Strategic Insights And Analytics Director Jobs

Overview The Insights product is an offering for Guidepoint's Institutional investment and corporate clients, now in its 9 th year, that offers teleconferences, surveys, in-person events, along with a plethora of AI-facilitated data and content. The teleconferences live in a transcript library portal, which covers a wide of industries/topics that enables our clients to make informed decisions. All content features experts from Guidepoint’s proprietary global network and is conceptualized and hosted by former investment professionals (i.e. private equity/hedge fund), sell-side equity research analysts, and industry professionals. What You’ll Do: Conduct bottoms-up company research including reviewing earnings releases, reading investor presentations and analyzing regulatory filings Moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for buy-side and PE clients Work with our AI team to systematize diligence questions with the goals of automating certain fundamental research solutions Generate ideas and follow key investor views among relevant strategies within European credit Can be an in-person position or a fully remote work-from-home position What You Have: Must possess exceptional written and spoken English skills at a professional level Bachelor’s degree or Master’s degree 7 years or more of deep fundamental analyst experience ideally in a Private Equity setting Must follow a bottoms-up, fundamental approach to investment research focusing on individual companies Has prior experience covering single name corporates on either the sell-side or buy-side. Some familiarity with capital structure or credit analysis, via the Broadly Syndicated Loan or Private Credit / Direct Lending markets. Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: We're redefining how software is built and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. To realize this vision, we need people who are obsessed with understanding how users experience our product and can turn that understanding into decisions that move the needle. You'll directly impact Replit's growth by turning user behavior into actionable insights that shape product strategy, improve activation and retention, and drive sustainable revenue growth across our self-serve and enterprise segments. Who You are You're a data scientist who moves fast and goes deep. You can spin up an analysis in hours that would take others days; not by cutting corners, but because you've built the intuition and technical toolkit to get to the right answer quickly. You're the person who digs past the top-line number to find the confound, questions whether the metric actually measures what people think it does, and pressure-tests your own work before anyone else sees it. You treat experimentation as a craft, not a checkbox. You've felt the pain of underpowered tests and novelty effects, and you have the judgment to get it right. You use AI agents and tools aggressively to multiply your output - writing code, exploring data, generating hypotheses, but you treat every AI-assisted output as a draft, not a deliverable. You know what good analysis looks like and you won't ship anything that doesn't meet that bar. The result is that you operate at a speed and depth that most DS teams can't match. You will: Design and analyze product experiments to evaluate feature launches, onboarding changes, and in-product interventions with rigorous statistical

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: Our Key Offerings are divided into 5 broad categories as follows: • Entertainment • Digital Platforms • CVM Solutions • Enterprise Services • Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more Role Overview: We are looking for a data-driven Growth to support our mobile app and SuperApp ecosystem. The role combines analytical rigor with hands-on execution, focusing on user acquisition, retention, engagement, and GTM strategy optimization. The ideal candidate will be comfortable analyzing campaigns, evaluating go-to-market plans, and identifying actionable opportunities for growth. Key Responsibilities: *Growth Analysis & Insights: -Analyze campaign performance (push notifications, in-app messages, email, SMS, partnerships) and track conversion KPIs. -Monitor retention, reactivation, and engagement metrics, including feature adoption, transaction frequency, and monetization flows. -Conduct funnel and cohort analyses to identify bottlenecks in user journeys and growth opportunities. -Track campaign ROI, cost per acquisition (CPA), activation rate, referral conversion, and other key growth indicators. *GTM Strategy Support: -Assist in designing, executing, and analyzing go-to-market plans for new features, wallet flows, or app integrations. -Evaluate the effectiveness of promotional campaigns, incentive programs, and partnerships in driving adopti

About Paytm Lending Paytm’s Lending marketplace connects millions of consumers and merchant partners with top NBFCs and banks across Personal Loans, Merchant Loans, Postpaid, and Credit Cards. We build cutting-edge financial products powered by real-time risk modelling, seamless distribution, and high-volume transaction processing. Role Overview We are seeking an energetic, analytical, and business-focused Manager – Business Finance to join our Lending Finance team. In this role, you will act as a key financial partner to business leads, product managers, and risk teams across Personal Loans, Merchant Loans, and Credit Cards portfolios. You will be responsible for driving financial planning, developing bottom-up revenue models, tracking portfolio yields/costs, and delivering actionable insights to the CFO and CEO to maximize profitability and operational efficiency. Key Responsibilities 1. Revenue Modelling & Portfolio Economics - Build, maintain, and refine end-to-end financial & revenue models for lending products (Merchant Loans, Personal Loans, Postpaid). Model monthly/daily interest accruals, processing fee (PF) yields, First Loss Default Guarantee (FLDG) provisions, collection costs, and Cost of Funds (COF) across diverse lender partners. - Conduct scenario modelling (AOP vs. Actuals, MBR updates, Team Plans) to assess the impact of take-rate changes, volume mix shifts, and credit policy tightening. 2. Business Partnering & Decision Support - Act as a co-pilot to Business Heads to evaluate new commercial constructs, lender tie-ups, and product feature launches. - Analyze unit economics (Revenue per Disbursed/Booked Card, Net ROI, Take Rates, Risk-Adjusted Returns) at a product and lender level to guide business strategy. - Analyze risk vs. return trade-offs (GCL vs. Net ROI) across partner lenders to optimize portfolio allocation. 3. Financial Planning & Analysis (FP&A) - Lead the Annual Operating Plan (AOP) creation, monthly business reviews (MBR), and q

