WHAT DOES A BUSINESS INTELLIGENCE ANALYST DO?

The Business Intelligence Analyst is responsible for evaluating and refining data collection and analytics systems to align with organizational needs. Develops comprehensive policies and procedures for effective data management and analysis, translating complex business requirements into precise technical specifications. Engages in rigorous testing, implementation, and documentation of BI systems, while also building predictive models and utilizing advanced data visualization tools to uncover and present key trends and insights.

A Review of Professional Skills and Functions for Business Intelligence Analyst

1. Business Intelligence Analyst Duties

  • Data Analytics: Through use of data analytics, data visualization and data modeling techniques and technologies 
  • Trend Identification: Identify trends that aid managers in making informed decisions.
  • Decision Support for Executives: Help executives make business decisions to modernize and improve organizational processes.
  • Data Management: Build and maintain a sustainable platform of valid data reflecting business requirements.
  • Educational Support: Teach and support the business with best practice solutions in utilizing and analyzing data.
  • Data Policy Development: Review and validate data as it is collected; develop policies and procedures for effective data management.
  • Data Deployment Oversight: Oversee the deployment of data to the data warehouse and monitor analytics and metrics results.
  • Data Procurement and Processing: Create or discover new data procurement and processing programs.
  • Data Profiling: Perform data profiling to identify and understand deviations.
  • Technology Evaluation: Analyze, evaluate, and utilize new technologies, tools, or frameworks around data visualization.

2. Business Intelligence Analyst Details

  • Operational Analytics Requirement Identification: Help identify operation analytic requirements and features.
  • Feature Deployment Prioritization: Help prioritize the deployment of feature sets and partner with the users.
  • Analytic Decision Support: Drive the use of analytic information to help in the decision:making process.
  • ISC Business Intelligence Vision Execution: Execute against the vision of ISC business intelligence/analytics council.
  • Competitive Advantage through Business Intelligence: Create a sustainable competitive advantage for ISC through business intelligence initiatives.
  • Customer:Aligned Product Roadmap Execution: Execute against the product roadmap closely aligned with the requirements of the customers.
  • Analytics Infrastructure and Change Management Planning: Advances analytics implementation work plan to include technology infrastructure requirements, resource planning, and change management/communications plan for key stakeholders.
  • Stakeholder Requirements Elicitation: Elicit requirements from ISC using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis.
  • Process Navigation Expertise: Leverage functional expertise to effectively navigate routine or complex processes.
  • Business Process Advisory: Leverage best practices and technical knowledge to advise business processes.

3. Business Intelligence Analyst Responsibilities

  • Work Process Improvement: Recommend methods to improve work processes, detailing process strengths and weaknesses.
  • Data Integrity Protection: Identify and execute methods to protect the integrity of business data.
  • Business Vision Understanding: Understands the vision and needs of the business.
  • Business Value Definition: Works with stakeholders to define business value.
  • Project Roadmap Translation: Translates business goals into project roadmaps and project deliverables.
  • Testable Requirements Assurance: Ensure requirements are testable, resolves business questions and issues.
  • Technical Documentation: Analysis, design, and all additional technical documentation.
  • Information Structuring: Build a structure around information, knowing how to present data in reports and dashboards as well as all technical and functional details of the project itself.
  • Data Modeling in BI Tools: Design and model all data in Qlik/PowerBI environments.
  • Trade-off Management: Help manage trade-offs, ensures successful rollout to the target audience, help remove impediments.

4. Business Intelligence Analyst Job Summary

  • BI Dashboards and Reports Development: Develop dashboards and reports using BI tools (AWS Quicksight, Microsoft SSRS, or other tools).
  • Business Intelligence Visualization: Develop business intelligence reporting and data visualizations.
  • Data Warehouse Project Assistance: Assist with data warehouse project implementation.
  • Data Collection and Modeling: Assist with Data Collection and Modeling to integrate various data sources into the data warehouse with meaningful structure and format.
  • Reporting and Analytics Efficiency: Enable efficient and effective reporting and analytics.
  • Business and Financial Metrics Optimization: Working with management, continue to develop and optimize the company business and financial metrics.
  • Decision Support for Management: Help managers make better financial, customer service, and marketing decisions.
  • Requirements and Documentation Participation: Participate in the definition of requirements, the compilation of functional documentation, and the design of technical proposals.
  • Project Follow-Up: Follow up and keep track of all the work done.
  • Inhouse Application Maintenance: Maintain and enhance existing Inhouse Application.

