Top Data & Analytics Jobs

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.

Lead and own data quality activities including analysis, remediation, and program implementation. Resolve complex data issues, manage processes and reports, supervise junior staff, present status to stakeholders, and ensure compliance with policies and controls in banking data domains.

The Sr Data Analyst Consultant will focus on data analysis related to data warehousing and ETL processes, requiring prior BA and QA experience, as well as knowledge of billing systems and Time Warner Cable.

As a Sector Analyst, you will analyze alternative data, produce research insights, and collaborate with investment professionals to drive informed decisions.

Administer and maintain the Housing Department's databases (Salesforce, SF-HMIS), perform data entry, verification and analysis, produce weekly/monthly and funder reports, ensure contract compliance, train and support staff, maintain filing systems, and assist with special projects and documentation.

Provide 24x7 support for client-facing systems with focus on data quality, reliability, and integrations. Design and build Intapp Integrate integrations, develop SQL for extraction/reconciliation, script automation (PowerShell/Python/C#), deploy and maintain applications, perform testing, monitoring, performance tuning, documentation, and stakeholder collaboration to meet business requirements and ensure secure, scalable data workflows.

The Senior Data Analyst will analyze large datasets, develop models, create visualizations, and collaborate with teams to enhance media analytics and client outcomes.

The Qlikview Analyst will develop business analytics solutions, focusing on visualization and insights, and lead project teams. Requires expertise in data visualization tools and strong analytical skills to drive innovation.

Maintain and evolve GMO's security master and portfolio data platforms (NeoXam DataHub, Aladdin, Eagle PACE). Analyze large datasets using Python, SQL, and Excel to identify data quality issues, define business requirements, support conversions/migrations, implement controls/automation, and collaborate with stakeholders to modernize data validation and onboarding processes.

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.

The Sr. Data Analyst translates business requirements into IT solutions, builds data analytic systems, and ensures data quality while collaborating with cross-functional teams.

The role involves building and implementing data analytic solutions, collaborating with stakeholders, ensuring data quality, and recommending effective data solutions in the healthcare domain.

The Technology Analyst will develop Big Data applications leveraging Hadoop, Java, and Python. Responsibilities include project lifecycle participation, team collaboration, and client interfacing in a global delivery environment.

Seeking a Sr. Data Analyst to create data analytic solutions and support healthcare datasets. Required are skills in data mapping, quality assurance, and collaboration across teams.

Support territory mapping for Outreach team, build analytical models for workforce planning, and partner with leadership for hiring decisions while using AI tools.

The Senior Analyst in Risk Management will support data governance by ensuring data accuracy and consistency and aiding investment committee processes. Responsibilities include coordinating timelines, analyzing data, and maintaining governance artifacts.

Define and improve data quality processes, analyze data issues, collaborate with stakeholders to document requirements, monitor data quality metrics, and support remediation efforts to ensure accurate, reliable data.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Serve as an analytics partner to business units to define problems, scope projects, perform in-depth analysis, and deliver actionable insights. Lead technical execution with data engineers/scientists, build dashboards in Looker, apply statistical methods and A/B testing, and drive data literacy and process improvements across the company.

Serve as the actuarial-focused business analyst and product owner in the Global Data Office. Translate actuarial requirements into data engineering specs, own roadmaps for actuarial data and tools, manage product backlog and agile ceremonies, and ensure data governance, quality, lineage, and stakeholder alignment.

Work on web and mobile analytics for Chase, ensuring data collection integrity, defining feature measurement specs, documenting standards, resolving tagging defects, and collaborating with business and technical teams to improve digital customer experiences.

Define, design, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance. Use Informatica MDM/IDQ, SQL, and Excel to cleanse, standardize, match, merge, and manage reference data.