Data Management Associate

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Billigence

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Billigence is a data-focused company that specializes in advisory services, training, and solutions to empower businesses with data. They offer services in data governance, data visualization, data science, AI, and more, providing tools and insights to help businesses harness their data's full potential. With a strong focus on data strategy and governance, Billigence partners with leading technology platforms like Snowflake, Alteryx, and H2O. ai to deliver bespoke solutions tailored to customer needs across various industries. Their expertise extends across telecommunications, media, and financial services, ensuring clients can navigate complex data landscapes efficiently.

📋 Description

• Gather, analyse and document business, functional and data requirements through stakeholder workshops, interviews and collaborative sessions • Profile and analyse datasets to identify data quality issues, including duplication, completeness, consistency and integrity gaps, and perform root-cause analysis • Define and run validation and completeness checks, tracking data quality against agreed metrics and thresholds • Coordinate resolution of data issues with source-system and engineering teams, including cleansing, de-duplicating and reconciling records • Support maintenance of master and reference data by applying agreed standards for key entities • Act as domain data steward and point of contact for data meaning, origin and usage • Maintain the data catalogue and business glossary, keeping definitions, ownership and business context current • Document data lineage and flows across source systems, stores and reporting layers • Produce data dictionaries, standards, process notes and how-to guides • Contribute to data quality reporting and recommend improvements to controls and processes • Apply and help enforce data governance policies covering access, retention, classification and privacy, supporting audit requirements • Partner with engineering, product, BI and business teams to embed quality and governance requirements early in delivery • Support and mentor data stewards, sharing knowledge and raising data literacy across teams

🎯 Requirements

• Typically 2–4 years of experience in data management, data quality, data governance, data analysis or data operations • Experience delivering large-scale data management initiatives across a complex data landscape • Demonstrable experience with data profiling, cleansing, reconciliation and root-cause analysis • Understanding of data governance concepts including stewardship, master and reference data, metadata, lineage, classification and data privacy including GDPR • Strong requirements gathering and workshop facilitation skills • Ability to translate business needs into clear, traceable documentation • Confidence working with spreadsheets and data at scale, with meticulous attention to accuracy and detail • Clear written and verbal communication for technical and non-technical audiences • Collaborative, proactive approach and ability to manage several workstreams independently • Desirable experience with Collibra, Alation, Informatica, Microsoft Purview or similar tools • Familiarity with cloud data warehouses, dbt and ETL/ELT tooling • Exposure to Power BI, Tableau or Looker and self-service analytics • AI fluency, including use of AI tools and enabling trustworthy data assets for AI use cases • Scripting experience for data tasks, such as Python • Experience in data management within a regulated industry is desirable • A relevant degree or professional data qualification such as DAMA/CDMP is desirable