Position Details
About this role
This role involves leveraging data analytics skills to develop and maintain data solutions, dashboards, and insights for business decision-making within a financial services environment.
Key Responsibilities
- Develop data solutions
- Create dashboards and visualizations
- Ensure data quality and lineage
- Collaborate with tech teams on data governance
- Explore new data technologies
Technical Overview
The technical environment includes data warehousing with Snowflake, scripting in Python and R, and utilizing BI tools for visualization. The role emphasizes data quality, metadata, and scalable data architecture.
Ideal Candidate
The ideal candidate is a mid-level data analyst with at least 2 years of experience in data warehousing, SQL, and scripting languages like Python or R. They should have strong skills in data quality, metadata, and visualization tools, with a focus on building scalable data solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Snowflake or data warehousing, No scripting experience in Python or R, Bachelor's degree not in a quantitative field, Less than 1 year of data analytics experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile