• Analyze large datasets across CRM, media, and digital platforms to uncover actionable insights • Develop dashboards and reports to track key KPIs (acquisition, engagement, retention, conversion) • Translate complex data into clear, business-friendly insights for stakeholders • Support segmentation strategies (e.g., lifecycle, behavioral, RFM models) • Analyze consumer journeys across channels such as WhatsApp, email, and web • Identify opportunities for personalization and next-best-action strategies • Measure performance of CRM and digital marketing campaigns • Conduct A/B testing and provide data-driven recommendations for optimization • Collaborate with media teams to assess campaign effectiveness and ROI • Work closely with data engineering and tech teams to ensure data accuracy and consistency • Support integration of multiple data sources (CDPs, CRM platforms, media platforms) • Ensure proper data governance and compliance with privacy regulations • Partner with internal teams and stakeholders to support business objectives • Present insights and recommendations in a clear and compelling manner • Contribute to strategic initiatives such as loyalty programs and digital transformation projects

The Centre for Information Resilience (CIR) is an independent organisation dedicated to exposing human rights violations and threats to democracy. We achieve this through open-source research, digital investigations, capacity-building with local partners, and collaboration with media to amplify our impact.  CIR was born out of a determination to expose those spreading harm – online and offline – around the world, particularly in areas of violent conflict, such as Ukraine, Sudan and Myanmar. Our projects are at the forefront of efforts to investigate and document human rights abuses, war crimes, harms targeting women and minorities, and influence operations. We work closely with multilateral and national justice accountability bodies.  We're always looking to connect with experienced investigators who specialise in collecting, analysing, and interpreting open-source data to generate actionable intelligence. Whether you're currently working in the private sector, law enforcement, journalism, or national security, we want to hear from you.  Role details  The role:  The OSINT Analyst – Open-Source Data Collection and Evidence Archiving (Ukraine) will work in a team dedicated to investigating war crimes and human rights abuses associated with the conflict in Ukraine. They will focus on systematic collection, verification, and archiving of open-source material related to the war in Ukraine. The analyst will contribute to and maintain structured evidence datasets drawn from social media, messaging platforms, and other open sources, supporting large‑scale databases that underpin investigations, reporting, and public-facing mapping products.    Contract Type: Contractor  Contract duration: Until 31 March 2027. Immediate start available.  Hours needed for this role:  Full time.  Languages: You must be able to speak and write English. Ukrainian and/or Russian language proficiency desirable.  Location: Remote. The candidate may make use of CIR’s office premises in Westminster, London or Kyiv, Ukraine.  Closing date: Monday 27th April 2026 at 23:55pm.

• Analyze and interpret large volumes of HR data ingested into the Data Lake to identify trends, gaps, and actionable insights for business and AI use cases • Design and implement scalable logical and physical data models to support multiple HR and analytics reporting needs • Develop and maintain a semantic layer to ensure consistent, governed access to HR metrics across teams and tools • Collaborate with data engineers to ensure high-quality Workday API data integration and model-ready data structures • Partner with AI development teams to align data models with requirements for automated HR agents and workflows • Define and enforce data validation rules, quality checks, and compliance standards across the data modeling pipeline • Translate HR and business stakeholder requirements into structured data models and analytics frameworks • Create and maintain documentation, including data dictionaries, lineage, and model definitions

The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Responsibilities: - Partners with business teams to develop process improvements, solutions, and streamline operational workflows - Applies professional judgment and attention to detail when interpreting data and results based on the analysis of information - May occasionally provide informal guidance or on the job training to new or lower-level team members - Communicates with tact and diplomacy to exchange potentially complex/sensitive information with project stake holders or internal parties - Works and coordinates with a multidisciplinary group of business leads, operations managers, and technologists - Report Data Quality issues through the Data Concern Remediation Management process - Defines detailed business data requirements and documenting them - Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: - 3-5 years’ Experience with defining and implementing Data Quality programs in Banking or Finance industry - 3 years of experience of working with Wholesale Credit Risk dataset - Proficient in the use of SQL and Python - Strong analytical skills and attention to detail - Working knowledge of Collibra and other Data Governance industry standard tools - Intermediate proficiency in System Query Language (SQL) - Working knowledge of Tableau (report consumer, developer, etc.) - Demonstrated understanding of Database structures - Flexible, team-oriented and have good interpersonal skills - Ability to work independently and as part of a team - Excellent written and verbal communication skills Education: - Bachelor's/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Data Governance------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting------------------------------------------------------ Time Type: Full time------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.