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business analyst, reporting
business analyst, reporting-July 2024
Durham
Jul 14, 2025
About business analyst, reporting

  business analyst, reporting.

  durham , north carolina (remote)

  posted 1 day ago

  job details

  summary

  $55 - $65 per hour

  contract

  bachelor degree

  category computer and mathematical occupations

  reference1039708

  job details

  job summary:

  This multi-faceted role encompasses independent management of the full development life cycle (from ideation to deployment & maintenance/support) of business intelligence (BI) products/reports/datasets, both at the micro and macro levels within the enterprise. It involves adherence to compliance and audit requirements for structured and self-service reporting platforms, fostering a data analytics framework, and supporting fellow IT departments and a community of practice for non-IT superusers in BI development. Deliverables include BI products, consultation and training that employ BI to support streamlining and improvement of business processes towards enterprise defined goals/objectives. In addition to typical business analyst responsibilities, this role ensures that data domain development aligns with other related enterprise products spanning across multiple departments, separate systems and platforms , and reinforces and promotes enterprise-level data strategy, security, architecture/warehousing, sustainability, scalability, and optimizing data operations, stewardship, governance, and master data management. This involves ing intermediate project management, BI analysis, data analysis, problem-solving, strategic and human design thinking, process engineering, storytelling and change management to team-managed report products while facilitating the development of these skills for superusers and other developers/vendors, ensuring the use of curated, high-quality enterprise data domain products.

  Accountabilities/Responsibilities

  Deliverables include BI products, consultation and training, streamlining and improvement of business processes towards enterprise defined goals/objectives. - Product Owner/Lead: Manages the entire lifecycle of enterprise data domains and business intelligence solutions, from concept to deployment, with some supervision. This includes gathering requirements, creating wireframes, developing proof of concept, and conducting and user acceptance testing. Collaborates with stakeholders to prioritize and strategize. Oversees backlog and release management. Identifies key interactions and data dependencies across separate systems and platforms. Documents functional and architectural design elements. Works closely with internal and external technical staff, cross-functional teams, vendors and/or domain specific subject matter experts during development. - User support / ticket management: Responds and follows up on ISS work intake requests and provides client support by researching solutions, maintaining open communication with clients and the project team, tracking defects, performing solution maintenance and ongoing documentation, and provides ad hoc training as needed. - Data Translation/User Training: Develops written guidance/materials and conducts product demonstrations and trainings for end-users. Provides consultation and facilitates collaborative learning of citizen developers/superusers to do the same. Writes and edits product, project and system documentation, user manuals, and multi-media training materials for report owners and end-users. - Data Storytelling and Change Management: Co-creates products with valid, compelling narratives that inform, influence, or inspire an audience, with supporting evidence by employing data, visualizations, communication, user analysis, user interface design and user experience/workflow functionality. Provides consultation and facilitates collaborative learning of citizen developers / superusers to do the same. Supports strategic change management using a holistic, curated program of tools, communication, materials and events in alignment with department/report owners and enterprise user groups to improve user experience, adoption and capacity as a whole. - Enterprise Data Analytics & Stewardship: Performs descriptive / predictive / diagnostic analytics (including AI or machine learning) and validation of enterprise data assets, follow, reinforces and enhances team standards for data security, quality, standards, access and usability and alignment with department goals and strategy and alignment with enterprise data strategy. In keeping with Contractor stakeholder requirements and affected business processes, collaborates with data warehouse engineers/architects on modeling, acquisition/integration, and transformation approaches. Resolutions must account for upstream/lateral/downstream dependencies or effects or implications across the whole data warehouse or development operations (DevOps), concurrent or pending business intelligence product development or other ISS projects, and related and adjacent business processes. Solutions must consider product-specific purpose and requirements and all other business intelligence products under team management or development. - Enterprise Data Operations (DataOps): Follows and suggests improvements to DataOps processes by using operations research/decision science/data science techniques and tools that support enterprise analytics/KPIs and promote enterprise-level data quality, not just project-specific data quality. This includes enterprise/multi-department engagement with stakeholders/data to facilitate widespread organization knowledge, strategy and change initiatives and development of standards/protocols. - Enterprise Data Governance: Independently identifies and raises data governance and master data management issues and collaborates with developers, analysts and data or process stewards or system owners to identify, diagnose, and document problems and supports sustainable or future state solutions. Continually supports and promotes data quality and governance in all aspects of work. - Follows, reinforces and promotes team standards for continuous process improvement, quality data products, and enterprise data management and governance. - Follows, reinforces and promotes organizational diversity, equity and inclusion principles in all internal and external interactions. - Researches, tests and develops new tools such as; predictive/diagnostic Analytics or AI /machine learning. - Continually develops knowledge of a client's business processes and objectives in order to help the client in a problem-solving role to assess user requirements, procedures, and problems to create or improve a system or solution. - Performs other duties assigned. Applied Knowledge & Skills - Demonstrates excellent analytical skills regarding data quality, process/system improvement, user support and enterprise/departmental strategy - Demonstrates excellent written and oral communication skills. - Demonstrates negotiation, problem solving and conflict resolution skills. - Demonstrates strong presentation and facilitation skills. - Demonstrates strong project management skills. - Organizes and follows complex and/or detailed technical procedures, processes and standards. - Demonstrates knowledge and experience with writing requirement documents, and test scripts. - Manages projects involving own work and under minimal direction. - Works independently on tasks, develops own work schedule and monitors progress against defined parameters. - Serves as a collaborative and productive project team member by completing assigned tasks. - Serves as a collaborative representative of the team with other peers, clients/project stakeholders and data or system owners and stewards. - Provides quality customer service support to end users, including troubleshooting and develops and updates user guides. - Demonstrates and improves in-depth knowledge of organization and relationships (formal and informal). - Understands basic operation of functional unit and develops awareness of its role in the enterprise. - Reads, writes and speaks English; fluent in host country language as appropriate.Experience

