Corporate Strategic Resourcing
Senior Business Data Analyst
Corporate Strategic Resourcing, Charlotte, North Carolina, United States, 28245
Corporate Strategic Resourcing
Excellence in IT Leadership Talent
Senior Business Data Analyst
JOB SUMMARY•The Senior Business Data Analyst provides strategic and tactical support to the enterprise by analyzing and interpreting data for solutions.•Develops rules and methodologies for effective Data Management.•Uses knowledge of data analysis tools and other technology to provide data integration solutions.•They are responsible for the development of an in-depth understanding and analysis of the data requirements for projects and ad-hoc reporting and analysis needs.•This position influences senior management, technical leads and architects in achieving strategic goals by facilitating the data availability and quality of systems and processes.•Provides technical and professional assistance for less experienced team members.
QUALIFICATIONS•Bachelor's degree or equivalent and work experience defined as 7 or more years of overall experience with data analysis for major software systems.•Excellent knowledge of data requirements for the Railroad Industry.•Ability to quickly assess the impact of data changes on the business, application relationships and information flow.•Must be a self-starter with the skills required to be able to motivate and influence across all levels of the organization.•Ability to function as a thought leader for Microsoft Power BI.•Strong ability to facilitate collaboration among senior technical team members and senior business leaders.•Ability to use advanced analytic tools to develop predictive models.•Experience defining and implementing information and data architecture governance, including acting as a design authority for information and data within projects and programs.•Effective use of data analysis tools (SQL, Power BI, Tableau, etc.) to access and manipulate data across a range of database and information platforms.•Ability to lead, motivate and participate in cross functional teams, providing mentoring and support to junior team members.•Ability to define and manage the scope of data tasks and execute projects on time and within budget, escalating exceptions in a timely manner.•Excellent interpersonal and communications skills - lead, collaborate, facilitate, and negotiate as necessary.•Ability to work flexible hours during key implementation activities.
RESPONSIBILITIES•Responsible for both leading and participating in a team of analysts focused on the analysis, design, implementation, and follow up of the migration of data from the on-premises Enterprise Data Warehouse to the Azure Data Warehouse.•Leads and directs the work of others.•Lead research, planning, development and testing of data provisioning, analysis and ad-hoc reporting solutions.•Participates in developing the methodology for documenting data templates for various types of data.•The ability to extract and analyze data, patterns, and related trends, with the subsequent ability to synthesize the data into information consumable by senior business decisionmakers.•Reviews and ensures that major data architectural designs are consistent, maintainable, flexible and cost effective.•Understands industry trends, emerging technologies and standards in order to evolve the Standards and Roadmap.•Provides analysis to support development of vision, data strategy, data architecture and the overall design and development of Enterprise Data Warehouse as needed.•Provides consultation to application owners, business partners and peer groups regarding long and short-range data solutions that meet business requirements.•Diagnoses data problems effectively and determines solution options with consideration to business impact.•Adheres to enterprise architecture strategies, principals, standards, policies and procedures. Understands and ensures compliance with IT strategy.•Diagnose and fix bugs, performance and security issues•Ensure resources diagnose and fix bugs, performance and security issues•Document system architecture o Improve the overall quality and security of any related systems•Ensure access to data follows the principle of least privilege as required
Excellence in IT Leadership Talent
Senior Business Data Analyst
JOB SUMMARY•The Senior Business Data Analyst provides strategic and tactical support to the enterprise by analyzing and interpreting data for solutions.•Develops rules and methodologies for effective Data Management.•Uses knowledge of data analysis tools and other technology to provide data integration solutions.•They are responsible for the development of an in-depth understanding and analysis of the data requirements for projects and ad-hoc reporting and analysis needs.•This position influences senior management, technical leads and architects in achieving strategic goals by facilitating the data availability and quality of systems and processes.•Provides technical and professional assistance for less experienced team members.
QUALIFICATIONS•Bachelor's degree or equivalent and work experience defined as 7 or more years of overall experience with data analysis for major software systems.•Excellent knowledge of data requirements for the Railroad Industry.•Ability to quickly assess the impact of data changes on the business, application relationships and information flow.•Must be a self-starter with the skills required to be able to motivate and influence across all levels of the organization.•Ability to function as a thought leader for Microsoft Power BI.•Strong ability to facilitate collaboration among senior technical team members and senior business leaders.•Ability to use advanced analytic tools to develop predictive models.•Experience defining and implementing information and data architecture governance, including acting as a design authority for information and data within projects and programs.•Effective use of data analysis tools (SQL, Power BI, Tableau, etc.) to access and manipulate data across a range of database and information platforms.•Ability to lead, motivate and participate in cross functional teams, providing mentoring and support to junior team members.•Ability to define and manage the scope of data tasks and execute projects on time and within budget, escalating exceptions in a timely manner.•Excellent interpersonal and communications skills - lead, collaborate, facilitate, and negotiate as necessary.•Ability to work flexible hours during key implementation activities.
RESPONSIBILITIES•Responsible for both leading and participating in a team of analysts focused on the analysis, design, implementation, and follow up of the migration of data from the on-premises Enterprise Data Warehouse to the Azure Data Warehouse.•Leads and directs the work of others.•Lead research, planning, development and testing of data provisioning, analysis and ad-hoc reporting solutions.•Participates in developing the methodology for documenting data templates for various types of data.•The ability to extract and analyze data, patterns, and related trends, with the subsequent ability to synthesize the data into information consumable by senior business decisionmakers.•Reviews and ensures that major data architectural designs are consistent, maintainable, flexible and cost effective.•Understands industry trends, emerging technologies and standards in order to evolve the Standards and Roadmap.•Provides analysis to support development of vision, data strategy, data architecture and the overall design and development of Enterprise Data Warehouse as needed.•Provides consultation to application owners, business partners and peer groups regarding long and short-range data solutions that meet business requirements.•Diagnoses data problems effectively and determines solution options with consideration to business impact.•Adheres to enterprise architecture strategies, principals, standards, policies and procedures. Understands and ensures compliance with IT strategy.•Diagnose and fix bugs, performance and security issues•Ensure resources diagnose and fix bugs, performance and security issues•Document system architecture o Improve the overall quality and security of any related systems•Ensure access to data follows the principle of least privilege as required