Insights Lead Jobs

Strategic Support ▪ Support the strategic planning process for business based on customer insights to enhance penetration ▪ Develop impactful promotional programs, activities for CSO FF aligned with ‘Key’ market messaging and activities, and implement the promotional programs, activities and exact events to provide proper Implementation of marketing plans in accordance to promotional cycles and current targets/tasks. ▪ Optimally utilize available expenses to drive the same ▪ Monitor and analyze business performance vis-à-vis business goals (awareness, share and etc.) and the competition ▪ Implement the brand plans by working with internal and external stakeholders to deliver on time and budget ▪ Work with medical and legal team to get appropriate approval for materials ▪ Execute the implementation plan for the campaigns & adherence to the SLA’s with various stakeholders- both internal and external Operational ▪ Coordinate with the local agencies for trans-creation (budget, scope, timing, and quality of project) ▪ Track brand performance progress towards the target ▪ Ensure execution & adaption of marketing tactics based on environmental factors, competitive trends & customer needs ▪ Coordinate with the sales team. Seek their buy-in and alignment in review meetings ▪ Partner with medical to educate KOLs on emergent medical research and differentiated product attributes ▪ Interact with KOLs and maintain relationships through regular field visit ▪ Co-ordinate with sales training team for the training programs ▪ Train field force on product knowledge, positioning and prioritization ▪ Control performance of the marketing plan by monthly/quarterly monitoring of key performance indicators and monthly reporting KPIs ▪ Develop promotional meetings strategy and drive execution ▪ Monthly field communication on performance,

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Job Description The New York Times advertising department is looking for a Manager of Measurement Analytics. As a strategic and data-driven individual, you will transform our vast data resources into compelling narratives. These narratives will explain the unique value of our platform and products, focused on campaign performance. You will be a central hub of knowledge, applying deep analysis of our audience and ad products to empower our Sales, Strategy and Product teams. This is a hybrid role based in our New York headquarters, reporting to the Senior Director, Measurements, Audience and Insights. You can typically expect to be in the office 3 days per week. About the Role, Mission or Department Overview You will evolve how we measure and increase media and creative across a portfolio of diverse clients. This collaborative and strategic role will work with top tier advertising clients. You will also work with Sales, Sales Planning, Ad Product, Audience Insights, and Strategy teams. The goal is to achieve results to promote relationships with marketers and increase ad revenue. Furthermore, You will work with our Product, Engineering, Data Science, and Product Marketing teams to create and validate measurement solutions supporting new lower funnel advertising solutions. Responsibilities: Develop expertise in the full suite of NYT research capabilities and measurement products that deliver important performance metrics across the full marketi

P-160 Who We Are Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of the GenAI systems. With features like real-time alerts, detailed logging, and anomaly detection, customers can quickly identify and fix issues that affect the quality of their GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying cutting-edge technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems. We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will offer you the opportunity to contribute to both the front-end and back-end development of our product, while also allowing you to bring your strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems. What You’ll Do Full-Stack Development : Design, develop, and maintain both front-end and back-end components of our web applications. UI/UX Design : Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You’ll ensure the product provides a seamless experience from end to end. Backend API Development : Architect, design, and implement RESTful APIs and microservices to support the application. Collaboration & Mentorship : Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development. Product Sense : Contribute to product strategy by offering insights

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll support Analytics team members as they work with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us. About the MS/PhD Data Scientist Internship Our data scientists conduct research through data mining and statistical modeling to discover insights from large, complex data sets that are used by our investment professionals to make investment decisions. During the 10-week program based in our New York office, you will gain exposure to: A highly collegial environment that emphasizes teaching and learning as a team Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients Driving technical innovation through a collaborative R&D process Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Work alongside your fellow interns and be mentored

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently, uncover meaningful patterns in complex datasets, and communicate findings in a way that drives informed business decisions. *The Data Analyst will be a hybrid role, 50% onsite in the Fort Worth, TX office and 50% remote. The candidate for this role must be within commutable distance to the office location. Primary Responsibilities: Extract, clean, transform, and validate data from multiple sources, including relational databases. Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. Develop Python-based data analysis workflows for data exploration, modeling, and reporting. Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations. Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes. Build and evaluate machine learning models, including: Regression Classification Clustering Decision Trees Supervised Learning Unsupervised Learning Investigate data anomalies and independently determine the root causes behind unexpected results. Identify the most relevant data elements, metrics, and business questions without requiring extensive direction. Translate complex analytical findings into clear, compelling presentations and recommen

