BUSINESS INTELLIGENCE JOB DESCRIPTION

Business Intelligence transforms data into actionable insights through analytics, reporting, and visualization, enabling organizations to make informed decisions, optimize performance, and drive strategic growth.

An Overview of Business Intelligence Job Description Responsibilities and Qualifications

1. The Business Intelligence Analyst drives end-to-end data analysis and reporting across Ground Operations and Sales, delivering scalable insights, automated workflows, and high-integrity data solutions that inform strategic decisions and improve business performance.

Business Intelligence Analyst Duties:

  • Work on daily and weekly analysis on designing projects, workflows and experiments to inform important strategic decisions.
  • Create, maintain, and optimize weekly, monthly and quarterly reporting.
  • Prepare, deliver reports, presentations and data visualizations for cross- functional teams in Ground Operations and Sales.
  • Query data to analyze, monitor, and investigate trends. Review and create data models and queries while performing weekly and ad-hoc analysis.
  • Analyze the details on how metrics are calculated, and ensure that the data source matches the needs of the business.
  • Implement Automation of manual data extracts and other manual reporting activities.
  • Improve quality controls by verifying accuracy and integrity of the data in a variety of reporting platforms to drive improved insights and reporting.
  • Assist in analyzing large and complex data sets with the ability to draw conclusions and provide meaningful insights.
  • Create documentations on all projects using pre-defined templates and keep documentation up to date on existing reports


Business Intelligence Analyst Requirements:

  • Bachelor's degree in Business, Engineering or Technology, required
  • 2+ years of experience
  • Experience with Advanced Excel, Access or other scripting tools.
  • Strong Knowledge in SQL, data-mapping and modelling.
  • Knowledge in BI data visualization and analytical tools.
  • Strong critical thinking, problem-solving, analytical skills and debugging skills, sufficient to provide accurate problem analysis to business unit and follow up with documentation.
  • Good team player and ability to work independently.
  • Curiosity and drive to solve problems.
  • Ability to learn new technologies.
  • Strong written and communication skills.


To better present your analytical background and achievements, a well-structured Business Intelligence Resume helps employers quickly understand your data-driven impact.

2. The Business Intelligence Architect leads enterprise BI architecture and platform strategy across data warehousing and analytics, delivering scalable, secure, and high-performance solutions that enable advanced reporting, automation, and data-driven decision-making.

Business Intelligence Architect Roles and Responsibilities:

  • Provide expert guidance on Business Intelligence BI skills and technologies
  • Develop scalable and maintainable BI applications to meet business objectives
  • Develop security and authentication standards for the organization
  • Maintain accurate and complete technical architectural documents
  • Define BI standards guidelines and best practices for business groups and technical teams
  • Support BI tools upgrades in development testing and documentation
  • Perform maintenance and troubleshooting activities for BI tools
  • Diagnose and resolve BI tool capacity issues Recommend strategies to improve performance and capacity of BI tools Address customer queries and issues in a timely manner
  • Provide BI administration and technical support during weekends after hours and holidays when needed Provide technical training on BI tools to junior staffs
  • Collaborate with BI Administrators Developers and Analysts for successful development of BI reporting and analysis solutions


Business Intelligence Architect Skills, Knowledge and Qualifications:

  • Required Skills Bachelor s degree with a concentration in MIS Computer Science Engineering
  • 10 years of experience working in Qlikview Cognos with a strong ability to analyze data and perform root cause analysis
  • Strong knowledge of analytics and reporting tools such as Qlikview Cognos and other data visualization tools Experience with report migration from one tool to another
  • Ability to extract information from multiple databases using complex query statements and advanced database tools
  • Minimum five years delivering complex data management engagements including all phases of the project life cycle from scoping and planning requirements gathering design development testing and go live phases
  • Work in an onsite offshore model involving daily interactions with offshore teams to ensure on time quality deliverables Experience with organizing analyzing and disseminating medium to large amount of information with great attention to detail and accuracy
  • Strong understanding of Data Warehouse principles and basic understanding of data modeling concepts and methodologies

3. The Business Intelligence Associate (Customer & Competitive) drives customer and competitive intelligence analysis across market segmentation and strategy, delivering actionable insights, data-driven recommendations, and scalable intelligence frameworks that inform growth priorities and strengthen competitive positioning.

