Job Summary:

• Run test analysis and reports of sell-out data for UK and Canada using sample data to check the impact of store-level implementation
• Support internal sell-in, P&L by KA level analysis
• Use BI tools (Power BI + Tableau) to gauge trends based on store implementation, calculate uplifts and success of planograms
• Build comparative models to measure before and after performance of Country, Brands, SKUs and PoCs
• Responsible to track and monitor the space of the Beer Category of the markets
• Build and replicate analytical models for the global team, which will help them in decision making including Check, Enhance, ma maintain Python codes for the model which runs Test vs. Control Strategy
• Monitor Sell out/Syndicated Data for the UK and Canada Market by analysing and preparing monthly/weekly reports (where applicable) including KA trends for the category across KPIs like growth, market share, share of space, assortment list to measure performance in executed stores.
• Monitor Sell In/ Internal Data for SA/UK/Canada by analysing and preparing weekly P&L by KA per country.
• Analyse promotion & sales data to prepare a Hit list for SKUs
• Add features on top of the model to create a robust algorithm
• Run test analysis using sample data to check the impact of running Planograms and in-store execution
• Monitor the success of existing Planograms and give data-driven insights for continuous improvement
• Setting framework for analysis based on Business Objective, thorough with Business-level presentations
• Exploratory studies for opportunity identification

Skills on Resume: 

• Test Analysis (Hard Skills)
• Report Preparation (Hard Skills)
• Power BI (Hard Skills)
• Tableau (Hard Skills)
• Python Coding (Hard Skills)
• Data Modeling (Hard Skills)
• Business Presentation (Soft Skills)
• Opportunity Identification (Soft Skills)

Job Summary:

• Recommend and present new processes for continuous improvement to senior leadership teams by designing, producing, and analyzing monthly logistics and supply chain metrics
• Develop reports to support the business
• Compose data entry and spreadsheets on Key Performance Indicators (KPI) to support processes in Inventory, Service Order Management and Production as described below.
• Analysis of fill rates, cycle counts, inventory turns, excess and obsolete inventory, location ties, and production schedules
• Manage AX/HJ Discrepancies and Root Cause Problems
• Manage and optimize forward pick locations in High Jump
• Communicate risks related to inventory and supply plans in terms of lead time, monthly averages, and capacity constraints for products
• Work with the inventory group to optimize slotting/heat mapping
• Conduct quarterly aged inventory reviews
• Identify bottlenecks in the process using AX stage change data.
• Red tote in/out consolidation analysis
• Turn Time analytics, customer door-to-door, time in-house
• FedEx shipping times and surcharge analysis
• Repair volume analysis, volume by customer, and common failures
• Tool routings analysis by product time studies
• Cost of second-time returns
• Chargeable vs non-chargeable repairs
• Replacement tool analysis by tool group, employee

Skills on Resume: 

• Process Improvement (Soft Skills)
• Data Analysis (Hard Skills)
• Report Development (Hard Skills)
• Inventory Management (Hard Skills)
• Root Cause (Hard Skills)
• Risk Communication (Soft Skills)
• Slotting Optimization (Hard Skills)
• Time Analytics (Hard Skills)

Job Summary:

• Identify and select usable datasets for projects. 
• Manage and clean datasets using an extraction and reporting programming language to ensure data integrity, and apply methods to validate data to ensure high-quality results.
• In consultation with project managers, assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.
• Help create written reports for applicable agencies, researchers, management and other internal end-users and provide interpretation of data
• Assist in preparing presentations for stakeholders.
• Research and reconcile data discrepancies occurring among various information systems and reports.
• Collaborate with project managers to define and implement data standards and common data elements for data collection.
• Read and summarize relevant literature on statistical methods related to a project.
• Maintaining the BI data warehouse model that contains the single source of truth for the business and is widely used by all analysts. 
• Monitoring data quality and expanding the content of the data warehouse is a key aspect of the role.
• Responsible for maintaining relationships with data engineers to ensure primary and secondary data is obtained and correct.
• Support international analysts and data chefs to help locate and correctly use the data.
• Help with data projects that expand the business understanding of customers, partners and trade performance.

Skills on Resume: 

• Data Selection (Hard Skills)
• Data Cleaning (Hard Skills)
• Querying Databases (Hard Skills)
• Report Writing (Soft Skills)
• Presentation Preparation (Soft Skills)
• Data Reconciliation (Hard Skills)
• Collaboration Skills (Soft Skills)
• Data Warehousing (Hard Skills)

Job Summary:

• Providing advice, assistance, guidance, research, and technical support in support of the government customer and the program’s mission. 
• Serves as the gatekeeper for the program's data so stakeholders can understand and make strategic business decisions.
• Working independently with direction or in a team
• Collect and analyze data from structured research and evaluation activities, thus contributing to presenting findings of research in report form. 
• Analyzing complex problems, monitoring tasks and schedules, interpreting data and turning it into information that can offer ways to improve the business.
• Gather information from various sources and identify patterns and trends. 
• Review and edit written documents generated by others and communicate/work cooperatively with others. 
• Perform various administrative tasks to include creating written summaries and reports and maintaining meticulous logs and records.
• Comply with all appropriate legal and regulatory requirements when reporting and to the requesting organization while relating all facts accurately with a high-quality standard.
• Contribute to the Anaplan platform rollout and the continued annual rollout of financial plans to meet business requirements
• Work on ad hoc reporting requests and maintain the data quality of production and ad hoc reports
• Work on break fixes and enhancement requests
• Develop documentation for translating business requirements into technical functional requirements to support solution design
• Communicate and collaborate with team members across the wider EMEA Business Finance team to accomplish team and project goals

Skills on Resume: 

• Data Analysis (Hard Skills)
• Problem Solving (Soft Skills)
• Report Writing (Soft Skills)
• Communication Skills (Soft Skills)
• Compliance Knowledge (Hard Skills)
• Documentation Development (Hard Skills)
• Team Collaboration (Soft Skills)

Job Summary:

• Share best practices and analyze & track promotion effectiveness
• Generate insights on eShopper demographics, behaviours and patterns, correlations etc for targeting purposes.
• Track ROIs on promotion, search performance and recommend right search keywords & promotional activities that have high ROI
• Identify missing trends that can help product development or improve existing positioning
• Leverage Rating & Reviews to help drive sentiment analysis
• Recommend the right portfolio mix to grow profitably
• Collaborate eCommerce BU Lead on the Annual strategy
• Be the steward of good data practices including robust documentations, processes and knowledge sharing. 
• Identification of new data sources required to make performance analysis more concrete & robust
• Create and present key decision-making data for market assessments, forecasting and further investigation
• Analyze corporate reports in order to create financial reports
• Handle management requests to extract, manipulate, and organize data
• Utilize investigative, organizational, and analytical skills to implement and execute data mining projects
• Call out relevant insights from compiled analytical reports

Skills on Resume: 

• Promotion Tracking (Hard Skills)
• Data Insights (Hard Skills)
• ROI Analysis (Hard Skills)
• Trend Identification (Hard Skills)
• Sentiment Analysis (Hard Skills)
• Portfolio Management (Soft Skills)
• Strategy Collaboration (Soft Skills)
• Data Stewardship (Hard Skills)

Job Summary:

• Data conversions, data mapping, data definitions and data lifecycle management will be completed with the assistance of business process owners, data stewards and center of excellence teams globally. 
• Maintaining working knowledge of business processes and data policies to understand the critical business rules, application of the rules within the Data Quality tools and how that impacts the data profiling and KPIs. 
• Interpret the business data defined by the business process owners and develop business rules for each of Rogers’s businesses within the data quality software. 
• Work with Data Stewards to improve the accuracy of master data and maintain it through monthly monitoring of data quality KPIs for each data domain. 
• Generates ad hoc reports and regular datasets or reports information for end-users using system tools and database or data warehouse queries and scripts. 
• Maintain professional training and knowledge of key software applications that store master data records. 
• Build data-driven models to understand the characteristics of engineering systems
• Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
• Train, tune, validate, and monitor predictive models
• Analyze and extract relevant information from large amounts of historical business data, especially related to Finance, connected vehicles, both in structured and unstructured formats
• Establish scalable, efficient, automated processes for large-scale data analyses

Skills on Resume: 

• Data Mapping (Hard Skills)
• Business Knowledge (Soft Skills)
• Data Quality (Hard Skills)
• Report Generation (Hard Skills)
• Machine Learning (Hard Skills)
• Model Validation (Hard Skills)
• Data Analysis (Hard Skills)
• Process Automation (Hard Skills)

Job Summary:

• Align with Product owners on prioritization for scrum/PI deliverables
• Liaise with the Business Product Owner to ensure the Business requirements are captured in its entirety
• Liaise with Technical Leads to ensure Business requirements are clearly converted to Technical Requirements
• Continuous refinement of the backlog in alignment with the Product Owners
• Work with the QA Lead/Team to ensure all test scenarios are covered
• Investigate and report business rules and logic application to ensure the requirement
• Data profiling and analysis to evaluate data sources to determine the best source for business information
• Develop source-to-target data mapping specifications
• Develops ETL packages using SQL Server Integration Services (SSIS)
• Develops and supports complex reports using SQL Server Reporting Services, HTML, and Tableau.
• Working with DBA's to transition applications from MS Access or other platforms to MS SQL Server
• Analyzes business processes and requirements to identify opportunities for improvement using Microsoft tools and new technology
• Supporting department operations and sharing duties with the on-call team, participating in rotation schedules to provide support during off-business hours

Skills on Resume: 

• Backlog Refinement (Soft Skills)
• Requirements Liaison (Soft Skills)
• Data Profiling (Hard Skills)
• Data Mapping (Hard Skills)
• ETL Development (Hard Skills)
• Report Development (Hard Skills)
• Process Analysis (Soft Skills)
• Technical Support (Hard Skills)

Job Summary:

• Responsible for the forecast modelling of subscription acquisition and retention, across all products and territories
• Responsible for understanding and articulating the various factors impacting business and financial performance
• Developing the data structure and reports that identify trends and make recommendations to improve business sales, revenue and other relevant KPIs
• Support the marketing team with actionable analysis in the delivery of acquisitions and retention objectives
• Support the finance team with financial analysis relating to subscription business and deliver reports and dashboards for senior management against company KPIs
• Responsible for the development, implementation and updating of reporting solutions for the New Scientist marketing team
• Support the Exec team with business intelligence
• Prepare and clean up vendor & customer master data for migration
• Aggregate master data from multiple entities in Canada and the USA
• Compare current master data to the existing global master file including eliminating duplicates and add missing data
• Work with the Corporate Accounting team to acquire additional information
• Maintain a high level of accuracy by reviewing/auditing, correcting and properly entering all relevant data

