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Investment Data Quality Analyst
Thrivent Financial
Minneapolis, MN, United States
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Summary
• Do you like solving problems where the solution isn’t readily apparent?
• Are you passionate about tying business, data, and systems together?
• Do you want to be part of an impactful division in a Fortune 500 company?
The Investment Data Quality Analyst/Sr. Investment Data Quality Analyst (DQA) plays a critical role in maintaining the quality and integrity of a highly complex data environment. This includes data quality monitoring, rule creation, data maintenance, and reporting. As a DQA, you will also conduct data quality root cause analysis on data sets and lead remediation efforts to fix source systems, databases, or data movement procedures. You will also be responsible for profiling new data sets, maintenance of reference data, and working with other analysts to develop and document new rules. You will research and recommend strategic solutions to recurring or thematic challenges. Additionally, you will work with data stewards to coordinate issue resolution, assess data flows, and document information about critical data assets.
• Build strong working relationships by collaborating across multiple teams, business platforms, and functions to achieve desired solutions for mastered securities and portfolios, common reference data, and operational data hub
• Develop and document data quality rules to ensure data accuracy, validity, reliability, timeliness, relevance, and completeness
• Ensure the right decision support information is available for traders, portfolio managers, and research analysts
• Translate business functional design requirements into technical solutions through the design, development, integration, and testing of master data solutions
• Engage with data stewards to collect and verify business definitions of data and determine context, sourcing, and use of that data
• Ensure there is a consistent standard business glossary and data dictionary for each data subject area
• Be on forefront of helping form the Data Quality practice; with key objectives surrounding the implementation of a new enterprise data management platform in an agile environment
Traits we value:
• Collaboration - You are able to win the trust of others and help your team problem solve
• Analysis - You are able to gather information and drive to solutions.
• Fostering relationships - You interact and build strong relationships with key stakeholders.
• Change influencer - You have the ability to work with partners to enact change.
• Innovative mindset - You are open to new and better ways of doing things. You like to stay on forefront of technology and industry thinking.
• Detail orientation -
• Big picture thinking - You understand the end to end process and data flows through the organization and are able to determine impact of decisions.
What we want from you:
• Bachelor’s degree in Business, Finance, Mathematics, or Information Systems
• Understanding of investment securities
• Knowledge and passion toward accurate and trustworthy data
• Previous experience with Bloomberg, FactSet, Tableau, Markit EDM and overall market data providers is preferred
• Minimum of 5-7 years of experience in business, systems or data analysis; or as a key business resource on systems projects, in the asset management industry.
• Clear thinker who can seek out and identify key data themes and distill the findings into an actionable strategy and solution.
• Excellent communication and presentation skills, in order to explain the results of data analysis to business and technical users.
• Strong analytical skills with the ability to identify, quantify, and effectively raise business risks associated with data quality issues, a sense of urgency and commitment to accuracy, and the ability to handle ambiguity.
• Innovative problem-solving skills with an aptitude to think “outside the box” when investigating solutions for unstructured problems.