Job Summary:

• Perform analysis on large datasets to make and implement recommendations for maximizing customer experience
• Developing/improving/documenting/testing existing applications and automation
• Improving technical skill sets, assisting other team members with improving team skill sets
• Work as a member of one or more agile teams, using lean principles and SCRUM methodology
• Daily communication with members of the firm ranging from analyst to partner.
• Work with technical teams to further understand and develop in-house systems
• Work with reporting teams to better applications that support year-round data business.
• Ensure the accurate and timely delivery of addition, change and de-activation of master data records in accordance with SLAs. 
• Types of records include vendor master, customer master, material master, pricing master and finance master
• Ensure data input is consistent with the data standards and meets the required levels of completeness

Skills on Resume: 

• Data Analysis (Hard Skills)
• Application Development (Hard Skills)
• Technical Skill Improvement (Hard Skills)
• Agile Methodologies (Hard Skills)
• Cross-Functional Communication (Soft Skills)
• System Optimization (Hard Skills)
• Data Governance (Hard Skills)
• Data Standardization (Hard Skills)

Job Summary:

• Run Data performance reports for the key quality measures of completeness, consistency, uniqueness, and accuracy
• Identify and implement process and solution requirements for the master data management process
• Regularly track and resolve outstanding master data management issues.
• Identify and contribute to the improvement of defective trends or areas of process performance weakness in the end-to-end process
• Contribute towards the data enrichment process for the Data sub-tower on a continuous improvement cycle
• Championing Arch’s client-focused culture by owning data reconciliations and platform onboarding
• Processing and monitoring account information, including updates from clients and funds
• Reviewing data for deficiencies or errors, correcting any incompatibilities and checking outputs
• Coordinating Arch’s tax season document collection efforts
• Cultivating a deep understanding of products, processes, and the alternative investment industry as a whole
• Working with the rest of the team to make decisions on Arch's roadmap and product direction

Skills on Resume: 

• Data Performance Reporting (Hard Skills)
• Process Improvement (Hard Skills)
• Issue Resolution (Hard Skills)
• Trend Analysis (Hard Skills)
• Data Enrichment (Hard Skills)
• Client Focus (Soft Skills)
• Data Processing (Hard Skills)
• Product Knowledge (Soft Skills)

Job Summary:

• Manage and maintain the Program and Donor database to ensure consistent and accurate information
• Establish and implement standard operating procedures for each season’s program and volunteer recruitment registration systems
• Set up and maintain financial assistance discount codes seasonally and perform reconciliation in partnership with the Director of Finance
• Generate weekly reports for the program team to inform decision-making and program tactics
• Create and maintain a dashboard for organizational mission advancement markers (Key Performance Indicators), including the maintenance of a monthly scorecard
• Support the Finance Director with accounts payable and receivables
• Assign and reconcile incoming donations for Boston Marathon runners and other fundraising initiatives in collaboration with the Community Engagement Manager
• Serve as backup for payroll processing
• Maintain confidentiality, integrity and security of all data
• Assist with office projects, surveys

Skills on Resume: 

• Database Management (Hard Skills)
• Standard Operating Procedures (Hard Skills)
• Financial Reconciliation (Hard Skills)
• Reporting (Hard Skills)
• Dashboard Creation (Hard Skills)
• Accounts Payable and Receivable (Hard Skills)
• Donation Management (Hard Skills)
• Data Security (Hard Skills)

Job Summary:

• Research, input, edit, and organize media vendor information such as advertiser information, media ownership hierarchies, media types, ad formats, etc. based on aggregated agency media buying data
• Development of dashboards using syndicated data for both internal and external audiences using SQL, Microsoft Access, Power Query, Power Pivot, and PowerBI.
• Work with associates, business managers and clients to find ways tools can help them do work more efficiently.
• Apply a variety of different client-driven objectives and metrics of success
• Learn and share knowledge with co-workers to grow analytics total impact to the company.
• Develop an advanced knowledge and understanding of data.
• Understand clients’ objectives with dashboards and adjust to fit needs and measure performance.
• Create, maintain, update, and make modifications to reports
• Communicate effectively with all parties involved in the project
• Report weekly on current projects to the Director of Analytics and Insights.