Skills on Resume: 

• Forecast Modeling (Hard Skills)
• Financial Analysis (Hard Skills)
• Data Reporting (Hard Skills)
• KPI Tracking (Hard Skills)
• Data Cleaning (Hard Skills)
• Data Aggregation (Hard Skills)
• Audit Accuracy (Hard Skills)
• Cross-Team Collaboration (Soft Skills)

Job Summary:

• Support and successfully execute end-to-end Sales Incentive Plan (SIP) for Financial Services Consultants and Retirement Consultants
• Support and provide subject matter expertise to business partners on lead management ,analytics tools and processes
• Monitor and maintain critical lead management analytics tools and support the development of new analytics tools
• Provide insights on sales performance metrics, key drivers and present findings to Leaders to support decision making
• Manage scope and timelines for the sales incentive plan process to ensure all commitments are met
• Become a subject matter expert in understanding critical business needs and data requirements that feed into modelling and quarterly sales incentive plan execution
• Remain organized and proactive under conditions with multiple tasks and tight deadlines that may change to reflect current priorities
• Work with minimal supervision and exercise sound judgment during planning, testing, and production of CSC metrics.
• Perform calculations and develop forecasts to communicate responses and recommendations to specific inquiries from the CSC Management team
• Attend regular ideation sessions to come up with new and innovative test ideas
• Assist with prepping tickets in the backlog to ensure ideas are in a testable format

Skills on Resume: 

• Sales Analytics (Hard Skills)
• Leads Management (Hard Skills)
• Performance Insights (Hard Skills)
• Project Management (Soft Skills)
• Subject Expertise (Soft Skills)
• Organization Skills (Soft Skills)
• Forecasting Skills (Hard Skills)
• Innovative Thinking (Soft Skills)

Job Summary:

• Performing statistical analysis of data
• Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs
• Using data mining to extract information from data sets to organize and present to different business groups
• Capture and organize data to create forecasting for customer trends
• Strong ability to troubleshoot and resolve data issues
• Identify opportunities to improve data and business processes
• Form data management and governance processes within the IS team
• Monitoring data quality and removing corrupt data
• Communicating with stakeholders to understand data content and business requirements
• Day to day maintenance of test logs and dashboards
• Completing conclusion reports for every experiment
• Run significance calculations for all metrics tested in experiments
• Querying the data warehouse to get experiment data for analysis using SQL

Skills on Resume: 

• Statistical Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Data Mining (Hard Skills)
• Forecasting Skills (Hard Skills)
• Troubleshooting Skills (Soft Skills)
• Process Improvement (Soft Skills)
• Data Governance (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary:

• Provide reporting support for omnichannel marketing campaigns throughout the organization
• Analyst will provide reporting for Client Services, Sales, and Business Operations teams with a wide scope of projects
• Strong desire to learn the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive customer engagement
• Collaborate with senior team members to provide relevant support
• Support data investigations efforts and technical resolutions
• Data analysis in MS Excel (Pivot Tables, VLOOKUPs)
• Coordinate with internal partners to continuously monitor program health and system reliability
• Monitor available data sources to identify and analyze performance trends
• Working with product and business stakeholders to define business data assets and data requirements
• Ensure data is high quality
• Work with other data team members when required to deliver data such as Data Scientists, Data Engineers
• Ensure data usage meets governance and strategic requirements
• Educate business users on correct data usage
• Support colleagues by providing feedback regularly

Skills on Resume: 

• Reporting Support (Hard Skills)
• Data Analysis (Hard Skills)
• Excel Expertise (Hard Skills)
• Collaboration Skills (Soft Skills)
• Data Monitoring (Hard Skills)
• Data Governance (Hard Skills)
• Training Ability (Soft Skills)
• Stakeholder Coordination (Soft Skills)

Job Summary:

• Support customer deployments with new client rollouts (will be trained on all of the software)
• Regularly examine data reports to locate and resolve mistakes throughout
• Review data to identify changes in financial and business trends
• Complex data entry with technical data
• Collect and analyze data for various types of business reports
• Monitor databases for updates and maintain accuracy
• Develop business analysis and data recording systems for use throughout the department
• Convey the results of data analysis in written and verbal form to managers
• Support various departments, including marketing and sales, in reaching goals through analysis

Skills on Resume: 

• Client Support (Soft Skills)
• Data Review (Hard Skills)
• Trend Analysis (Hard Skills)
• Data Entry (Hard Skills)
• Business Reporting (Hard Skills)
• Database Monitoring (Hard Skills)
• Systems Development (Hard Skills)
• Communication Skills (Soft Skills)

Job Summary:

• Prepare reports and present the story of the data to stakeholders on all levels of the organization in an easily accessible manner
• Designing and interpreting complex dashboards
• Analyzes data and statistics for trends and patterns
• Process and clean the data used for analysis and reporting
• Learn new technologies on the job and Mentor junior analysts
• Communicate complex results to technical and non-technical audiences (across different teams)
• Work in a fast-growing company
• Data collection, transformation, and aggregation from external and internal sources
• Developing dashboards and analytic reports to solve business problems and provide recommendations based on relevant data to clients
• Combining data analytics and data visualization techniques to support the team in developing an analysis report
• Organizing and presenting data in a clear and, concise manner
• Construct and enhance analytics framework

