Data Analyst
4 weeks ago
Job Description: No Supplier Call
No BR Flex
Rest of specifics similar to 74957-1
t bank, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988 Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
s a Data Analyst at bank you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:
Innovation
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Data Management
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Our ideal candidate will have:
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within AWS services
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date.
t least 3 years of experience in at least one scripting language
t least 1 year of experience utilizing a business intelligence visualization tool
t least 3 years of experience in querying and analyzing and working with data languages and platforms
Preferred Qualifications:
Master's Degree in a Science, Technology, Engineering, Mathematics discipline
t least 4 years of experience coding in Python, R, Spark, or SQL
t least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
t least 2 years of experience utilizing and developing within AWS services
t least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
Reason For Request:
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
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