End to end responsible for: • forward-looking financial planning, scenario analysis and performance insights to improve returns and predictability. • revenue, collections, margin and cashflow forecasting with risk visibility and mitigation actions. • decision support for pricing, schemes, capital allocation and portfolio trade-offs using analytics. • standardized business review cadence and KPI governance with high data quality. Source: Adani Group | Job ID: 58733

About the role As a Data Analyst, you will help organizations turn complex data into meaningful insights and practical business solutions. You will work at the intersection of data, technology and business, supporting clients in improving data foundations, processes and decision-making. In this role, you will contribute to data-driven transformation initiatives, working closely with business stakeholders, data teams and technology teams. You will combine hands-on data preparation and analysis with project management and a strong understanding of business needs. What you will do Data Analysis & Preparation Collect, combine and prepare data from multiple sources for analysis and reporting. Design, maintain and optimize data flows and transformation processes. Analyze datasets to identify trends, patterns, anomalies and opportunities. Translate business questions into data-driven analyses and practical recommendations. Investigate data quality issues and work with data owners and providers to resolve them. Develop dashboards, visualizations and analytical outputs to support business decision-making. Data & Process Transformation Analyze existing data processes and identify opportunities for improvement and automation. Contribute to the redesign and optimization of data flows and analytical processes. Support data migration and transformation initiatives, including the transition to new data environments and tools. Challenge existing ways of working and propose innovative and scalable solutions. Help establish robust and sustainable data foundations. Project & Stakeholder Management Manage and coordinate data-related activities and project deliverables. Work closely with business users, data providers, IT teams and other stakeholders across different functions and locations. Translate business and operational requirements into clear data solutions. Plan, monitor and communicate progress, risks and dependencies. Present findings and recommendations cle

About the Team This team builds an AI-native predictive analytics platform that embeds ML and AI-driven insights directly into production Go-To-Market workflows — powering real-time decisions at scale. The team owns the full stack from distributed data pipelines and backend services to ML and AI-powered capabilities that ship directly to customers. We are building toward a model where AI components are first-class runtime dependencies, not bolt-on features. Agentic AI development is a core part of how we increase engineering velocity and deliver customer value. This is a team that ships daily, iterates constantly, and treats speed as a capability to be deliberately improved. The Role This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production — owning outcomes end-to-end, including deployment, monitoring, cost, and business impact. We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI. What You Will Build AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role — not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space. Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requ

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts. Our team produces impactful research that will change the way you look at the world. WHAT YOU'LL DO This 6-month intensive fellowship offers hands-on experience in research, business analysis, cross-functional collaboration, and the investment process within a fast-paced, compliance-focused environment. Canvas Fellows will be considered for permanent placement on the team following completion of the program. When you join the Canvas team, you’re signing up for the learning experience of a lifetime. You will never look at anything the same way—from grocery stores to tires to semiconductors. Every day, Canvas team members speak with private company executives and learn about the businesses they’ve spent their lives building. The team synthesizes findings in comprehensive reports that are consumed by Point72 investment professionals. Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. During the 6-month program based in our New York office, you will: Become a subject matter expert on an assigned industry Engage with small, medium, and large private company executives about their businesses and the industries in which they operate, gathering qualitative data on key development—including structural shifts, real-time changes in supply/demand dynamics, and emerging competitors, markets, and technologies—with a focus

ABOUT CANVAS On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts—our team produces impactful research that will change the way you look at the world. ROLE SUMMARY When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same—from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals. Other Market Intelligence divisions perform quantitative research to explain what is going on in an industry. As a fundamental researcher, your qualitative research will explain why. In this role you will: Become a subject matter expert on an assigned industry Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts, changes in supply/demand dynamics, and emerging competitors, markets, and technologies) and, importantly, why it is happening Synthesize your findings in comprehensive reports that present a view of the industry Gain unparalleled exposure to, and learn from, Compliance approved private company executives across industries, and your colleagues Interact directly with our investment professionals and learn the discretionary investment process WHAT EXCITES YOU Staying current on t