Skills on Resume: 

• Report Preparation (Hard Skills)
• Dashboard Design (Hard Skills)
• Data Analysis (Hard Skills)
• Data Cleaning (Hard Skills)
• Mentoring Skills (Soft Skills)
• Communication Skills (Soft Skills)
• Data Aggregation (Hard Skills)
• Analytics Framework (Hard Skills)

Job Summary:

• Create reports and data visualizations to guide decision-making across the purchasing team
• Act as the purchasing liaison for all internal data analysis requests and coordinate requirements with cross-functional teams
• Make data and reporting updates to ensure accuracy
• Communicate reporting outcomes and improvement areas effectively
• Lead data analytics vision for global supply management by thinking strategically and considering Tesla’s global supply chain structure
• Develop data-based solutions to complex purchasing challenges and be able to present relevant information in a non-specialist forum
• Apply out-of-the-box thinking, problem-solving abilities and operational supply chain experience to derive solutions
• Independently handle multiple projects at a time, meeting objectives and deadlines
• Document relevant timelines as well as deliverables and present to the project steering committees
• Identify patterns and actionable insights from data
• Summarizing external data to support the recommendations in the insight analysis reports
• Conducting and overseeing activities of the junior data analysts, ensuring proper execution of duties and alignment with business vision and objectives.

Skills on Resume: 

• Data Visualization (Hard Skills)
• Cross-Functional Liaison (Soft Skills)
• Data Accuracy (Hard Skills)
• Effective Communication (Soft Skills)
• Strategic Thinking (Soft Skills)
• Problem Solving (Soft Skills)
• Project Management (Soft Skills)
• Team Leadership (Soft Skills)

Job Summary:

• Work in an industry and company that positively supports the health of communities
• Embrace innovation and change, looking for continual improvement in data tools and processes
• Work as one team and look at data across all decision-making
• Keep promises and get better each day
• A key role in supporting the analysis of daily operations and related project efforts
• Builds relationships with current content generators and maps current discrepancies in understanding reporting
• Creates tools and models to support cost-saving measures and new client proposals developed by Strategic Business Analysts
• Ensures that KPI’s & metrics are aligned across the business
• Identifies opportunities, new insights, and gaps, and reacts accordingly to business requirements
• Maintains and distributes reporting and dashboards across the organization
• Supports efforts on process standardization
• Addresses issues submitted to the Analytics team’s help desk
• Works with MedSpeed IT to understand data structures and opportunities
• Performs user acceptance testing by MedSpeed IT
• Build and nurture a collaborative MedSpeed team culture

Skills on Resume: 

• Innovation Mindset (Soft Skills)
• Team Collaboration (Soft Skills)
• Data Analysis (Hard Skills)
• Relationship Building (Soft Skills)
• Tool Development (Hard Skills)
• KPI Alignment (Hard Skills)
• Process Standardization (Hard Skills)
• User Testing (Hard Skills)

Job Summary:

• Prepare monthly Programs Distribution Detail report and conduct periodic meetings with Program Managers on understanding the role of food distribution and the financial impact on the organization.
• Support Program Managers in managing grant funding and grant reporting needs.
• Collect and review current data collection methodologies and make improvements.
• Conduct surveys, questionnaires, focus groups, and interviews with participants, program staff, and community partners.
• Collaborate and coordinate standardized survey tools with Feeding America, staff, consultants, and interns.
• Make recommendations for survey changes, maintain a local survey database, and prepare related reporting and analysis.
• Collaborate with Program Managers to identify best practices, service gaps, and growth opportunities.
• Conduct regular assessment of community food security using primary and secondary data sources, including community input.
• Produce summaries, reports, presentations, and maps to document and track program success and change to inform key stakeholders.
• Perform on-site visits to observe and evaluate program implementation and effectiveness.
• Derive meaningful insights from data that enable the Food Bank to understand the progress of specific initiatives and drive program improvement.
• Collect and document events or other factors impacting food security in the 13-county service area.
• Provide backup to the Director of Analytical Reporting for recurring reporting needs.
• Assist in creating, developing, and maintaining

Skills on Resume: 

• Report Preparation (Hard Skills)
• Grant Management (Hard Skills)
• Survey Design (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Analysis (Hard Skills)
• Program Evaluation (Hard Skills)
• Community Engagement (Soft Skills)
• Presentation Skills (Soft Skills)

Job Summary:

• Plays a key role on project teams by contributing to the project's success through effective planning, coordination and communication.
• Work with key project stakeholders, both in the non-profit and public sectors, and the wider analytics team
• Supporting the development of analytics implementation plans, leading analytics configuration, generating documentation, and testing.
• Work closely with clients and internal teams to configure detailed reports, build dashboards, and lead detailed analysis.
• Clearly communicate insights with clients and project team members (consisting of UX, design, tech roles) to facilitate a shared understanding of site performance and opportunities for improvement
• Map client organizational goals to the analytics implementation strategy
• Configure data collection via Google Tag Manager
• Rapidly translate data into impactful narratives
• Using data from a range of sources, including Google Analytics, email marketing platforms, social media sites, and CRMs, generate analytics reports and dashboards in Excel, Tableau, and other software
• Manipulate and analyze large, complex, multi-dimensional data sets using SQL and regular expressions

Skills on Resume: 