Skills on Resume: 

• Data Research and Organization (Hard Skills)
• Dashboard Development (Hard Skills)
• Tool Optimization (Soft Skills)
• Metrics Application (Hard Skills)
• Knowledge Sharing (Soft Skills)
• Data Analysis (Hard Skills)
• Client Needs Assessment (Soft Skills)
• Report Management (Hard Skills)

Job Summary:

• Work closely with Data Science on feature research
• Validate, prepare and label complex and large data sets for model testing and training
• Analyze models’ performance and accuracy
• Facilitate the technical connection with various Engineering, Research and Product teams to allow a smooth transition of data and work
• Deliver end-to-end results of every analysis clearly and effectively, independently and as part of a team
• Analyze the product’s usage and surface insights that help drive adoption
• Review and audit market data in order to find areas of improvement and/or fix potential errors
• Contribute to the increasing level of innovation in SMI’s data
• Maintain permanent communication with the data management team and provide periodical reporting on the progress of projects.
• Help drive the organization to improve data integrity for company-wide analytics

Skills on Resume: 

• Feature Research (Hard Skills)
• Data Preparation (Hard Skills)
• Model Performance Analysis (Hard Skills)
• Cross-Team Collaboration (Soft Skills)
• Results Communication (Soft Skills)
• Product Usage Analysis (Hard Skills)
• Market Data Auditing (Hard Skills)
• Data Integrity Improvement (Hard Skills)

Job Summary:

• Review and analyze Angular JS and Node JS scripts
• Investigate issues and provide root cause analysis as well as the proposed solution
• Work side-by-side with developers, operations teams and analysts to breakdown process workflows for production database updates
• Define system relationships to understand and distinguish relevant key performance indicators (KPIs) and instrument applications for periodic reporting so that the monitoring of concerns is optimized
• Collaborate with developers to deploy scripts and schedule and execute jobs to control activities and deliver events
• Respond to system monitors with appropriate countermeasures/runbooks
• Resolve configuration and process problems and, if needed, provide on-call application support
• Participate in periodic disaster recovery and compliance exercises
• Proactively identify and schedule change events
• Data Operations Analyst communicate potential problems and issues proactively to project team members/leaders
• Assist in designing regression test cases and prepare and deliver required architecture and technical documentation
• Gather evidence for security and standards compliance reporting

Skills on Resume: 

• Script Analysis (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Workflow Breakdown (Soft Skills)
• KPI Definition (Hard Skills)
• Script Deployment (Hard Skills)
• System Monitoring (Hard Skills)
• Problem Resolution (Soft Skills)
• Compliance Reporting (Hard Skills)

Job Summary:

• Work cross-functionally with implementation and analytics teams to make operational plans for program implementations
• Establish data related indicators and systems for regional business
• Provide data support to related projects based on the internal correlation of key indicators
• Extract and split data indicators and generate data attribution reports, drive solid operations strategy by discovering and promoting the growth of short video services in different regions
• Work with the Operations team for data modeling to drive the business data operations
• Conduct in-depth analysis in terms of Operations-related topics and give feasible suggestions for further optimization.
• Designing, creating, maintaining & enhancing Management Information and Business Intelligence deliverables to provide high-quality, accurate, visually appealing outputs to meet the needs of internal & external customers
• Pro-actively managing data and implementing technical controls to embed data by design, documenting technical data definitions for applications & processes and providing technical expertise to support data quality measurement, monitoring and reporting
• Building and maintaining excellent stakeholder relationships. 
• Leading and supporting Product Owners and Design Authorities in Scrum team projects

Skills on Resume: 

• Cross-Functional Collaboration (Soft Skills)
• Data Indicator Establishment (Hard Skills)
• Data Support (Hard Skills)
• Data Attribution Reporting (Hard Skills)
• Data Modeling (Hard Skills)
• Operations Analysis (Hard Skills)
• Business Intelligence Development (Hard Skills)
• Stakeholder Relationship Management (Soft Skills)

Job Summary:

• Work with sales operations analysts to identify strategic business questions, key metrics, and actionable insights
• Identify and access key datasets across multiple functions and tie them together via key fields and data sources
• Work with cross-functional teams and data owners to gather data to enable reporting and analysis needed by Global Sales Operations leaders
• Work closely with shared services analytical counterparts in other functions in the company
• Guide requirements for data collection and modeling with data engineers
• Work within a team of operations subject matter experts responsible for guiding improvements within the business worldwide
• Work with counterparts from other global regions to gather requirements and share insights 
• Develop modeling methodologies and analytics to identify key business trends like discounts by product, discounts by route to market, approval requirements, deal touchpoints, and operational efficiencies
• Feed systematic approaches into both KPIs and dashboards for ongoing management and visualization
• Summarize data findings into a presentable format for support, business cases, and inflight projects and programs

Skills on Resume: 

• Strategic Analysis (Hard Skills)
• Data Integration (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Data Gathering (Hard Skills)
• Requirements Definition (Soft Skills)
• Business Improvement Guidance (Soft Skills)
• Data Modeling (Hard Skills)
• Data Visualization (Hard Skills)

Job Summary:

• Lead master data management system with a thorough knowledge and understanding of relational databases, data structures and the ability to cleanse, analyze and connect data from multiple sources
• Develop and monitor utilities to ensure supplier catalogs and items are accurate, up to date and exposed to the correct customers
• Manage all functions of the product catalog, including initial upload and periodic updates and any data quality issues
• Execute daily operational activities related to EDI and other interface platforms including mapping, operational monitoring, error handling
• Preparing reports and dashboards for executive leadership that effectively communicate trends, patterns, and predictions using relevant data
• Work with implementation and product teams to ensure program implementation plans align with product functionality and standards
• Set up and maintain a variety of data products for each program implementation, including inbound file configuration, outbound file configuration and generation, and reporting
• Ensure that the delivery of data products is secure, tested, and on schedule
• Consider wider business impact when working with data, including bookings risk, customer satisfaction, and sales efficiency gains
• Develop a digestible synthesis of the data to be presented to all stakeholders to support decision-making

Skills on Resume: 

• Master Data Management (Hard Skills)
• Data Cleansing (Hard Skills)
• Catalog Management (Hard Skills)
• EDI Operations (Hard Skills)
• Data Reporting (Hard Skills)
• Program Implementation (Soft Skills)
• Data Product Configuration (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary:

• Work across a diverse group of data consumers in the Market to identify and capture data requirements, associated ownership, definitions, transformations and controls using standard terms in the LM Data Dictionary
• Work with data producers to understand and catalog the data held in systems and how the needs of data consumers can be met
• Curate and prepare existing data assets, ensuring timely and accurate processing from a raw state to a trusted, validated and enriched state
• Capture and maintain records, reference data, rules, and processes for data cleansing, transformation, enrichment and data quality for curated data and specify requirements to data engineers
• Maintain the written Data Governance and Data Operations policies, standards, processes and guidance
• Produce key control indicator reports and perform and record root cause analysis on data quality issues
• Ensure incoming data feeds meet the quality and content standards necessary to support key products.
• Manage daily, weekly, and monthly processes & reporting around data feed functionality, data quality, and feed issue resolution.
• Provide feedback, suggestions for new features, and bug reports related to internal software applications.
• Interact with internal customers for general questions, troubleshooting, training, and research.
• Understand and maintain data security and confidentiality
• Perform occasional ad-hoc reporting to support various initiatives and decision-making.

Skills on Resume: 

• Data Requirement Gathering (Soft Skills)
• Data Cataloging (Hard Skills)
• Data Curation (Hard Skills)
• Data Quality Management (Hard Skills)
• Data Governance (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Data Feed Management (Hard Skills)
• Customer Support (Soft Skills)

Job Summary:

• Manage BAU data pipeline (systems that fetch and ingest incoming data into OpenCorporates) and ensure the smooth running of data operations (including ensuring the timely and accurate delivery of data to clients)
• Monitor the data environments (e.g. through dashboards and logs) to identify and escalate issues
• Diagnosing and resolving issues that occur, working with other team members in Data and Tech teams
• Participating in the design of new processes and dashboards to efficiently manage BAU tasks and allow us to see at a glance the current status of 200+ data feeds
• Working with the team to structure, systemize, automate and document data pipeline to ensure systems are scalable and reliable
• Making sure that internal stakeholders receive quality and timely status updates, issues are escalated promptly and queries are answered
• Work with colleagues to ensure that clients and users receive timely answers to questions about data
• Documenting these answers ensures that clients and users have the answers at fingertips
• Develop and maintain data ingestion tools and processes with a scalability mindset.
• Assist Client Solutions with onboarding new clients, including identifying required data feeds, understanding supply chain metrics and improving the overall implementation process.
• Investigate and resolve data pipeline issues, while ensuring data quality and consistency. 

