Job Summary: 

• Build transformations using statistical and data warehousing tools
• Convert raw platform and performance datasets into reports and dashboards for the Product, UX, Marketing and Content team.
• Make sure the data from various data sources are up-to-date, the transformations are running as scheduled and data consistency is maintained
• Proactively analyze the user behavior of the Audio streaming platform.
• Develop models and in-depth ad hoc reports for large scale campaign/product/pricing/content strategies and/or initiatives
• Develop KPIs, visualize dashboards, identify trends across the platform, channels, campaigns, and user segments
• Generate actionable insights for Stakeholders
• Constantly validating and improving the performance of reports, dashboards and models over time
• Join strategic meetings as an advocate of the data domain to uphold data-driven thinking
• Create PowerPoint slides and Excel Sheet by collecting input from relevant stakeholders and analyst the insight
• Present briefing to internal team and Client

Skills on Resume:

• Data Transformation (Hard Skills)
• Dashboard Development (Hard Skills)
• Data Synchronization (Hard Skills)
• User Behavior Analysis (Hard Skills)
• Model Development (Hard Skills)
• KPI and Trend Analysis (Hard Skills)
• Stakeholder Reporting (Hard Skills)
• Strategic Advocacy (Soft Skills)

Job Summary: 

• Design and develop visualizations and dashboards using Tableau. 
• Create, automate and maintain reports in well-designed visualization/reporting in Tableau 
• Participate in data discovery, new visualizations, system set-up, adding new objects to databases
• Perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems data) 
• Capture and translate Business Requirements into technical solutions
• Leverage stored procedures and functions within a DW environment
• Assist with Data Modeling and Virtualization
• Collaborate with internal and external partners for the definition, planning, modeling, governance, and implementation of Tableau capabilities.
• Create briefings by drafting, receiving feedback and finalizing the analysis
• Create and present measurement strategies
• Gather, analyze, and interpret industries and content performance
• Main focus on all data and reports related to Mobile application

Skills on Resume: 

• Tableau Visualization (Hard Skills)
• Report Automation (Hard Skills)
• Data Discovery (Hard Skills)
• Data Analysis (Hard Skills)
• Technical Solution Design (Hard Skills)
• Stored Procedure Utilization (Hard Skills)
• Data Modeling (Hard Skills)
• Cross-functional Collaboration (Soft Skills)

Job Summary: 

• Developing a strong understanding of the end-to-end investment management operational processes, the data required to support these processes, and the data quality and reporting issues that can occur
• Collaborating with business owners and stewards of data to assist in establishing ongoing quality assurance processes
• Documenting existing system and group processes and data flows, and build requirements for new reporting and data delivery solutions, ensuring there are ongoing support arrangements
• Providing reviews of requirements and designs to relevant stakeholders and obtaining agreement and sign off on proposals
• Acting as a change agent for data usage overall, encouraging and facilitating continuous improvement
• Creating and presenting accurate estimates of effort, costs and timelines for business-side deliverables and assist in prioritization
• Collaborating with business and technology teams on large initiatives which utilize Agile methodologies
• Responsibilities for key metrics, analysis
• Processing, cleansing and verifying the integrity of data 
• Identify new opportunities for data gathering, improve data and data quality
• Cooperation across many teams on a daily basis
• Data and reports preparation

Skills on Resume: 

• Process Understanding (Hard Skills)
• Quality Assurance Development (Hard Skills)
• Documentation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Change Management (Soft Skills)
• Estimation and Prioritization (Hard Skills)
• Agile Methodology (Hard Skills)
• Data Integrity Verification (Hard Skills)

Job Summary: 

• Responsible for supporting APAC programs where transactional data is available to more deeply understand program performance
• Champion the latest analytical methods that could benefit BrandLoyalty and its client base
• Internal best practice in other business areas which could be leveraged
• Act as the bridge between the requirements of BrandLoyalty colleagues and clients and the IT systems that underpin solutions such as Microsoft PowerBI reporting
• Work closely with the Japanese team to rapidly expand the use of data and data insights across business and in support of existing and new clients
• Introduce the use of the new Operational Dashboard to existing Japanese clients and embed it as ‘normal practice’
• Identify opportunities to support Japanese retail clients through understanding program performance, either via traditional methodologies (embedded in proprietary Analytical Framework) or new methodologies where appropriate (i.e. time series)
• Work closely with retailers to extract large data sets from multiple data sources according to a pre-agreed format and data structure. 
• Be processed and modeled into a standard output for cross-checking and validation with the retailer and internal Client data team
• Work closely together with (other) Data Engineers, Data Scientists and Business Analysts and understand requirements
• Develop and build new data solutions by using existing and new technology
• Make it possible that the (near) real-time dashboard is the consumer's voice for the business
• Advise the CBI Manager BI/data related matters

Skills on Resume: 

• Program Analysis (Hard Skills)
• Analytical Methods Advocacy (Hard Skills)
• Cross-Functional Best Practices (Soft Skills)
• IT and Business Integration (Hard Skills)
• Data Expansion Collaboration (Soft Skills)
• Dashboard Implementation (Hard Skills)
• Data Extraction (Hard Skills)
• Technical Advising (Soft Skills)