  Typically requires 5 - 8 years of work experience (Years of Experience/Education as BI analyst + project management work, Business Systems Analyst, Data Analyst + Project Management work OR BI developer + project management work; majority of experience should be on the job and not academic. Related graduate level coursework may be counted. - The following might be considered to partially substitute for work experience: internal/external consultancy or management of others; Data Science/Analytics specific certification/degree; Project Management, Scrum mastery or Six Sigma (yellow belt+) /Lean management certificatelocation: DURHAM, North Carolina

  job type: Contract

  salary: $55 - 65 per hour

  work hours: 8am to 4pm

  education: Bachelors

  responsibilities:

  Accountabilities/Responsibilities - Deliverables include BI products, consultation and training, streamlining and improvement of business processes towards enterprise defined goals/objectives. - Product Owner/Lead: Manages the entire lifecycle of enterprise data domains and business intelligence solutions, from concept to deployment, with some supervision. This includes gathering requirements, creating wireframes, developing proof of concept, and conducting and user acceptance testing. Collaborates with stakeholders to prioritize and strategize. Oversees backlog and release management. Identifies key interactions and data dependencies across separate systems and platforms. Documents functional and architectural design elements. Works closely with internal and external technical staff, cross-functional teams, vendors and/or domain specific subject matter experts during development. - User support / ticket management: Responds and follows up on ISS work intake requests and provides client support by researching solutions, maintaining open communication with clients and the project team, tracking defects, performing solution maintenance and ongoing documentation, and provides ad hoc training as needed. - Data Translation/User Training: Develops written guidance/materials and conducts product demonstrations and trainings for end-users. Provides consultation and facilitates collaborative learning of citizen developers/superusers to do the same. Writes and edits product, project and system documentation, user manuals, and multi-media training materials for report owners and end-users. - Data Storytelling and Change Management: Co-creates products with valid, compelling narratives that inform, influence, or inspire an audience, with supporting evidence by employing data, visualizations, communication, user analysis, user interface design and user experience/workflow functionality. Provides consultation and facilitates collaborative learning of citizen developers / superusers to do the same. Supports strategic change management using a holistic, curated program of tools, communication, materials and events in alignment with department/report owners and enterprise user groups to improve user experience, adoption and capacity as a whole. - Enterprise Data Analytics & Stewardship: Performs descriptive / predictive / diagnostic analytics (including AI or machine learning) and validation of enterprise data assets, follow, reinforces and enhances team standards for data security, quality, standards, access and usability and alignment with department goals and strategy and alignment with enterprise data strategy. In keeping with Contractor Requisition: Business Intelligence Analyst II Last Revised: January 2024 Page 2 of 4 stakeholder requirements and affected business processes, collaborates with data warehouse engineers/architects on modeling, acquisition/integration, and transformation approaches. Resolutions must account for upstream/lateral/downstream dependencies or effects or implications across the whole data warehouse or development operations (DevOps), concurrent or pending business intelligence product development or other ISS projects, and related and adjacent business processes. Solutions must consider product-specific purpose and requirements and all other business intelligence products under team management or development. - Enterprise Data Operations (DataOps): Follows and suggests improvements to DataOps processes by using operations research/decision science/data science techniques and tools that support enterprise analytics/KPIs and promote enterprise-level data quality, not just project-specific data quality. This includes enterprise/multi-department engagement with stakeholders/data to facilitate widespread organization knowledge, strategy and change initiatives and development of standards/protocols. - Enterprise Data Governance: Independently identifies and raises data governance and master data management issues and collaborates with developers, analysts and data or process stewards or system owners to identify, diagnose, and document problems and supports sustainable or future state solutions. Continually supports and promotes data quality and governance in all aspects of work. - Follows, reinforces and promotes team standards for continuous process improvement, quality data products, and enterprise data management and governance. - Follows, reinforces and promotes organizational diversity, equity and inclusion principles in all internal and external interactions. - Researches, tests and develops new tools such as; predictive/diagnostic Analytics or AI /machine learning. - Continually develops knowledge of a client's business processes and objectives in order to help the client in a problem-solving role to assess user requirements, procedures, and problems to create or improve a system or solution. - Performs other duties assigned.

  qualifications:

  Experience level: Experienced

  Minimum 5 years of experience

  Education: Bachelors

  skills:

  Business Intelligence

  SQL (3 years of experience is required)

  Business Analysis (3 years of experience is required)Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected] offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).Applications accepted on ongoing basis until filled.

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