Job Summary:

• Find and analyze risk data to better understand potential risks, concerns and outcomes of decisions
• Understands logical data modeling for the creation and support of a semantic data layer
• Aggregate data from multiple sources to provide a comprehensive assessment
• Create reports, summaries, presentations and process documents to display results in an easy-to-understand and clear manner
• Collaborate with other team members to effectively analyze and present data
• Develop systems and processes for gathering and storing data for future analytic projects
• Identify trends that may present a risk to the company
• Monitor internal and external data points that may affect the risk level of a decision
• Work with other data analysts to analyze performance and interpret results
• Communicate analysis with relevant internal and external stakeholders in a concise manner
• Creates high level training programs for rollout to the organization

Skills on Resume:

• Data Analysis (Hard Skills)
• Logical Data Modeling (Hard Skills)
• Data Aggregation (Hard Skills)
• Reporting and Presentation (Hard Skills)
• Collaboration (Soft Skills)
• Data Management (Hard Skills)
• Trend Identification (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary:

• Hands-on Sourcing Guru with traditional and non-traditional sourcing expertise
• Support countries across EMEA who have varied delivery mechanisms
• Provide guidance on managing sourcing 3rd parties and regularly reviewing the ROI
• Build an uber sourcing function for the EMEA TA Centre of Excellence
• Mentoring, and coaching other Sourcers/TA specialists, developing their skills further
• Dive deep into strategies to provide expert knowledge on
• Continually contributing to the knowledge base of the EMEA TA community through coaching and mentoring
• Provide insights reports across the EMEA region for the TA teams
• Assist and lead on talent mapping, competitor analysis initiatives
• Creating unique and robust search strategies to identify and attract high calibre talent
• Leading on building out talent networks and tapping knowledgeable industry sources to develop an on-going pool of candidates
• Providing a value-added service to the current TA and Business stakeholders

Skills on Resume:

• Sourcing Expertise (Hard Skills)
• Cross-Cultural Competence (Soft Skills)
• Vendor Management (Hard Skills)
• Strategic Leadership (Soft Skills)
• Mentoring and Coaching (Soft Skills)
• Market Analysis (Hard Skills)
• Knowledge Sharing (Soft Skills)
• Stakeholder Engagement (Soft Skills)

Job Summary:

• Dashboards and analysis delivered on time
• Deployment of data system aligned with AAA data strategy in time and within budgets
• Customer satisfaction with Data systems being run by the team
• Alignment to all Ethics, Risk and Compliance policies
• Manage annual DandA operating planning process and assess the DandA strategy and prioritized initiatives against the business strategy and intent
• Partnering with stakeholders across the company to modernize investment and business case processes
• Researching, benchmarking, analyzing data, internal/external use cases and making recommendations
• Helping the LDO, EDAA, and SE organization identify the outcomes that require focus to drive value and impact for the organization
• Monitoring and overseeing large, often cross-functional organization-wide DandA projects or initiatives to ensure return of investment and execution on the program of works
• Ensuring meaningful insights and recommended actions for reviewing key performance indicators and SMART brand objectives
• Support building capabilities through organic, in-organic and key partner opportunities and contribute to strategic investment analysis
• Focus on team dynamics via streamlining communication, eliminating silos and driving the core purpose across the DNA of the organization (Make time, information, and decision-making more effective)
• Orchestrate the preparation of materials for key stakeholder meetings, including quarterly reviews and board meetings

Skills on Resume:

• Project Management (Hard Skills)
• Data Strategy Alignment (Hard Skills)
• Stakeholder Management (Soft Skills)
• Ethics and Compliance (Hard Skills)
• Strategic Planning (Hard Skills)
• Data Analysis and Research (Hard Skills)
• Performance Monitoring (Hard Skills)
• Communication and Presentation (Soft Skills)

Job Summary:

• Lead three data functions: Data Analytics, Data Science, and Data Engineering
• Help the team scale data architecture and processes
• Help the business leverage the unique renovation dataset to aid better and faster decision-making, as well as the functional and technical development of data products
• Drive the data product strategy and roadmap
• Coach team members in further developing their craft
• Hands on delivery of standardised reporting solutions, and delivery of self-service analytics solutions by partnering with stakeholders across the entire supply chain network
• Lead the execution of the analytics strategy within a domain-focused squad
• Act as Product Owner and lead a domain-focused squad, managing backlog and prioritisation
• Act as Product Owner for cross-functional advanced analytics squad
• Manage and secure millions of identities for some of the world’s most well known companies across a broad range of industries and geographies.
• Program and Experience organization, reporting to the Chief Product Officer. 
• Must be analytical, strategic thinkers comfortable with driving tactical execution, and have an enterprising attitude. 

