Business Data Analyst II Job at Colas USA, Morristown, NJ

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  • Colas USA
  • Morristown, NJ

Job Description

Data Business Analyst, II (BA II), is responsible for contributing to the development and execution of data solutions to support organizational decision-making. This position requires proficiency in mapping intermediate and simple PowerBI solutions independently and the capability to tackle more complex projects with guidance. The BAII will also play a crucial role in creating ReportsNow solutions and data dumps tailored to stakeholder needs, ensuring that the information delivered is accurate, relevant, and actionable.

Key Responsibilities

  • Take ownership of projects from inception to completion, encompassing design, development, validation, documentation, and successful go-live execution.
  • Strategically plan business analysis initiatives and establish methods for effective requirement management, with a special focus on data governance and reporting standards.
  • Actively engage in solution development, ensuring alignment with business requirements and objectives while facilitating continuous feedback from stakeholders.
  • Implement data management strategies that ensure data integrity, accuracy, and accessibility across the organization.
  • Develop and maintain reporting frameworks that deliver actionable insights and support data-driven decision-making.
  • Ensure adherence to company policies, procedures, and guidelines throughout all stages of the project.
  • Maintain a focus on quality assurance and testing requirements, ensuring all solutions delivered meet predefined standards.
  • Create ad-hoc ReportsNow reporting solutions for customers.

Required Skills and Qualifications

  • A minimum of 5 years of relevant industry experience, with a strong focus on data analysis and reporting.
  • Extensive knowledge of software applications and a robust background in Information Systems and data management.
  • Proficient application and system analysis skills, with experience in data governance and data quality management.
  • Demonstrated product ownership capabilities, including:
  • Proactively identifying opportunities for software and process improvement.
  • Leading initiatives and enhancements from concept to execution.
  • Exceptional communication skills, with the capacity to articulate application functionality and data insights through documentation, presentations, and workshops.
  • Ability to present complex information to non-technical audiences.
  • Proven ability to manage multiple projects simultaneously, including:
  • Supporting existing projects through solution implementation and integration.
  • Driving small-scale improvement initiatives focused on data reporting.
  • Implementing new applications with integrations into existing data structures and processes.
  • Coordinating the efforts of other analysts on business integration projects, analyzing enterprise architecture, and collaborating across diverse teams.

Desired Skills

  • Proficiency in Microsoft Office Suite, particularly Excel and PowerBI.
  • Ability to quickly understand business structures, processes, and strategies.
  • In-depth functional knowledge of application and module capabilities, as well as their constraints, particularly in the context of data management.
  • Quick comprehension of system/application configurations and setups related to data storage and retrieval.
  • Strong process-oriented mindset, focusing on creating repeatable procedures that enhance efficiency across tasks, regardless of assignment.
  • The ability to foster productive working relationships with various teams across the organization, emphasizing collaboration around data-driven projects.
  • Inquisitive nature, adept at uncovering underlying business needs and extracting pertinent information regarding product and project requirements, particularly related to data reporting and analysis through stakeholder engagement.
  • Strong analytical skills and problem-solving skills, capable of organizing, specifying, and modeling requirements to ensure clarity and comprehensiveness, especially in the context of data utilization.

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