• Project Coordination (Soft Skills)
• Stakeholder Management (Soft Skills)
• Analytics Configuration (Hard Skills)
• Report Building (Hard Skills)
• Effective Communication (Soft Skills)
• Data Mapping (Hard Skills)
• Data Visualization (Hard Skills)
• SQL Analysis (Hard Skills)

Job Summary:

• Work with cutting-edge database technologies, developing
• Develop and execute database queries and conduct analyses using MS SQL
• Provide support and guidance on project management reporting through available toolsets
• Use of tools and techniques to support program/project reporting
• Support the business in the implementation of new ETL software packages
• Act as a ‘Subject Matter Expert’ for any database queries relating to SQL
• Troubleshoot, support and escalate database issues and incidents
• Investigate report scheduling failures and manually create job scheduling.
• Maintain and update documentation for upcoming Data-driven projects
• Assist with general support and training for Jet Reports and other analytical tools for Food Bank team members
• Assist in creating an annual Food Budget, specifically in coordinating program food assumptions.

Skills on Resume: 

• Database Development (Hard Skills)
• SQL Querying (Hard Skills)
• Project Reporting (Hard Skills)
• ETL Implementation (Hard Skills)
• Troubleshooting Skills (Soft Skills)
• Job Scheduling (Hard Skills)
• Documentation Skills (Soft Skills)
• Training Support (Soft Skills)

Job Summary:

• Design, build, configure and implement conversions into the software using the existing toolsets
• Focus on the delivery implementations of the software, customized and configured to clients’ requirements and all of the
• Focus on completing targets based on the scheduled delivery of work packages
• Responsible for data migration/conversion
• Understand, analyze the client’s data and import the data into the software
• Design, Build, Configure and implement conversions into the software using existing toolsets
• Working in a fast-paced environment
• Responsible for providing support to portfolio managers in the areas of hedge fund data and due diligence and manager onboarding processes.
• Collect hedge fund manager information from various sources and compile comprehensive database universes by systematically codifying, inputting, and analyzing data
• Conduct regular and ongoing maintenance of fund manager information utilizing internal systems and databases, as well as identifying and addressing any data issues

Skills on Resume: 

• Software Configuration (Hard Skills)
• Data Migration (Hard Skills)
• Client Analysis (Soft Skills)
• Delivery Management (Soft Skills)
• Database Management (Hard Skills)
• Data Compilation (Hard Skills)
• Issue Resolution (Soft Skills)
• Fast-Paced Adaptability (Soft Skills)

Job Summary:

• Strategic partner to PM and business leaders to drive the right business outcomes
• Build statistical and machine learning models (like Time-Series Forecasting Models, Regressions, K-means Clustering, Random Forest, SVM etc.) to answer business and product challenges
• Design and report on A/B tests using rigorous hypothesis testing methods
• Model data in data pipeline and Looker in response to reporting requirements
• Maintain and contribute to the ETL (extract-transform-load) pipeline
• Work with stakeholders to ascertain modeling needs for analytics and reporting purposes
• Inform, set and track Key Results for product and business teams
• Communicate results to leadership, peers, and the wider team
• Support due diligence and onboarding process of external fund managers
• Perform periodic formal reviews of invested manager data
• Depending on the candidate's background and experience, there are additional opportunities to contribute to/manage various team initiatives
• Streamline the fund manager data collection/maintenance processes and develop an optimal support model

Skills on Resume: 

• Strategic Partnership (Soft Skills)
• Machine Learning (Hard Skills)
• A/B Testing (Hard Skills)
• Data Modeling (Hard Skills)
• ETL Pipeline (Hard Skills)
• Stakeholder Management (Soft Skills)
• Results Communication (Soft Skills)
• Process Optimization (Soft Skills)

Job Summary:

• Assist in data validation, report generation, and analysis of healthcare, market intelligence, and web application data.
• Work closely with colleagues on the analytics, client services, marketing, and sales teams to provide insights for the provider, payer, and EHR markets.
• Generating statistical reporting by obtaining data from disparate sources ensuring the applicability and accuracy of information
• Building dashboards and reports for payer/provider clients and internal teams including client services, marketing, and sales, to provide insights for the strategic goals of each stakeholder
• Review data to determine operational impacts and needed actions including elevate issues, trends, areas for improvement and opportunities for management to provide transparency for and increase client ROI
• Supporting data access for revenue and growth models, as well as developing and implementing improvements in forecast methodology
• Collect internal and external data. 
• Develop dashboards by using different data resources
• Detect  business problems and identify the needs of cross-functional teams
• Improve the reliability and quality of data and analysis

Skills on Resume: 

• Data Validation (Hard Skills)
• Report Generation (Hard Skills)
• Statistical Reporting (Hard Skills)
• Dashboard Building (Hard Skills)
• Operational Review (Soft Skills)
• Forecast Improvement (Hard Skills)
• Problem Detection (Soft Skills)
• Data Quality (Hard Skills)

Job Summary:

• Support leading client teams to translate business problems into actionable queries.
• Work with complex data sets, support data structures and hygiene at a high level
• Perform data analysis and data profiling
• Work with UK offices to help deliver a new data product locally
• Support strategic teams in pitch efforts, providing actionable insights.
• Work with clients to interpret business challenges and deliver data-driven solutions to them
• Articulate and present solutions to a range of stakeholders
• Be a part of a culture that focuses on delivering excellence for clients
• Develop and automate reports and recurring requests
• Write complex SQL-based queries to build analytic data sets for both exploration and modeling
• Provide technical expertise in data storage structures, data mining, data cleansing, and data visualization. 
• Integrate multiple data sources into one visualization to tell a story