Business Intelligence Associate Functions:

  • Utilize data sets available to analyze and assess new market segments
  • Manage work plan to drive new segmentation approaches (market maps) which drive strategic action for the enterprise in all functional areas
  • Serve as CI lead on core in-market pilots (in collaboration with research and strategy teams) to help either prove Sysco's ability to win in opportunity segments and/or inform what is required to be successful in these segments
  • Analyze financial reports, economic data, census inputs and other 3rd party data sets to identify new market insights Customer Intelligence
  • Analyze trends, 3rd party data and primary research to help identify and understand which customers Sysco should win with over next 3-5 years within target market segments
  • Provide insights on how to win with top and emerging customers
  • Support development of how customer intelligence can integrate into various functional dashboards
  • Support the creation of Sysco's CI vision and roadmap
  • Be core project team member to develop and implement an integrated competitive intelligence tool, training and process
  • Identify and evaluate potential industry disruptors and provide recommendation for how Sysco can compete with emerging competitors
  • Create and monitor a continuous feedback\listening tool to scale\share MA knowledge (working with research director) Support creation of outside in profit analysis of the competition regardless of ownership
  • Develop deep and ongoing understanding of each competitor's value proposition to inform future Sysco offers


Business Intelligence Associate Abilities, Experience and Requirements:

  • BS/MS degree in Business, Economics, Finance, Accounting, Market research or related field
  • 1-2+ years in business strategy, intelligence, marketing, corporate analytics, market research or similar job function
  • Strong analytic and problem solving skills
  • Experience accessing and manipulating data in SQL or NoSQL database environments
  • Experience with regression analysis (beyond linear regression) or time-series analysis required
  • Experience in data visualization
  • Strong experience in identifying, understanding and leveraging 3rd party data sets to drive business insights
  • Ability to understand and analyze competitive and customer P&Ls
  • Ability to develop work plans and support cross functional teams to achieve a common goal
  • Demonstrated ability to approach problem solving in an "unconventional" way
  • Strong communication and collaboration skills
  • Self starter with strong ability to manage and develop team members
  • Professional attitude, service orientation, strong work ethic; superb team player
  • Excels in nebulous environments where the path to address a problem is not always clear or direct
  • Approaches every problem with an outside in perspective first and does not allow the status quo to influence analysis


These responsibilities highlight how a Business Job Description helps candidates understand expectations and align their problem-solving and collaboration abilities effectively.

4. The Business Intelligence Consultant drives alignment between business strategy and technical BI delivery across reporting, dashboards, and data platforms, delivering scalable solutions, actionable insights, and user enablement that enhance decision-making and operational effectiveness.

Business Intelligence Consultant Details:

  • Acts as the bridge between Business and Software Development
  • Translate strategy and policy into technical business intelligence (BI) solutions.
  • Being a content sparring partner of management and controllers
  • Give advice on the content and layout of management reports and dashboards, and analysis environments.
  • Design, develop and implement BI solutions such as management reports and dashboards, OLAP solutions and / or data warehouses.
  • Sets up and configures end-user training and provides go-live support for all BI dashboards
  • Coordinates and facilitates local US systems and infrastructure needs and requirements
  • Operates and supports current application infrastructure and systems portfolio
  • Operates in compliance with all local, state and Federal laws as well as Company policy and compliance standards
  • Other duties and responsibilities as assigned


Business Intelligence Consultant Experience and Qualifications:

  • BA/BS in Information Technology, Business, Finance or closely related field
  • MBA, preferably with a concentration in Information Technology, preferred
  • Advanced Power BI experience required
  • Microsoft Dynamics NAV and/or Navision certification, preferred but not required
  • Healthcare industry and/or multiunit retail industry knowledge, preferred
  • International Retail experience preferred but not required
  • Power BI design and development background
  • Strong knowledge within Microsoft Dynamics NAV 2009 and/or 2013 in financial, sales, purchase, marketing and the related development preferred
  • Self-directed, independent professional with the ability to manage multiple priorities
  • Ability to interact collaboratively within a team environment across all levels of management
  • Solid organizational and time management skills
  • Exceptional oral and written communication skills
  • Strong analytical skills with the ability to influence decision making
  • Creative problem solving and conflict resolution skills
  • Minimum of 8 years of experience with ETL and report design within Power BI
  • Report Design, Dashboarding and data warehouse architecture
  • Strong experience with ERP implementation/development/support
  • Experience with Retail Back Office and Practice Management systems
  • Experience modeling business processes
  • Experience with EDI implementations
  • Project Management experience

5. The Business Intelligence Data Analyst drives data governance and analytics practices across web, ERP, and enterprise data environments, delivering standardized processes, reliable insights, and scalable data solutions that improve decision-making and data integrity.

Business Intelligence Data Analyst Functions:

  • Review and validate collected data
  • Provide analysis of current BI state
  • Develop policies and procedures for the collection and analysis of data
  • Create or discover new data procurement and processing programs
  • Cooperate with our technology team to deploy software and hardware upgrades that make it possible for us to leverage big data use cases
  • Monitor analytics and metrics results
  • Implement new data analysis methodologies
  • Ensure integrity of data collection and utilization
  • Perform data profiling to identify and understand anomalies


Business Intelligence Data Analyst Experience and Qualifications: 

  • 5+ years' experience in a business intelligence role
  • Ability to understand and find appropriate applications for data and analysis results
  • Experience with Power BI, Tableau and similar platforms
  • Experience or familiarity with MS SQL, PostgreSQL, MySQL
  • Can work on multiple projects simultaneously and meet key deadlines
  • Able to work independently, butcomfortable working with other team members in creatively solving problems and implementing solutions
  • Speak and write well and comfortable working directly with clients and business partners


To succeed in this role, strong Business Intelligence Skills and Experience enable effective data analysis, collaboration, and delivery of actionable insights across projects.

6. The BI Developer drives end-to-end design and delivery of data analytics and BI applications across enterprise platforms, delivering scalable, secure, and high-performance solutions that enhance customer experience and support data-driven innovation.

BI Developer Roles and Responsibilities:

  • Responsible for designing, developing, testing, operating and maintaining products.
  • Takes full stack ownership by consistently writing production-ready and testable code.
  • Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs.
  • Makes sound design/coding decisions keeping customer experience in the forefront.
  • Takes feedback from code review and apply changes to meet standards. Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures.
  • Accountable for ensuring all aspects of product development follow compliance and security best practices.
  • Exhibits relentless focus in software reliability engineering standards embedded into development standards.
  • Embraces emerging technology opportunities and contributes to the best practices in support of the bank's technology transformation.
  • Contributes to a culture of innovation, collaboration and continuous improvement.
  • Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery. Anticipates and communicates blockers and delays before they require escalation.


BI Developer Experience and Requirements:

  • Bachelor's degree, or equivalent work experience
  • Three to Five years of relevant experience
  • 5+ years of experience with BI/Big data: Solution architecture, design, develop and execution of data analytics solutions
  • 5+ years of expertise in large scale customer facing enterprise Data Analytics applications
  • Cloud data analytics technologies/components preferably MS Azure platform
  • Experience with Spark, Python, Scala, SOAP, Graphql
  • Security/Spring Security (eg - Fortify, Blackduck, Twistlock) Adept with agile software development lifecycle and DevOps principles
  • Experience with Junit, Docker, Kubernetes, DevOps, CI/CD Deployments, AppDynamics, Splunk, Sonar
  • Experience with Rest API’s, Spring Security, Multithreading
  • 5+ years of progressive responsibilities in one or more of the following areas: Tableau, solution architecture, application design, data analytics

7. The Business Intelligence Engineer drives end-to-end BI solutions across data pipelines, reporting, and analytics, delivering scalable systems, actionable insights, and automated processes that improve operational efficiency and inform business strategy.

