WHAT DOES A BUSINESS INTELLIGENCE MANAGER DO?
The Business Intelligence Manager identifies, develops, manages, and executes business needs through consultations with leaders. They develop new learning solution reports and establish metrics to measure and enhance Operations leaders' proficiency. They ensure consistent global metrics definitions and provide ongoing program updates to stakeholders. Additionally, they collaborate with the Organizational Research Team and program managers to create metrics and KPIs that drive business strategy.
A Review of Professional Skills and Functions for Business Intelligence Manager
1. Business Intelligence Manager Tasks
- Best Practice Development: Work closely with the Director of Enterprise Intelligence to define best practices and standards for data, reporting, and analysis.
- Analytical Gatekeeping: Serve as the gatekeeper for analytical work products produced by the Business Intelligence team.
- Tool and Process Building: Actively build processes, tools and best practices to make data more accessible.
- Leadership: Lead organizational improvements and collaborate with cross-functional teams in performance evaluation, KPI reporting, forecasting, and opportunity identification.
- Strategic Consultation: Act as a consultant to key stakeholders by designing and interpreting analyses of data and developing data-based recommendations for strategic management decisions.
- Data Warehouse Support: Support Data Warehouse development to improve the quality and coverage of data sources.
- Modeling and Forecasting: Produce forecasting and analytical models to support higher utilization and efficiencies.
- Data Security Enforcement: Understand and enforce security and compliance protocols when working with sensitive and proprietary data sets.
- Reporting Coordination: Coordinate the production of monthly, quarterly, and annual reporting including Board of Trustee metrics.
- Tableau Oversight: Provide oversight and responsibility for the Tableau reporting suite and other analytical publications.
2. Business Intelligence Manager Roles
- Business Consultation: Identify, develop, manage, and execute business needs through consultation with business leaders.
- Learning Solutions Development: Develop and experiment with new learning solution reporting that allows us to measure and accelerate the proficiency of Operations leaders.
- Performance Metrics Establishment: Establish a comprehensive set of metrics to measure the performance of operation leaders and the impact of programs.
- Stakeholder Reporting: Provide ongoing program updates and reporting to stakeholders.
- Global Consistency Oversight: Work with governing bodies to ensure metrics definitions are consistent globally.
- Partnership Maintenance: Maintain close partnerships with the Organizational Research and Measurement Team on all leader retention initiatives.
- Metrics Development: Partner with program managers, to develop relevant and defensible metrics with KPIs that drive and track business strategy.
- Data Governance: Drive proper data governance (data integrity, metric definitions, and single versions of truths).
- Professional Leadership Interaction: Work independently with leaders at a professional level and be articulate, prepared, and knowledgeable in those encounters.
- Analytic Protocol Adherence: Follow appropriate analytic protocols for work team and enterprise to ensure analytic products are accurate and meaningful.
3. Business Intelligence Manager Additional Details
- Business Insight Anticipation: Anticipate reporting and business insight needs, manage expectations of business customers, and shape a shared vision around reporting priorities.
- Reporting: Define reporting objectives and business requirements with stakeholders and establish the necessary process changes to achieve these.
- Global Delivery Management: Overall responsibility for the delivery of requests, and scale capacity and expertise as PS Direct expands globally.
- Stakeholder Relationship: Build strong relationships with business stakeholders across multiple levels and create a collaborative way of working.
- Thought Leadership in Reporting: Act as a thought leader to identify and define new frameworks as the business scales.
- Relationship Management: Develop and maintain positive relationships with a core group of partners across the organization, especially Planning and Data Engineering.
- Scope Setting: Set and refine strategy and scope for the team in collaboration with the leadership.
- Business KPIs Management: Support the direction of the business, manage and report business KPIs and metrics.
- Strategic Reporting Planning: Determine future reporting requirements and strategic needs aligned with the organization's strategy.
- Global Team Leadership: Lead a team spread across the globe to achieve strategic and operational goals and mentor junior colleagues.
- Team Development: Responsible for hiring, staffing, training, performance management, and career progression of diverse and effective contact team members.
4. Business Intelligence Manager Essential Functions
- HR Analytics Creation: Create HR analytics reports and dashboards for use in business decisions and strategic planning.
- Data Consolidation: Use report writing software and visualization tools, such as Power BI and Excel, to consolidate complex data into meaningful reports and dashboards.
- Data Quality Assurance: Review, update, and investigate pertinent data from service providers to ensure a high level of quality, accuracy, and timeliness.
- HR Data Analysis: Analyze and research HR data to review the effectiveness of new initiatives and identify trends.
- Documentation Maintenance: Maintain documentation and update reports as data system enhancements are put into place and/or business rules evolve.
- User Support: Work with user groups to provide training, resolve questions, assess user needs, and recommend changes to data, reports, and dashboards.
- Stakeholder Collaboration: Work with key stakeholders to identify reporting needs, define requirements, and design reports and dashboards.
- Ethical Decision-Making: Exercise responsible and ethical decision-making regarding company funds, resources, and conduct.
- Code of Conduct Adherence: Adhere to WSP’s Code of Conduct and related policies and procedures.
- Operational Support: Handle incoming advisor and client communications to provide operational expertise, share industry and organizational best practices, troubleshoot complex situations, and resolve service issues.
5. Business Intelligence Manager Role Purpose
- Needs Identification: Identifying necessary software and hardware needs, and troubleshooting any data-related problems.
- Security Protocols Development: Developing and implementing the latest security procedures and protocols for data management.
- Data Retrieval Protocols: Creating protocols for the retrieval and analysis of ongoing data storage.
- Data Systems Management: Overseeing and managing a team in the day-to-day use of data systems.
- Internal Support Liaison: Acting as a liaison between internal support teams, including Sales, Finance, Market Rep, Scheduling, IT, etc.
- AI Models and Platforms: Educating areas on processes, services and procedures of the FoM AI models and platforms.
- Communication: Communicating and listening to create lasting business relationships.
- Professional Training: Participating in a training program developed to equip you with the knowledge and confidence needed to succeed.
- Financial Services: Gaining financial services and model knowledge, and being provided with company-sponsored training.
- Relationships Development: Developing and nurturing business-to-business relationships.
6. Business Intelligence Manager General Responsibilities
- Solution Advising: Advise business partners and technical resources regarding solution options while adhering to architectural standards.
- Technical Direction: Determine technical direction for IT Business Intelligence projects using the expertise and available resources.
- Priority Management: Work with the business units to prioritize the development work based on relative priorities and ensure these are delivered according to committed dates.
- Design Standardization: Define and set the standards for dashboards and reporting design standards focused on effective interactions.
- Service Improvement: Identify opportunities to improve on services related to BI and Information Delivery.
- Metric Standardization: Define and set the standards for metric standardization across the organization.
- Development Leadership: Lead development efforts by performing detailed analysis, developing detailed designs, and data models, and executing and testing applications.
- Technical Documentation: Generate and maintain technical documentation for data analytics systems.
- Project Communication: Communicate project status updates to all levels of the organization and directly interface with the senior leadership team.
7. Business Intelligence Manager Key Accountabilities
- Strategic Insight: Combine strategic, creative, and technical skills to deepen the organization’s understanding of business trends and customer behavior and drive growth in core KPIs.
- BI Team Leadership: Own the BI team vision and roadmap, prioritize requests, balance tactical and strategic needs, and manage deadlines.
- Dual Role Leadership: Act as both a player and coach, operating as an individual contributor while also guiding and developing a talented team of data analysts.
- Advanced Analytical Leadership: Lead analytical deep-dives by developing sophisticated models to produce robust and actionable product, user, and business insights.
- Ad-hoc Analysis Provision: Provide ad-hoc analyses and day-to-day support that inform business operations and senior management decisions.
- Issue Resolution Management: Investigate, triage, and resolve metrics-based issues.
- Dashboard Development: Build and maintain compelling internal dashboards using best-in-class visualization practices.
- Inspirational Presentations: Clearly and concisely present recommendations that motivate and inspire the team to build with conviction.
- Automation of Insights: Look for opportunities to automate insights through alerting and anomaly detection.
- Leadership: Lead the definition and governance of metrics, and provide the necessary tools, processes, and training to democratize data and encourage self-service analytics capabilities.
- Engineering Collaboration: Partner closely with Engineering to drive the collection of new data and the refinement of existing data sources.
8. Business Intelligence Manager Roles and Details
- Market Analysis: Analyze market and brand trends and performance for all businesses.
- Reporting: Capture and communicate these trends/performance dynamics via management and publication of ongoing and timely reporting.
- Data Management: Maintain organizational knowledge of all insights and performance data generated relative to brands.
- Research Planning: Create, maintain, and ensure timely execution of the marketing research plans, driving alignment with brand strategy and adapting to evolving business needs.
- Market Research: Drive primary/secondary market research efforts to support Commercial Operations teams to achieve higher marketing and sales impact.
- Strategic Participation: Actively participate in the brand planning process based on a deep understanding of the market, all stages of the patient journey, and stakeholder influences.
- Insight Development: Clarify moments of meaning and highlight opportunities to enhance the patient experience.
- Prioritization: Develop plans to prioritize and address insight gaps across stakeholders.
- Metrics Tracking: Collaborate with leadership, finance, marketing, and sales teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making.
- Integration and Deployment: Collaborate with Global and regional business excellence teams to integrate and deploy market intelligence initiatives, processes, systems and tools.
9. Business Intelligence Manager Responsibilities and Key Tasks
- Data Collection Coordination: Coordinate and define procedures and best practices for data collection and curation
- Data Management: Manage data warehouse, databases, and other data sources, and troubleshoot data-related problems
- Reporting Creation: Create reports and dashboards to the desired specifications
- Platform Utilization: Utilize many reporting and dashboarding platforms for data presentation
- Outsourcing Oversight: Oversee and manage any outsourced or delegated work (to internal or external teams)
- Business Translation: Translate business needs and objectives into data-related backlog and priorities
- Operational Orchestration: Orchestrate any data-related work for global, operational teams
- Dashboard Design: Design visualizations and dashboards to deliver insightful and actionable tools for managers on various levels (Team Leads, Department Managers and functional Directors)
- KPI Leadership: Lead and/or support KPI, SLA development and deployment
- Business Advisory: Act as a business advisor while supporting and enforcing a data-driven culture
- Initiative Ownership: Own decisions and the backlog of automation and improvement initiatives to data-related work
- Corporate Alignment: Align with corporate data-related procedures, practices, standards, and requirements while delivering exceptional value to the shared services team.
10. Business Intelligence Manager Duties and Roles
- Data Strategy Development: Develop and implement the FTIS business performance data strategy.
- Analytics Tools Management: Define the requirements and manage the development of the appropriate tools and framework to support data analytics and reporting requirements.
- Relationship Building: Build strong relationships with internal and external data and system owners.
- Data Onboarding: Identify and on-board relevant data sets ensuring quality, integrity, timeliness, and completeness requirements are met.
- Reporting System Management: Manage the maintenance and changes to reporting systems, dashboards, and performance metrics.
- Stakeholder Partnership: Partner with stakeholders to get the maximum value out of analytics and insights.
- Scorecard Production: Produce regular business performance scorecards and management dashboards.
- Performance Metrics Management: Define the reporting requirements and manage the production of regular performance metrics and dashboard reports.
- Insights Presentation: Provide commentary and insights and present results to FTIS management.
- Query Resolution: Address ad-hoc queries from the FTIS team.
- Business Analysis: Understand business needs and determine data and analytical requirements.
- Results Presentation: Present the results of the analysis to the business team in a structured and concise manner.