Skills on Resume: 

• Data Analysis (Hard Skills)
• Data Profiling (Hard Skills)
• Client Support (Soft Skills)
• Insight Generation (Soft Skills)
• SQL Querying (Hard Skills)
• Technical Expertise (Hard Skills)
• Data Visualization (Hard Skills)
• Solution Presentation (Soft Skills)

Job Summary:

• Document enterprise-wide and application team-specific data/reporting requirements
• Transform client requests into data deliverables to include data models, data mappings, and data transformation rules
• Debug and optimize existing queries, views, and tables to improve performance
• Provide technical consulting in the definition, design, and creation of a Microsoft SQL database environment
• Ensures that the documentation is complete and up-to-date
• Manage the SQL Server database and maintain database documentation
• Create custom reports to support multiple functional users
• Work closely with management on the functionality needed to extract and manage data
• Design admin screens, layouts and functional user experience usinga  custom interface tool
• Depict moderately complex-to-complex ideas, issues and data designs to varied audiences

Skills on Resume: 

• Documentation (Soft Skills)
• Data Transformation (Hard Skills)
• Query Optimization (Hard Skills)
• SQL Consulting (Hard Skills)
• Database Management (Hard Skills)
• Report Creation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• User Experience (Hard Skills)

Job Summary:

• Apply analytical methods, such as data manipulation/mining/analysis/reporting and statistical techniques
• Ensure data quality throughout all stages of data acquisition, processing and visualization, including data collection, cleaning, normalization, transformation, integration and storage
• Develop, deliver and maintain data reports and dashboards utilizing integrated online data visualization platforms
• Conduct code development, automate data processes and perform troubleshooting actions
• Uses standard statistical tools and data analysis methodologies to pinpoint trends, patterns, and correlations in large data sets
• Communicate and present results to stakeholders and make adjustments based on feedback
• Responsible for assisting the data science team and performing functional duties under the supervision of the leading data scientist, presenting data summaries
• Tracks the improvement of quality outcomes across the service line by exporting data from various healthcare registries and updating dashboards in a timely manner.
• Monitors and assesses system performance metrics using tabular and graphical analysis tools. 
• Reports on trends and/or anomalies at regular intervals

Skills on Resume: 

• Data Analysis (Hard Skills)
• Data Quality (Hard Skills)
• Dashboard Development (Hard Skills)
• Code Automation (Hard Skills)
• Statistical Tools (Hard Skills)
• Results Communication (Soft Skills)
• Performance Monitoring (Hard Skills)
• Trend Reporting (Hard Skills)

Job Summary:

• Collect selected data (for example, financial, turnaround times, quality metrics, and resource metrics) from Operations staff 
• Analyze on an ongoing basis to monitor project delivery and overall RN Operations performance, designing data collection and analytical processes
• Identify gaps and trends in Operations data and escalate to the appropriate team member (including group Directors, Associate Directors, and Managers).
• Support the ongoing development of metrics and tracking mechanisms and build tools to assist in the capture and tracking of such metrics.
• Present data summaries, dashboards, visualizations, and graphs to Business Unit leadership teams (Research Nursing Operations Leadership Team (RNOLT), Clinical Services Leadership Team (COLT) and Operational Leadership Team (OLT) for multi-business unit projects)
• Identify at-risk projects and/or projects to be escalated to the Senior Management Team (SMT) for additional 
• Responsible for delivering critical data and capability products to power marketing communications, personalization and analytics systems.
• Participates in and develops appropriate documentation to track program quality, volume, and satisfaction metrics.
• Utilizes business intelligence software to extract, analyze, and interpret data in order to generate reports for data visualization.
• Participates in the development and implementation of performance improvement initiatives by facilitating the development of sub-groups, recording and communicating assignments, developing and circulating meeting agendas to get focused efforts on improving metric outcomes.

Skills on Resume: 

• Data Collection (Hard Skills)
• Data Analysis (Hard Skills)
• Trend Identification (Soft Skills)
• Metrics Development (Hard Skills)
• Data Visualization (Hard Skills)
• Project Escalation (Soft Skills)
• Report Generation (Hard Skills)
• Performance Improvement (Soft Skills)

Job Summary:

• Overseeing the management of the automated fraud payment, Chargeback system and payment database.
• The identification of suspects and high-risk payment Fraud by use of data Analysis.
• Enhance the quality of data referred for fraud screening, review current fraud rules and scoring to optimize fraud detection.
• Analyze chargeback data to develop strategies to mitigate and reduce fraud losses.
• Analyze payment rejection data to assist in fraud detection and increase the payment conversion rate.
• Liaise with the Fraud and chargeback team in relation to Fraud trends, detection and prevention procedures.
• Liaise with third-party Fraud and Payment Provider, Law enforcement and internally within the company on all Fraud and Payment issues
• Assist in installing, configuring, and the management of visualization tools such as Power BI and Tableau
• Proactively ensure the highest levels of accuracy with the distribution of data and help ensure consistency of the data for future needs
• Work closely with Finance, Operations and Accounting team members to understand and maintain focus on analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
• Work with SQL Database Administrator(s) on the maintenance of data warehouse, mart, lake or other high volume OLAP topologies

