• Develop detailed analysis and insights into customer buying behavior, acquisition, perception, retention, and preferences
• Leverage advanced analytical analysis to provide data-driven insights
• Help the business make better and fact-based decisions
• Connect different data points coming from various data sources, research, and business data into the big picture
• Collect business requirements and ask probing questions in order
• Understand business needs and how they relate to key performance measurements
• Translate customer data into actionable insight for the marketing teams
• Formulate the right business questions to be resolved through data analysis
• Support in the development and roll-out of customer satisfaction surveys
• Consult the organization with findings and continuous improvement actions

Skills: Customer Behavior Analysis, Data-Driven Insights, Decision Support Analytics, Data Integration, Business Requirements Collection, Business Needs and KPI Understanding, Actionable Insights Translation, Business Question Formulation, Customer Satisfaction Survey Development, Organizational Consultation and Continuous Improvement

• Collaborate with IT and Business partners to determine development needs
• Develop customizations for 3rd party tools and help integrate them into the group
• Develop dashboards, databases, and reports based on business needs and requirements
• Interpret written business requirements and technical specification documents 
• Design and implement executable code solutions following business needs
• Accountable for delivery on time and within a budget that meets or exceeds quality standards
• Maintain working knowledge about emerging technologies
• Use a data-driven approach and analysis for design experiences
• Bring new and innovative ideas to the table to question the norm of how things are done
• Demonstrate in-depth technical capabilities and professional knowledge in the digital analytics industry

Skills: Collaboration, Customization Development, Dashboard and Database Development, Requirement Interpretation, Executable Code Solutions, Knowledge of Emerging Technologies, Data-Driven Approach, Innovation

• Collaborate with business stakeholders, external vendors, and government entities
• Resolve all the reported and operational incidents
• Perform root cause analysis, and review sources to target data specification documents
• Troubleshoot complex SQL statements and test technical changes
• Writing and executing appropriate test plans based on the level of complexity of the solution
• Contribute to remediation planning and implementation
• Review requirements, technical specifications, and data models
• Update appropriately based on the final remediation
• Document service tickets, and ensure technical documentation is consistent with technical implementation
• Use standard data tools to fully profile data
• Monitor Servicer reporting, cash flow, and credit risk mitigation

Skills: Stakeholder Collaboration, Incident Resolution, Root Cause Analysis, SQL Troubleshooting, Test Planning and Execution, Remediation Planning and Implementation, Requirements Review, Documentation Management

• Understand the source and target data structures
• Recreate incidents and analyze the impact on the business and downstream data processes
• Complete impact assessments and ad hoc analyses
• Ensure that production issues and other reported deficiencies are adequately understood and resolved
• Identify processes and workflows that are prone to failure and recommend solutions
• Reduce impact on downstream data processes, external data submissions, and Quartz business
• Collaborate with ICT teams to provide the necessary configuration of the internal and external tools and platforms
• Collaborate with various stakeholders in the company and deliver data to achieve operational excellence
• Implement the required database changes
• Monitor the deadlines of specific deliveries
• Perform assigned adjustable rate mortgage changes and quality reviews

Skills: Data Structure Understanding, Incident Recreation and Analysis, Impact Assessment and Ad Hoc Analysis, Problem Resolution, Process Improvement, Collaboration, Database Management, Deadline Management

• Support and monitor the timely delivery of research
• Maintain close communication with several research teams
• Support the client relations team by providing information related to the research entities existing in products
• Research products and plan research according to client’s needs. 
• Collaborate with colleagues from all over the world to ensure timely support for the company’s clients and prospects
• Assist in defining and executing the test plans
• Support user's acceptance testing for process enhancements
• Match legislative stakeholders shared by clients to data for use with internal data integration tools
• Use a point-and-click scraping tool to build and maintain web scrapers by using XPaths with this tool
• Audit list of source websites for various datasets to ensure that data is up-to-date

Skills: Research Project Management, Team Communication, Client Support, Client-Centric Research Planning, Global Collaboration, Test Planning and Execution, Data Integration and Matching, Web Scraping and Data Auditing

• Process timely daily operational tasks and helpdesk requests from consumers
• Identify data issues perform root cause analysis and resolve to improve data quality on time
• Work with business partners and systems partners to resolve
• Assist in documentation and transition of new areas of work
• Maintaining and updating procedural documents
• Propose process enhancements for the efficient, accurate, and timely completion of all activities
• Assist in the operation tasks/helpdesk/ad-hoc requests from straightforward to complex
• Support and coach colleagues, identify and address training gaps
• Monitor the helpdesk queue, and raise issues to the manager for resolution
• Participate in data management projects/initiatives that aim to improve the quality of the data

Skills: Time Management, Problem Solving and Analysis, Collaboration, Documentation, Process Improvement, Technical Support, Training and Coaching, Issue Monitoring and Reporting

• Interpret raw data and use analysis skills and tools to come to meaningful conclusions and develop actionable insights
• Write reports based on their findings and communicate findings to key team members
• Analyze data and dashboards to ensure data is clean and accurate
• Collect data and work to understand problems within the Division and identify solutions
• Create and maintain dashboards within Tableau and Excel
• Examine data sets and create visual charts to identify trends and correlations
• Use algorithms and predictive models to create better processes
• Work with the product owner, engineering, and project management teams to provide data subject matter expertise
• Work with the latest database technologies (SQL, UNIX, Linus, XML, HPCC)
• Work with Tableau/Power BI to visualize data and present via dashboards

