Job Summary:

• Acquire, organize, cleanse, and database data for deployment in advanced analytical models
• Work collaboratively within AAI and with stakeholders in other departments
• Prepare visualizations, reports, and presentations
• Maintain models and data connections
• Work with complex and large global data sets
• Apply advanced analytical methods to solve difficult and non-routine business problems
• Assist Data Scientists in building machine learning models
• Gather data from multiple sources and extract business insights
• Work closely with cross-function teams to achieve end-to-end data driven solutions
• Data visualization using different reporting software, such as Tableau and Qlik

Skills on Resume:

• Data Acquisition (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Visualization (Hard Skills)
• Model Maintenance (Hard Skills)
• Large Data Sets (Hard Skills)
• Analytical Methods (Hard Skills)
• Machine Learning Support (Hard Skills)
• Business Insights (Soft Skills)

Job Summary:

• Use data analytics techniques moving Symetra to become a more data driven company
• Understand business goals and communicate results to a non-technical audience
• Be a subject matter expert on data cleansing and preparation
• Work with IT and engineering team to support product deployments
• Run data science projects from defining the problem to model deployment
• Review and recommend emerging technologies and data science techniques
• Document, organize, and communicate thoughts and ideas effectively
• Present of MI, analysis and Insight to support decision making
• Research and innovate new data science technique
• Review alternative pricing initiatives based on LTV and current trading performance
• Investigate and drive forward market leading analytical, monitoring and interaction capabilities
• Be prepared to work within interdisciplinary teams a cross RAC to further data science and analytical capabilities

Skills on Resume:

• Data Analytics (Hard Skills)
• Business Communication (Soft Skills)
• Data Preparation (Hard Skills)
• Product Deployment (Hard Skills)
• Project Management (Soft Skills)
• Technology Review (Hard Skills)
• Insight Presentation (Soft Skills)
• Data Innovation (Hard Skills)

Job Summary:

• Design, implement and optimize machine learning and AI models
• Design, implement, and manage robust data pipelines
• Build statistical & data science models to uncover insights from data and generate actionable insights
• Lead strategic initiatives end-to-end, beginning with the ideation phase and through to implementation into production, and maintenance once in production
• Communicate key technical insights and opportunities to cross-functional audiences
• Analysing trends and creating insights to promote smart decision-making towards improving products and business decisions. 
• Building a Data Science Framework designed to handle large volume data sets 
• Communicating insights and findings in a simplified manner. 
• Assessing the effectiveness and accuracy of new data sources and gathering techniques and providing timely communications on significant issues and developments.  
• Developing customised data models and algorithms to apply to data sets.  
• Working with cross-functional teams to assess data science use cases. 
• Screen and implement emerging prop tech and data science platforms relevant to commercial real estate

Skills on Resume:

• Machine Learning (Hard Skills)
• Data Pipelines (Hard Skills)
• Statistical Models (Hard Skills)
• Initiative Leadership (Soft Skills)
• Technical Insights (Soft Skills)
• Data Analysis (Hard Skills)
• Data Frameworks (Hard Skills)
• Tech Implementation (Hard Skills)

Job Summary:

• Develop and evolve measurement products at scale for external/internal partners
• Understand current metrics and introduce new metrics to derive insights and recommendations for upcoming campaigns
• Responsible for the extraction and analysis of complex information from a variety of databases
• Identifying data needs and explaining the importance and use of data pertaining to measurement
• Apply statistical techniques (i.e. z-statistic, P-value, anomaly reduction, etc.) to drive fact based decision making within marketing and external stakeholder groups
• Extract, review and prepare sales and customer behavior data for analysis, reporting using SQL
• Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
• Familiarity with google data studio and media metrics available
• Identifying data issues and solutions to remedy gaps
• Work with partners to extract, transform, and load data from an extremely wide range of data sources into staging datasets and ultimately into visualization tools

Skills on Resume:

• Measurement Products (Hard Skills)
• Metrics Development (Hard Skills)
• Data Extraction (Hard Skills)
• Data Insights (Soft Skills)
• Statistical Analysis (Hard Skills)
• SQL Reporting (Hard Skills)
• Quality Assurance (Soft Skills)
• Data Visualization (Hard Skills)

Job Summary:

• Cleaning and validating the data to ensure accuracy, completeness and uniformity
• Flag new data via external partner, internal partners or ad-hoc asks
• Consolidate and normalize data from various system (production and reporting)
• Working with log level data from platforms (i.e. The Trade Desk, Google Ads Data Hub, etc.) to augment and evolve measurement offerings
• Create stimulating visualizations to drive proof points to business partners
• Optimize performance of dashboards and/or develop new dashboards
• Present and communicate findings and business impacts to internal and external clients and management via dashboards/presentation decks
• Actively identify and execute initiatives to improve process and data infrastructure.
• Act as gatekeeper with regards to security and confidentiality of data obtained through all sources. 
• Strictly adhere to legal and compliance guidelines, regarding access and exposure to sensitive and confidential information.

Skills on Resume:

• Data Validation (Hard Skills)
• Data Consolidation (Hard Skills)
• Log Level Data (Hard Skills)
• Data Visualization (Hard Skills)
• Dashboard Optimization (Hard Skills)
• Findings Presentation (Soft Skills)
• Process Improvement (Soft Skills)
• Data Security (Hard Skills)

Job Summary:

• Be end-to-end responsible for multiple Data Science projects. 
• Deploy/Automate Predictive/Optimization models or workloads
• Be responsible for project pipelines/model documentation and maintenance.
• Gathering unstructured data through web-scraping and other sources.
• Support business partners to make more self-sufficient decisions by leading the data science initiatives and automation as well as providing consulting services as a trusted advisor.
• Translating business requests and questions into an order of operations. 
• Analyze data to help determine insights to solve business problems and identify new opportunities.
• Build statistical, descriptive and predictive models to support experimentation that are easily understood and replicated.
• Conduct statistical analysis and hypothesis testing to improve forecasting, targeting and performance measurement.
• Design and build interactive and static data visualizations to provide insights and enable strategic business decisions.
• Support the development and operations of data products working collaboratively with Product, Sales, Marketing and Operations groups, on cross functional outcomes.

Skills on Resume:

• Data Science Projects (Hard Skills)
• Model Automation (Hard Skills)
• Project Documentation (Hard Skills)
• Data Gathering (Hard Skills)
• Data Consulting (Soft Skills)
• Business Translation (Soft Skills)
• Statistical Modeling (Hard Skills)
• Data Visualization (Hard Skills)

Job Summary:

• Develop and tune models for transaction monitoring, sanctions filtering, and customer risk rating.
• Complete pre-implementation requirements including model methodology documentation and impact analysis per FCC’s model governance documentation.
• Create effective management reporting and support ad hoc analytics requests relating to transaction monitoring, sanctions filtering and customer risk rating systems
• Use data analytics, machine learning, and/or process automation to improve the efficiency and/or effectiveness of FCC’s transaction monitoring system.
• Develop dashboards to enhance analysis and reporting related to workload, system performance, and tuning/validation processes.
• Multi-task across several ongoing projects and daily duties of varying priorities 
• Ability to make good judgments, decisions, negotiate and problem solve
• Ensures standards and best practices used in development are followed and maintained

Skills on Resume:

• Model Development (Hard Skills)
• Impact Analysis (Hard Skills)
• Management Reporting (Soft Skills)
• Data Analytics (Hard Skills)
• Dashboard Development (Hard Skills)
• Project Management (Soft Skills)
• Decision Making (Soft Skills)
• Best Practices (Soft Skills)

Job Summary:

• Operates as an internal consultant, finding solutions to the most critical organizational challenges in a fast-paced healthcare environment, leading to improved patient outcomes and performance for business partners. 
• Successfully guide Data Science projects from concept to completion as a combination of Data Science subject matter expert, project manager, and business analyst.
• Perform Research and Development to generate new products and/or ways to use data to improve patient outcomes.
• Translate identified business challenges or opportunities into actionable project efforts with defined scope and goals.
• Create visual concepts/mockups that foster a shared understanding of business challenges or opportunities.
• Coalescing stakeholders toward reasonable project objectives that address the most pressing challenges of business.
• Collaborate and coordinate with clinical, business, IT and engineering partners in the design and development of products that address key business challenges using internal and/or external data.
• Effectively communicate the practical nature of the results of various analyses to business stakeholders using illustrations and practical language.
• Pilot a proposed solution to demonstrate its effectiveness and/or suggest improvements.
• Create reports documenting key findings, observations, outcomes, and/or recommendations clearly.
• Develop, document and maintain code in a clear and reproducible manner.

Skills on Resume:

• Internal Consulting (Soft Skills)
• Data Science Projects (Hard Skills)
• Research Development (Hard Skills)
• Business Translation (Soft Skills)
• Visual Mockups (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Solution Pilot (Hard Skills)
• Code Documentation (Hard Skills)

Job Summary:

• Support a client’s requirements in a challenging, dynamic setting 
• Constructing scripts and configuration controls to facilitate analysts performing repeatable complex database queries in multiple databases. 
• Creating automated-scripting to assist analysts with data discovery. 
• Work both independently and collaboratively with teams to create solutions in support of the customer.
• Enable smarter business processes and implement analytics for meaningful insights into sales data
• Work with business and technical teams, to implement new data processing methodologies as needed to support strategic business decisions.
• Collaborate with Sales, Finance and IT functions to understand company needs and devise possible solutions to optimize business-based data analysis.
• Optimize joint development efforts through appropriate database use and project design.
• Work with predictive analytics to assess trends and patterns to optimize poly business and interpret data with a clear objective in mind.

Skills on Resume:

• Client Support (Soft Skills)
• Script Development (Hard Skills)
• Automated Scripting (Hard Skills)
• Team Collaboration (Soft Skills)
• Business Process Optimization (Soft Skills)
• Data Processing (Hard Skills)
• Cross-Functional Solutions (Soft Skills)
• Predictive Analytics (Hard Skills)