Updated: July 19, 2024 - The Business Intelligence Specialist collaborates with Agile squads within a department to develop cutting-edge, data-driven solutions for EUT products and services, primarily using the Microsoft Business Intelligence stack. This role emphasizes automation, adherence to documentation standards, and integration of new technologies like cloud/Azure to enhance business functions. The specialist supports advanced analytics, drives data-driven decision-making across various departments, and provides strategic advice to optimize business outcomes through data insights and the establishment of Objectives and Key Results.
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Tips for BI Specialist Skills and Responsibilities on a Resume
1. BI Specialist Resume Format
Job Summary:
- Designs and develops BI analytical and reporting solutions based on user needs by leveraging the knowledge of data sources, reporting best practices and tool capabilities.
- Actively participates in requirement meetings with end-users to understand BI analytical and reporting needs.
- Assists in the rollout, maintenance and ongoing administration of BI analytical and reporting solutions.
- Creates documentation including standards, design, functional and technical specifications, disaster recovery plans, etc.
- Writes moderately complex structured query language (SQL).
- Coordinates changes with other areas of the IT department as appropriate.
- Delivers status updates and technical transparency through effective communication both written and oral to Technical Leads and Leaders.
- Coaches and mentors less experienced BI Specialist team members and off shore vendors.
- Monitors and reviews operating statistics for conformance to performance standards and overall system performance goals. Performs tuning
- Participates in creating, maintaining, and managing Asset Management Plans.
- Assists end-users with technical support.
- Participates in disaster recovery tests.
- Travels occasionally to participate in special assignments, training, and/or travel between office locations.
Skills on Resume:
- Data Analysis and Design Skills (Hard Skills)
- Database Management (Hard Skills)
- Project Coordination (Soft Skills)
- Technical Communication (Soft Skills)
- Training and Mentoring (Soft Skills)
- Performance Monitoring (Hard Skills)
- Risk Management (Hard Skills)
- Flexibility and Adaptability (Soft Skills)
2. Business Intelligence Specialist Resume Model
Job Summary:
- Work closely with the Product teams to create models and standard reports and share knowledge on maintenance
- Work closely with Digital Transformation engineer so use data from the data platform in various international use-case initiatives
- Create first Power BI models and co-create reports from data platform
- Collaborate with internal international companies to create insights and use-cases as a solution expert
- Become a Power BI Product Owner, responsible for the health, usage and security of the Power BI platform service
- Train users and share knowledge in the active Digital Analytics and Insights Community
- Implement procedures for data handling and analysis
- Develop reports and dashboards using Power BI
- Drive improved decision-making and evidence-based conclusions through the design of Power BI applications
- Serve as an analytics expert to teams and stakeholders providing insights and recommendations, and finding solutions to complex analytical problems
- Via training and support, build stakeholders’ capabilities with the regards to analytical thinking and utilization of self-service tools
- Collaborate with the data warehousing team to model data optimally for efficient consumption by Power BI
- Build up personal expertise in business and data models
Skills on Resume:
- Data Modeling and Reporting (Hard Skills)
- Business Intelligence Tools Expertise (Hard Skills)
- Stakeholder Engagement (Soft Skills)
- Cross-Functional Collaboration (Soft Skills)
- Data Analysis (Hard Skills)
- Project Management (Soft Skills)
- Data Security and Governance (Hard Skills)
- Continual Learning and Adaptation (Soft Skills)
3. Business Intelligence Specialist Resume PDF Editor
Job Summary:
- Work within chapter's Agile squad or embedded in other squads throughout department as a data SME to help build next-generation of data-driven solutions for EUT products and services using appropriate tools and methods
- Use primarily the Microsoft Business Intelligence stack and similar products to provide and ensure continued accurate timely data to customers or via feeds into other systems
- Drive automation of our tooling to reduce or eliminate recurring tasks
- Aid and enforce documentation standards, SDLC and Agile methods
- Bring new skills into the team especially cloud/Azure as well as learn from others
- Help select, specify and implement new capabilities and technologies to support our functions
- Working with stakeholders on advanced analytics topics across marketing, category management, tech and more.
