Top Senior Analytics Jobs

Write complex SQL queries and manipulate large datasets to produce end-to-end financial analysis of domestic and global roaming traffic. Gather requirements, identify data sources, rationalize results, produce written analysis, troubleshoot queries, and collaborate cross-functionally to make recommendations and support reporting needs.

The Senior Analyst, Data Analytics manages data pipelines and analytical models, delivering analytics and reporting to stakeholders. This role involves translating business needs into data requirements, building automated ETL processes, and ensuring data quality and governance.

The role involves coordinating meetings, managing action items, conducting advanced data analytics, and briefing senior leadership with insights from complex datasets.

No responsibilities, objectives, or required qualifications are provided in the job description. The posting only includes the job title (Data Analytics Lead) and placeholders without substantive details.

The Senior Manager will drive advanced analytics using data science tools to support business strategy and decision-making in drug development and product launch processes. Responsibilities include building machine learning models, ensuring coding best practices, and collaborating with business leaders to provide data-driven insights.

Design, validate, and optimize fraud detection strategies for digital products (Zelle, Wires, BillPay). Perform complex analysis using SAS/SQL/Excel, track strategy performance, run defect reviews, develop fraud variables, produce reports for senior management, and partner with claims, policy, product, and engineering teams to implement mitigations and project-manage strategy requirements and testing.

Perform fraud analytics and investigative support: analyze transaction and log data to identify anomalies and trends, support detection logic and ETL/data quality, produce reports and dashboards, assist forensic and investigative activities, document methodologies, and collaborate with stakeholders. Work onsite in Lanham, MD full time and maintain required clearance.

Support fraud analytics by preparing and validating data, analyzing structured and unstructured datasets to identify fraud indicators, and producing reports, dashboards, and technical documentation. Coordinate with technical teams and stakeholders, contribute to detection logic, data quality activities, and recurring analytics tasks while working onsite at the client location.

Support fraud analytics by preparing and validating data, performing statistical and pattern analysis, documenting methods, and producing reports and dashboards. Coordinate with technical teams and stakeholders to support recurring and ad hoc fraud detection and investigative tasks.

Partner with Support and Services Delivery leaders to deliver actionable CX analytics. Perform deep-dive analyses on support case drivers, resolution patterns, CSAT trends, and operational efficiency. Build and maintain data models and pipelines (SQL, dbt, Snowflake), create user-facing analytics applications, and enable AI-driven self-service through semantic models and Cortex tools. Drive stakeholder adoption, embed analytics into workflows, and define team standards to improve post-sale customer outcomes.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead market access deal analytics by developing data-driven solutions for payer strategy and reimbursement optimization, conducting claims data analyses, and integrating analytics into pricing strategies. Required to manage healthcare datasets and develop predictive models.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Lead customer analytics to reduce churn and drive upsell by building predictive models, customer health scores, and executive dashboards. Integrate data from Salesforce, Genesys, Pendo, and Qualtrics, ensure data governance, and partner with Customer Success, Product, Sales, and Finance to operationalize insights and influence strategy.

The Business Analyst will analyze online retail data, manage onsite/offshore teams, execute analytics projects using statistical techniques, and deliver actionable business recommendations.