5. Business Intelligence Analyst Accountabilities

  • Data Systems Evaluation: Evaluate existing data-collecting and analytics systems.
  • Data Collection Policy Development: Develop policies and procedures for the collection and analysis of data.
  • Business Needs Translation: Translate business needs into technical specifications.
  • Data Integrity Assurance: Ensure the integrity of data collection and utilization.
  • BI Systems Implementation: Test, implement, and document BI systems.
  • Data Collection and Modeling Assistance: Assist with data collection and modeling and determine Business Information needs.
  • Predictive Models and Machine Learning Participation: Participate in building predictive models and machine-learning algorithms.
  • Data Sharing Procedure Establishment: Establish procedures for data sharing with internal and external stakeholders.
  • Data Analysis and Interpretation: Analyze and interpret data to discover trends and patterns.
  • Data Visualization and Reporting: Create reports and use data visualization tools to present information.

6. Business Intelligence Analyst Functions

  • Sales Cycle Support Analysis: Providing detailed analysis and insights to support the Business Development team's sales cycle for existing clients as well as new lead generation.
  • Data-Driven Research: Ensuring regular, structured, and effective data-driven research to identify strategic business opportunities.
  • Competitor and Consumer Analysis: Performing competitor and consumer analysis.
  • Client Data Analysis and Proposal Preparation: Interrogating and analyzing client data and preparing detailed and targeted proposals, including client improvement trajectories, benefits case, costings, and recovery modeling.
  • Analysis Gap Identification and Solution Design: Identifying gaps in analysis - designing, refining, and creating solutions.
  • Reporting and Analytical Suite Development: Developing reporting and analytical suites across all aspects of Medefer’s business development pipeline cycle within its CRM.
  • Analytics and Reporting Training: Creating, maintaining, and delivering analytics and reporting user training and documentation.
  • Business Opportunity Design Consultation: Informing the design of new or revised commercial business development opportunities as Medefer’s services and products pipeline develops.
  • Business Process Improvement Solutions: Suggesting possible solutions to support and improve business processes.
  • Functional and Technical Guidance: Providing functional and technical guidance to business teams.

7. Business Intelligence Analyst Job Description

  • User Requirements Analysis: Analyze user requirements and design Business Intelligence solutions.
  • OLAP Design and Development: Design and develop online analytical data processing (OLAP).
  • Data Warehouse Maintenance: Creation and maintenance of data warehouse.
  • ETL Process Development: Design, develop, and test data integration/ETL processes.
  • Data Mining Solutions Development: Development of data mining solutions and collect business requirements.
  • Reporting Applications Development: Design and development of reporting applications.
  • System Deployment Assistance: Assistance with deployment and configuration of the system.
  • Project Meetings Participation: Participation in meetings with the project teams and writing of technical documentation.
  • Business Trends and Sales Performance Analysis: Assessing and analyzing business trends and sales performance.
  • Sales Target Execution Coordination: Coordinate amongst different functions and teams to execute sales targets and country initiatives.

8. Business Intelligence Analyst Overview

  • Data Analysis and Communication: Compile, analyze, and communicate data related to all business units within TechSoup using data extraction techniques to produce complicated data analysis.
  • Data Governance Collaboration: Collaborate with the data governance committee and Dev-Ops team.
  • Security Practices for Reporting: Establish the best security practices for reporting.
  • Data Openness and Protection: Ensure appropriate openness of information while protecting the organization’s data.
  • Business and Information Prioritization: Work with management to prioritize business and information needs.
  • Project Reporting Needs: Be a member of projects so that reporting needs can be collected and designed.
  • Application Reporting Integration: Work with developers to integrate reporting into applications via APIs, JavaScript, or Java.
  • Data Integrity Assurance: Work with the DBAs and data specialists to ensure the information presented in all reports is of the highest integrity.
  • Automation Scripting: Craft scripts that automate repetitive reports and generate alerts to support staff in the event of failures.
  • Robust Dashboard and Visualization Building: Build reporting that incorporates multiple data sources to generate robust dashboards and visualizations.