Business Intelligence Engineer Roles:

  • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
  • Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
  • Identify and recommend opportunities to automate systems and tools
  • Be hands-on with ETL to build data pipeline to support automated reporting.
  • Interface with Data Engineers and business busers to deliver complete BI solutions.
  • Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
  • Review and audit existing ETL jobs and SQL queries. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • Develop and implement analytics to continually improve continuity of supply and operational efficiencies


Business Intelligence Engineer Skills, Abilities and Experience:

  • BA/BS in Mathematics, Statistics, Computer Science, Finance or a similar quantitative field, or additional 4+ years of experience in lieu of a degree.
  • 3+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments.
  • 2+ years experience using, writing and optimizing SQL queries in a business environment
  • 2+ years experience using business intelligence reporting and visualization tools (such as Tableau, PowerBI, MicroStrategy, Looker and QuickSight, Advanced Excel such as v-lookups, pivot tables, etc.)
  • Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.
  • Be self-driven, details-oriented, and show ability to deliver on ambiguous projects with incomplete or dirty data.
  • 5+ years of experience in a data engineer or BIE role with a technology company.
  • Graduate degree in Computer Science, Engineering, Mathematics, related technical field
  • Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical team, and senior management as required.
  • Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions.
  • Experience working with disparate data sources and turning them into a unified solution.
  • Experience in Operations, Procurement, Computer Hardware, or Global Supply Chain.
  • Familiarity with Amazon's AWS services including Glue, EC2, S3 and Redshift.

8. The Junior Business Intelligence Engineer supports data modeling, ETL development, and analytics solutions across enterprise data environments, delivering reliable data pipelines, structured insights, and scalable BI components that enable informed decision-making and data platform growth.

Junior Business Intelligence Engineer Details:

  • Working with OLTP/data warehouse modeling, and play key role in multiple projects and act as knowledge expert (Technical, Functional).
  • Collaborate with Solution & Enterprise Architects, Business analysts, DBAs and others to understand business requirements
  • Support complex discussions and engagements that may involve multiple project teams from client.
  • Able to work independently with BA and PM to gather requirements, perform data discovery, come up with data model, and work with developers to design and implement ETL solutions.
  • Work with ETL methodologies for supporting data extraction, transformations and loading processing, in a corporate-wide-ETL Solution.
  • Working on data pipeline solution on large database environment (e.g. Greenplum/PostgreSQL).
  • Data analysis, problem solving.
  • Work with ETL tools and SQL database.
  • Working with a team in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics.
  • Working with a team designing relational data models, analytical data models and non-relational data models for OLTP and advanced analytic applications.


Junior Business Intelligence Engineer Experience, Knowledge and Qualifications:

  • Some Experience in PostGreSQL / Greenplum database and working on data pipeline for non-relational data structure, NoSQL data model such as JSON on MongoDB, HBASE, Hive is a plus.
  • Knowledge regarding BI Development, ETL Tools, SQL
  • Some Data Analysis, troubleshooting, and problem solving
  • Some experience working in large-scale cloud database environments is a plus.
  • Some experience working on data pipeline for non-relational data structure, NoSQL data model such as JSON on MongoDB, HBASE, Hive is a plus
  • Good communication skills and ability to convey complex topics through effective documentation as well as presentation.
  • Familiar with machine learning and advanced analytic application development.
  • Some ability to create dashboards in Tableau or Webfocus using various sources like database, CSV files, XL spreadsheets etc.
  • Associates degree and 3+ years of experience in a training-related field or HS/GED degree and 5+ years of experience in a training-related field
  • Must be able to obtain a Public Trust

9. The Business Intelligence Intern supports data analysis and BI solution development across cross-functional initiatives, delivering actionable insights, structured reporting, and data-driven recommendations that improve business processes and decision-making.

