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Tech Stack
Tools & technologiesAmazon RedshiftETLSQL
About the role
Key responsibilities & impact- Gather data sources, analyze business requirements and translate into technical specifications for various business intelligence, data analytics and AI/ML projects.
- Design, implement and maintain extract, transform, load (ETL) data pipelines, AI chatbots and ML solutions.
- Develop business intelligence/data dashboards.
- Examine the data and information gleaned from the data gathering and modelling to provide recommendations for business solutions.
- Structure, review and validate analysis and designs; and producing project documentation and reports.
Requirements
What you’ll need- Master’s degree in Business Analytics, Data Analytics, Data Science, Engineering or related field.
- 12 months’ experience in Data Science, Data Analytics, Business Analytics field.
- Experience with Confluence, dbt, JIRA, Power Apps, Power Automate, Power BI, Power Platform, Qlik Sense, Redshift and Snowflake and SQL.
Benefits
Comp & perks- Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
- 3+ weeks of paid vacation.
- Flexible holiday schedule.
- Hybrid working arrangements that balance on-site and remote work.
- Opportunities for professional growth.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisbusiness intelligencedata analyticsAI/MLETLdata pipelinesmachine learningdata modelingSQLdata visualization
Soft Skills
communicationanalytical thinkingproblem solvingcollaborationattention to detail