Skills on Resume: 

• Data Pipeline Management (Hard Skills)
• Data Monitoring (Hard Skills)
• Issue Resolution (Hard Skills)
• Process Design (Hard Skills)
• Automation (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Client Support (Soft Skills)
• Data Ingestion Development (Hard Skills)

Job Summary:

• Research and resolve reporting questions from internal and external counterparties
• Work with internal stakeholders to ensure data integrity of daily reporting, automation and customization
• Conduct hands-on data mining and analysis to identify issues and improve operational processes
• Assist with a variety of activities related to the daily operations of the servicing team
• Enhance business operations by driving the creation of policies and procedures both internally and with third-party servicer
• Assess current operations and propose enhancements to strengthen the program
• Communicate issues and recommendations to the Business and Compliance Teams Validate issues and perform remediation testing to ensure compliance 
• Work with engineering to create automated performance monitoring and reporting
• Track the progress of various work streams and communicate status to Business and Compliance Teams Manage pieces of operational workflow and look to improve them by providing scalable solution
• Communicate technical details and business impacts directly to customers.

Skills on Resume: 

• Reporting Resolution (Hard Skills)
• Data Integrity Management (Hard Skills)
• Data Mining (Hard Skills)
• Operational Support (Soft Skills)
• Policy Development (Hard Skills)
• Process Enhancement (Soft Skills)
• Compliance Validation (Hard Skills)
• Technical Communication (Soft Skills)

Job Summary:

• Support the Sales Operations team in the preparation of RFPs
• Assist the Sales Operations and wider Sales teams on RFP tool
• Work with management to upload, contribute to, and extract data from Sales Operations applications
• Collect, interpret and analyze specific market, sales, and financial data
• Contribute to the overall data management strategy
• Maintain and participate in the development of the tools
• Build and maintain regular reporting to specific deadlines
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Work with the Sales Operations and wider teams on ad hoc tasks relating to the Sales Operations function

Skills on Resume: 

• RFP Preparation (Hard Skills)
• Sales Operations Support (Soft Skills)
• Data Management (Hard Skills)
• Data Analysis (Hard Skills)
• Tool Maintenance (Hard Skills)
• Reporting (Hard Skills)
• Trend Analysis (Hard Skills)
• Process Improvement (Soft Skills)

Job Summary:

• Managing the development of processes and driving changes to enhance the Reward Scheme. 
• Support Contact Centres by providing reward schemes and fulfillment support, guidance and advice by answering customer inquiries on reward entitlements based on the customer's product portfolio. 
• Work with the Senior Analysts in CDO to deliver appropriate customer offers and promotions. 
• Champion the importance of data quality. 
• Identify opportunities to improve the accuracy of customer data (e.g. marketing preferences, customer contact data, etc.)
• Drive forward practical, robust solutions to maximize the accuracy of data assets. 
• Interrogate customer, product and transaction data, identifying inconsistencies in the data warehouse. 
• Ensure all documentation is up to date and proportionate to business requirements e.g CDO Work Instructions
• Identify, support and document business processes and data flows
• Collaborate with Engineering and Product to design scalable data solutions to recurring challenges.

Skills on Resume: 

• Process Management (Hard Skills)
• Customer Support (Soft Skills)
• Promotion Delivery (Hard Skills)
• Data Quality Advocacy (Soft Skills)
• Data Accuracy Improvement (Hard Skills)
• Data Interrogation (Hard Skills)
• Documentation Management (Hard Skills)
• Scalable Solution Design (Hard Skills)

Job Summary:

• Support the highest level of data quality by monitoring and analyzing data for completeness and accuracy
• Create, update, and standardize table definitions for all major data sources
• Reviewing, documenting, and sharing new data tables and how to use them
• Identify discrepancies and defects, alert teams of issues, troubleshoot and implement corrective actions, and improve auditing capabilities
• Create dashboards to identify potential data issues or unusual trends
• Manage data flows from partners and ensure quality and completeness of data received
• Collaborate with the data engineering team to perform extensive data validations on data model changes and new data ingestions
• Collaborate with business teams to understand data needs, and drive requirements and development of data pipelines
• Analyze large data sets across many data sources
• Surface actionable analytical insights to improve technical system implementations and automate processes

Skills on Resume: 

• Data Quality Monitoring (Hard Skills)
• Table Definition Standardization (Hard Skills)
• Documentation (Hard Skills)
• Issue Troubleshooting (Hard Skills)
• Dashboard Creation (Hard Skills)
• Data Flow Management (Hard Skills)
• Data Validation (Hard Skills)
• Analytical Insight Development (Hard Skills)