Job Summary: 

• Managing and coaching a team of data analysts (potentially across different countries) 
• Developing subject matter expertise in a given domain and being the business point of contact 
• Managing various business stakeholders and project deliverables 
• Partnering with business teams to develop key metrics for success measures 
• Ingesting, processing, visualizing and analyzing data 
• Discovering and communicating actionable and accurate insights 
• Creating dashboards for performance measures and operational visibility 
• Building and maintaining data models 
• Build relationships with and work in a collaborative team of Business Intelligence analysts and the broader Enterprise team 
• Drive advanced analyses to identify underlying business trends and provide timely strategic recommendations

Skills on Resume: 

• Team Management (Soft Skills)
• Subject Matter Expertise (Hard Skills)
• Stakeholder Management (Soft Skills)
• Data Visualization (Hard Skills)
• Data Processing (Hard Skills)
• Insight Communication (Soft Skills)
• Dashboard Creation (Hard Skills)
• Relationship Building (Soft Skills)

Job Summary: 

• Lead the analytics function for Supply Products.
• Work closely with business leaders and product managers across multiple functions 
• Drive reviews and business impact
• Understand the business requirements, manage and plan analytical projects from conceptualization to reporting
• Determine the gaps between requirements and functionalities and define workable solutions
• Bridge the gap using the best business practices in the industry
• Define and co-own performance metrics, generate actionable insights
• Ensure timely and quality deliverables
• Mentor, motivate, and lead a team of young and talented analysts
• Help grow professionally and generate maximum efficiency

Skills on Resume: 

• Analytics Leadership (Soft Skills)
• Business Collaboration (Soft Skills)
• Project Management (Hard Skills)
• Requirements Analysis (Hard Skills)
• Solution Development (Hard Skills)
• Performance Metrics Definition (Hard Skills)
• Team Mentoring (Soft Skills)
• Professional Development (Soft Skills)

Job Summary: 

• Provide the vision, execute and deliver on the BI roadmap including projects contributing to self-serve platforms (Tableau) to answer key business questions and customer demographics and behavior insights
• Provide subject matter expertise in advanced analytics, data infrastructure, BI and analytical tools
• Own data project planning process, workload and capacity planning
• Design and lead comprehensive data exploration and analysis
• Work on ad hoc business analysis, automate and monitor reports and reporting platforms
• Own business performance reporting and dashboards. 
• Involve migrating legacy reports into the current platform with insightful metrics and visualization
• Gather user requirements to define the data alongside the data engineer
• Creating and maintaining data documentation, and sharing data analysis with the wider teams, consistently improving the processes and procedures
• Build a stable, scalable, self-serve reporting platform to empower business teams 
• Build strong cross-functional relationships with various business stakeholders

Skills on Resume: 

• BI Roadmap Execution (Hard Skills)
• Advanced Analytics Expertise (Hard Skills)
• Project Planning (Hard Skills)
• Data Exploration and Analysis (Hard Skills)
• Business Performance Reporting (Hard Skills)
• User Requirements Gathering (Soft Skills)
• Process Improvement (Soft Skills)
• Cross-Functional Relationship Building (Soft Skills)

Job Summary: 

• Ensure a standardized and consistent approach relating to Regs participation and analysis of retrieved data including written documentation of processes and data results.
• Act as subject matter specialist to assist in requirements gathering and analysis with other clinical and IT&G team members to design and implement requirements to support consistent, reliable data retrieval from EDW and other systems
• Works to think analytically and critically to lead reporting standardization and automating efforts, promoting efficiency and accuracy in data retrieval.
• Present data formally and informally and facilitate discussion regarding data exchange.
• Provide moderate analysis as requested by Group, Division, and Corporate leaders
• Ensure collaborative working relationships with Corporate departments, Divisions, and Practices.
• Use and support database applications and analytical tools, and evaluate data quality, applications, and workflow functions.
• Format, run, distribute, and interpret reports using the available tools.
• With direction and supervision, provide in-depth “what if” analyses of data exchange change requests.
• Escalate to and collaborate with the Assistant Vice President of pharmacy on program issues and risks to identify solutions.
• Support Regs, Legal Counsel, Senior Leadership and other HCA Healthcare entities.

Skills on Resume: 

• Standardization of Processes (Hard Skills)
• Requirements Gathering (Soft Skills)
• Analytical Thinking (Soft Skills)
• Reporting Standardization (Hard Skills)
• Data Presentation (Soft Skills)
• Collaborative Relationship Building (Soft Skills)
• Database Application Support (Hard Skills)
• In-Depth Data Analysis (Hard Skills)

Job Summary: 

• Daily support of the current InControl Space application software.
• Meets with end users to initiate or respond to requests for new program development or modifications to existing software.
• Analyze the intention of requests and formulate the best methodology to apply to the problem, factoring in variables such as time, system resources, impact on other systems, the technical ability of the end user, etc.
• Work with clients to customize specific and focused management reporting.
• Identify and collaborate with disparate IT teams across Citi to innovate solutions that can bring about process improvements and new insights.
• Perform data mining from various systems and procure information that can provide value and insight for management by systematic means.
• Drive and direct application development resources to produce user-friendly interfaces and optimal database designs.
• Performs testing and validation of application program changes.
• Take responsibility for performing end-user training.
• Oversees end-user testing and implementation for each iteration of application changes.
• Partner across teams to understand requirements both business and tech-related.

