ComplyAdvantage
financial crime
DataInvestigationsAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Investigations Analyst at ComplyAdvantage. Skills: Data Governance, Data Quality, Data Remediation, Root Cause Analysis, Data Cataloguing, Data Retention, Data Culture, Communication, Persuasion, Facilitation, Project Management. Investigate data quality issues, including root cause analysis, quantification and proposed remediation. Support data stewards to define and create data quality and business rules (e. g. thresholds)”
Industry & Context.
Investigate data quality issues, including root cause analysis, quantification and proposed remediation; Support the resolution of data quality issues; Facilitate remediation action where issues exist in the data; Outline fix forward action to prevent recurrence
What They're Looking For.
Must Have
Data Quality Investigate data quality issues, including root cause analysis, quantification and proposed remediation, Support data stewards to define and create data quality and business rules (e. g. thresholds), Support data stewards to build DQ dashboards and reporting at the domain level, Be responsible for engaging business users with new data quality tool and helping them understand its uses and benefits, Be responsible for defining best practices in the measurement and remediation of data quality issues, Be responsible for cross-domain monitoring of data quality, spotting inconsistent approaches, and engaging with data stewards as needed, Support the resolution of data quality issues, Facilitate remediation action where issues exist in the data, Outline fix forward action to prevent recurrence, Support the training of relevant colleagues on preventing recurrences, Support data stewards in the documentation of our product, client, and business data into the glossary and dictionary, across all domain areas, Support data stewards to define data retention rule sets, working with DPO, Legal, and Product, Monitor and track TM and CSOM remediation projects, Work closely with data domains in a federated model to build awareness and appreciation of our data, Support with local issues and projects to improve our data, Gain local domain knowledge and expertise, Champion the right culture and behaviours regarding our data, Support data owners and stewards to build our data culture and improve data literacy across domains, Work with Stewards to identify relevant local initiatives and processes into which to embed best practice, Identify any domain-specific issues in roles and responsibilities or resourcing that inhibit our data culture, Identify any training needs within domains and support matching to L&D solution (training course, mentoring, cross-domain expertise sharing, etc)
Nice to Have
Experience in data quality measurement and remediation, Experience in a business partnering/engagement role, Experience in change or project environments, where priorities can shift and processes are not fully defined, Experience in DG roles/teams is helpful but not mandatory
What You'll Do.
Investigate data quality issues
including root cause analysis
quantification and proposed remediation
Support data stewards to define and create data quality and business rules (e. g. thresholds)
Support data stewards to build DQ dashboards and reporting at the domain level
Engage business users with new data quality tool and helping them understand its uses and benefits
Define best practices in the measurement and remediation of data quality issues
Cross-domain monitoring of data quality
spotting inconsistent approaches
and engaging with data stewards as needed
Support the resolution of data quality issues
Facilitate remediation action where issues exist in the data
Outline fix forward action to prevent recurrence
Support the training of relevant colleagues on preventing recurrences
Support data stewards in the documentation of our product
and business data into the glossary and dictionary
across all domain areas
Support data stewards to define data retention rule sets
Monitor and track TM and CSOM remediation projects
Work closely with data domains in a federated model to build awareness and appreciation of our data
Support with local issues and projects to improve our data
Gain local domain knowledge and expertise
Champion the right culture and behaviours regarding our data
Support data owners and stewards to build our data culture and improve data literacy across domains
Work with Stewards to identify relevant local initiatives and processes into which to embed best practice
Identify any domain-specific issues in roles and responsibilities or resourcing that inhibit our data culture
Identify any training needs within domains and support matching to L&D solution (training course
cross-domain expertise sharing
How You'll Work.
Team & Collaboration
Work across the business, helping to solve one of our most fundamental challenges; Engaging business users with new data quality tool and helping them understand its uses and benefits; Cross-domain monitoring of data quality, spotting inconsistent approaches, and engaging with data stewards as needed; Support data stewards in the documentation of our product, client, and business data into the glossary and dictionary, across all domain areas; Work closely with data domains in a federated model to build awareness and appreciation of our data; Support data owners and stewards to build our data culture and improve data literacy across domains; Work with Stewards to identify relevant local initiatives and processes into which to embed best practice; Support matching to L&D solution (training course, mentoring, cross-domain expertise sharing, etc)
Communication Scope
Communicating across the business with partnered data owners and stewards; Clearly being able to describe what we are doing and why it will be important; Clear communication will be necessary to help establish quality measurement, understand the root causes of issues, and collaborate on resolutions; Communication with senior data leadership on progress across domains, blockers, and next steps will help us keep progress on track
Process & Methodology
Managing deadlines, Coordinating work, Identifying risks and issues
Full Job Description
What you will be doing: The Data Governance Investigations Analyst will support the senior data leadership and Data Stewards in improving the quality and oversight of our data. This role is critical in establishing our ability to manage our data to maximise its value, improve client outcomes and enhance our regulatory compliance. This is an exciting time to join the team as we mobilise our data governance approach across ComplyAdvantage. We are defining our processes, onboarding new enterprise-grade tooling, and defining and rolling out key roles and responsibilities company-wide. You will be able to help design these and set out what good looks like. You will have the opportunity to work across the business, helping to solve one of our most fundamental challenges. As a Data Governance Investigations Analyst, you will be responsible for the delivery of key governance components: Data Quality Investigate data quality issues, including root cause analysis, quantification and proposed remediation Support data stewards to define and create data quality and business rules (e. g. thresholds) Support data stewards to build DQ dashboards and reporting at the domain level Be responsible for engaging business users with new data quality tool and helping them understand its uses and benefits Be responsible for defining best practices in the measurement and remediation of data quality issues Be responsible for cross-domain monitoring of data quality, spotting inconsistent approaches, and engaging with data stewards as needed Data Remediation Support the resolution of data quality issues Root Cause Analysis Facilitate remediation action where issues exist in the data Outline fix forward action to prevent recurrence Support the training of relevant colleagues on preventing recurrences Data Cataloguing Support data stewards in the documentation of our product, client, and business data into the glossary and dictionary, across all domain areas Data Retention Support data stewards t
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