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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
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