Skills on Resume:

• Leadership in Data Functions (Hard Skills)
• Data Architecture and Process Scaling (Hard Skills)
• Data Product Development (Hard Skills)
• Data Product Strategy (Hard Skills)
• Team Coaching (Soft Skills)
• Reporting and Analytics Delivery (Hard Skills)
• Execution of Analytics Strategy (Hard Skills)
• Product Ownership and Prioritization (Hard Skills)

Job Summary:

• Assist the Head of IT Assurance and Analytics in enhancing the existing Data Analytics Strategy, and formulate future analytics roadmap, plans, resource readiness, suitability of analytics tools/technologies
• Identify and evaluate new automation and analytics opportunities, objectives, requirements, scope
• Fraud detection, compliance monitoring, as well as the Group’s business and operational controls. 
• Use of advanced analytics such as Robotic Process Automation (RPA), machine learning, natural language processing or predictive modeling techniques.
• Collaborate with diverse stakeholders to identify their requirements or challenges with data
• Review proposed analytics work plans and designs to facilitate continuous auditing and monitoring (CCA/CCM) of complex transactional control testing, correlating data from various internal and external data sources.
• Generate proactive leads/triggers for surprise checks, fraud detection, compliance monitoring, and re-prioritization of assurance areas.
• Coach the junior analysts to perform complex aspects of data analytics, and determine suitable competency development plan as part of capability building towards becoming an Analytics “Centre of Excellence”.
• Identify and drive the implementation of new analytics visualization and dashboarding to allow auditors to provide real-time assurance, discover areas with greatest risk and deliver oversight, insight and foresight to the business.
• Develop in-house analytics training programs or monthly forums to upskill the auditors, compliance officers and fraud investigators on practical analytics skills and data literacy.

Skills on Resume:

• Analytics Strategy Development (Hard Skills)
• Automation Evaluation (Hard Skills)
• Fraud Detection (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Auditing and Monitoring (Hard Skills)
• Risk Management (Hard Skills)
• Leadership and Coaching (Soft Skills)
• Visualization and Dashboarding (Hard Skills)

Job Summary:

• Analyze market trends and business data to inform business strategy, technical direction, short and long-term investments, and resource allocation
• Be the go-to-person for all data related questions, insights and analysis for the Greater China Region
• Apply expertise in quantitative analysis and data visualization to tell the story behind the numbers and provide recommendations to leadership team
• Effectively plan and collaborate with team members on data-driven projects to improve project planning, forecasting, as well as internal tools
• Work independently to establish and refine rhythm of business analyses, goals, and reporting cadence for leadership in the Greater China Region
• Navigate ambiguous situations to drive decision making and improved outcomes using data
• Partner closely with the BPandO team and EMEA offices to share insights, learnings and best practices
• Co-create the future of analytics landscape. 
• Use process maps and design leading indicators to produce effects on output metrics
• Connect market, HUB and global teams to harness their expertise
• Champion the CSAR effort: Consolidate, Streamline, Automate, Robotize

Skills on Resume:

• Market Analysis (Hard Skills)
• Data Expertise (Hard Skills)
• Quantitative Analysis (Hard Skills)
• Project Planning (Hard Skills)
• Independence (Soft Skills)
• Decision Making (Soft Skills)
• Collaboration (Soft Skills)
• Innovation (Hard Skills)

Job Summary:

• Delivering data services and insights in service quality customer experience and customer support.
• Leading a team of highly professional data engineers and analysts to create and expand data pipelines (ETLs), create business views, and deliver visual reports to support business decisions and department KPIs.
• Identify customer frictions and opportunities to investigate and improve customer satisfaction.
• End-to-end analysis - brings micro and macro insights to CX management.
• Conceptualize, create, and maintain dashboards for tracking key metrics and experiments, providing different key members optimal views of their teams' results.
• Refine and improve definitions of department KPI'S metrics as the company's challenges and data evolve
• Undertake operational research to identify and recommend optimal/near-optimal solutions to complex challenges
• Design and draft regular reports of progress towards department goals
• Collaborate with data engineers to better log data and manage the accessibility of data tables
• Identify meaningful insights and interprets and communicates findings and recommendations.
• Maintain awareness of emerging analytics and big-data technologies.

Skills on Resume:

• Data Analysis (Hard Skills)
• Leadership (Soft Skills)
• Customer Satisfaction (Hard Skills)
• End-to-End Analysis (Hard Skills)
• Dashboard Management (Hard Skills)
• KPI Refinement (Hard Skills)
• Operational Research (Hard Skills)
• Communication (Soft Skills)

Job Summary:

• Analysis and documentation of information and reporting requirements 
• Analysis and Identification of appropriate data sources  
• Designing and building scalable data models and ETL processes to support analysis and reporting on platforms like Redshift, SQL Server, Bigquery
• Excellent knowledge in Data warehouse design, development, and utilization 
• Designing/Developing prototypes and get them approved by business users 
• The typical prototype would include database design and optimization, architecting tables, views, stored procedures, and visualizations using Tableau 
• Data model design diagrams and documentation prep 
• Strong Knowledge of action filters, parameters, and calculated sets for preparing Tableau dashboards 
• Excellent knowledge of Data and Row-level secure it model implementation in Tableau 
• Develop Tableau visualizations and dashboards using Tableau Desktop 
• Develop Tableau workbooks using multiple data sources using Data Blending 
• Hands-on with Data cleansing using Tableau Data Source Editor and Tableau Prep 

Skills on Resume:

• Information Analysis and Documentation (Hard Skills)
• Data Source Identification (Hard Skills)
• Data Model Design and ETL (Hard Skills)
• Data Warehouse Utilization (Hard Skills)
• Prototype Design and Approval (Hard Skills)
• Data Model Diagramming (Hard Skills)
• Tableau Dashboard Design (Hard Skills)
• Tableau Security Implementation (Hard Skills)

Job Summary:

• Responsible for leading cross-functional projects using advanced data science 
• Analytics techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Work with business leaders to identify their business problems and develop the right approach and analytical solution in Business domains such as Service Delivery, Supply chain.
• Lead the development of advanced analytics and statistical models to support the analytic solution, Example: Automatic Supplies replenishment, Parts cost optimization
• Develop hypothesis trees and other relevant problem-solving approaches for addressing the business challenges.
• Lead the design of data models, reporting, automation, dashboards and performance metrics that support key business decisions.
• Performing/interpreting value analysis to identify value creation opportunities for business
• Support the development teams on implementing analytical solution from a business perspective
• Act as a liaison between business leaders and Project teams
• Monitoring achievement of strategic, financial and operational benefits, ensuring planned business outcomes are achieved

Skills on Resume:

• Data Science Proficiency (Hard Skills)
• Business Domain Knowledge (Hard Skills)
• Project Leadership (Soft Skills)
• Statistical Modeling (Hard Skills)
• Problem-Solving Skills (Hard Skills)
• Data Modeling and Reporting (Hard Skills)
• Value Analysis (Hard Skills)
• Communication and Liaison (Soft Skills)

Job Summary:

• Include reviewing technical stack and proposing alternatives where commercially effective
• Evolving analytics platforms to improve robustness, reusability, and testability.
• Account segmentation
• Performance analysis
• Predictive analysis on growth opportunities
• Return on investment analysis on key initiatives
• Recommendation systems
• Automating reporting outputs
• Gather requirements from key business stakeholders
• Develop innovative solutions to the stakeholder requirements, challenging the status quo when required to impact how the business operates
• Create and lead global project teams across onshore and offshore teams and other stakeholders to deliver commercial and business-oriented solutions
• Provide technical direction across the project phases, running review sessions 
• Pair-programming with other team members to ensure high quality outputs are delivered
• Create compelling deliverables (e.g. presentations, dashboards) to communicate key insights and recommendations to senior audiences
• Coach and mentor junior colleagues and peers in their technical development through hosting training sessions and informal knowledge sharing.

Skills on Resume:

• Analytics Platform Evolution (Hard Skills)
• Account Segmentation (Hard Skills)
• Performance Analysis (Hard Skills)
• Predictive Analysis (Hard Skills)
• Recommendation Systems (Hard Skills)
• Reporting Automation (Hard Skills)
• Compelling Communication (Soft Skills)
• Mentorship and Coaching (Soft Skills)

Job Summary:

• Acts as technical lead on assigned teams to lead internal and client technical resources to complete large complex analytical projects end-to-end.
• Translates and clarifies complex business requirements for use by technical staff, makes necessary recommendations on architecture, timelines and software delivery.
• Engages with internal teams, project teams and business areas to discuss issues and document or explain technical solutions in a simplified meaningful way.
• Participates as facilitator in cross-functional teams.
• Identifies technical trends and problems through complex big data analysis.
• Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
• Leads design and agile delivery effort by suggesting possible solutions or helping to shape delivery team thinking.
• Performs technical design reviews and code reviews.
• Ensures unit test is completed and meets the test plan requirements, system testing is completed, and system is implemented according to plan.
• Contributes to estimation and status activities.
• Mentors team members and provide troubleshooting support.

Skills on Resume:

• Project Leadership (Soft Skills)
• Business Requirement Translation (Hard Skills)
• Effective Communication (Soft Skills)
• Facilitation (Soft Skills)
• Data Analysis (Hard Skills)
• Data Interpretation (Hard Skills)
• Design and Agile Delivery (Hard Skills)
• Quality Assurance and Mentoring (Hard Skills)

Job Summary:

• Generate Tableau Dashboard with quick/context/global filters, parameters, and calculated fields. 
• Create Tableau Dashboards with trends, interactive views, and drill-downs 
• Report/Dashboard testing and validation 
• Expertise in Tableau REST API and Metadata tables 
• Experience with R/Python scripting and integration with Tableau 
• Working knowledge with Tableau Web Data Connectors 
• Capacity planning and performance testing using Tabjolt 
• Data-driven alerts generation using VizAlerts 
• Sites, Projects, Users management, and security model implementation 
• Release Management – Deployment of Workbooks and data sources 
• Good understanding of tableau Processes/services (Data Engine, Gateway, server, application manager, backgrounder, search engine, etc.) 

Skills on Resume:

• Tableau Dashboard Development (Hard Skills)
• Interactive Visualization Creation (Hard Skills)
• Testing and Validation (Hard Skills)
• Tableau REST API and Metadata Tables (Hard Skills)
• Scripting with R/Python (Hard Skills)
• Tableau Web Data Connectors (Hard Skills)
• Capacity Planning and Performance Testing (Hard Skills)
• Data-Driven Alerts Generation (Hard Skills)

Job Summary:

• Own analytical insights and visualization across the business: from marketing, merchandising, product, operations and finance.
• Identify areas of opportunity for the business and key changes in performance.
• Own KPIs and dashboards that drive operations across the company
• Build and lead a team of analysts
• Delivered value in analytically driven businesses with increasing levels of responsibility.
• Have high bandwidth and are able to come up with simple, data driven solutions 
• Taking an ambiguous problem and putting together a structured approach to drive to an answer.
• Working and partnering across diverse groups of people to impact the business.
• Managed and coached a team of high performing analysts
• Expert SQL skills and knowledge of a visualization platform (e.g. Looker, Tableau)
• Serve in a position of leadership over critical objectives where decision making is of utmost concern to the outcome.
• Work with cross-discipline teams to ensure connectivity between various data sources and business problems.

Skills on Resume:

• Data Analysis (Hard Skills)
• Identifying Opportunities (Hard Skills)
• Dashboard Development (Hard Skills)
• Team Leadership (Soft Skills)
• Analytical Problem-Solving (Hard Skills)
• Communication & Collaboration (Soft Skills)
• Coaching & Development (Soft Skills)
• SQL & Visualization (Hard Skills)

Job Summary:

• Develop analytical approaches to answer business questions.
• Help build a customer journey and optimize the performance of all the e-commerce channels.
• Optimise SEO positioning and support ad content creation for PPC campaigns.
• Conduct weekly A/B testing, in order to optimize campaigns.
• Report to senior management on campaigns optimization.
• Work with other departments in order to strategize around the optimization of traffic through the brands' digital channels.
• Ability to work collaboratively within a team environment.
• Demonstrated Technology Leadership
• Mastery of T-SQL and data modeling methodologies with demonstrated experience in PowerBI (or related), Azure Analytical Cloud Services, and SnowFlake.
• Strong Analytical skills with the ability to identify and solve business problems.
• Blend of business (functional), technical (IT), and project management/agile skills.
• Analyze the requirements and evaluate technologies for data science capabilities including NLP, ML, Predictive modeling, statistical analysis and hypothesis testing.

