Top Data & Analytics Jobs

Reviews and validates AI-extracted data for accuracy, completeness, and consistency. Identifies and corrects errors, logs data-quality issues, analyzes discrepancies, and provides feedback to improve AI systems and document processing. The role requires attention to detail, critical thinking, communication, basic technology skills, numerical accuracy, customer service, reliability, and consistent Monday–Friday availability from 10 AM to 6 PM.

Performs business analysis and quality assurance for Murex data management initiatives in investment banking. Responsibilities include clarifying requirements and field definitions, validating data integrity and sources, running SQL analyses, documenting process flows and specifications, supporting testing and UAT, and assisting with data migration to Snowflake. The role collaborates with business and technology stakeholders to define controls, remediate issues, and support system implementation.

Supports North American operations by developing analytical tools, writing SQL and Access reports, testing support tools, troubleshooting software and hardware issues, deploying software, and improving business processes. The role gathers business requirements, evaluates outputs, implements technology solutions, supports continuous improvement, and collaborates with users and business units. Periodic travel of up to 20% is required.

The Information Scientist will manage and extract value from global information sources, automate data workflows, apply analytical and GenAI methods, and support operational mission decision-making. The role requires library science expertise, data and information management experience, agile delivery, and the ability to develop pilots, prototypes, and minimum viable products. Desired experience includes working with dirty data, R&D environments, and high operational tempos.

Administers and maintains organizational data visualization applications, including Power BI, Qlik Sense, NPrinting, and GeoAnalytics. Develops dashboards and reporting solutions, manages requirements and data sources, maintains application security, coordinates upgrades and cloud migrations, and supports SharePoint Online and information sites. Creates user guidance and program communications while advising stakeholders on application capabilities and best practices.

Analyze and optimize programmatic advertising campaign performance, delivery, and profitability. Build Excel-based reporting, monitor campaign metrics, identify actionable insights, and recommend improvements to the Client Services team. Collaborate with Data Science and cross-functional teams to support campaign success and client satisfaction. The role includes training and hands-on development toward potential advancement to Yield Manager.

Monitor payment, fraud, and risk metrics across iLottery and iGaming businesses. Analyze transaction performance, investigate anomalies and fraud events, identify data-quality issues, produce reporting, and recommend operational improvements and cost savings. The role uses Excel, business intelligence platforms, AI, and machine learning techniques to improve detection capabilities, maintain controls, support payment providers, and communicate findings to leadership.

Supports Consumer IT through reporting, data analysis, validation, quality assurance, platform administration, automation, and light technical development. Creates and maintains reports, reconciles datasets, investigates discrepancies, administers Tableau and Azure DevOps, tests technology enhancements, documents business rules, and assists with AI-enabled reporting and emerging technology initiatives. This onsite early-career role operates under managerial guidance and provides rotational exposure to business analysis, analytics, software development, QA, and product management.

Own Rho’s marketing data infrastructure, metrics definitions, dbt models, attribution, and reporting in Snowflake. Integrate marketing, CRM, advertising, analytics, referral, and call-platform data; reconcile conflicting funnel and CAC metrics; and build recurring executive reporting. Manage reverse ETL activation, marketing systems hygiene, PII handling, taxonomy, data contracts, instrumentation, documentation, and monitoring. Partner with data engineering while serving as the sole owner of marketing measurement and data quality.

Leads market intelligence for global data center and power generation markets. Monitors industry and competitor trends, develops forecasts, conducts market analyses, manages intelligence resources and external vendors, and translates complex information into strategic recommendations. Partners with business leaders on investment, portfolio, growth, and long-term planning decisions while supporting strategic projects and mentoring analysts.