3 Quantitative Analyses Jobs

Roles & Responsibilities Demonstrates structured problem-solving skills and expertise in applying advanced tools and techniques to address complex, open-ended problems, driving impactful solutions. Designs and develops productized analytics solutions or scalable frameworks independently, enabling data-driven decision-making at a strategic level. Gains a deep understanding of business and product challenges, delivering comprehensive, data-backed solutions to address core issues and opportunities. Conducts root cause analysis and deep-dive evaluations for critical product and business challenges, identifying actionable insights. Oversees the design, execution, and maintenance of robust reporting systems,delivering insights at leadership forums on a regular cadence. Leads the development of advanced templates and dashboards in tools like Excel, Power BI, or intranet platforms, ensuring optimal operational and management reporting. Strategically manages data extraction and ad-hoc analysis requests, ensuring alignment with business priorities and goals Evaluates and refines business metrics in alignment with organizational objectives,exploring and implementing new metrics to deepen understanding of product performance. Provides mentorship and guidance to the team, fostering analytical capabilities, driving professional growth, and ensuring high-quality outputs. Operates effectively in fast-paced environments, managing multiple high-impact projects with varying levels of complexity, while ensuring timely delivery and precision. Skills and Experience: 5-7 years of experience managing large datasets, leading quantitative analyses, and delivering actionable insights at a strategic level. Strong expertise in statistics and advanced experience in building and deploying statistical models, including hypothesis testing, product experimentation,A/B testing, and regressions. Proficiency in SQL and advanced Python skills for data manipulation, automation, and in-depth analysis. Demonstrated success in optimizing e-commerce funnels, retention strategies, and other key performance metrics. In-depth knowledge of widely used analytics techniques, with exposure to emerging methodologies and innovative approaches to problem-solving. Proven ability to define, evaluate, and refine business and product metrics, providing strategic guidance for product optimization and innovation. Adaptable leader with a track record of thriving in fast-paced, dynamic environments, managing cross-functional teams, and delivering impactful results. Exceptional interpersonal and stakeholder management skills, fostering collaboration across diverse disciplines and aligning teams toward shared goals. Expertise in designing and delivering intuitive, executive-level dashboards and reporting solutions using advanced tools like UDP and Power BI, adhering to best practices for clarity and precision. Bachelors in Computer Science, Engineering, Analytics, or a related field from a top-tier institution.

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu