2.0 - 6.0 years

0 Lacs

haryana

On-site

The Life & Annuity Predictive Analytics (LAPA) business unit at Milliman is a dynamic and diverse team of professionals specializing in data science. As part of LAPA, you will have the opportunity to work with a talented group of individuals including data scientists, data engineers, software developers, and actuarial experts. Together, we strive to help insurers and distributors of life and retirement products leverage data to enhance their competitive edge and financial performance. In this role, you will take on the responsibility of leading industry studies for the LAPA team. Your duties will include overseeing the end-to-end process of data collection, development, testing, deployment, and maintenance of data processing and analytics infrastructure. Additionally, you will be involved in modeling analytics, analyzing results, and preparing comprehensive reports. Key Responsibilities: - Lead policyholder experience studies and direct analysts in preparing study data - Provide expertise in the life and annuity domain and represent Milliman in client interactions - Coordinate project tasks with the technical team and perform statistical methods assessments - Lead the preparation of client reports and relevant marketing materials Qualifications: - Bachelor's degree in a quantitative field (MS preferred) such as Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, or Data Science - Minimum of 5 years of relevant work experience with at least 2 years in an experience analysis or assumption setting role - Membership in a recognized Actuarial institute (e.g., IFoA, IAI, SOA) - Proficiency in common data analysis tools (e.g., Python, R, SASS, SQL) and familiarity with predictive modeling and statistical methods Desired Skills: - Experience in leading project teams and a background in the life and annuity industry - Ability to thrive in a fast-paced environment with a client-centric focus - Strong critical thinking, decision-making, and communication skills - Demonstrated reliability, dedication to quality work, and the capability to articulate ideas clearly - Comfort working both independently and collaboratively while managing competing priorities and deadlines Additional Skills to Develop: - Aptitude for quantitative and critical thought - Experience with cloud-based computing platforms (e.g., Databricks) and analytical programming using spark-based languages (PySpark, SparkSQL) At Milliman, we are committed to our mission of protecting the health and financial well-being of individuals worldwide. Our core values of Quality, Integrity, and Opportunity guide our actions and interactions with clients and colleagues. Through a focus on Collaboration, Communication, People Development, Innovation, and fostering a Positive Culture, we continuously strive for excellence in our work. Diversity, Equity & Inclusion is a key focus for our practice, and we value inclusivity as a business imperative. We expect all team members to contribute to a culture of belonging and support initiatives that promote diversity within our organization. As a professional at Milliman, you are encouraged to embody a client-centric mindset, exceed job expectations, and engage in administrative responsibilities to support the smooth operation of our Practice. Your dedication to exceptional client service, continuous improvement, and adherence to professional standards will contribute to your career growth and success within our team.,

Posted 3 days ago

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Analyst Trantor

5.0 - 9.0 years

0 Lacs

chandigarh

On-site

You are a skilled Implementation & Analytics Specialist sought to provide support to marketing and product teams by establishing, validating, and upkeeping analytics infrastructure. Your profound technical expertise in GA4 and Segment.io (if applicable), along with a robust QA discipline, will be essential for generating insightful reports from digital data. Your primary responsibilities will include managing daily implementation and QA tasks, aiding in analytics setup for new product launches, collaborating with marketing teams for campaign tagging and reporting, performing analytics QA utilizing various tools and debugging methods, configuring dashboards, and conducting ad hoc analyses to support business functions. Additionally, you will be responsible for maintaining documentation and enforcing best practices for implementation and tracking governance. The ideal candidate for this role should possess over 5 years of experience in web/digital analytics implementation and reporting. You should have hands-on experience with GA4 event setup, custom dimensions, and reporting logic. A strong working knowledge of Segment.io and proficiency in data pipeline configuration are essential. Familiarity with tag management platforms such as GTM or Adobe Launch would be advantageous. Your excellent QA practices, meticulous attention to detail, ability to work autonomously, and aptitude for managing cross-functional collaborations are key attributes for success in this role. In terms of technology platforms and tools, you should be well-versed in Google Analytics 4 (GA4) and Segment.io. Knowledge of Google Tag Manager, proficiency in Excel/Sheets, and familiarity with Chrome DevTools are recommended but not mandatory. If you are seeking a position that involves digital implementation, GA4 implementation, Segment.io analysis, analytics QA, web analytics consultancy, marketing data analysis, product analytics, event tracking specialization, or digital tagging expertise, this role aligns with your expertise and aspirations.,

Posted 1 week ago

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