Skills on Resume:

• Analytical Skills (Hard Skills)
• E-commerce Optimization (Hard Skills)
• SEO and PPC Expertise (Hard Skills)
• A/B Testing (Hard Skills)
• Campaign Optimization Reporting (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)
• Teamwork (Soft Skills)
• Technology Leadership and Data Skills (Hard Skills)

Job Summary:

• Design and implement modern, scalable data solutions using a range of new and emerging technologies for data integration and data unification
• Translate CRM data analytics and marketing needs/requests/goals into robust technical requirements for Customer Data Platform (Azure Data Factory) design and development
• Accountable for delivery performance of Customer Data Platform, CRM data analytics products and precision marketing capabilities (e.g. quality, internal client satisfaction, financial)
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, deep learning and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making
• Translate data insights into meaningful reports in BI dashboard, Exel, Powerpoint, whichever applicable, to all levels of the organization
• Demonstrate experience and expertise in driving and managing large scale delivery projects (for both Solution Delivery and Application Management projects) by strategical planning project launches and set right expectations for different stakeholders, in efficient manner
• Mentor and upskill fellow group members
• Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including “big data” sources.
• Identify and validate advanced software programs, algorithms, query techniques, models complex business problems, and automated processes to cleanse, integrate, and evaluate data sets.

Skills on Resume:

• Data Solution Design and Implementation (Hard Skills)
• CRM Data Analytics Translation (Hard Skills)
• Delivery Performance Accountability (Soft Skills)
• Applied Data Science (Hard Skills)
• Data Insights Reporting (Hard Skills)
• Project Management (Soft Skills)
• Mentoring and Upskilling (Soft Skills)
• Data Consolidation and Analysis (Hard Skills)

Job Summary:

• Serve as Analytics Capability Lead for Supply Chain in North America to develop and maintain analytical platforms and tools, and coach/train Supply Chain teams. 
• Work closely with cross-functional teams on strategic developmental projects for business growth and enhancement.
• Lead advanced analytics and work with the Global Supply Chain teams to achieve End-to-end visibility by bringing in channel/market insights and linking to global tools and applications to drive improvement in areas such as sales growth, supply lead time, and service level.
• Collaborate with various Supply Chain functional teams and other Technical Operations teams to improve process visibility and efficiency for supply into the region.
• Support metrics development, alignment and deployment, Execute the data related activities like Data acquisition, Data transformation, Data integration, Data discovery and summary of data formats, etc. 
• Tests the experimental design approaches to validate finding or test hypotheses. 
• Develop innovative and effective approaches to solve analytics problems and communicate results and methodologies.
• Conducts advanced data analysis and moderately complex designs' algorithm. 
• Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. 
• Supports Building powerful visualizations to convey the insights derived from the data.
• Works on moderately complex and cross functional data science/analytics solutions. 
• Aligns with the work plans timelines to meet time frames.
• Supports to design experiments, test hypotheses, and build models.
• Follows the given experimental design approaches to validate finding or test hypotheses.
• Efficiently channel the ad-hoc issues in demand flows and troubleshoot them.
• Follows standard operating procedures (SOPs), Stay in sync with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. 
• Comply to all Novartis operating procedures as per legal / IT / HR requirements.
• Ability to build web applications using tools such as Python, JavaScript.

Skills on Resume:

• Analytics Capability (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• End-to-End Visibility (Hard Skills)
• Process Improvement (Soft Skills)
• Data Management (Hard Skills)
• Experimental Design and Testing (Hard Skills)
• Innovative Problem-Solving (Soft Skills)
• Data Analysis and Modeling (Hard Skills)

Job Summary:

• Interpreting data to develop new revenue streams, optimise propositions and offers and improve the customer experience
• Influencing the roadmaps of product/business teams through compelling data storytelling and viable recommendations.
• Gather requirements from internal and external senior stakeholders, and create an analysis pipeline  
• Communicate constantly with external and internal stakeholders, showing insights and influencing their decision-making.
• Creating dashboards and visualizations in Looker and presentation decks.
• Working closely with the user research and data science teams to uncover deeper insights about how customers interact with the products.
• Working closely with the Product org to design superb products, define KPIs, estimate impact, and measure the impact of product features, using relevant methods such as experiment design, ad-hoc analyses, dashboards and predictive models.
• Driving best practices in terms of data quality and code quality.
• Working mainly with debt, Snowplow/Kafka and Looker in a Google Cloud Platform environment (BigQuery, Google Analytics).
• Work with technology providers such as Google, Adobe and others to ensure and maintain the latest product knowledge and roadmap.