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Title: Sr. Manager/DGM - User Investing Growth. About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role: We are looking for a growth-oriented and customer-focused professional to drive user acquisition, engagement, and retention for SIP, ETF, and Trading Ideas businesses at Paytm Money. The role requires strong analytical thinking, growth strategy execution, and collaboration across product, content, and business teams to enhance investment journeys and user engagement. Responsibilities : Drive user acquisition and engagement for ETF, SIP, and Research Content products. Develop strategies to improve SIP registrations, active SIPs, and SIP continuation rates. Grow ETF trading volume and AUM through targeted campaigns, investor education, and engagement initiatives. Collaborate with the content and research teams to ensure investment insights drive user engagement and conversions. Analyze investment patterns, user cohorts, and drop-off points to optimize investment funnels and customer journeys. Design lifecycle campaigns to convert one-time investors into long-term systematic investors. Monitor and improve key metrics such as SIP MTU, ETF AUM, research engagement, and retention rates. Partner with product and UX teams to improve onboarding, discovery, and investment experiences. Conduct market research and competitive benchmarking to understand customer behavior and industry trends. Prepare periodic business reviews, performance reports, and acti

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Analyze inline/param/probe/DOE data to identify yield detractors and drive continuous improvement. Apply semiconductor device physics, process knowledge, and statistical tools to troubleshoot yield issues. Collaborate with module engineering teams to diagnose process/tool‑related yield variation and ensure timely resolution. Lead or participate in cross‑functional task forces to solve complex yield, defect, or process integration challenges. Perform root‑cause analysis using FMEA, 8D, SPC, and other structured methodologies. Publish clear Pareto analyses and maintain dashboards for assigned product lines. Support new technology transfer, process baseline setup, and qualification activities. Partner with equipment engineering, shift engineering, and quality teams to address long‑term defect or excursion issues. Conduct material, process, and equipment evaluations and recommend optimization strategies. Ensure product performance meets design and reliability requirements and propose corrective actions when gaps exist. Leverage AI-Enabled and AI-Assisted solutions, including Copilot, YMS Genie, Agentic AI, AI Agents, and Large Language Models (LLMs), to accelerate yield analysis, automate engineering workflows, summarize insights, and enhance diagnostic efficiency. <spa

About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-fac

Work Flexibility: Onsite Schedule: Monday – Friday 6:00am - 2:30pm, OT as needed What you will do: In this role, you will support the Materials Manager in coordinating daily material operations on the production floor, ensuring accurate material flow, inventory integrity, and timely delivery of components to support production schedules and operational needs. This role focuses on maintaining efficient material movement, supporting quality standards, and enabling production teams to meet safety, delivery, and cost objectives. Coordinate material availability, staging, and delivery to support uninterrupted production and minimize production downtime. Promote inventory accuracy by supporting material movements, ERP transactions, and work order processes (backflushing, transfers, scrap, and completions). Assist in identifying and resolving inventory discrepancies through root cause analysis while supporting cycle counts, physical inventories, and audit activities. Leverage material usage trends and production demand insights to help optimize stocking strategies and align inventory levels with production plans. Reinforce proper material handling, storage practices, FIFO practices, and compliance with GMP, GDP, and traceability requirements. Serve as a cross-functional point of coordination between materials, production, planning, warehouse, and quality teams to ensure alignment and material readiness. Support the training and development of the Materials team, fostering accountability, accuracy, and continuous improvement. Contribute to process improvement and Lean initiatives to enhance material flow, reduce inventory levels, improve space utilization, and enhance line-side efficiency. What you need: Required Qualifications: High School Diploma

About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are seeking a Lifecycle Marketing Manager to build, own, and lead lifecycle programs for SMB advertisers at OpenAI. This is a zero-to-one opportunity to establish the strategy and programs that guide businesses from initial interest and their first campaign to sustained success and growth. You will set the lifecycle strategy, own the program roadmap and performance goals, and lead delivery from customer insight and journey design through launch, measurement, and iteration. Combining behavioral insights, experimentation, and personalized engagement across email, product experiences, education, and other channels, you will build programs that scale with the business. Success requires independent judgment, analytical depth, cross-functional leadership, and hands-on execution. In This Role, You Will Own the lifecycle program portfolio across prospect conversion, activation, retention, repeat spend, reactivation, and expansion. Map advertiser journeys using cohort analysis, product behavior, campaign performance, and customer feedback to identify high-impact growth opportunities. Build segmented, triggered journeys that connect advertiser needs, intent, readiness, and behavior to relevant messages and next steps. Lead prospect nurture and email acquisition

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centers around using data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most exciting problems our world faces. Your mission is to synthesize disconnected streams of thought into an understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. You'll immerse yourself in our customers' most intricate workflows. You'll partner with customer teams and explore the data, and plunge into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll seek will require a curious and analytical approach, a sharp intuition for product, and a strong degree of user insight to ultimately empower our customers to improve decisions.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centres around using data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. What We Do As a Deployment Strategist, you’ll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most exciting problems our world faces. Your mission is to synthesise disconnected streams of thought into an understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. You’ll immerse yourself in our customers’ most intricate workflows. You’ll partner with customer teams and explore the data, and delve into the product landscape to enable us to scale. A select number of Deployment Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you’ll tackle will require a curious and analytical approach, a sharp intuition for product, and a strong degree of user insight to ultimately empower our customers to improve decisions.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centers around using data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most exciting problems our world faces. Your mission is to synthesize disconnected streams of thought into an understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. You'll immerse yourself in our customers' most intricate workflows. You'll partner with customer teams and explore the data, and plunge into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll seek will require a curious and analytical approach, a sharp intuition for product, and a strong degree of user insight to ultimately empower our customers to improve decisions.