Skills on Resume: 

• Application Support (Soft Skills)
• User Requirement Analysis (Soft Skills)
• Management Reporting Customization (Hard Skills)
• Collaboration with IT Teams (Soft Skills)
• Data Mining (Hard Skills)
• Application Development Oversight (Hard Skills)
• Testing and Validation (Hard Skills)
• End-User Training (Soft Skills)

Job Summary: 

• Work extensively with numbers and data, collecting data and ensuring the data's cleanliness and accuracy as well as interpreting the data
• Manage large amounts of data, analyzing them and developing data-driven insights to the business to make strategic planning to drive improvement actions and sound business decisions
• Lead and oversee the entire performance of the Operations department by developing dashboards, monitoring trends and identifying risks, providing periodic and ad hoc reporting to facilitate the Operations in keeping track of performance and drive improvement
• Maintain a periodical report to keep track of key metrics within the department
• Developing and supplying the Operations Management with ad-hoc reporting requirements
• Collaborate with the business data owners to establish business and data rules and be a consultative partner on how each team can leverage data for their advantage
• Foster scalability by empowering partners to perform analyses independently
• Develop and improve tracking of key metrics for acquisition funnels and sales efficiency, retention, and customer lifetime value, and associate them with product engagement and financial impact
• Manage the entire Data Quality (DQ) program, which covers data points from all of CRS systems (REALM, Archibus, CoStar and InControl).
• Oversight of monthly deliverables from third-party vendors.
• Chair monthly meetings with client relationship managers, and regional and functional stakeholders to discuss data anomalies and develop strategies to correct them.

Skills on Resume: 

• Data Collection and Cleaning (Hard Skills)
• Data Analysis (Hard Skills)
• Dashboard Development (Hard Skills)
• Metrics Tracking (Hard Skills)
• Business Collaboration (Soft Skills)
• Scalability Empowerment (Soft Skills)
• Data Quality Management (Hard Skills)
• Stakeholder Engagement (Soft Skills)

Job Summary: 

• Lead Data Readiness E2E process (data conversion and quality), procedure and guidelines for both the project and partnering with teams to support the sustain phase
• Activate the intake process for issues/changes related to new quality requirements
• Lead and guide Capability teams on all conversion/data quality related requirements, design, development and testing
• Work closely with Application Engineering, MDG, Architecture and Release teams for consistent and trusted data in MDG and SAP S/4 systems
• Formulate, set up and govern the process needed to address data structure classifications, workflow for quality and exception needs, governance processes and data cleansing framework
• Profile data and perform root-cause analysis on quality-related data issues and align plans for corrective actions with data owners
• Responsible for defining the quality framework, quality-related data profiling for project and production support needs
• Coordinate with Enterprise on data quality needs of SAP master data for Material, Vendor, Customer and Plant
• Work closely with Enterprise and Master data stewards on defining the governance process
• Implement DQ tools, train Capability teams on all quality needs, implement process and governance around data quality
• Participate in agile process for the Data Readiness Team projects, coordinate with Project managers, Scrum masters and Development teams on day-to-day activities
• Work with internal and external stakeholders, other support services, to remove blockers, if any
• Govern and lead 100% utilization of Agile tools (Jira) and testing tools (ALM) for all SAP project implementations

Skills on Resume: 

• Data Quality (Hard Skills)
• Data Governance (Hard Skills)
• SAP Masterdata (Hard Skills)
• Data Conversion (Hard Skills)
• Root Cause (Hard Skills)
• Agile Delivery (Soft Skills)
• Stakeholder Collaboration (Soft Skills)
• Process Leadership (Soft Skills)

Job Summary: 

• Forecast and model product and monetization scenarios to test the likely impact of changes
• Input what data should and shouldn’t be shared and help to apply a strategic lens for how data is used across the product (including in communications outside of the product)
• Analyse the feedback on the current monetisation model for Creators
• Use quantitative data to inform the team on who benefits from specific models and changes, and analyse how closely this aligns with Canva’s goals, and be the voice for those who are not benefiting or who are experiencing diminishing returns
• Test the model with creators
• Work with Product to define how this should be positioned internally and externally
• Present recommendations to the team and leadership
• Taking ownership and recognition of work
• Continue to regularly monitor the royalty system, including analyzing movements and abnormalities, and ensure that they continue to align with Canva’s strategic direction while working with Product and Finance to make adjustments
• Work with the team on researching the competitive landscape
• Improve the lives and livelihoods of thousands of Creators while creating business value for Canva, on a mission to empower the world to design

Skills on Resume: 

• Forecast Modeling (Hard Skills)
• Monetization Analysis (Hard Skills)
• Data Strategy (Hard Skills)
• Quantitative Analysis (Hard Skills)
• Product Collaboration (Soft Skills)
• Strategic Communication (Soft Skills)
• Executive Presentation (Soft Skills)
• Ownership Mindset (Soft Skills)

Job Summary: 

