• Managing day-to-day operations between data providers, data systems and internal/external stakeholders.
• Curate data from multiple sources and upload monthly and quarterly data for external performance reporting.
• Serve as a front-line contact for technology and data delivery support issues related to team activities.
• Monitoring daily inbound and outbound data feeds/flows.
• Primary administrator for requests and inquiries regarding investment-related data.
• Support Russell Investments universes including but not limited to index, security, performance, and pricing data, which includes initial configuration, ingestion, and distribution of data within enterprise data solutions.
• Serve as a global reference data steward for Russell AUM products, ensuring effective governance, quality control, and completeness of reference data globally.
• Manage the initial account setup and configuration across tools, vendors, and various applications.
• Work with the vendor(s), data providers, and Russell IT associates to manage data changes
• Create and maintain support documentation including workflow diagrams, checklists, and procedures.
• Assist in developing service standards and team KPIs.

Skills: Data Management, Stakeholder Engagement, Data Governance, Technical Support, Data Flow Monitoring, System Configuration, Documentation Creation, KPI Development

• Use analysis, facilitation and communication skills to lead the resolution of issues/incidents, coordinate the effort and provide timely and accurate communication to all impacted parties
• Work closely with support engineers in root cause analysis and prevention/mitigation of future occurrences
• Prioritize and escalate issues to the appropriate teams
• Analyze, contribute to and improve ongoing processes and workflows (i.e, analysis of CAWLA scheduling and promotion of changes
• Manage the production environment by monitoring availability and taking a holistic view of system health
• Measure and optimize system performance, with an eye toward pushing capabilities forward, getting ahead of customer needs, improving reliability, and innovating to continually improve
• Manage and coordinate team workload and tasks using Jira and Service Now
• Identify toil activities and remove them through automation or elimination.
• Reporting on items such as application availability, performance and re-occurring incidents and problems helps the leadership team to remain in the know and helps the greater team make informed decisions
• Understanding of when to engage appropriate partners (internal or external vendors) to resolve operational issues or plan parallel work streams when possible

Skills: Incident Resolution Leadership, Root Cause Analysis, Issue Prioritization and Escalation, Process Improvement, System Health Management, Performance Optimization, Workload Coordination, Operational Reporting

• Gather and input data from banks, financial institutions, external data vendors and clients, including exploration of data sources, into the company’s tools and related software applications.
• Run and analyze the data processing and calculations that feed the firm's data environment.
• Standardize data from multiple sources for input into a centralized database, troubleshoot and improve processes and integrations.
• Identify, research and resolve issues involving data errors during data processing and calculations, and coordinate with other teams such as IT, support and development to resolve any data processing or client issues.
• Analyze data from potential data providers.
• Publish documentation designed to inform and assist clients and prospects in understanding the company’s data offerings.
• Provide customer support/feedback to banks/clients/financial institutions/internal clients and feedback to external data vendors
• Work closely with internal and external data partners on contractual, service and usage issues.
• Regularly report data and technical issues to data providers.
• Provide internal support to the company’s staff regarding daily data processing and calculations.

Skills: Data Gathering and Input, Data Processing Analysis, Data Standardization, Issue Resolution, Data Provider Analysis, Documentation Publishing, Customer Support, Reporting and Communication

• Provide constructive feedback and assistance to management, IT, support and application development teams on existing and new data processing systems and products.
• Provide support to exploratory data science/analytic projects and create new metrics in reports
• Provide support to data engineering and product development projects
• Review changes relating to configuration, provisioning and maintenance of software/platform components
• Provide approval or work with the requestor to obtain whatever is needed to get approval then communicate to team(s) impacted
• Demonstrate an understanding of key data management principles and data use
• Develop new scripts/processing procedures in a variety of programming languages
• Work closely with related groups to ensure business continuity
• Report quality control issues to management.
• Work as a member of one or more agile teams, using lean principles and SCRUM methodology

Skills: Constructive Feedback, Support for Data Science Projects, Collaboration with Data Engineering, Configuration Review, Approval Management, Data Management Principles, Script Development, Agile Methodology

• Creating and automating KPIs, metrics and reports for all Operations departments
• Develop and maintain reports in Power BI to provide new insights to drive business decisions
• Working closely with Software developers in the development and deployment of HANA views, SQL tables, setting up APIs and other dataflows by defining requirements and testing
• Initiating quality data improvements in the use of web apps, SAP and other software tools by identifying outliers in the data and analyzing trends
• Conducting research and investigating existing business processes to identify bottlenecks and make them visible in data representation tools, like PowerBI, Excel, Visio and others.
• Communicating findings in an effective and efficient manner to customers and users.
• Develop and implement improvement proposals using data-driven frameworks
• Advocate for the use of data-driven methodologies
• Participate in interdepartmental process improvements and projects as Subject Matter Expert for data analysis
• Profile data and perform analysis on large datasets to make and implement recommendations for maximizing use of the data to improve the quality of the US database

