Job Title: Data Analysis Specialist
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This is a long term position that involves working with data to support analytical and product data needs across the organization.
The ideal candidate will have strong SQL skills and experience with data modeling techniques, as well as proficiency in a programming language such as Python or Scala.
You will be responsible for designing, developing and maintaining robust data models, building visually appealing reporting/dashboard products using tools like Tableau/Sigma, collaborating with data engineers, data scientists and business stakeholders to understand data requirements and translate them into scalable data solutions.
Responsibilities:
* Data Modeling: Design and develop robust data models to support analytical and product data needs across the organization.
* Reporting/Dashboarding: Build visually appealing, high-performing and impactful reporting/dashboard products using tools like Tableau/Sigma.
* Collaboration: Collaborate with data engineers, data scientists and business stakeholders to understand data requirements and translate them into scalable data solutions.
* ETL/ELT: Implement and optimize ETL/ELT processes to ensure data quality, reliability and performance.
* KPIs: Own and define business KPIs, their measurement plans, data requirements and reporting.
* Reporting Processes: Build processes to ensure correct, timely and reliable reporting.
* Ad-Hoc Reporting: Address ad-hoc reporting requirements and find pathways for automation.
* Standardization: Build and enforce common design patterns to increase report reusability, readability and standardization.
Requirements:
* 7+ Years of IT Experience
* 3+ Years of Business Intelligence/Data Analytics Experience
* Strong SQL Skills and experience with data modeling techniques.
* Programming Language Proficiency (e.g. Python, Scala).
* Experience with Reporting/Dashboarding Tools (e.g. Tableau, Sigma).
* Database Fundamentals and SQL expertise.
* Excellent Communication Skills.
Nice to Have:
* Real-Time Data Processing Experience
* Modern Data Warehousing Platforms (e.g. Snowflake, DataBricks, Redshift) and Data Visualization Tools (e.g. Looker, Tableau)
* Machine Learning Concepts familiarity.