Top Analytics Jobs

Perform data analysis and management, build reports, dashboards, calculators, and maps; present findings to clients and stakeholders; mentor junior staff; collaborate with data science and technical teams; use SQL, Python, GIS, BI and spreadsheet tools to translate data into actionable insights and client-facing deliverables.

Support Data & Analytics initiatives for Private Bank Switzerland as Business Analyst and Project Manager. Drive data discovery, define requirements, prepare functional specs, perform Avaloq and SQL analysis, create audit-ready documentation, design data quality controls, and test developer outputs across reporting, regulatory, and remediation projects.

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.

Develop and apply analytics, statistics, and predictive models using R and Hadoop. Communicate results in presentations, collaborate within teams, adapt to changing business needs, and leverage insurance domain knowledge. Role is a 6-month contract with phone interview.

Analyze data from various company systems; perform correlation and regression analyses; apply strong statistical methods using R, Tableau, and Excel; interpret web analytics to inform insights.

The Data Analytics Intern will assist with analytics tools, data preparation, SQL queries, and cross-functional collaboration to support EV Realty's projects.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

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.

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.

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 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.

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.

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.