Skills: KPI Creation and Automation, Power BI Reporting, Collaboration with Software Developers, Data Quality Improvement, Business Process Investigation, Effective Communication, Data-Driven Improvement Proposals, Data Profiling and Analysis

• Strong analytical and problem-solving abilities
• Knowledge of or interest in alternative investment products, including hedge funds, private equity funds, structured products, and complex capital and investment structures
• Strong PC skills with an emphasis on Excel, Word and PowerPoint.
• Knowledge of SAP, and other financial planning systems.
• Strong analytical and communication skills and be detail-oriented.
• Effective communication skills, both written and oral
• Ability to analyze and resolve complex data environments and related issues
• Proficient in Excel, Word, and PowerPoint
• Reporting / Dashboard capabilities
• Strong MS-Access and other DBMS skills
• Effective presentation skills
• Knowledge of SQL and Python

Qualifications: BA in Data Management with 3 years of Experience

• Experience in taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
• Experience in building partnerships and working collaboratively with others to meet shared objectives
• Experience in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Experience in building strong customer relationships and delivering customer-centric solutions
• Experience in creating a climate where people are motivated to do best to help the organization achieve its objectives
• Experience in consistently achieving results, even under tough circumstances
• Experience in handling conflict situations effectively with minimal noise
• Significant operational data management experience within the financial services sector
• Advanced knowledge of securities, product and client data
• Experienced in data operations approaches, and quality practices in large financial organization(s)
• Experience within the financial services industry

Qualifications: BS in Business Analytics with 5 years of Experience

• Understand the technical nuts and bolts enough to pull, clean, and analyze data with a bias toward action
• Know how to work with others and leverage analytical frameworks to find them together
• Strong SQL experience with the ability to write complex queries from relational databases and combine data from multiple data sources
• Strong data management skills, such as transforming raw data files, data cleaning, handling missing values, etc
• Experience designing and improving data processes
• Advanced analytical skills using complex data sets
• Excellent verbal and written communication skills
• Experience working cross-functionally
• Experience leading data projects from inception through execution
• Experience prioritizing and executing on multiple tasks simultaneously

Qualifications: BA in Computer Science with 3 years of Experience

• Familiarity with one or more data analysis tools, whether it’s through programming (e.g. pandas, dplyr), database querying, or spreadsheets
• Experience in communicating technical knowledge to both technical and non-technical audiences.
• Comfortable transforming unstructured instructions into repeatable, scalable solutions.
• Experience in a B2B customer-facing role with technical knowledge.
• Experience with B2B software implementation lifecycle.
• Familiarity with supply chain and logistics fundamentals, including inventory planning and demand fulfillment.
• Experience in a data management, analytics, or data-centric customer-facing role, preferably in a fast-paced, startup environment in a health tech, pharma tech, e-commerce or marketplace venture-backed business
• Technical skills include advanced knowledge of spreadsheet tools such as Microsoft Excel or Google Sheets
• Knowledge of database languages such as SQL, R, or Python, and data visualization software such as Tableau or Qlik
• Experience with product master-specific implementations in the context of large ERP or supply chain platforms is preferred
• Experience extracting, transforming, and loading of pharmacy data
• Experience handling multiple projects while successfully meeting project deadlines

Qualifications: BS in Information Systems with 5 years of Experience

• Able to work cross-functionally with implementation and operations teams
• Able to set, maintain, and communicate a program-driven data scheduled
• Able to pull data and have manipulation skills, including proficiency in SQL, Python, or a parallel language
• Able to solve problems, create solutions and work independently
• Able to drive efficiencies through creativity in problem-solving
• Proactive/Good communicator/Culture fit
• Able to/desire to work in a fast-paced environment
• Good knowledge of product specifications and rates, mail operations and mail.
• Good knowledge and ability to apply up-to-date techniques and practices in data collection, analysis, reporting and statistical analysis.
• Background in production management reporting/cost accounting/statistical analysis.
• Superior database management.
• Good understanding of MS Excel, MS Access, SAP R3 and SAP BW.
• Familiarity with Lean Manufacturing.

Qualifications: BA in Operations Research with 4 years of Experience