Skills: Data Interpretation and Analysis, Report Writing and Communication, Data Quality Assurance, Problem Identification and Solution Development, Dashboard Creation and Maintenance, Data Visualization, Predictive Modeling and Algorithmic Analysis, Data Expertise Collaboration

• Experience in data processing and data mining with a wide variety of data and formats
• Excellent knowledge of statistical techniques
• Good communication, presentation, and story-telling skills
• Able to resolve differences through a logical approach
• Able to handle both structured and unstructured data (i.e. Portage SQL MySQL Redis CouchDB etc.)
• Excellent knowledge of MS Excel analytics
• Able to code in Python and related toolsets
• Strong interest in the LSM segments (developing countries, low-income markets, etc.) and agriculture in general
• Comfortable working with tools such as AliCloud, GitLab, GitHub, Jenkins, Jira, Docker
• Be agile, lean, self-organization, and transparency

Qualifications: BA in Computer Science with 4 years of Experience

• Knowledge of Computer Science, MIS, CIS, or a related field
• Experience in programming in Java
• Working experience with a large-scale data analytics platform like Tableau, Hadoop, Alteryx, MongoDB, Splunk, Grafana, Prometheus, Denodo, DirectAccess, Oracle Suite and/or similar programs
• Understand a basic relational database model
• Have a relatable project or internship experience working with other group members
• A solid understanding of the software development life cycle and software methodologies
• Have strong problem-solving and creative 
• Have the ability to think outside of the box
• Must have a customer-centric, service-oriented architecture

Qualifications: BA in Statistics with 3 years of Experience

• Experience in a quantitative field
• The ability to judge and quantify the results of advertising
• Have data visualization experience using R, Python, Tableau, Power BI, Google Data Studio, or any other business analytics software
• Have experience with SQL and working with large datasets
• Must have a basic competency with R/Python or an interest in learning
• Have advanced proficiency in Excel (pivot tables, V-lookups, graphics).
• Have strong verbal and written communication skills
• Have strong analytical skills, and be detail-oriented
• Be able to interface with, communicate with, and present to high-level executives in a professional manner
• Ability to perform data analysis/research via SQL

Qualifications: BS in Data Science with 2 years of Experience

• Experience in operations and knowledge of operating within the financial services industry
• Experience with various types of investment vehicle data
• Ability to utilize industry research tools to procure company-specific data
• A deep knowledge of MS Office tools and the ability to practically apply that knowledge
• Be comfortable with autonomy and functioning without close supervision
• Able to combine analytical thinking and personal confidence
• Having superb communication skills (both written and verbal)
• Have strong interpersonal and relationship management skills
• Able to think out of the box and strive for continuous improvement
• Have the ability to balance priorities on simultaneous initiatives

Qualifications: BS in Business Analytics with 3 years of Experience

• Understanding of securities, mutual funds, managed accounts, blends, indices, and composites, across various subject areas
• Working experience in SQL and experience with tools
• Respond to a dynamically changing work environment and positively influence business outcomes
• Strong project management, analytical, and problem-solving skills
• Be detail-oriented with strong organizational skills
• Must have the accuracy and attention to detail
• Ability to work expertly with various vendors/business partners across the organization
• Passionate collaborator with a focus on what is best for the team
• Be enthusiastic about problem-solving
• Have excellent oral and written communication skills

Qualifications: BA in Economics with 4 years of Experience

• Knowledge of STEM (All Sciences, Technology, Economics or Maths)
• Foundational technical skills (e.g., Python, SQL, UNIX, Linux, XML, HPCC)
• Interest/Exposure to AWS/Azure and associated data tools
• A clear focus on the customer, both internal and external
• Working experience in the investment industry
• Exceptional communication, both verbal and written skills
• Detail-oriented, results-oriented with strong organizational skills
• Excellent critical and strategic thinking skills, multi-tasking skills
• Must be able to quickly gather and analyze data
• Ability to build relationships, both internally and with clients
• Proficiency with Microsoft Office (specifically Excel, Word, and PowerPoint)
• Experience with Advent software products (Axys, APX)

Qualifications: BA in Information Technology with 5 years of Experience

• Knowledge of mathematics, information systems, statistics, marketing, and business
• Experience with Google Analytics, GA Data Studio, Adobe Analytics, and BrightEdge
• Demonstrated advanced Excel and/or Power BI
• Experience analyzing large online and offline datasets
• Capable of delivering contextual, thoughtfully presented, visual output and presenting to management/leadership
• Strong understanding of website tagging methodology as it relates to data quality assurance
• Exceptional communication skills
• Strong ability to listen and understand the question and develop and deliver clear insights
• Past involvement with website optimization
• Proven proficiency working with Microsoft Office Suite.
• Must be a self-starter with energy and enthusiasm toward a team environment

Qualifications: BA in Applied Mathematics with 4 years of Experience