Role Description We are seeking a detail-oriented Data Governance Analyst to support the day-to-day execution of our taxonomy, rules, and reference data framework. This role turns governance standards into working artifacts — authoring and maintaining taxonomies, business term definitions, and data rules in our governance platform, and keeping them accurate, consistent, and free of conflict as the organization scales. You will be the hands-on engine behind the governance function, working closely with the Senior Data Governance Lead, Data Operations, and the Reference Data team to maintain the rule and taxonomy libraries that drive classification and data quality. This is a high-ownership, execution-focused role for someone who values structure and precision and wants to see governance standards actually used in production rather than living only as documentation. Responsibilities - Author, maintain, and version taxonomies, business term definitions, and classification hierarchies in the governance platform. - Translate approved governance decisions into structured, testable data rules and apply rule IDs consistently across taxonomies. - Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review. - Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable. - Support intake and triage of new rule and definition requests from Data Operations and business stakeholders. - Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions. - Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently. - Assist in preparing governance reporting, dashboards, and stakeholder updates. Success in this role will be measured by: - Rule & Taxonomy Integrity – Low and declining rates of duplicate, conflicting, or orphaned rules and definitions. - Coverage – Measurable progress against taxonomy and reference data coverage targets across tiers. - Turnaround – Timely, accurate processing of rule and definition requests within agreed SLAs. - Traceability – Complete, auditable change history and documentation for governed artifacts. - Usability – Stewards and analysts can apply standards from documentation without repeated escalation. - Operationalization – Authored rules and definitions are actively used in classification and quality workflows. Qualifications - 2–5 years of experience in data governance, data management, data quality, analytics, or data operations. - Hands-on experience maintaining taxonomies, controlled vocabularies, business glossaries, or rule libraries. - Strong attention to detail and comfort working with structured data, spreadsheets, and governance tooling. - Ability to translate governance decisions into precise, consistent, testable rules. - Comfort with ambiguity and evolving standards in a maturing governance environment. - Familiarity with data quality dimensions (accuracy, completeness, consistency, timeliness). - Exposure to DAMA / DMBOK concepts a plus. - Clear written and verbal communication skills. Company Description At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status. We are also committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at careers@mediaradar.com. We’re excited to meet people who share our values and want to build the future with us.

Role Description We are looking for a detail-oriented Data Analyst to strengthen data quality across our Platform Business Unit. In this role, you will work closely with analysts, engineers, product teams, and business stakeholders to ensure the reliability, consistency, and transparency of data. The position combines analytical investigation, process improvement, and cross-functional collaboration, helping teams make confident decisions based on trusted data. - Own and improve data quality within the Platform Business Unit by identifying, analyzing, and helping resolve data-related issues. - Partner closely with analytics teams as primary stakeholders, gathering requirements, investigating incidents, and identifying root causes of data discrepancies. - Develop and maintain data quality processes, including automated checks, monitoring systems, alerts, and regular validation of key datasets and business metrics. - Analyze data sources, pipelines, and data marts to identify weaknesses in calculations, transformations, and data loading processes. - Create and maintain comprehensive data documentation, including table descriptions, metric definitions, calculation logic, data sources, and ownership information. - Support analytics teams by improving data accessibility and understanding, explaining data structures, limitations, and calculation methodologies. - Contribute to the development of a strong data quality culture by establishing standards, governance practices, and transparent incident management processes. - Collaborate with data engineers, backend developers, product teams, and business analysts to improve data reliability and consistency across the organization. Qualifications - At least 3 years of experience as a Data Analyst, Product Analyst, Data Quality Analyst, or in a similar analytical role. - Strong SQL skills with the ability to independently investigate complex queries, data marts, and relationships between datasets. - Solid understanding of data warehouse architecture, ETL/ELT processes, and the end-to-end data lifecycle. - Experience working with BI platforms such as Tableau, Power BI, Superset, Looker, or similar tools. - Ability to investigate data discrepancies and trace issues from business metrics to specific sources, transformations, or pipelines. - A structured mindset, strong attention to detail, and a passion for improving data quality, documentation, and operational processes. - Strong communication skills and experience collaborating with analysts, engineers, product managers, and business stakeholders. - Experience with Python will be considered an advantage. - Experience with Airflow, GitLab, dbt, or similar tools will be a plus. - Previous experience in technology companies or product-focused environments will be beneficial. Benefits - Remote-first company — work from anywhere in the world. - Fully flexible working hours. - Extended time off: 20 paid vacation days + 12 bonus days per year. - 100% paid sick leave. - Paid English lessons (iTalki). - Professional growth support (courses, certifications, training programs). - Real impact and ownership in fintech & crypto projects. - Corporate benefits: EMCD product discounts and mining infrastructure access. - Salary in USDT.

• Analyse procurement and spend datasets from multiple internal and external sources to provide meaningful business insights, improve spend visibility, and support strategic procurement decision-making. • Perform data cleansing, transformation, enrichment, reconciliation, and validation activities to ensure procurement reporting data is accurate, reliable, and fit for business use. • Develop spend analysis reporting across suppliers, entities, categories, GL accounts, and other procurement dimensions to support sourcing, category management, and operational procurement activities. • Investigate data quality issues, identify reporting gaps, and recommend improvements to procurement data coverage, classification methodologies, and reporting processes. • Design, build, and maintain analytical workbooks, reports, and dashboards using Power BI, Power Query, and Excel to deliver actionable procurement insights to stakeholders. • Collaborate with Procurement, Finance, and Data teams to gather reporting requirements, validate outputs, and identify opportunities for further analysis and reporting enhancements. • Assess, onboard, and integrate additional data sources including Enterprise Data Warehouse (EDW), Oracle, procurement platforms, and finance systems to improve reporting capabilities and data availability. • Drive continuous improvement and reporting automation initiatives by identifying opportunities to streamline manual processes and leveraging tools such as Power Automate to improve procurement reporting efficiency and analytics capabilities.

• Own and execute FR 2052a Liquidity Reporting • Prepare and validate FDIC regulatory reports (12 CFR 369 & 12 CFR 370) • Data sourcing, mapping, and transformation for regulatory reporting • Data quality checks, reconciliations, and variance analysis • Investigate reporting exceptions and data breaks • Collaborate with Treasury, Liquidity Risk, Finance, and IT teams • Maintain reporting controls, procedures, and data dictionaries