knowledge of database fundamentals, SQL, and performance tuning is required.
Nice to Have:
* Real-time Data Processing: Experience with real-time data processing and streaming technologies would be an asset.
* Modern Data Warehousing: Familiarity with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau)
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