- Support developing a data driven culture
- Driving data driven decision making (DDDM) and analyzing patterns and facts from these insights to influence measurable goals, strategies and activities that benefit the business in a number of areas.
- Delivering data capability through advanced BI to enable the business with data driven decision making.
- Provide strategic advice to senior management to assist with informed decisions that will lead to commercial growth, evolution, and an increased bottom line.
- Using data to advise the business on defining and setting OKRs (objectives and key results).
- Participating in reviewing the success of OKRs through data insights following implementation.
Skills on Resume:
- Agile and SDLC Proficiency (Hard Skills)
- Microsoft Business Intelligence Stack (Hard Skills)
- Automation Skills (Hard Skills)
- Standards Enforcement (Soft Skills)
- Cloud and Azure Technologies (Hard Skills)
- Decision Support (Hard Skills)
- Strategic and Advisory Capabilities (Soft Skills)
- Data Culture Advocacy (Soft Skills)
4. BI Specialist Resume Template
Job Summary:
- Establish patterns and trends with the process of non-conformances raised by the staff to drive improvement opportunities (NCR Program).
- Coordinate the data collection for the quality department on focus areas, such as assembly rework, inspection rejections, engineering design issues, missing parts, warranty, non-conformances, redlines (engineering design changes), etc…
- Work with Quality Engineers on special projects on process enhancements.
- Support and improve upon quality policies, practices, and procedures.
- Support ever-improving results by leveraging ATS Business Model (ABM) tools in a hands-on environment to help use data to find new opportunities for the company.
- Work with the Continuous Improvement department on data collection for Kaizen Events and Problem-Solving Events.
- Assist functional teams at the site/division to define and collect Key Performance Indicators (KPI’s) and the 8 Value Drivers to help the company continuously improve.
- Collect and trend Daily Visual Management (DVM) data to help support and create change opportunities for the continuous improvement project funnel.
- Prepare reports and charts to convey the status of these activities.
- Dealing with 2 main corporate BI tools – SAP Business Objects and Tableau.
- Analyzing data and creating BO reports / Tableau dashboards
- Interpret business needs to BI solution which will help people to make decisions
Skills on Resume:
- Data Analysis and Reporting (Hard Skills)
- Project Management (Soft Skills)
- Problem Solving (Soft Skills)
- Process Improvement (Hard Skills)
- Quality Control and Assurance (Hard Skills)
- Communication and Collaboration (Soft Skills)
- Trend Identification (Hard Skills)
- Business Intelligence Development (Hard Skills)
5. BI Specialist Resume Sample
Job Summary:
- Define the short and long-term strategies for data management to ensure effective delivery of information that meets current and future requirements.
- Develop, implement, and maintain all data management policies and procedures, including those for enterprise data warehouse, Clinical Metrics and Registry Management
- Develop Data Governance policies and identify gaps in current data management processes and standards.
- Sets technical direction for the overall MDM solution architecture, defines component architecture, reviews detailed designs for accuracy and overall compliance to defined architecture across the complete data lifecycle
- Build and maintain relationships with cross-functional leaders owning different data systems
- Manage the ongoing quality and application of data supporting the organization, ensuring high quality data and appropriate use.
- Address inquiries from internal and external teams and investigate and resolve data discrepancies.
- Effectively communicate with internal stakeholders to build confidence in the accuracy and quality of data, and work collaboratively to address perceived gaps in the data
- Collaborate with colleagues on data validation and data coordination activities.
- Ensure that the data management processes are well understood and documented to ensure continuity and stability.
- Participate in the evaluation of new data sources to determine fit within the overall Parkview data strategy.
- Assist in the direct acquisition of data.
- Advise business teams on best data sources to leverage for a given business question or insight.
- Manage all data vendor relationships and associated contracts, SLAs, etc.
