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Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Perform deep data analysis to identify trends and patterns in the data
- Design controls to detect data quality issues
- Work using Agile methodology to automate the controls using various tools/technologies
- Profile business, financial and reporting data through use of cutting edge data/analytic tools.
- Collaborate with various stakeholders to understand business needs, and create user stories and business requirements
Requirements
What you’ll need- 2+ years of professional work experience, with 2 years of analysis experience working in a data-rich industry (such as Banking, Insurance, Capital Markets, Retail etc.)
- Education in Science, Engineering, Business, Finance or any other analytical discipline or equivalent work experience
- Intermediate to advanced knowledge of data analysis methods and the ability to analyze and resolve complex data related issues.
- SQL skills (or other data analysis tools/packages) to extract data and perform various types of functions/operations to gain insight
- Excellent communication - strong verbal, written and presentation skills
- Attention to detail and ability to work independently and within a team
- Understanding of Data Quality concepts and processes (Nice-to-have)
- Understanding of basic Banking/Finance terms and processes (Nice-to-have)
- Understanding of data flows and processing (Nice-to-have)
- Experience using IBM’s DataStage or Information Analyzer software (Nice-to-have)
Benefits
Comp & perks- A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
- Leaders who support your development through coaching and managing opportunities
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
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 analysisdata qualitySQLdata analysis methodsdata extractiondata functionsdata processingdata flowsdata profilingdata automation
Soft Skills
communicationattention to detailteamworkindependencecollaborationpresentation skillsverbal skillswritten skills