Skills on Resume:

• Data Interpretation (Hard Skills)
• Data Storytelling (Soft Skills)
• Stakeholder Management (Soft Skills)
• Communication (Soft Skills)
• Dashboard Creation (Hard Skills)
• Collaboration (Soft Skills)
• Product Development (Hard Skills)
• Quality Assurance (Hard Skills)

Job Summary: 

• Develop microservices (deployed using Kubernetes) to serve data from the data lake
• Expose machine learning models’ predictions to a Travel team
• Supply data to external parties, to connect data to BI and analytics tools
• Build ingestion pipelines to Google BigQuery-based data lake
• Develop new and redesign existing features of products
• Suggest on interfaces and other possible improvements that might be done
• Write technical documentation
• Keep the code clean and review team members’ designs
• Ensure the reliability and scalability of developed applications
• Review the legacy code in order to avoid the production bugs
• Handle the technical interviews with other developers willing to join

Skills on Resume:

• Microservices Development (Hard Skills)
• Machine Learning Integration (Hard Skills)
• Data Management and Integration (Hard Skills)
• Data Pipeline Development (Hard Skills)
• Product Development and Feature Enhancement (Hard Skills)
• Interface Design and Improvement (Hard Skills)
• Technical Documentation (Hard Skills)
• Code Quality Assurance (Hard Skills)

Job Summary:

• Build strong relationships with clients to better understand their business roadblocks and goals.
• Take a proactive approach to problem-solving, developing hypotheses and actionable insights from data sets.
• Drive team development for the Analytics and Insights space across AKQA, as well as maintaining and driving a program of analytics enablement at AKQA through team certifications.
• Prepare reports and create dashboards that give clients information and insight into their business performance.
• Collaborate with technical engineers to integrate marketing and advertising technology platforms.
• Configure and deploy website tagging and analytics tools for site implementations.
• Prepare presentations and present to senior-level clients, combining the ability to generate insights with data manipulation and visualization skills.
• Mentor team members and enhance the growth and reputation of AKQA and Marketing Strategy & Performance team.
• Maintain a high level of client satisfaction, through strong client relationships and stakeholder engagement.
• Drive strategic thinking across clients and opportunities working with client service teams.
• Facilitate and drive new business growth across Analytics solutions and insights generation.

Skills on Resume: 

• Client Relationship Building (Soft Skills)
• Proactive Problem-Solving (Soft Skills)
• Team Development and Enablement (Soft Skills)
• Reporting and Dashboard Creation (Hard Skills)
• Technical Collaboration (Hard Skills)
• Website Tagging and Analytics Tools (Hard Skills)
• Presentation Skills (Soft Skills)
• Mentorship and Team Growth (Soft Skills)

Job Summary:

• Designing KPIs dashboard to provide support for different functions within the organisation
• Preparing month-end decks (top-level dashboards, supervisory boards)
• Providing support on budget, forecasting and managerial closing processes
• Managing budget and forecast presentations on a group level
• Taking part in implementation of financial planning tool 
• Improve speed and connection within the organisation and manage scenario analysis
• Identifying the best practices and best method to provide KPIs
• Collaborating with different departments' stakeholders on report designing
• Design and develop methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including “big data” sources.
• Identify and validate advanced software programs, algorithms, query techniques, models complex business problems, and automated processes to cleanse, integrate, and evaluate data sets.
• Analyze the requirements and evaluate technologies for data science capabilities including NLP, ML, Predictive modeling, statistical analysis and hypothesis testing.
• Work with cross-discipline teams to ensure connectivity between various data sources and business problems.
• Identify meaningful insights and interprets and communicates findings and recommendations.
• Maintain awareness of emerging analytics and big-data technologies.
• Serve in a position of leadership over critical objectives where decision-making is of utmost concern to the outcome.

Skills on Resume:

• Data Analysis and Visualization (Hard Skills)
• Financial Planning and Analysis (FP&A) (Hard Skills)
• Project Management (Hard Skills)
• Data Integration and Analysis (Hard Skills)
• Advanced-Data Analytics (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Problem-solving and Best Practices Identification (Soft Skills)
• Leadership and Decision-making (Soft Skills)