• Develop and mentor a team of Data Analysts
• Work closely with data-owners, insights team and developers to understand their data requirements, to be innovative with data and technology to find new insights and improve data quality and support the decision-making process across Sky's new propositions
• Define business and technical requirements to develop analytics capability, e.g., data strategy and governance, data cleansing, data augmentation, and data quality
• Conduct exploratory and investigative analysis on new/ existing data sources
• Analyse and interpret key performance measures and trends in multidimensional datasets
• Creating and maintaining well-documented and cleansed data sources to model data and designing processes to ensure that data models are kept, and that data is used correctly across the business with ease of access
• Audit and review implementation / overall data quality to flag tracking issues that could lead to the wrong business decision
• Providing support, guidance, and examples for end-users across the business to create their own reports
• Driving a "data first" mentality with the Product Managers/Analysts to ensure that they are tracking the right data and interpreting it correctly

Skills on Resume: 

• Team Mentorship (Soft Skills)
• Data Strategy (Hard Skills)
• Data Governance (Hard Skills)
• Exploratory Analysis (Hard Skills)
• Data Modeling (Hard Skills)
• Data Quality (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Literacy (Soft Skills)

Job Summary: 

• Present key data-driven insight to the Senior Leadership Team, driven by recommended actions that will improve business performance
• Work with the Finance team to streamline processes and data collection
• Deliver accurate data sources for Sales and Revenue reporting needs by ensuring data integrity between different systems like the internal CRM system, Salesforce, and PA Invoicing systems
• Assist with the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions that are accessible and appropriate to the end audience
• Manage the reporting data source in PowerBI, building and maintaining easy-to-use reports and dashboards by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Set up bespoke reports/dashboards in PowerBI
• Effective leadership of the BA team, including training and reporting on KPIs
• Participate in strategic and tactical planning discussions, adding insights gained from the data and understanding of the business
• Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future
• Prepare insightful business reviews for the senior leadership team regarding progress and roadblocks

Skills on Resume: 

• Executive Reporting (Soft Skills)
• Data Integrity (Hard Skills)
• PowerBI Reporting (Hard Skills)
• Dashboard Design (Hard Skills)
• Revenue Analytics (Hard Skills)
• Financial Collaboration (Soft Skills)
• Team Leadership (Soft Skills)
• Strategic Insight (Soft Skills)

Job Summary: 

• Perform data analytics using SQL, Tableau and statistical models
• Build and maintain KPI’s for AR field hardware products to analyze hardware health
• Responsible for developing and executing tools to monitor and report on system performance
• Provide expertise and translate the business needs to design and develop tools, metrics and dashboards for insights and data visualization
• Conduct detailed data analysis on data used across the business to evaluate performance and to synthesize findings into key insights for partner teams for decision-making
• Develop analytical or executive summary Tableau dashboards for stakeholders based on the business needs
• Mentor junior analysts to be able to manage the entire project pipeline for the analytics team
• Evaluate the relevance of existing ML approach vs business needs, give recommendations
• Assess and re-engineer existing ML Solution - both logic and code aspects
• Work with Data analysis and Data quality aspects with the project team and the client’s technical stakeholders
• Evaluate data quality vs calculation algorithms and outcomes expected
• Closely cooperate with the client team 
• Act as a client team member
• Intensively contribute to the project's technical documentation

Skills on Resume: 

• SQL Analytics (Hard Skills)
• Tableau Dashboards (Hard Skills)
• KPI Development (Hard Skills)
• System Monitoring (Hard Skills)
• Statistical Modeling (Hard Skills)
• Machine Learning (Hard Skills)
• Data Quality (Hard Skills)
• Client Collaboration (Soft Skills)

Job Summary: 

• Oversee multiple segments of business reporting at Beauty Pie
• Design the reports, build the data models, ensure they are properly tested and robust and share them
• Work cross-functionally with Marketing, NPD, Strategy and Commercial, Operations, Product Engineering and Merchandising teams to ensure that each team has the information they need to make the best possible decisions
• Work with and onboard external data vendors to ensure data is accurate, consistent and useful
• Provide robust insight to the senior management to support strategic decision-making
• Support the design and tracking of A/B tests against top-line business objectives
• Oversee and contribute to the build and maintenance of dashboards and metrics in Tableau for self-service by stakeholders within the business
• Design, prototype, deliver and maintain reports in Power BI, using SQL and DAX
• Design, prototype, deliver and maintain models in tools like R/Python/AWS SageMaker, using data science toolkits like dplyr or ggplot2
• Find useful structured and unstructured data in the Data Warehouse and the Data Lake
• Suggesting and designing extensions that will improve capabilities
• Collaborate with product teams regularly to plan and prioritize requests, discuss requirements, and ensure delivery of successful business outcomes
• Provide meaningful commentary to help decision-makers act on findings

Skills on Resume: 

• Business Reporting (Hard Skills)
• Data Modeling (Hard Skills)
• Cross Functional (Soft Skills)
• A/B Testing (Hard Skills)
• Tableau Dashboards (Hard Skills)
• PowerBI Analytics (Hard Skills)
• Data Science (Hard Skills)
• Strategic Insight (Soft Skills)

Job Summary: 

• Lead and deliver analysis, validation, and verification to determine what data is required to support business needs, where it is created, read, updated, and deleted, and the quality criteria associated with it
• Work with business users and team members to understand the business requirements and design data architecture, solutions, and processes
• Support wider team problem-solving and analysis while balancing data, technology, business, and operational issues to identify and deliver viable solutions
• Delivery of customized reports and recommendations to support ongoing business decisions and customer reporting requirements
• Analyze large energy market data sets from multiple sources to enable business insights and data-driven decision making
• Lead the development and delivery of the critical data artifacts including data models (conceptual, logical, and physical)
• Ensure alignment of data artifacts through close working relationships with the business and operational stakeholders
• Discover, build and analyse a broad array of data inputs including survey data and public APIs
• Responsible for scoping and structuring programmes of work 
• Responsible for producing data-driven insights as part of policy projects that they will run 
• Build productive relationships with their stakeholders in tech and policy 
• Speak about their work at public events and in the media 
• Line manages senior policy analysts and/or policy analysts

Skills on Resume: 

• Data Architecture (Hard Skills)
• Data Modeling (Hard Skills)
• Business Analysis (Hard Skills)
• Data Validation (Hard Skills)
• Policy Analytics (Hard Skills)
• Stakeholder Management (Soft Skills)
• Program Leadership (Soft Skills)
• Public Communication (Soft Skills)

Job Summary: 

• Design, lead, and manage a data implementation strategy for all Use cases on the DHP
• Manage and maintain data assets in alignment with data management processes
• Ensure data governance and compliance through appropriate processes
• Participate in mapping business data sources to appropriate repositories of data
• Identify new critical data elements and metadata
• Coordinate and ensure the implementation of data asset management standards and policies in close collaboration with the providers of the data
• Establish and report metrics and KPIs around the volume, quality and usage of the data on the DHP
• Take accountability to ensure adherence to Security and Compliance policies and procedures within the Service Delivery scope
• Act as single-point-of-contact for all data questions around the DHP
• Accountable for data discrepancies and mitigation, data availability and consistency
• Drive compliance risk mitigations for regional data privacy and security
• Design the canonical data model in alignment with Novartis' data guidelines
• Participate in mapping business data needs to appropriate sources of data
• Provide guidance and coordinate/resolve data issues
• Collaborate with internal data governance teams and ensure the implementation of data governance and data asset management standards and policies

Skills on Resume: 

• Data Strategy (Hard Skills)
• Data Governance (Hard Skills)
• Data Asset (Hard Skills)
• Data Compliance (Hard Skills)
• Data Modeling (Hard Skills)
• KPI Management (Hard Skills)
• Stakeholder Coordination (Soft Skills)
• Risk Management (Soft Skills)

Job Summary: 

• Provide strategic business analysis support to the Senior Business Analyst and the wider teams across SC&L
• Working closely to gain an in-depth understanding of the strategy, processes, services, road map and the context in which SC&L operates to ensure alignment with systems and data
• Improve and streamline processes to assist SC&L in meeting its objectives
• Liaise with colleagues within SC&L to ensure the Programme Configuration library is kept up to date
• Take responsibility for delivering expected outcomes on time and to standard, giving credit to teams and individuals 
• Demonstrate up-to-date expertise in data and information systems and apply this to the development, execution and improvement of action plans by providing advice and guidance to others in the application of information and best practices
• Regularly monitor own and the team's work against milestones or targets and act promptly to keep work on track and maintain performance
• Identify opportunities to improve efficiency, including leading on small projects as well as assisting others on larger, more complex projects related to SC&L

Skills on Resume: 

• Business Analysis (Hard Skills)
• Process Improvement (Hard Skills)
• Strategic Alignment (Soft Skills)
• Systems Knowledge (Hard Skills)
• Project Delivery (Soft Skills)
• Performance Management (Soft Skills)
• Stakeholder Liaison (Soft Skills)
• Continuous Improvement (Soft Skills)

Job Summary: 

• Participate in multiple projects by completing and updating project documentation
• Creating and maintaining project schedules by developing project plans and specifications
• Estimating time and resources, monitoring milestone completion, and tracking all phases of the project life cycle
• Providing timely reporting of issues that impact project progress, coordinating actions and resolving conflicts)
• Managing project scope (including cost-benefit analysis)
• Adjusting schedules, determining daily priorities, ensuring efficient and on-time delivery of project tasks and milestones
• Following proper escalation paths
• Managing customer and supplier relationships and developing a communication process to keep others up-to-date on project results

Skills on Resume: 

• Project Documentation (Hard Skills)
• Project Planning (Hard Skills)
• Schedule Management (Hard Skills)
• Resource Estimation (Hard Skills)
• Risk Reporting (Soft Skills)
• Scope Management (Hard Skills)
• Priority Management (Soft Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Understanding business requirements and translating them into executable steps for the team members
• Collaborate with product managers and suggest appropriate solutions for analytics deliverables
• Deep understanding of different data sources and using the best of them for the use cases
• Optimize code for maximum efficiency and review the team’s code to identify bugs and logical gaps
• Build reusable code and libraries for future use
• Review the team’s deliverables before sending final reports to stakeholders
• Get feedback and build solutions for users and customers
• Synthesize both quantitative and qualitative data into insights that deepen understanding of product performance and user behavior
• Support cross-functional teams with data reports and insights on data
• Stay up to date on emerging technologies and skills

Skills on Resume: 

• Requirements Translation (Hard Skills)
• Product Analytics (Hard Skills)
• Data Sourcing (Hard Skills)
• Code Optimization (Hard Skills)
• Reusable Coding (Hard Skills)
• Insight Synthesis (Hard Skills)
• Stakeholder Feedback (Soft Skills)
• Cross Functional (Soft Skills)

Job Summary: 

• Coach and train the analysts in the team
• Identify work items that will help the analysts work better and faster
• Act as a role model for the team to embody data-driven decision-making
• Working closely with different business areas to help them understand Tide’s customers better and make better decisions
• Drive a culture of learning by helping to set up experiments and evaluate them
• Write SQL statements as part of the analytics team to help surface data that they have not seen before
• Interact and guide the business to formulate its analysis requirements
• Design a solution to fulfill these requirements
• Migrate remaining SAS scripts and reports to the new AWS data platform
• Develop and implement a data training program and data communities to foster a data culture across the business units
• Establish business cases to initiate new data transformation initiatives and convince stakeholders to provide support
• Identify and evaluate the right partner to implement the initiative and supervise the partner during implementation
• Drive cultural change about data at all levels, including executives, managers, and employees

Skills on Resume: 

• Team Coaching (Soft Skills)
• Data Leadership (Soft Skills)
• SQL Analytics (Hard Skills)
• Requirements Design (Hard Skills)
• Data Migration (Hard Skills)
• AWS Platform (Hard Skills)
• Experimentation Design (Hard Skills)
• Change Management (Soft Skills)

Job Summary: 

• Work with fermentation operator(s) to prepare and run fermentation samples for analysis (HPLC, gas chromatography, etc.)
• Establish a data pipeline for automated and dynamic analysis, visualization, and reporting of fermentation data
• Develop new in-house tools or implement existing fermentation analysis tools
• Establish QC guidelines for fermentation runs
• Report on these guidelines in a systematic way, and work with operators to ensure that QC guidelines are met
• Working with stakeholders to develop SOPs that support meeting QC guidelines
• Work with leadership to establish QI strategies and timelines
• Implement these strategies with operator(s) and report on implementation
• Work with engineers to evangelize data best practices and implement data analytics solutions
• Conduct data analysis and generate actionable insights and make recommendations for improving, developing and launching products
• Communicate key results with self-serve tools (dashboards, analytics tools) for product teams and key stakeholders
• Develop and automate reporting of key performance indicators of various Kraken’s products and services at scale, solving for business priorities
• Partner with product managers to design experiments to test hypotheses and help with idea generation and refinement
• Collaborate with engineering teams and stakeholders to build key datasets and data pipelines using Python/ETL frameworks

Skills on Resume: 

• Fermentation Analytics (Hard Skills)
• Data Pipelines (Hard Skills)
• Quality Control (Hard Skills)
• Process Optimization (Hard Skills)
• Python ETL (Hard Skills)
• Dashboard Reporting (Hard Skills)
• Experimental Design (Hard Skills)
• Stakeholder Collaboration (Soft Skills)

Job Summary: 

• Develop, implement and manage fraud prevention strategies for all payment activity in partnership with IT, marketing, and legal
• Create and execute systematic processes for handling payment fraud
• Leverage multiple, large data sources to research and create detailed dashboards related to ecommerce, online and retail fraud
• Using analytical techniques, identify new and emerging patterns of fraud and make recommendations for new operational controls and improved monitoring
• Quantify and forecast the cost of fraud on the corporate and restaurant level
• Serve as Subject Matter Expert for industry fraud and chargeback rules and regulations
• Stay aware of the continually evolving fraud trends, best practices and available tools to optimize and identify fraudulent activity
• Understand Chick-fil-A's risk standards and procedures
• Strong understanding of Chick-fil-A's payment acceptance options and technologies
• Act as a point of contact for staff members, vendors and banking partners regarding payment fraud
• Partner across the business (IT, Security, Customer Experience, etc) to research, develop and test new fraud detection rules
• Partner with Restaurant Cash Management Accountants to research and gather supporting evidence against open chargebacks and disputes

Skills on Resume: 

• Fraud Prevention (Hard Skills)
• Fraud Analytics (Hard Skills)
• Risk Assessment (Hard Skills)
• Dashboard Reporting (Hard Skills)
• Regulatory Knowledge (Hard Skills)
• Cost Forecasting (Hard Skills)
• Stakeholder Partnership (Soft Skills)
• Subject Expertise (Soft Skills)

Job Summary: 

• Work along with cross-functional teams vis-à-vis marketing, operations, sales, etc., to assess data needs, propose analytical solutions to provide practical, value-added answers to the stakeholders
• Recommend analytical techniques appropriate for targeting and segmenting markets, product design, and marketing optimization
• Support in analysing and forecasting demand, optimizing unit economics and geographic/territory targeting
• Translate business objectives into data and analytics solutions using appropriate methodologies
• Support and expand the use of market research and modelling tools
• Build a holistic understanding of product, customers, data, and business goals to create and deliver an analytics and data roadmap
• Analyze and deliver insights and recommendations utilizing complex, large volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques
• Understand business drivers and performance trends, as well as answer product and business questions to drive product actions
• Leverage industry best practices in establishing repeatable Business Intelligence capabilities and experiences
• Proactively foster and drive a data-driven analytics culture
• Look for new opportunities to leverage data assets in innovative ways

Skills on Resume: 