Skills on Resume:
- Strategic Planning for Data Management (Hard Skills)
- Policy Development and Governance (Hard Skills)
- Cross-functional Collaboration (Soft Skills)
- Data Quality Management (Hard Skills)
- Stakeholder Management (Soft Skills)
- Vendor Management (Hard Skills)
- Analytical and Advisory Skills (Hard Skills)
6. BI Specialist Resume PDF Maker
Job Summary:
- Design, development and delivery of complex enterprise analytics solutions using Power BI and the Microsoft Data Platform
- Work within an Agile delivery/DevOps methodology to deliver proof of concept and production implementations in iterative sprints
- Serve as a subject matter expert on Power BI
- Keep abreast of, learn and evaluate new analytics technologies and Power BI capabilities in order to improve the enterprise data platform, provide guidance to the team and users
- Develop and maintain Power BI architecture and configurations (e.g. Power BI admin settings, Premium nodes)
- Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access
- Utilizing the navigation features in Power BI (e.g. bookmarks, drill throughs) to guide readers and formulate compelling data-driven stories
- Set up documentation for Power BI development policies, best practices, standards and procedures
- Communicate important information and insights to business stakeholders
- Working closely with stakeholders, gathering requirements and translating them
- Shaping and overseeing continued governance of our Power BI environment including advising on licensing, sharing, training and support.
- Influencing and supporting data-driven culture activities.
Skills on Resume:
- Agile and DevOps Methodologies (Soft Skills)
- Analytical and Technical Acumen (Hard Skills)
- System Architecture and Administration (Hard Skills)
- Data Visualization and Storytelling (Hard Skills)
- Documentation and Standards (Hard Skills)
- Stakeholder Engagement (Soft Skills)
- Data Governance and Strategy (Soft Skills)
7. Business Intelligence Specialist Resume Download
Job Summary:
- Work collaboratively with key stakeholders across the business to gather and translate business requirements into technical reports and dashboard specifications.
- Utilises BI analysis tools to analyze large datasets with a particular focus on financial data and media, to present compelling insights inappropriate visual formats
- Understands and queries disparate data sources, including relational structures, dimensional data models, source systems, and reporting views to support BI product development.
- Work closely with infrastructure, integrations, and business platforms teams across a range of connector types, ensuring best-practice source system data ingestion into BI tools.
- Supports the development and ongoing execution of overarching data quality management strategy and governance, continuously seeking to improve policies and procedures relevant to area.
- Develop and maintain internal professional relationships for the purpose of facilitating efficiencies in work outcomes
- Contribute to planning activities against the Business Insights Roadmap to drive better outcomes for our organization.
- Training end users on new reports and dashboards
- Contribute to improved data literacy for the organization
- Upholds high standards of quality assurance against deliverables.
- Proven understanding and experience of Business Intelligence and Data visualization tools, which could include PowerBI, Tableau, Datarama, Google Data Studio, etc.
- Users/management and maintenance
- Improvement of the existing BI solution in cooperation with the end-users and business application owner
- Consulting users on processes and key BI solutions.
Skills on Resume:
- Data Analysis and Visualization (Hard Skills)
- Project Management (Soft Skills)
- Stakeholder Management (Soft Skills)
- Data Quality Management (Hard Skills)
- Training and Development (Soft Skills)
- Innovative Thinking (Soft Skills)
- Quality Assurance (Hard Skills)
8. BI Specialist Resume Online Editor
Job Summary:
- Working with Business Analysts, data engineers, BI developers and directly with stakeholders in the development, enhancement and maintenance of business intelligence dashboard and database management.
- Management of data systems including server management, ETL process, running queries and performance management
- Manage data projects and assignments, including building data models and acting as primary developer, technical lead, and subject matter expert
- Working with business analysts in the creation of data requirements, and owning the creation of data and system requirements for smaller initiatives
- Working with low code/ no code tools to develop data intake solutions including Power apps, Power automate, amongst others
- Working with other organizations within Manulife, such as integrating solutions with AWD, Apollo or working as part of data engineering squad
- Coach & mentor more junior staff and review work product for quality and the following of best practices
- Providing System Support Consulting
- Identify risks and mitigation strategies
- Educate staff on new processes and tools.
Skills on Resume:
- Project Management Skills (Soft Skills)
- Technical Expertise in Data Management (Hard Skills)
- Low Code Platforms (Hard Skills)
- Collaborative and Interpersonal Skills (Soft Skills)
- Technical Leadership and Expertise (Hard Skills)
- Coaching and Mentoring (Soft Skills)
- Risk Management (Hard Skills)
- Training and Education (Soft Skills)