Top Analytics Jobs
The Investment Analytics Senior Associate will develop and implement investment strategies related to insurance liabilities. Responsibilities include overseeing cross-functional projects, supporting asset management reporting and analysis, modeling alternative assets with insurance products, and providing leadership in actuarial model development and integration support for insurance businesses.
The Consultant will oversee strategic projects from analysis to implementation, manage project plans, design BI systems, create dashboards, and engage in stakeholder management, while aiming to drive business performance through data-driven insights.
The Consultant will design and manage strategic projects, analyze and report on project plans, and support teams in understanding activities across workstreams. Responsibilities include implementing systems for collecting business intelligence data, developing automated solutions, creating dashboards, and acting as the primary contact for project-related issues.
As a Consultant, you will design and manage strategic projects, analyze and report on project plans, support multiple workstreams, and implement business intelligence systems. You will create dashboards for data visualization, liaise with clients, and drive project success through innovative solutions.
In this role, you will analyze data, define success metrics, develop reports and dashboards, and collaborate with cross-functional teams to drive business growth. You'll focus on revenue forecasting, customer engagement, and identifying trends to enhance product strategies.
The Strategic and Operational Data Analytics Manager leads data analytics strategy development and execution to support business objectives. This role emphasizes hands-on management and driving data-driven decision-making to enhance operational performance and success.
The role involves driving the data science and analytics initiatives by partnering with go-to-market leaders to define KPIs, analyze customer behavior, and build a data-driven culture in a rapidly growing AI organization.
The Senior/Lead Data Scientist for Marketing Analytics will build and maintain predictive models, analyze data trends, and provide insights to enhance business decisions. Responsibilities include developing complex analytic frameworks, overseeing model recalibration, and creating new analytic procedures. Communication and coordination across teams are also key tasks.
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The Associate Director/Director of Analytics will manage the lifecycle of analytical engagements, delivering data and strategic consulting to clients. Responsibilities include leading client meetings, mentoring team members, and developing complex analytic frameworks. The position requires strong communication skills and the ability to refine marketing programs based on analysis of results.
The Director, Label Analytics at Sony Music Entertainment will lead commercial analytics for a label, utilizing consumer data to evaluate performances, inform strategies, and support executive decision-making. This role involves developing reports, dashboards, and responding to ad-hoc analytics requests while ensuring data integrity and educating teams on data utilization.
The Senior Associate, Analytics will analyze campaign and customer data to drive business outcomes, connecting data with marketing strategy for Fortune 500 brands. Responsibilities include developing insights, dashboard reporting, and client interaction while utilizing tools such as SQL and Tableau for effective data analysis.
As an Associate in Data Analytics, you will support data analysis and visualization, develop dashboards, and provide research support for workforce development projects, contributing to improving investment strategies and social impact assessments.
The Senior Data Analyst - Marketing Analytics will lead analysis and quantitative strategy for Spotter's Studio business, focusing on user behavior, funnel dynamics, and marketing channel effectiveness. Responsibilities include building marketing analytics, developing dashboards, monitoring performance metrics, partnering with teams to design measurement strategies, and advocating data-driven decision-making processes.
The role focuses on providing analytical guidance to health care providers, leveraging Sg2's tools and insights to enhance performance and growth. Responsibilities include managing provider data, creating presentations, training, and developing relationships with providers to improve service delivery.
Growth Data Scientist role at Quizlet focusing on driving business insights through data, developing analytical frameworks, and working closely with Product, Engineering, and Design teams to drive user growth. Responsible for A/B testing, analyzing user behavior, and informing product roadmap and strategy using data science techniques.
Principal Analytics Engineer responsible for developing and maintaining platforms, patterns, pipelines, assets & BI solutions for cross-functional data operations & analytics. Must have pharmaceutical experience and be able to empower others to adopt successful patterns & practices in data management.
The AVP will co-lead M&A integration efforts for the Reserving & Loss Analytics team, manage the Plan and Forecast analyses, and build solutions that provide insights to executives. Responsibilities include developing analytical tools, ensuring reserve adequacy, and collaborating closely with underwriting, pricing, claims, and finance to address emerging trends and improve existing frameworks.
The role involves conducting hands-on data analytics projects specifically in the pharmaceutical sector. Responsibilities include performing secondary data analytics, understanding business questions, stakeholder management, and communicating insights effectively. Candidates should have expertise in various analytics related to patient insights, market dynamics, and brand performance.
The Associate Director of Commercial Analytics will lead secondary data analytics projects, focusing on market landscape studies, customer segmentation, and campaign evaluation. The role involves communicating with stakeholders, conducting relevant analytics, and translating results into actionable insights to drive business strategies.
The FX Data and Analytics Analyst role involves managing data initiatives within the Foreign Exchange Trading Department, primarily focused on KDB+ and Python. Responsibilities include supporting FX data plants, collaborating with stakeholders on data science projects, ensuring data integrity, and participating in client meetings to address data needs.
The Senior Data Consultant provides management consulting support to the USACE Headquarters Hydropower Program, focusing on implementing business processes and policies. Key responsibilities include program management, data analytics, and expertise in electric utility operations and hydropower generation.
The Quantitative Analytics Manager at Freddie Mac will oversee model execution and risk assessment in the Multifamily sector, engaging with business partners to solve complex quantitative problems, develop models, and produce analytical reports. The role also involves synthesizing results for stakeholders and driving improvements in model methodologies.
As a Quantitative Analytics Senior, you will develop and manage quantitative models, conduct data analysis, implement methodologies for decision-making and risk management, and ensure compliance with model risk governance. You will lead analytical initiatives focusing on multifamily credit and market risks, while collaborating across teams to enhance business efficiency and model governance.
The Quantitative Analytics Senior will develop methods for model execution and risk evaluation, improve existing models, implement statistical models, conduct testing, and provide innovative solutions for complex problems. The role involves preparing documentation and collaborating with various teams.
As a Data Analytics Senior at Freddie Mac, you will leverage SQL and Python to provide insights for business decisions, design reports, and facilitate data integration with various systems. You will drive efficiency using self-service analytics, and collaborate with stakeholders to ensure accurate and impactful reporting.
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