• Market Analytics (Hard Skills)
• Demand Forecasting (Hard Skills)
• Business Translation (Hard Skills)
• Advanced Modeling (Hard Skills)
• Data Roadmap (Hard Skills)
• Business Intelligence (Hard Skills)
• Cross Functional (Soft Skills)
• Data Culture (Soft Skills)

Job Summary: 

• Design, model and prepare large data sets for advanced analyses and visualizations
• Perform statistical analyses, develop new performance metrics, benchmarks, and indices
• Research, interpret and perform quantitative and qualitative analysis against HR and people data
• Collaborate in multi-disciplinary self-directed teams to design leading visualizations and embedded analytics for a SaaS platform
• Analyze client information needs and business challenges to determine how they may be addressed through the delivery of customized decision support tools and services
• Work directly with customers, sales and customer success leaders
• Develop and document new data models, ERDs, schemas, and data workflows
• Validate and quality control the produced data sets
• Apply understanding of global and/or local trends and events (e.g., economics, social issues) to assist with the formulation of hypotheses and interpretation of data

Skills on Resume: 

• Data Modeling (Hard Skills)
• Statistical Analysis (Hard Skills)
• People Analytics (Hard Skills)
• Data Visualization (Hard Skills)
• Decision Support (Hard Skills)
• Data Quality (Hard Skills)
• Client Collaboration (Soft Skills)
• Analytical Thinking (Soft Skills)

Job Summary: 

• Design data systems that will scale the service teams across the business
• Develop process improvement opportunities
• Manipulate large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions
• Design data modelling to create algorithms and predictive models and perform customer analysis
• Run regular product feature reports and build KPI dashboards
• Producing mailing sections for product and servicing customer campaigns
• Solve high-tech FinTech client problems using data and automated workflows
• Build API’s and data pipelines that can work at scale
• Assisting Finance, Operations and Marketing in ad hoc reporting requirements
• Work closely with product and operations to identify issues and use data to propose solutions for effective decision-making
• Use statistical techniques and/or machine learning tools to produce solutions to problems
• Create clear reports that tell compelling stories about how customers or clients work with the business
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods

Skills on Resume: 

• Data Systems (Hard Skills)
• Process Improvement (Hard Skills)
• Predictive Modeling (Hard Skills)
• KPI Dashboards (Hard Skills)
• Data Pipelines (Hard Skills)
• Machine Learning (Hard Skills)
• Strategic ProblemSolving (Soft Skills)
• Data Storytelling (Soft Skills)

Job Summary: 

• Use expert knowledge of data in data lake and reporting databases to evaluate business opportunities, size projects, conduct analysis and prototype data solutions 
• Oversee the end-to-end process of defining and publishing
• Getting agreement from partner validation, documentation, standardization across the organization and driving automation
• Increase the use of data solutions by educating users and developing user-friendly documentation
• Conduct exploratory data analysis and hypothesis-driven deep dives into consumer behaviour and subscription data to uncover opportunities through unique insights to improve consumer experience and monetization
• Analyze A/B testing data to help find winners
• Guide new ideas for testing and promote the use of A/B testing as a tool for decision-making
• Combine business and technical knowledge to improve value from data using a variety of methodologies, like descriptive and predictive analytics, statistics, experimentation, and business intelligence
• Lead innovation by applying to develop tools and solutions
• Visualise end-to-end analytics stacks from data collection, clean-up, storage, processing, and visualization
• Participate in the development Business Platform and systems to improve cost and customer value
• Read and understand algorithms and other techniques from academic papers
• Oversee the progress of the development team to ensure consistency with the initial design
• Report to the Engineering Manager

Skills on Resume: 

• Data Lake (Hard Skills)
• Exploratory Analysis (Hard Skills)
• A/B Testing (Hard Skills)
• Predictive Analytics (Hard Skills)
• Business Intelligence (Hard Skills)
• Analytics Architecture (Hard Skills)
• User Enablement (Soft Skills)
• Technical Leadership (Soft Skills)

Job Summary: 

• Manage projects to develop new repeatable tools for the Quantitative Analytics group
• Collaborate with auditors to design analytics solutions, starting from business requirements to the implementation of new dashboards in QlikView
• Partner with technology teams and data scientists on innovative new techniques such as NLP, Elastic Search, and network graph analytics
• Understand data models and implement analytics solutions that require the sourcing, processing, and reporting of disparate data sources
• Partner with clients within the Internal Audit team to provide data-driven insights to audit activities
• Define key metrics used to measure the success of consumer banking experiences and products
• Build a deeper understanding of members' needs and strategic product and business opportunities
• Partner with product, engineering and operations to translate data insights into product features or recommendations to improve operations
• Lead experimentation by providing guidance on the experiments that should be run, how they should be run, and evaluating the impact on key metrics

Skills on Resume: 

• Project Management (Soft Skills)
• Audit Analytics (Hard Skills)
• Dashboard Development (Hard Skills)
• Advanced Analytics (Hard Skills)
• Data Integration (Hard Skills)
• Metric Definition (Hard Skills)
• Product Insights (Hard Skills)
• Experiment Leadership (Soft Skills)

Job Summary: 

• Collaborate and communicate with stakeholders across the organisation to understand reporting and data requirements
• Ensure that the data services and insights delivered by the team fulfill their requirements
• Assist in the embracing and promotion of the BI strategy and provide visibility to stakeholders so that data becomes central to decisions made on change initiatives
• Develop strategies for effective data analysis and reporting to drive high performance and quality
• Oversee analytics operations to correct discrepancies and ensure quality
• Together with the other Data Analysts, build systems to transform raw data into actionable business insights
• Work closely with the rest of the BI team to ensure high-quality data is delivered
• Build and take ownership of data analytics and operational insights at Catena Media
• Collaborate with the rest of the BI team to ensure data analysis projects that deliver the highest business value are prioritized
• Assist with ad-hoc data analysis, deep dives, data visualizations and statistical modelling
• Aid in defining business KPIs for the various business units
• Support and mentor junior members of the analytics team to help them grow and drive a data-informed culture
• Build relationships by encouraging cooperation between the analytics team and stakeholders
• Ensure that the team is delivering key findings to members of the business through presentations or automated dashboards that result in actions and improved decision-making

Skills on Resume: 

• Stakeholder Collaboration (Soft Skills)
• Business Intelligence (Hard Skills)
• Data Strategy (Hard Skills)
• Analytics Operations (Hard Skills)
• Data Quality (Hard Skills)
• KPI Definition (Hard Skills)
• Data Visualization (Hard Skills)
• Team Mentorship (Soft Skills)

Job Summary: 

• Act as the project advocate and primary point of contact for client management (issues and enquiries) and escalation
• Collaborate with business process leads to gather the business requirements, documenting the findings and decisions within acceptable standards and templates
• Translate requirements and work with the development team on the execution and implementation during projects
• Communicate requirements to development teams and business process leads and manage updates to the required documentation
• Develop project definition documents, including scope, schedule, work plan, resource requirements, approach, requirements, budget forecasts, schedules, risk registers, and benefits realization estimates
• Help ensure traceability from business requirements through user acceptance testing as well as interface with the testing team and help prepare for testing
• Report project status and participate in project review meetings
• Collaborate with the Technical Lead and development team, facilitate team meetings, ensure follow-up with all stakeholders and update project documents
• Manage/support project activities, output deliveries and maintain the quality and integrity of project deliverables
• Coordinate ad-hoc project tasks to deliver results in a timely and effective manner

Skills on Resume: 

• Client Advocacy (Soft Skills)
• Requirements Management (Hard Skills)
• Project Documentation (Hard Skills)
• Development Coordination (Soft Skills)
• Scope Management (Hard Skills)
• Testing Traceability (Hard Skills)
• Status Reporting (Soft Skills)
• Delivery Management (Soft Skills)

Job Summary: 

• Perform an enablement role to facilitate data scientists in locating, understanding and selecting the appropriate DST data
• Model and design operational data stores, data warehouses and data marts that support analytics
• Provide data integration and design expertise that will lead to the appropriate linking and integration of data from different source systems
• Understand and translate business and data requirements into logical and physical data models in support of OLTP, Operational Data Stores, data warehouses and data marts
• Create and maintain excellent data documentation that allows the data to be understood and leveraged for additional use
• Ensure that data designs follow architectural directions
• Facilitate data integration, data conformity and data integrity
• Ensure data structures are designed for flexibility to support future business needs and enhancements
• Consult with business and technical associates to facilitate the understanding and use of existing data and ensure that existing data is reused 

Skills on Resume: 

• Data Enablement (Soft Skills)
• Data Modeling (Hard Skills)
• Data Integration (Hard Skills)
• Data Warehousing (Hard Skills)
• Requirements Translation (Hard Skills)
• Data Documentation (Hard Skills)
• Data Architecture (Hard Skills)
• Stakeholder Consulting (Soft Skills)

Job Summary: 

• Providing innovative analytical insights relating to Council data
• Providing data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Developing and enhancing the Council's online data presence
• Exploring a wide set of opportunities to innovate
• Evaluating options, impacts, risks and solutions to provide clear problem definitions and inspire exploitation of new data, technology and tools
• Identifying areas of work that stand to be improved through the use of statistical modelling techniques
• Ensuring sound working practices which lead to robust, replicable and resilient outputs
• Ensuring remains in step with fast-developing standards and best practices in the Data Science field

Skills on Resume: 

• Analytical Innovation (Hard Skills)
• Self-Service (Hard Skills)
• Data Solutions (Hard Skills)
• Statistical Modeling (Hard Skills)
• Risk Evaluation (Hard Skills)
• Data Governance (Hard Skills)
• Problem Definition (Soft Skills)
• Continuous Learning (Soft Skills)

Job Summary: 

• Provide high-quality data management and efficient outcomes from given metrics
• Deep dive into SLAs to identify hypotheses and assess improvements for key metrics
• Work closely with Product Management and engineering to ensure effective delivery and support of products
• Lead and develop data specifications to track, assess, and evaluate product KPIs
• Work with engineering scrum teams to make sure delivery is on point
• Design Dashboard and Reports for CoreStack
• Lead the analytics team, which manages all the analytics activities
• Develop Data transformation pipelines and reports

Skills on Resume: 

• Data Management (Hard Skills)
• SLA Analysis (Hard Skills)
• Product Analytics (Hard Skills)
• KPI Definition (Hard Skills)
• Dashboard Design (Hard Skills)
• Data Pipelines (Hard Skills)
• Agile Collaboration (Soft Skills)
• Team Leadership (Soft Skills)

Job Summary: 