9. Business Intelligence Analyst Details and Accountabilities

  • Reporting Tools Training: Train partners and end users with reporting tools, where applicable.
  • Process Improvement Identification: Locate and define new process improvement opportunities.
  • Stakeholder Partnership: Partner with business stakeholders and employees.
  • Business Intelligence Solution Design: Define and design business intelligence solutions focused on optimizing the use of data in the organization.
  • User Adoption and Data Literacy Maximization: Maximize user adoption and data literacy growth in the organization.
  • Data Pipeline Oversight: Oversee all aspects of data collection pipelines and replication of data to a data lake and data warehouse.
  • User-Friendly Data Display: Appropriately display requested data in user-friendly, consumable formats such as reports, graphs, and dashboards in tools such as Heap, Looker, Data Studio.
  • Stakeholder Update Provision: Regularly provide updates to stakeholders on outstanding requests and maintain a tight feedback loop.
  • SQL Data Retrieval and ETL Processing: Leverage SQL to retrieve and analyze data from databases and practice ETL processes to manage large volumes of data.
  • Sales Leadership Support: Act as a consultant and coordinator in helping sales leaders succeed in achieving quarterly targets and long-term goals.
  • Business Strategy Devising and Monitoring: Devise global and local business strategy and monitor its implementation.

10. Business Intelligence Analyst Duties

  • Goal Planning and Time Management: Plan and accomplish goals regularly, performing and managing time against a variety of complicated tasks with varying priorities under general supervision.
  • Source File Review and Analysis: Review and analyze source files throughout the solution, profiling fields and comparing them to source system data.
  • Risk Assessment and Feedback: Provide risk assessment and other feedback throughout the solution as progress of data analysis occurs.
  • Data Change Tracking: Track data changes throughout the solution, reviewing requirements.
  • System Workflow Analysis: Analyzing system workflows and ensuring the final data passes inspection and the data flow is creating the data accurately.
  • Profiling and Auditing: Perform automated and manual profiling, auditing, report creation, and analyzing.
  • Data Integrity Maintenance: Assist in maintaining the data integrity of the database by creating and/or updating daily, weekly, and monthly reports.
  • Report Analysis for Business Impact: Analyze the reports looking for data discrepancies or trends that could positively or negatively impact business.
  • Findings Communication: Summarize and communicate findings to management.
  • Enterprise Report Production: Produce and distribute enterprise reports monthly to management.

11. Business Intelligence Analyst Details

  • Gap Recognition and Opportunity Identification: Play a crucial role in recognizing gaps and business opportunities in the data.
  • Creative Recommendations and Advocacy: Come up with creative recommendations, and champion these insights to the executive team and throughout the business.
  • Data Analysis and Business Intelligence Ownership: Own data analysis and business intelligence for Likewise.
  • Executive Advisory: Advise the executive team on business decisions based on data insights.
  • Dashboard Creation: Use app and web data to create dashboards.
  • Customer Engagement Insights: Provide insights on customer engagement and behavior to the marketing, product, and executive teams, so they can consume the data in an easy, user-friendly format.
  • Proactive Insight Development: Proactively develop insights and recommend solutions and new approaches in marketing, product, and the overall business.
  • Raw Data Interpretation: Make sense of raw data pulled from Mixpanel and other analytics platforms and present this in an actionable and coherent way.
  • Market Data Research: Research and provide market data to the team, recognizing business opportunities.
  • Independent Task Performance: Perform simple and moderately complex tasks independently.

12. Business Intelligence Analyst Responsibilities

  • Liaison and Coordination: Serve as the liaison and coordinate with I.T. resources, business owners, external partners, and management as it relates to data anomalies.
  • Multiple Data Validations Management: Simultaneously manage multiple data validations, understanding project priorities.
  • Data Integrity Demand Management: Manage the demands from various business entities as it relates to the data integrity of the corporate database.
  • Ad-Hoc Reporting: Complete ad-hoc reporting requests within a reasonable turn-around time.
  • Task Management Procedure: Follow the prescribed procedure for task management of data integrity issues and data requests.
  • Standard Operating Procedure Documentation: Standard operating procedure documented for future reference.
  • Quality Work Delivery: Consistently deliver quality work during allotted task completion timeframes.
  • Data Source Identification and Tool Building: Identify required data sources and build data transformation tools.
  • Data Architecture Enhancement: Understand and enhance the data architecture.
  • Data Model Design: Design data models within the context of a data mart.

13. Business Intelligence Analyst Job Summary

  • User Engagement and Documentation: Engage with existing and prospective users to understand and document information needs based on an understanding of both business processes and the business decisions that users need to make.
  • BI Project Analyst Support: Provide analyst support to new and ongoing BI projects to enable them to meet deadlines.
  • Data Source Documentation: Work with IT colleagues to understand and document available data sources and their interrelations.
  • Solution Design Collaboration: Collaborate with other team members to design solutions.
  • Reconciliation and Control Process Development: Collaborate with other team members to develop strong reconciliation and control processes.
  • Quality Assurance Collaboration: Work with quality assurance to ensure that business requirements are met.
  • Data Analysis for Validation: Perform data analysis to validate requirements and the proposed functional solution.
  • Functional Design Documentation: Draft functional design documents with support from the Solution Architect.
  • Solution Design Collaboration: Collaborate with colleagues in designing solutions that meet the established business needs.
  • Functional Oversight in Implementation: Work closely with the technical implementation and test team and provide functional oversight.

14. Sr Business Intelligence Analyst Accountabilities

  • EDI Platform Administration: Develop tools and infrastructure to deploy, administer, and monitor a large-scale EDI servicing platform.
  • Test and Release Automation Development: Develop tools and infrastructure related to test automation, release automation, build, and debugging environment.
  • Process Improvement Identification: Identify opportunities for continuous process improvement, automation, and efficiencies.
  • Server Management: Control and manage Test, DR, and Production EDI servers.
  • Software Productivity Tool Maintenance: Introduce, maintain, and upgrade software productivity tools to scale business operations.
  • Team Contribution: Contribute as a member of a high-performing team.
  • Support and Analysis for Product Management: Support the product management and engineering teams through regular and ad-hoc analysis of technical and non-technical metrics, automating as much as possible.
  • BI Reporting and Dashboard Design: Understand the reporting requirements and design BI reports and dashboards.
  • Stakeholder Relationship Building: Build relationships with business users and stakeholders.
  • Department Process Understanding: Understand department processes and goals.

15. Business Intelligence Analyst Functions

  • Dashboard Management: Own and manage monthly and quarterly dashboards for tracking and reporting metrics for the Sales team.
  • Sales Target Management: Manage the sales target assignment and work out battle plans to boost sales and delivery.
  • Sales Profitability and Productivity Tracking: Track and report sales profitability and productivity (operating cost, revenue, and sales progress/milestones).
  • Functional Team Collaboration: Work closely with relevant functional teams to control any variance, challenge, and escalate issues early and with conviction.
  • Data Trend Analysis: Analyze data trends, highlight issues, and work with relevant parties to resolve issues.
  • Data Modeling and Strategy Development: Develop intuitive and reliable data modeling and processes to define business growth strategy and planning.
  • Advisory Role: Act as an adviser, ultimately helping business stakeholders.
  • Productivity Enhancement: Identify and overcome challenges, thereby helping to enhance the productivity of Tesla’s business organization.
  • Effective Communication: Communicate effectively with the field sales and delivery team.
  • Process Execution and Issue Escalation: Execute processes and provide updates and escalation of key issues to executives.
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