Skills on Resume: 

• Fraud Management (Hard Skills)
• Data Analysis (Hard Skills)
• Fraud Detection (Hard Skills)
• Chargeback Analysis (Hard Skills)
• Stakeholder Liaison (Soft Skills)
• Data Visualization (Hard Skills)
• Insight Delivery (Soft Skills)
• SQL Maintenance (Hard Skills)

Job Summary:

• Responsible for data consolidation, analysis, and business reporting.
• Develops and maintains reports for stakeholders at all levels of the organization.
• Develops actionable insights and recommendations for business.
• Collaborates with various functional teams such as marketing, underwriting, operations and IT to identify analytical requirements and achieve business results.
• Provides support to research teams or management by collecting and analyzing data and reporting results based on the needs of end users.
• Handle special ad-hoc analytical projects
• Assist in implementing or developing systems to capture business operation data.
• Uses commercial tools or develops custom solutions to generate metrics and useful business data.
• Ensures data accuracy, troubleshoots and improves performance of data applications.
• Maintains data integrity and data processing efficiency by working to eliminate redundancy and applying best practice data stewardship techniques.
• Recommend data reporting or access tools and train end-users in use.
• Stays informed of the ways the organization uses its data.
• Continuously be learning and staying abreast of technology advances, specifically cloud data technologies.

Skills on Resume: 

• Data Consolidation (Hard Skills)
• Report Development (Hard Skills)
• Insight Generation (Soft Skills)
• Cross-Team Collaboration (Soft Skills)
• Ad-Hoc Analysis (Hard Skills)
• System Implementation (Hard Skills)
• Data Stewardship (Hard Skills)
• Continuous Learning (Soft Skills)

Job Summary:

• Collaborate with end users to understand data requests and translate into actionable analysis
• Analyze data and contribute to the design, development and implementation of analytics models, tools, reports, and dashboards for business planning
• Develop and maintain daily/weekly reports for distribution that drive business decisions
• Support consumer data acquisition and engagement efforts to further internal knowledge of consumers
• Provide ad hoc support for research or investigation into emerging trends and rapidly changing business conditions
• Responsible for extracting the target list for marketing strategies and providing pre/post-analysis of segment performance
• Utilize SQL, Python and/or R to enable data and system automations
• Demonstrates a high degree of professionalism in communication, attitude and teamwork with customers, peers and management
• Demonstrates a high level of quality work, attendance and appearance
• Adheres to all Company Policies & Procedures and Safety Regulations
• Adheres to local, state and federal laws
• Understands and complies with all company rules and regulations

Skills on Resume: 

• Data Collaboration (Soft Skills)
• Analytics Development (Hard Skills)
• Report Generation (Hard Skills)
• Consumer Engagement (Soft Skills)
• Trend Analysis (Hard Skills)
• SQL Programming (Hard Skills)
• Professionalism Skills (Soft Skills)
• Policy Compliance (Soft Skills)

Job Summary:

• Perform business analysis to understand information needs and requirements, and how business rules and workflows translate into data and information.
• Facilitate discussions and educate data custodians and data stewards to standardize business terms, define and classify data, and establish access and information requirements.
• Design, develop, and implement information solutions relating to reporting, dashboards, and self-service data delivery methodologies to meet the needs of senior administrators, campus users and entities external to the University of Saskatchewan.
• Identify issues of data quality (e.g. accuracy, completeness, reliability, etc.) and ensure that data-related problems are addressed and resolved in a timely manner.
• Help establish and promote policies, standards and methodologies for the data management and governance as they apply to data warehouse, integration and business intelligence activities.
• Prepare documentation to support the implementation of the data warehouse and business intelligence deployments including technical specifications, project plans, architecture designs, test plans, data definitions and access and compliance classifications.
• Administrate enterprise software applications in the data infrastructure such as reporting, operational data store and data warehouse systems.
• Design, develop, and test extract-transform-load (ETL) processes for the acquisition and integration of data into new or existing facts and dimensions in the institutional data warehouse.
• Provide regular updates to the manager and the team on progress, emerging issues, and new opportunities.
• Promote a team environment through effective collaboration and communication.
• Access knowledge bases and FAQ resources on the Internet/Intranet to aid in incident resolution.
• Develop and post documentation related to customized tasks, procedures and services
• Stay current and take part in training opportunities as directed by the Manager, IT Support Services.

Skills on Resume: 

• Business Analysis (Hard Skills)
• Data Stewardship (Hard Skills)
• Information Solutions (Hard Skills)
• Data Quality (Hard Skills)
• Data Governance (Hard Skills)
• Technical Documentation (Hard Skills)
• ETL Development (Hard Skills)
• Team Collaboration (Soft Skills)

Job Summary:

• Partner with leaders of Thumbtack’s Operations teams in the Philippines and in the US (i.e., Pro Engagement Marketing, Customer Support and Trust & Safety) to determine the most pressing business problems and solve them with data.
• Build and maintain business intelligence reports that provide insights into Thumbtack users’ activity in the platform and engagement with the operations team.
• Create SQL scripts that extract and process large datasets from relational databases
• Prioritize and execute data analytics projects, from scoping to deployment.
• Communicate project results and data-backed recommendations to stakeholders, monitor and improve them
• Determine the metrics, together with the procedure and formula, that appropriately answer business questions
• Contribute to team and company data culture through peer collaboration, training, knowledge sharing and more.
• Identify, design, prioritize and develop data analyses to create unique business insights
• Perform detailed data exploration and validation to understand customers
• Identify key analytic metrics, build reports and present key insights to ensure that data drives actions to improve the business

Skills on Resume: 

• Business Partnership (Soft Skills)
• Business Intelligence (Hard Skills)
• SQL Scripting (Hard Skills)
• Project Management (Soft Skills)
• Results Communication (Soft Skills)
• Metric Development (Hard Skills)
• Team Collaboration (Soft Skills)
• Data Exploration (Hard Skills)

Job Summary:

• Evaluate quality measures at the contractor, individual provider, or aggregate level using relevant information, individual judgment, and state/federal specifications.
• Coordinate and support the submission of quarterly, semi-annual, and annual quality reporting metrics.
• Provide analytical expertise to review and summarize complex reports, member information, and data upon request.
• Query, collect, prepare, and safeguard data or information necessary for CMS, legislative, and other reports.
• Analyze and trend data to assess program participation and programmatic progress.
• Compile and analyze data to provide answers to user requests.
• Complete data request projects in a timely manner.
• Collaborate with management and internal and external teams to recommend, implement, and evaluate improvements needed to streamline and reduce the administrative burden related to reporting requirements and processes.
• Assist in verifying, monitoring, analyzing data and information, and creating dashboards needed for internal data dashboards, data reporting systems, federal reports, internal reports, and ADHOC data/information requests.
• Ability to learn to utilize SAS and Tableau to manage data and create data visualization aids to provide actionable data to key stakeholders.
• Keen data analytics aptitude, including proficient Excel skills with the ability to analyze, visualize, and summarize data using formulas and pivot tables.

Skills on Resume: 

• Quality Evaluation (Hard Skills)
• Report Coordination (Hard Skills)
• Analytical Expertise (Hard Skills)
• Data Querying (Hard Skills)
• Trend Analysis (Hard Skills)
• Collaboration Skills (Soft Skills)
• Data Visualization (Hard Skills)
• Excel Proficiency (Hard Skills)

Job Summary:

• Create and run reports analysing data and automate current team processes using VBA, Python, Tableau, and Scripting with SQL
• Provide general day-to-day support to the Asian Client Services/Dealer Relations team.
• Ownership and input of new company set-ups in Production and Demo/Development environments
• Creation of new user logins, deletions and updates to existing users as well as updates to existing users
• Help clients experiencing technical difficulties downloading and accessing the Tradeweb software
• Assist with general administrative duties for other teams such as Networks, Operations and Product management
• Keep up to date with product launches and functionality releases
• Help with the training of new joiners and existing members of the team
• Internal Tradeweb employees set up and update existing access in Production and Demo
• Writing and keeping procedures up to date and notifying the team

Skills on Resume: 

• Report Automation (Hard Skills)
• Client Support (Soft Skills)
• User Management (Hard Skills)
• Technical Troubleshooting (Hard Skills)
• Administrative Support (Soft Skills)
• Product Knowledge (Soft Skills)
• Training Delivery (Soft Skills)
• Procedure Documentation (Hard Skills)

Job Summary:

• Design, scope, and analyze A/B tests to best optimize Product features
• Dive deep into the data to understand how member’s behavior changes with the evolution of products and features
• Design and build Look for root cause analysis and alerting, enabling stakeholders to quickly diagnose and resolve issues
• Evangelize data-driven decision-making across the company.
• Attend key strategy and design meetings, holding leaders accountable for testing, measurement and iteration.
• Advance data accessibility and literacy for consumers across the company, providing standard tooling for access, constructing a single source of truth, and delivering training in SQL and other analytics capabilities
• Advise engineering on best practices for data capture to support meaningful analytics
• Being hands-on in evolving the Looker platform into a self-service data insights tool for core business functions
• Working closely with stakeholders to identify critical business objectives, brainstorming solutions enabled by analytics, scoping analytics projects and deliverables

Skills on Resume: 

• A/B Testing (Hard Skills)
• Behavior Analysis (Hard Skills)
• Root Cause (Hard Skills)
• Data Evangelism (Soft Skills)
• Strategy Facilitation (Soft Skills)
• Data Literacy (Soft Skills)
• Analytics Advising (Soft Skills)
• Stakeholder Engagement (Soft Skills)

Job Summary:

• Data mining from primary and secondary sources, then reorganizing this data in various analytical reports
• Interpreting data sets by using statistical tools, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
• Demonstrating the significance of work in the context of local, national, and global trends that impact both the organization and industry
• Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data
• Collaborating with programmers and organizational leaders to identify opportunities for process improvements
• Examine and analyze available information to determine patterns and gaps at a strategic level and recommend a course of action to support internal and external users
• Research and analyze web and game usage data and recommend solutions
• Analyze user experience and business processes in order to identify opportunities for improvement
• Document business needs, prioritize requested functionality, and validate requirements against strategic goals and project objectives
• Provide reporting and performance monitoring by using data drawn from diverse sources

Skills on Resume: 

• Data Mining (Hard Skills)
• Statistical Analysis (Hard Skills)
• Trend Communication (Soft Skills)
• Report Preparation (Hard Skills)
• Process Improvement (Soft Skills)
• Strategic Analysis (Soft Skills)
• User Experience (Soft Skills)
• Performance Monitoring (Hard Skills)