Business Intelligence Intern Duties:

  • Work with cross functional teams to identify business opportunities and frame the analytics problem
  • Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources
  • Develop and manage business intelligence solutions such as dashboards and reports for the organization
  • Provide reports through office applications to improve business processes
  • Create and maintain documentation that includes the design, requirements, and user manuals for the organization
  • Quantify business impacts and communicate actionable recommendations with business partners to drive informed decisions
  • Defines company data assets and develops custom models and algorithms to apply to data sets


Business Intelligence Intern Experience and Requirements:

  • Pursuing a Bachelor's degree in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Engineering or equivalent alternative education, skills, and/or practical equivalent experience
  • Experience in data analysis and data modeling
  • Experience in report building and ad-hoc analysis
  • Experience using internal and external data sources (e.g. Salesforce, Claritas, etc.) to create analytical reports
  • Experience with data querying languages (such as SQL, python, Hive, Hadoop, etc.)
  • Experience using data visualization tools (e.g. Tableau, Power BI, etc.)
  • Experienced in utilizing web services and third provider data services
  • Experience developing analytics solutions using "Big Data" tools and techniques (Azure tools a plus)
  • Effectively collaborate with people within a project team
  • Ability to identify and effectively resolve issues
  • Excellent communication and motivation skills, and ability to interact appropriately with all levels of the organization
  • Demonstrated experience translating complex and technical subject matter

10. The Business Intelligence Manager drives finance-focused analytics and reporting capabilities across the organization, delivering scalable insights, optimized data solutions, and cross-functional enablement that improve financial performance and strategic decision-making.

Business Intelligence Manager Functions:

  • Support the Finance community on data led insights as well as build reporting and analytical capabilities for the entire finance organization
  • Assist the Commercial Finance team in the evaluation of emerging initiatives, investments, and major operational changes
  • Analyze operational and financial performance trends, turning complex data into actionable insights
  • Build strong connections across engineering and finance teams and become a trusted and proactive partner in supporting project delivery
  • Create and maintain models, reports, dashboards as required by your stakeholders with well-written documentation in mind
  • Continually optimize reports, processes, and procedures with scalability in mind
  • Collaborate with engineering and product development teams on changes to/integration of new sources of data
  • Empower end users to be self-reliant by facilitating knowledge sharing and enable skill development through effective training programs
  • Be a thought leader around new technologies which may benefit the Commercial Finance team


Business Intelligence Manager Requirements and Qualifications:

  • Bachelor’s degree in IT, Mathematics, Statistics, Analytics or other relevant degrees
  • 3+ years of experience with BI & analytics tools (SQL, Tableau, Metabase or similar technologies)
  • Experience in ETL tools, data modelling and have proficient knowledge of SQL and Relational Databases: the ability to write, execute and interpret queries is essential
  • Quick learner, problem-solving aptitude, effective prioritization, proactive and strong attention to detail
  • High sense of ownership and growth mindset, ability to be self-directed
  • Ability to understand business questions/requests and be able to suggest proper BI solutions which are measurable and scalable
  • Excellent communication skills and ability to influence peers and build strong relationships within Finance and cross-functionally
  • Advanced Excel modelling (OLAP cubes & VBA a bonus)

11. The Business Intelligence Specialist drives enterprise reporting, data governance, and analytics translation across business and technical teams, delivering executive-ready insights, scalable BI solutions, and data literacy enablement that improve decision-making and organizational performance.

Business Intelligence Specialist Roles:

  • Develop regular Power BI visualisations and adhoc queries for executive level stakeholders
  • Translate business needs into analytics/reporting requirements and provide business context to data technicians and system administrators
  • Assist with uplifting departmental reporting by conducting business requirement gathering sessions with business analysts to define business problems and analytical requirements, and translate into technical requirements
  • Maintain the Data Governance Framework for the organisation and develop proof of concept BI models and prototypes to prove solution feasibility
  • Promote best practice by engaging, coaching and mentoring business analysts and individuals in accessing, interpreting and understanding data trends (forecasting and predictions)


Business Intelligence Specialist Knowledge and Experience:

  • A degree in a relevant discipline (i.e., Business or IT-related)
  • Data, analytics & insights, business intelligence work history
  • 5+ years demonstrated experience in developing dashboards and visualisation solutions using tools such as Power BI
  • SQL Server skills including SQL objects development, performance tuning, data analysis and integration
  • Deep knowledge and experience with Power BI / Azure to maximise value from the technology stack
  • Experience with working in an Agile/ Dev-Ops environment will be beneficial to the team as improved practices/ways of working need to be implemented
  • Strong Business engagement, leadership, analytical and problem-solving skills


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