Job Summary:
We are seeking a highly skilled Data Analyst to join our team. As a key member of the analytics department, you will be responsible for designing and developing robust data models, building reporting and dashboard products, and collaborating with stakeholders to understand data requirements.
Key Responsibilities:
* Design and Develop Data Models: Create complex data models to support analytical and product data needs across the organization.
* Build Reporting and Dashboard Products: Build visually appealing and high-performing reporting and dashboard products using tools like Tableau/Sigma.
* Collaborate with Stakeholders: Work with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions.
* Implement ETL/ELT Processes: Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance.
* Own Business KPIs: Own and define business KPIs, their measurement plans, data requirements, and reporting.
* Address Ad-Hoc Reporting Requirements: Address ad-hoc reporting requirements and find pathways for automation.
Requirements:
* 7+ Years of IT Experience: Requires 7+ years of IT experience.
* 3+ Years of Business Intelligence Experience: 3+ years of experience working in business intelligence, data analytics, or a similar role.
* Strong SQL Skills: Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault).
* Programming Language Proficiency: Proficiency in a programming language such as Python or Scala.
* Reporting and Dashboarding Experience: Experience building reporting and dashboarding solutions using Tableau, Sigma, or similar ecosystem.
* Database Fundamentals: Expert in database fundamentals, SQL, and performance tuning.
* Excellent Communication Skills: Excellent communication skills and experience working with technical and non-technical teams.
Nice to Haves:
* Real-Time Data Processing Experience: Experience with real-time data processing and streaming technologies.
* Modern Data Warehousing Platforms: Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
* Machine Learning Concepts: Familiarity with machine learning concepts and their data requirements.