• Hire, manage, coach and lead a high-performing global team of Business Intelligence Engineers and Business/data Analysts
• Engage with leadership and diversified stakeholder groups to understand their data needs and recommend Business intelligence solutions
• Partner with the Data Engineering teams to define the data elements and data structure that the team should leverage to enable analytical capabilities
• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Standardize data and report consumption across all customer groups
• Recognize and adopt best practices in reporting and analysis such as data integrity, test design, analysis, validation, and documentation
• Proactively develop new metrics and studies to quantify customer behavior and reduce defects
• Work with data engineering, Machine learning and software development teams to enable the appropriate capture and storage of key data points
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication

Skills: Business Analysis, Data Management, Insight Delivery, Ad-hoc Analysis, Data Consistency, Solution Development, BI Tool Proficiency, Leadership and Technical Skills

• Build and manage a talented Business Intelligence Engineering team to achieve its goals and development potential
• Partnering with program managers, stakeholders and engineers to gather requirements and build BI solutions to deliver on business goals.
• Leverage strong business acumen and analytical/deep dive skills to provide data-driven solution with insights.
• Drive the BI Solution roadmap for area of responsibility
• Prioritize business insight requests to balance the tactical and strategic information needs of the business
• Lead the definition and governance of key business metrics, drive the vision and building of self-service analytic capabilities, and engineer data-driven processes that drive business value
• Design and build data visualization tools to provide scalable solution for self-service metrics reporting.
• Take the initiative to understand the needs and goals of the organization and proactively produce reports and analysis that create value.
• Adapt to changing needs regarding software and hardware and assist the team in determining the most efficient and effective way of streamlining the entire data analysis process. 
• Assist stakeholders to better understand their data needs and the benefit of various analyses, and drive user adoption of existing Tableau reports and dashboards.
• Take the initiative to learn to use new data-analysis methods/software applications

Skills: Team Leadership and Management, Stakeholder Engagement, Analytical Skills, Roadmap Development, Metric Definition, Data Visualization and Reporting, Proactive Reporting and Analysis, Adaptability and Learning Agility

• Facilitate the consistent delivery of Driver Examination services that are both compliant with defined processes
• Incorporate continuous improvement while working in a cross-functional environment.
• Accountable to provide organizational leadership through developing, implementing and managing all aspects of operational financial reporting and related change activities.
• Help our customers deliver vital services more efficiently, while increasing the satisfaction of the end customers.
• Acquire, aggregate and/or curate data and information. 
• Lead application of analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools.
• Lead work pulling insights from data, to continuously improve forecast methods and accuracy to facilitate better decision-making.
• Analyse data to identify trends – recommend and implement corrective actions where needed.
• Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights.
• Interact with site supervisors to identify opportunities for improvement and develop/implement business solutions.
• Collaborate with performance compliance manager on providing data related to employee performance metrics.
• Deliver accurate and timely reporting on ongoing operational performance.
• Manage the forecasting and optimal staff scheduling needs for the relevant sites to meet budgetary requirements while maintaining service level requirements.

Skills: Process Compliance, Continuous Improvement, Financial Reporting and Management, Customer Satisfaction Enhancement, Data Acquisition and Analysis, Analytical Skills, Cross-Functional Collaboration, Performance Metrics Management

• Work closely with the Heads of Departments, National Board and National Council members to define key performance indicators (KPIs) and data sources.
• Provide data and intelligence to support to all functions to aid their decision making and planning activities.
• Manage the BI project deliverables from inception to closure in line with the processes and procedures in place.
• Track, monitor, manage and communicate project milestones, deliverables and risks.
• Identify and resolve issues and conflicts that may impact the BI project.
• Identify and manage project dependencies and critical path.
• Define project success criteria and disseminate them to involved parties throughout BI project lifecycle
• Effectively communicate and manage expectations of stakeholders across the organisation in a clear and concise manner.
• Establish project timelines and milestones/deliverables using the appropriate tools
• Ensure that full resource planning is carried out.
• Implement a robust learning and development framework for business users post-go-live which includes a means for business users to provide feedback for current and future BI initiatives

Skills: Project Management, Stakeholder Communication, Data Analysis and Intelligence, Risk Management, Dependency Management, Performance Measurement, Resource Planning, Training and Development

• Support the maintenance and development of the centralized reporting environment
• Develop reporting solutions that ‘raise the bar’ in terms of analytical insight and user experience
• Build and maintain data models within Azure Analysis Services
• Support smooth and steady migration of routine Thermo Fisher FP&A reporting to central solution
• Promote Power BI as the de facto standard for visualization across the group and support user adoption
• Support the user community through timely resolution of incidents and queries
• Support the development pipeline in JIRA and ensure regular and steady delivery of new content
• Work with stakeholders to capture requirements for new developments and enhancements
• Ensure the quality and correctness of the data through validation and reconciliation
• Ensure report scheduling and distribution is well maintained in line with expectations
• Perform routine health checks and maintenance are carried out on static and functional data tables
• Provide first-line support to the super-user community and escalate issues

Skills: Data Modeling, Reporting Solutions Development, Power BI Visualization, Technical Support, Project Management, Requirement Gathering, Data Quality Assurance, System Maintenance

• Create analytical tools that drive improved commercial business decisions and allow the team to scale
• Design & build performance analytics dashboards & root-cause modeling to support B2B growth initiatives across the commercial team 
• Create performance visibility to enable strategic decisions
• Enhance insights – simplify existing reports for impact, enhance usability & functionality, automate data collection & updates, etc.
• Partner with cross-functional teams to deliver data-driven workstreams of strategic initiatives 
• Collaborate with enterprise Analytics data science team to deliver solutions
• Work in collaboration with finance and accounting to provide accurate forecasting and cost reconciliation as necessary
• Analyze business performance and supports test and learn efforts for functional areas
• Lead the development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc... to drive key business decisions
• Devise and promote creative data visualization to derive actionable intelligence
• Maintain the library of existing reports within the reporting portal
• Ensure documentation and metadata is maintained to a high standard

Skills: Data Analysis, Dashboard Design and Development, Root-Cause Modeling, Data Visualization, Cross-Functional Collaboration, Forecasting and Financial Analysis, Automation and Process Improvement, Documentation and Metadata Management

• Lead analysts to be active developers and contributors to shared data and analytics infrastructure
• Participate in standardization and tailoring of operational metrics across countries
• Shared contribution to, maintenance, and documentation of data lineage
• Shared contribution to centralized analytics repositories built on Snowflake, Looker, Jenkins, and Airflow (near future)
• Gather information about potential problems, triage, and escalate if needed to other analytical or engineering teams
• Guide analytical resources to enable local experimentation and insight discovery
• Gather and organize ideas for local experimentation in service of larger strategic goals
• Utilize in-country resources to better execution of experiments by creating closer alignment and practical implementation assistance to the analysts from the BI team
• Align local collections experiments with global collections experimentation road map
• Inform leadership and experiment project managers of implementation challenges
• Understand and track key results to judge experiment success/failure
• Foster communication and understanding of data among countries
• Regularly present and train others (e.g. operational managers and advocates) on the use of data and analytics
• Inform road map, participate in the technical design of future data infrastructure plans

Skills: Leadership and Team Development, Operational Metrics Standardization, Data Lineage Management, Analytics Infrastructure Management, Problem Identification and Escalation, Guidance and Support, Strategic Experimentation, Stakeholder Communication and Training

• Provide leadership across the business in sales reporting, data visualisation and user insight.
• Deliver to monthly business reporting schedule including local, regional & HQ required templates. 
• Ensure accurate sales and customer master data by facilitating monthly data maintenance.
• Supporting Channel and Key Account Managers on BI and quarterly business reviews. 
• Develop and improve all commercial reporting in line with changing requirements of business and integration of Master Data universe. 
• Maintain internal field sales systems and work closely with Field Sales leadership to deliver timely and accurate reporting.
• Provide leadership through strategic direction, regular coaching and development of Sales Insights Analyst. 
• Partnering with other departments to define what business problem they are trying to solve, with what sources of data, when is it due, how it will add value, and deliver on the reporting, dashboards, and automation
• Monitor and analyze market trends, customer behaviours, buying patterns and sales performance
• Track the performance of sales and marketing campaigns / experiments and help build predictive models
• Create processes to triage internal requests and boost internal productivity by spending time on what’s important
• Optimize processes and operational performance by reducing time spent on data entry and manipulation 
• Benchmark data against competitor and historical data for continuous improvements
• Supporting the finance team in building business cases for capital allocation

• Collaborate with internal departments on visibility, reporting and analysis needs.
• Manage a team of analysts, organize work to maximize value to the organization and meet departmental needs.
• Strong involvement in the budgeting process for all sales areas in partnership with category managers and operations..
• Review, create and analyze various data, including but not limited to, retail sales, fuel sales, inventory, expenses, performance and labor metrics, rewards, accruals and rebates.
• Bring to life dashboarding technology leveraging a newly created data warehouse. 
• Develop, maintain, and improve databases used to track data, process reports, and answer management questions.
• Consistently manage and embrace change positively with a focus on the future.
• Understand and apply sound business judgement to keep the organization moving forward.
• Possess deep knowledge of key applications such as MS Word, MS Excel, MS Access and MS Power Point
• Understanding of accounting and financial statements
• Ability to communicate with all levels of management and staff both verbally and in writing
• Detail oriented with the ability to see the big picture

Skills: Data Analysis and Reporting, Project Management and Leadership, Budgeting and Financial Acumen, Technical Skills in Database and Dashboarding Technologies, Change Management, Business Acumen and Decision-Making, Communication Skills, Attention to Detail and Big Picture Thinking

• Analysis of current business performance and defining actions needed to improve or sustain performance in the short and mid-term
• Developing and implementing better reporting and analytical tools, driving standardization across countries
• Delivering high quality reports and insights on all available internal and external data to support regional and individual business unit’s decision making.
• Delivering of high-quality ad-hoc analyses and insights, which can combine different types of data.
• Facilitating greater data coverage and data consistency across our region
• Helping to define and build solutions which secure coherency and scalability within the LEGO Group
• BI support of both Regional and local Sales & Marketing functions
• Co-developing a Multi-data portal/Big data projects
• Manage a team of BI Analysts.
• Run reports specific to marketing and finance in specific time frames to answer questions generated by stakeholders and executives.  
• Perform complex data retrieval from databases, specifically MySQL.
• Introduce user-friendly formats for viewing data and interpreting data (graphics etc.). 
• Prepare business unit-friendly reports in Tableau and Excel using pivot tables and charts as appropriate.  

Skills: Business Analysis, Reporting and Analytics Tools Development, Insights Delivery, Ad-hoc Analysis, Data Management and Consistency, Solution Definition and Scalability, Business Intelligence (BI) Support, Data Visualization and Presentation.

• Ability to connect data to derive unique and impactful insights not readily apparent when looking at discrete data sets
  
• Deep understanding of business metrics
• Experience identifying, evaluating, analyzing, and answering critical strategic questions and business situations based on in-depth data analysis
• Proven analytical and quantitative skills with a data-driven approach to problem-solving
• Creative thinker and ’connector’ who is deeply grounded in understanding SaaS business and macro trends and economics
• Highly organized, detail-oriented, and focused on executing at the highest levels
• Comfortable interacting with senior business leaders and leading strategic discussions
• Superb verbal, presentation, and written communication skills
• Excellent organizational and leadership qualities
• Ability to build positive, collaborative relationships with folks across different teams and at all levels of the organization
• Resilient and adaptable, and can thrive in a fast-paced environment
• Positive, empathetic, driven, collaborative, flexible, and confident, with a learning mindset

Qualifications: BA in Business Administration with 5 years of Experience

• Experience working directly with business stakeholders to translate between data and business needs
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with ETL tools, creating data pipelines
• Experience in Relational and Dimensional data modeling
• Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with business leaders and technical teams
• Master’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Proven ability to solve complex quantitative business challenges.
• Proficiency with at least one modern scripting language (e.g. Python)
• Basic proficiency with statistical modeling, research methods, and machine learning applications
• Meets/exceeds Amazon’s leadership principles requirements for this role
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role.

Qualifications: BS in Computer Science with 7 years of Experience

• Experience with data modeling (normalized and de-normalized data models), understanding of the appropriate purpose for each
• Strong focus and ability to design, manage and construct a Dimensional Data Warehouse
• Proficiency with Microsoft SQL Server Database Engine (database administration/maintenance), SQL
• Server Integration Services (SSIS), SQL Server Reporting Services (SSRS) Experience using T-SQL scripts (stored procedures, views, functions etc.) to manipulate data and simplify access to data
• Experience with Microsoft Azure technologies (Azure Data Factory, Databricks, Azure SQL DB, Azure SQL DW, Azure Data Lake, Analysis Services)
• Excellent project management, organization, and follow-up skills
• Excellent client skills and customer relationship management skills
• Ability to meet deadlines and work on multiple projects simultaneously
• Must be a team player, able to work in virtual teams and independently
• Strong financial and business acumen, and ability to speak about technology in the language of business
• Extensive Experience managing a team

Qualifications: BA in Information Systems with 4 years of Experience

• Ability to read, write, speak, and understand English
• Excellent written and verbal communication skills
• Ability to speak to large groups with advanced presentation skills
• Ability to perform critical thinking with data analysis and process
• Ability to effectively consult with department managers and leaders
• Ability to work with others to resolve problems, handle requests or situations
• Ability to prioritize and organize effectively and manage multiple projects/assignments
• Proven ability to perform effectively in a fast-paced environment
• Experience leading a team, mentoring team members, setting expectations, encouraging teamwork, and maintaining company culture and the culture of the team
• Good knowledge of data warehousing concepts, logical/physical database design and dimensional modeling
• In-depth understanding of IT infrastructure such as servers and storage systems, operating systems, virtualization platforms, and disaster recovery tool

Qualifications: BS in Data Analytics with 6 years of Experience

• Experience developing visualizations and reporting using MicroStrategy/Tableau
• Project management (PMP) experience
• IT experience in the areas of Data Warehousing and Business Intelligence
• Experience providing data integration solutions in large-scale enterprise
• environments primarily using MPP databases such as Teradata
• of experience in developing automated frameworks, templates, and design patterns
• Supervisory experience with experience managing multiple teams consisting of employees and contractors
• Experience as an ETL developer, QA Engineer, Build Engineer, or other role involving daily interaction with development practice
• Experience involving daily interaction with software development practices
• Supervisory experience with experience managing multiple teams consisting of employees and contractors
• Experience with Cable TV, Internet, and/or Phone products & services or other related industry experience

Qualifications: BA in Economics with 3 years of Experience

• Must have an expert-level understanding of Data Warehouse.
• Must have expert-level understanding of Microstrategy.
• Nice to have experience of IBM Netezza or Snowflakes.
• Expert-level knowledge of ETL tools.
• Expert-level technical understanding of data modeling, design, and architectural principles across master data, transaction data and derived/analytic data
• Deep knowledge of best practices through relevant experience across data related disciplines and technologies,
• Nice to have experience of SQL Database, Power BI Integrations, SSIS and SSAS
• Ability to create, implement, and manage project plans
• Ability to be s Qualifications elf-motivated and to motivate others in the performance of assigned duties
• Ability to train and develop team members.
• Excellent oral and written communication skills
• Excellent analytical and problem-solving skills

Qualifications: BS in Mathematics with 5 years of Experience

• Ability to read, write, speak and understand English
• Exceptionally strong written and verbal communication skills
• Prior experience and passion for leveraging data to drive significant business impact
• Ability to speak to large groups with advanced presentation skills
• Ability to perform critical thinking in the area of data analysis and process
• Proven leadership and ability to coach and develop a team
• Possess the intellectual curiosity to work through ambiguity
• Ability to prioritize and organize effectively and manage multiple projects/assignments
• Proven ability to perform effectively in a fast-paced environment
• Proficiency in Microsoft Excel & Access required
• Proficiency in Microsoft Office suite required
• Ability to manage multiple concurrent projects and tasks
• Ability to understand data warehouse modeling
• Ability to write, optimize, and evaluate complicated SQL code

Qualifications: BA in Management Information Systems with 5 years of Experience

• Must have a strong command of database concepts and exceptional SQL skills
• Experience working with one or many BI platforms
• IT experience in the areas of Data Warehousing and Business Intelligence
• Experience providing data integration solutions in large-scale enterprise
• environments primarily using MPP databases such as Teradata
• Experience in developing automated frameworks, templates and design patterns
• Experience as a ETL developer, QA Engineer, Build Engineer, or other role
• involving daily interaction with development practices
• Experience involving daily interaction with software development practices
• Experience with Cable TV, Internet, and/or Phone products & services

Qualifications: BS in Statistics with 5 years of Experience

• Experience with business intelligence, data analytics, data visualization, ideally in an health/insurtech environment
• Experience utilizing SQL (DDL) to manage and navigate relational databases
• Demonstrated understanding of the health insurance data flow
• Excellent verbal and written communication skills and the ability to simplify complex concepts for varying levels of audiences
• Excellent project management skills
• Creative and analytical thinking with strong problem-solving skills
• Ability to work independently and with other team members
• A strong desire to work in a fast-paced, ambiguous, evolving, startup environment
• Experience in client-facing data storytelling and presentation roles
• Experience managing a team or processes independently with little oversight
• Experience managing large cross-functional projects or implementations
• Experience working with Google Cloud Platform, BigQuery, and Data Studio

Qualifications: BA in Finance with 6 years of Experience

• Experience in rolling out a business intelligence platform, including data gathering business requirements, leading development effort, and training and onboarding users
• Outstanding and proven project management skills, ability to manage multiple projects in a high-pressure, tight deadline environment
• Deep knowledge of database design and knowledge (SQL)
• Proven ability to extract high impact business insights from data
• Hands on experience building repots and dashboard in consultation with business users
• Excellent written and verbal communication skills, ability to communicate technical concepts to non technical users
• Experience creatine data visualizations in Tableaus or a similar tool
• Experience with setting up data warehouse
• Ability to build data transformation pipelines (ETL) and troubleshoot common issues with them
• Ability to explore data sets and identify data transformation and data quality needs for targeted applications
• Intellectually curiosity, enthusiasm, and a positive attitude
• Experience with cloud technologies (AWS, Google Cloud Platform) is an advantage

Qualifications: BS in Industrial Engineering with 4 years of Experience