Data Validation Specialist
Validates and reconciles client data across spreadsheets and platforms, documents discrepancies, and supports multiple implementation projects. Requires a bachelor’s degree or equivalent, at least one year in a detail-focused role, strong organizational skills, and spreadsheet proficiency.
About the job
Responsibilities
- Review and compare client data across spreadsheets and platforms to identify inconsistencies or gaps.
- Thoroughly document and log findings in a clear, standardized format.
- Collaborate with Project Leads, who guide research and analysis and serve as the main point of contact for clients.
- Prioritize and context-switch effectively across simultaneous projects, seeing each through to completion.
- Identify and implement AI-driven automation and LLM integrations to streamline implementation.
Requirements
- Bachelor’s degree or equivalent, ideally in Business, Finance, Math, Economics, or another data-oriented field.
- At least 1 year of experience in a structured, detail-focused role such as data entry, financial operations, or data quality assurance.
- Strong organizational skills with a focus on accuracy and consistency.
- Ability to work independently and collaboratively.
- Proficiency with spreadsheets such as Excel, internal tools, and web-based platforms.
- Familiarity with financial data is a plus but not required.
- Ability to quickly learn new systems and follow structured processes for data navigation and validation.
- Effective time management and ability to balance multiple priorities.
Compensation and Benefits
- Compensation and benefits details were not provided.
Skills
Data Validation, Data Quality Assurance, Excel, Spreadsheets, Financial Data, Llm Integrations, AI Automation, Data Entry
Similar jobs
Data Analytics jobsAnalyzes, validates, and reports on operational data while supporting UK and European clients with data-related issues. The role requires strong SQL, BI, database, reconciliation, and communication skills, with at least two years of relevant experience.
Validates and monitors AML/CFT transaction monitoring, customer risk assessment, screening, and AI models while assessing regulatory compliance, model risk, performance, and bias. Requires a quantitative bachelor's degree, 3+ years of relevant experience, and proficiency in Python, R, and SQL.
Analyzes and improves search and answer quality by designing metrics, building evaluation and labeling pipelines, and validating changes through experiments. Requires 4+ years of analyst experience, production-grade coding skills, and proficiency in SQL and Python.
Manages alternative-investment data operations, including security-master oversight, workflow controls, document interpretation, and high-volume data validation. The role requires investment-industry knowledge, strong SQL and Databricks/PySpark skills, and the ability to troubleshoot ingestion pipelines and apply AI tooling.
The Data Analyst supports Product Analytics and the Client Group by reconciling cross-system billing data, resolving discrepancies, and building durable data-quality controls and reporting. The role requires advanced Excel, strong SQL, and 5+ years of analytics, data, or finance-operations experience.