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AVP Data Analyst at MUFG

AVP Data Analyst

@

MUFG

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Posted on: 
April 10, 2024
Status: 
Expired
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Summary of the AVP Data Analyst job at MUFG

MUFG is hiring a AVP Data Analyst with 5 - 10 years of experience. Based in United States - Tampa, FL and with Hybrid ways of working. The expected salary range for this role is $100,000 - $125,000
About MUFG

MUFG (Mitsubishi UFJ Financial Group) is one of the world's leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with over 2,500 locations in more than 50 markets including the Americas, Europe, the Middle East and Africa, Asia and Oceania. The Group has over 170,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. Through close partnerships among our group companies, the Group aims to be the world's most trusted financial group, flexibly responding to all of the financial needs of its customers, serving society, and fostering shared and sustainable growth for a better world.

AVP Data Analyst job description

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Major Responsibilities

  • Create new data analytics including the analysis of metrics and risk assessment results, where needed.
  • Identify opportunities to automate processes for compliance monitoring tool optimization and efficiencies Use statistical methods to analyze data and generate useful business reports
  • Work with management team to create a prioritized list of needs for each business segment
  • Identify and recommend new ways to save money by streamlining business processes
  • Work with department managers to outline the specific data needs for each business method analysis project
AVP Data Analyst job requirements

Qualifications

  • Bachelor's degree in Computer Science or a closely-related discipline
  • 5-7 years of experience using SQL, ETL, Informatica, and Python
  • Financial industry experience is desirable.
  • Knowledge in business processes across line of business, as well as technology disciplines, is very important.
  • Experience working with high-performing teams in complex program execution.
  • Good understanding of waterfall and agile methods, stakeholder management, budget management, risk management, and operations
  • Ability to create and maintain relationships with a wide range of stakeholders
  • Good project management experience within technology organization
  • Hands on project and program management experience; track record of project go live implementations
  • 1-2 years of Technology infrastructure or application development experience
  • An intermediate knowledge of data model theory, database design, structured query language (SQL), and related data warehousing practices
  • Experience with any BI tool- Preferably, Cognos and Tableau and their respective consumption of data is preferred
  • Use of other data modeling tools will be considered with the core skill set: advanced SQL, Python (descriptive / predictive models), and Tableau Viz
  • Streamline and automate processes to ensure data lineage, consistency, integrity, and transparency
  • Have experience with aspects of requirements analysis, traceability, and testing for enhancements and projects that are small, medium, or large in size and/or complexity, while supporting those functions for large cross-functional or enterprise-wide initiatives
  • Assist the Lead Analyst in performing day-to-day operational support;
  • Assist in the design and delivery of solutions that support the fundamental data and governance process
  • Handle multiple simultaneous data and reporting projects
  • Understand and translate business needs into data models supporting long-term solutions
  • Work with application developers to implement data strategies, build data flows, and develop conceptual data models
  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
  • Optimize and update logical and physical data models to support new and existing projects
  • Maintain conceptual, logical, and physical data models along with corresponding metadata
  • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models
  • Recommend opportunities for reuse of data models in new environments
  • Perform reverse engineering of physical data models from databases and SQL scripts
  • Evaluate data models and physical databases for variances and discrepancies
  • Validate business data objects for accuracy and completeness
  • Analyze data-related system integration challenges and propose appropriate solutions
  • Develop data models according to company standards
  • Advise colleagues and stakeholders on project limitations and capabilities, performance requirements, and interfaces
What we offer at MUFG

The typical base pay range for this role is between $100K - $125K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays.

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Average data analyst salary in the Financial industry is $109,458.
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MUFG

MUFG

is hiring

AVP Data Analyst

Website:
Posted on: 
June 14, 2024

About Our Company

MUFG (Mitsubishi UFJ Financial Group) is one of the world's leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with over 2,500 locations in more than 50 markets including the Americas, Europe, the Middle East and Africa, Asia and Oceania. The Group has over 170,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. Through close partnerships among our group companies, the Group aims to be the world's most trusted financial group, flexibly responding to all of the financial needs of its customers, serving society, and fostering shared and sustainable growth for a better world.

Job Description & Responsibilities

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Major Responsibilities

  • Create new data analytics including the analysis of metrics and risk assessment results, where needed.
  • Identify opportunities to automate processes for compliance monitoring tool optimization and efficiencies Use statistical methods to analyze data and generate useful business reports
  • Work with management team to create a prioritized list of needs for each business segment
  • Identify and recommend new ways to save money by streamlining business processes
  • Work with department managers to outline the specific data needs for each business method analysis project

Requirements

Qualifications

  • Bachelor's degree in Computer Science or a closely-related discipline
  • 5-7 years of experience using SQL, ETL, Informatica, and Python
  • Financial industry experience is desirable.
  • Knowledge in business processes across line of business, as well as technology disciplines, is very important.
  • Experience working with high-performing teams in complex program execution.
  • Good understanding of waterfall and agile methods, stakeholder management, budget management, risk management, and operations
  • Ability to create and maintain relationships with a wide range of stakeholders
  • Good project management experience within technology organization
  • Hands on project and program management experience; track record of project go live implementations
  • 1-2 years of Technology infrastructure or application development experience
  • An intermediate knowledge of data model theory, database design, structured query language (SQL), and related data warehousing practices
  • Experience with any BI tool- Preferably, Cognos and Tableau and their respective consumption of data is preferred
  • Use of other data modeling tools will be considered with the core skill set: advanced SQL, Python (descriptive / predictive models), and Tableau Viz
  • Streamline and automate processes to ensure data lineage, consistency, integrity, and transparency
  • Have experience with aspects of requirements analysis, traceability, and testing for enhancements and projects that are small, medium, or large in size and/or complexity, while supporting those functions for large cross-functional or enterprise-wide initiatives
  • Assist the Lead Analyst in performing day-to-day operational support;
  • Assist in the design and delivery of solutions that support the fundamental data and governance process
  • Handle multiple simultaneous data and reporting projects
  • Understand and translate business needs into data models supporting long-term solutions
  • Work with application developers to implement data strategies, build data flows, and develop conceptual data models
  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
  • Optimize and update logical and physical data models to support new and existing projects
  • Maintain conceptual, logical, and physical data models along with corresponding metadata
  • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models
  • Recommend opportunities for reuse of data models in new environments
  • Perform reverse engineering of physical data models from databases and SQL scripts
  • Evaluate data models and physical databases for variances and discrepancies
  • Validate business data objects for accuracy and completeness
  • Analyze data-related system integration challenges and propose appropriate solutions
  • Develop data models according to company standards
  • Advise colleagues and stakeholders on project limitations and capabilities, performance requirements, and interfaces

What we offer

The typical base pay range for this role is between $100K - $125K depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays.

Apply now

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