Top Analytics Jobs

Student internship supporting telecommunications projects with a Computer Science/Data Analytics focus. Tasks include research, data analysis, report generation, maintaining activity logs, meeting with a mentor, and delivering a completed project and written report while using business tools and enterprise software.

Lead development and validation of collateral and credit risk models for Single Family properties. Design analytical methods, perform data processing and cleaning, run ad hoc analyses, support model users, and translate complex statistical approaches into business terms while collaborating across teams.

Apply quantitative methods and analytics to large datasets using SQL, SAS, R, and Python. Build predictive and data-mining models, measure key metrics, and translate business requirements into data models. Support product and marketing teams to identify acquisition, sales growth, retention, and cross-sell opportunities through campaign analytics and channel management.

Design and run credit risk analyses and monthly reporting, manage and cleanse large datasets, implement baseline processes and controls, perform ad-hoc analytics to support credit policy, and communicate results to stakeholders.

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.

Perform analysis of loan servicing strategies, monitor champion/challenger tests, develop complex data extraction and manipulation code, produce performance reports, and translate business goals into technical tasks to optimize high-volume decisions.

Support the Data & Analytics team by developing search queries, gathering and organizing social/digital data, detecting trends in large datasets, and turning findings into client-ready insights and deliverables. Learn analytical tools and assist internal AI projects.

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.

Manager, Credit Analytics will optimize credit risk underwriting and pricing strategies through data analysis and strategic implementation. Responsibilities include extracting data, conducting analyses, and reporting insights to management to drive profitable business growth.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

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.

Analyze and reconcile enrollment and member data across Medicaid, Medicare, Marketplace, and Duals. Build reports and dashboards, fix data issues, apply statistical techniques, consolidate disparate sources, and partner with operations to ensure accurate coverage and regulatory compliance.

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.

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, 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.

12-month graduate programme based in Dubai delivering hands-on experience in employee benefits analytics, pricing and risk modelling. Work with data, BI platforms and modelling tools to build pricing models, dashboards, forecasts, and automation; learn insurance policy design, regulation, and insurer engagement before transitioning to a permanent role.

Manage client risk and maximize margins by making +EV pre-match and in-play decisions. Monitor depth charts, research verified news, analyze betting trends, and convert data into quantifiable trading actions. Work flexible hours and collaborate with cross-functional teams to improve processes and profitability.

Manage client risk and margins for sports-betting products, maintain depth chart accuracy pre-match and in-play, source and assess breaking news, and analyze betting trends to generate data-driven trading actions.

As a Portfolio Analytics Specialist, you will oversee onboarding projects for hedge funds, address analytic challenges, and collaborate on improving software functionalities.

The Data Analytics SME will assess technical practices, perform data analysis, and manage data cleansing for compliance and reporting purposes. Responsibilities include using Tableau, PowerBI, and SAS for analytics and reporting, as well as supporting cross-agency data initiatives.

Collaborate with Marketing to analyze customer behavior and develop insights using large data sets. Execute analyses on business decisions, and present findings.

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