• Drive business decisions and ensure continuous improvements, using analytical and statistical methods to identify operational weaknesses and innovate new processes for local teams
• Determine the structure and design of the front-end parts (i.e., dashboards and data visualizations) of the assigned data product
• Develop, test and maintain the visual and interactive components of the data product’s user interfaces
• Collect, clean, and structure the right data from different sources for modelling purposes
• Advance Nike’s Supply Chain analytics maturity to move beyond descriptive analytics into predictive, prescriptive and fully automated/algorithmic capabilities
• Collaborate with key partners/stakeholders to get detailed functional requirements for development teams to incorporate in technical builds
• Aid in developing MVPs, proof of concepts for analytical solutions for development teams to scale to the enterprise level
• Assist with the implementation of new decision support solutions that help the business leverage/operationalize analytical insights
• Assist in executing large cross-functional special projects and other team deliverables
• Aid in drafting / proofing research and delivering presentations and facilitating collaborative work sessions, workshops, and trainings

Skills on Resume: 

• Operational Analytics (Hard Skills)
• Dashboard Design (Hard Skills)
• Data Preparation (Hard Skills)
• Predictive Analytics (Hard Skills)
• Decision Support (Hard Skills)
• MVP Development (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Facilitation (Soft Skills)

Job Summary: 

• Guide partnership closely with finance stakeholders to identify and unlock opportunities to better forecast and report on business performance
• Manage forecasting, Lifetime Value (LTV), and ARPU modeling and development in collaboration with Data Science and Finance teams
• Build forecasting tools and automate reports/ dashboards that provide insights into business measurement and effectiveness
• Analyze subscriber and behavior data to identify patterns, uncover opportunities, and create a common understanding of how people are interacting with the platform and content
• Analyze and report key data quality health KPIs through regular metric monitoring and revise as the number of datasets and critical systems expands
• Provide ongoing reporting and analysis to inform and support business, product and marketing decisions
• Understand the systems and business processes that populate critical systems with data
• Work with stakeholders to outline and define data definitions and apply appropriate usage
• Create, deliver and continuously improve business measurement solutions
• Translate complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations
• Build intuitive presentations, interfaces, infographics and visualizations to tell stories with data

Skills on Resume: 

• Financial Forecasting (Hard Skills)
• LTV Modeling (Hard Skills)
• Automated Reporting (Hard Skills)
• Behavior Analysis (Hard Skills)
• Data Quality (Hard Skills)
• Business Measurement (Hard Skills)
• Stakeholder Partnership (Soft Skills)
• Data Storytelling (Soft Skills)

Job Summary: 

• Build data models, data visualizations and automated analytics that operationalize insights across the business
• Create, deliver and continuously improve business measurement solutions
• Partner closely with business stakeholders to identify and unlock opportunities
• Be the primary partner for cross-functional stakeholders to define and understand key enterprise KPIs and business metrics
• Use internal and external analytics tools and scripting languages to access and analyze multivariate data
• Translate complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations
• Translate business requirements into technical specifications and explain complex analysis simply through informative and well-organized presentations that contribute to overall business goals
• Drive the development of prioritized analytics solutions including problem definition, solution design and execution
• Build intuitive presentations, interfaces, infographics and visualizations to create a data-driven narrative in partnership with Strategic Planning and Marketing stakeholders
• Provide ongoing reporting and analysis to inform and support business, product and marketing decisions
• Provide technical mentorship and career development to supporting team members and work to retain top talent by building career paths and nurturing growth

Skills on Resume: 

• Data Modeling (Hard Skills)
• Automated Analytics (Hard Skills)
• Business Measurement (Hard Skills)
• KPI Definition (Hard Skills)
• Technical Translation (Hard Skills)
• Data Visualization (Hard Skills)
• Stakeholder Partnership (Soft Skills)
• Team Mentorship (Soft Skills)

Job Summary: 

• Main point of contact for the APAC region, while supporting the International Analytics team’s other regional initiatives (EMEA, LATAM, US/CA)
• Partner with analytics stakeholders to provide ongoing reporting and analysis of business KPIs/metrics to inform and support the region's business, product, and marketing decisions
• Understand and contribute to regional points of view on core business logic used to measure trends across Disney Streaming’s services (Disney+, Hulu, ESPN+, Star+)
• Create presentations with analysis and insights for both technical and non-technical audiences
• Create and review operational dashboards to facilitate data self-service for stakeholders and educate end users on how to interpret data
• Partner with internal teams to improve processes and standardize best practices (such as data modeling, documentation, automation)
• Perform deep-dive data analyses to better understand growth trends and business performance across regions, products and partners
• Producing governance metrics and supplying Management Information
• Applying mathematical techniques and data analytics to interpret and advise on capability strategies and plans
• Developing, delivering, and maintaining the material and systems required to support capability activities
• Coordinating business intelligence gathering, interpretation and metric reporting on a breadth of linked data sets
• Actively participating in capability management work streams and projects to ensure effective communication
• Organising and managing capability plans and updates to support business drivers

Skills on Resume: 

• Regional Analytics (Hard Skills)
• KPI Reporting (Hard Skills)
• Data Governance (Hard Skills)
• Dashboard Management (Hard Skills)
• Deep Dive Analysis (Hard Skills)
• Business Intelligence (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Capability Planning (Soft Skills)