Roles and Responsibilities. ? Actively participate in Brand development/ Range/Product development through analytics-based insights. New Vendor onboarding. ? Work in close coordination with the Planning and Pricing team for optimizing Scale / Inventory / OTB / Capacities etc. ? Inventory Ops. - Ensuring that brands deliver as per slot dates sharing packing slips in the right format, in warding and GRN within acceptable timelines, RO / Q1 Non Live / RTV for Q2Q3 with the right documentation. ? Management of OIs / POs / Inwards , Cataloguing and driving and improvising the processes. ? Collaborating with cataloguing team to get products shoot, content creation and right information of the product being shared and improvising on processes to constantly improve customer experience. ? Undertake special projects time to time for overall Category business / experience impact. Qualifications & Experience ? Demonstrated ability to work autonomously in a highly demanding and ambiguous environment. ? Strong attention to detail and exceptional organizational skills. ? Strong analytical and numbers acumen and be comfortable generating and evaluating forecasts, metrics. ? Work closely with various departments within the company to ensure that all consumer touch points and messaging are working and measured harmoniously. ? Sales, fashion or vendor management background. ? Good written and verbal communication skills. ? Basic excel. ? Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

Partner Business Manager (PBM) Power Description - The Partner Business Manager (PBM) is responsible for managing relationships with Tier-2 resellers, staying updated on market insights, and driving business growth through data-driven insights. This role focuses on ensuring strong strategic relationships, achieving business objectives, and promoting HP offerings. PBM will drive business growth through the Amplify program and GBU initiatives, strong partner engagement with HP, strategic relationship between reseller and HP towards becoming OEM of choice, increase HP Share of Wallet with partners. Key Responsibilities Coordinate peer-to-peer engagement between partner teams and HP end-user sales organizations to expand the customer funnel, accelerate pipeline growth, and drive revenue growth through partner-led selling motions. Represent HP at partner-led events and sales engagements, educating, inspiring, and enabling partner sellers to effectively articulate and champion HP’s Future of Work strategy. Manage relationships with assigned Commercial Tier-2 resellers. Stay updated with market and industry insights, expertly align HP business objectives with partner capabilities, identify market trends, and turn them into actionable business opportunities. Consult partners on growth and transformation strategies, collaborate with partner and HP sales teams, generate data-driven insights, and create joint business plans to promote sales growth. Enable and develop partners' understanding of actions they need to grow their business in strategic alignment with HP. Lead the orchestration of HP’s ecosystem as the "point-guard"—driving strategic relationships, engaging in partners' co-selling efforts, resolving challenges, shifting partne

Partner Business Manager (PBM) Power Elite Description - The Partner Business Manager (PBM) is responsible for managing relationships with Tier-2 resellers, staying updated on market insights, and driving business growth through data-driven insights. This role focuses on ensuring strong strategic relationships, achieving business objectives, and promoting HP offerings. PBM will drive business growth through the Amplify program and GBU initiatives, strong partner engagement with HP, strategic relationship between reseller and HP towards becoming OEM of choice, increase HP Share of Wallet with partners. Key Responsibilities Coordinate peer-to-peer engagement between partner teams and HP end-user sales organizations to expand the customer funnel, accelerate pipeline growth, and drive revenue growth through partner-led selling motions. Represent HP at partner-led events and sales engagements, educating, inspiring, and enabling partner sellers to effectively articulate and champion HP’s Future of Work strategy. Manage relationships with assigned Commercial Tier-2 resellers. Stay updated with market and industry insights, expertly align HP business objectives with partner capabilities, identify market trends, and turn them into actionable business opportunities. Consult partners on growth and transformation strategies, collaborate with partner and HP sales teams, generate data-driven insights, and create joint business plans to promote sales growth. Enable and develop partners' understanding of actions they need to grow their business in strategic alignment with HP. Lead the orchestration of HP’s ecosystem as the "point-guard"—driving strategic relationships, engaging in partners' co-selling efforts, resolving challenges, shifting pa

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. T he Role Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners. Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes. Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs. Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency. Maintain team resourc

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig