6 Analytic Techniques Jobs

About Us: At Vahan, we are building the first AI powered recruitment marketplace for Indias 300 millio nstrong Blue Collar workforce, opening doors to economic opportunities and brighter futures . Already Indias largest recruitment platform, Vahan is supported by marquee investors li keKhosla Ventures, Y Combinator, Airtel, Vijay Shekhar Sharma (CEO, Paytm), and leadi ngexecutives from Google and Faceboo k. Our customers include names like Swiggy, Zomato, Rapido, Zepto, and many more. Weleverage cutting-edge technology and AI to recruit for the workforces of some of the m ostrecognized companies in the count ry. Our vision is ambitious: to become the go-to platform for blue-collar professionals worldw ide,empowering them with not just earning opportunities but also the tools, benefits, and sup portthey need to thrive. We aim to impact over a billion lives worldwide, creating a future where everyone has access to economic prosper ity. If our vision excites you, Vahan might just be your next adventure. Were on the hunt for d rivenindividuals who love tackling big challenges. If this sounds like your kind of journey, dive int o thedetails and see where you can make your mark. What You Will Be Doing: Leverage analytic techniques to use data to guide business and decision makingDesign custom analyses in Python, Tableau, SQL and Excel to investigate and provide insights on the b usinessSynthesize and communicate results to business owners through oral and written presentations / docsProvide relevant stakeholder project status updatesContribute to cross-functional initiatives aimed at improving data quality, timeliness, and reporting ac curacy.Track & analyze trends and financial performance, with a focus on cost drivers and budget var iances.Prepare weekly/recurring payout reports for partners and providing insights on variances and proje ctions. You Will Thrive in This Role If You: Bachelor&aposs or master&aposs degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or eng ineering.2-4 years of relevant post-collegiate job experience preferably in incentive compensation analysis or funnel analysisAnalytical mindset with the ability to interpret a high volume of complex financ ial data.High motivation, good work ethic, maturity and personal i nitiativeStrong oral and written communicati on skillsEmpathy, adaptability and emotional int elligenceClose attention to detail, with a quality-focuse d mindsetAptitude for, and enjoyment of, working in teams At Vahan, youll have the opportunity to make a real impact in a sector that touches m illions oflives. Were committed to not only advancing the livelihoods of our workforce but also, in takingcare of the people who make this mission possible. Heres what w e offer: ? Unli mited PTO: Trust and flexibility to manage your time in the way that works be st for you.? Comprehensive Medical Insurance: Weve got you covered with plans designed to support you and your lo ved ones.? Monthly Wellne ss Leaves: Regular time off to recharge and focus on what ma tt ers most.? Compet itive Pay: Your contributions are recognized and rewarded with a compensation package that reflects y our impact. Join us, and be part of something biggerwhere your work drives real, positive c hange in theworld. Show more Show less

As a Senior Manager - Quantitative Model Validator at Ameriprise Financial, you will have the exciting opportunity to lead and execute model validation activities. Your responsibilities will include validating models, conducting annual reviews, monitoring ongoing activities, managing findings, and approving model usage. You will play a crucial role in addressing regulatory requirements, handling internal and external audit queries, and ensuring compliance. Reporting directly to Model Validation Leadership for AI/ML, you will be responsible for evaluating the conceptual soundness of low- to moderate-risk models. Additionally, you will assess limitations and suitability for use while coordinating validation projects with a team of 2-3 individuals. It is essential that you demonstrate expertise in key model risk areas such as Artificial Intelligence, Machine Learning, Generative AI, or Decision Sciences. To be successful in this role, you must have a minimum of 8 years of experience in model risk management within the banking or insurance sector, preferably with a Master's degree (or two years with a PhD) in a relevant field like science, data science, math, or statistics. You should possess previous experience in people or project leadership, with a proven ability to coach and mentor others. Your strategic thinking and analytical skills will be instrumental in providing effective business solutions and recommendations. The ideal candidate will be able to work independently with initiative while thriving in a collaborative team environment. You should excel in communicating complex information to senior management convincingly and have strong written and verbal communication skills. Your ability to lead organizational change and influence partners effectively will be highly valued. Preferred qualifications include a PhD or Master's degree in science, data science, math, statistics, or related fields, along with familiarity with regulatory guidance such as SR 11-7, OCC 2011-12, or similar frameworks. Ameriprise India LLP has a rich history of providing client-focused financial solutions for over 125 years. Join our U.S.-based financial planning company headquartered in Minneapolis with a global presence. Our focus areas include Asset Management and Advice, Retirement Planning, and Insurance Protection. Embrace our inclusive and collaborative culture that rewards contributions and offers opportunities for personal and professional growth. If you are a talented individual who values ethical practices and desires to make a positive impact, consider building your career with Ameriprise India LLP. This is a full-time position with working hours from 2:00 PM to 10:30 PM. Join the Business Support & Operations team at Ameriprise India LLP and be part of a dynamic and rewarding work environment.,

Who You&aposll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we&aposll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleaguesat all levelswill invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you&aposll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you wont find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. Youll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firms diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, youll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact You will be part of the Source AI team and will have the opportunity to develop a deep understanding of the domain/function. Source AI is a Gen AI fueled strategic category management platform within Operations practice. It combines internal and external data with McKinseys functional and technological industrial expertise to empower category managers to make informed real-time decisions and unlock new opportunities. It is one of the fastest growing solutions in McKinsey, offering one of a kind exposure to define future the of procurement powered by AI. The Source AI team works with clients globally to deliver value for procurement functions supported by McKinseys extensive expert network. The team is based out of Gurgaon, Bangalore and Chennai. You will work closely with consultants and senior leaders serving clients in North America, Europe, Asia and the Middle East. As a Specialist in Source AI, you will play a crucial role in developing, implementing, and optimizing AI-driven tools and processes. You will collaborate with cross-functional teams to enhance the platform, ensuring seamless client deployment and continuous upgradation of functionalities, as per client demands. You will lead the analyses on key spend categories to identify opportunities through solutions and work with the practice leaders and experts in different regions to continuously build the solution with new functionalities and knowledge. You will connect with external market solutions and establish partnerships that can deliver value to both parties. As you grow in the role, you will mentor analysts on topics related to procurement analyses and delivery of solutions for clients. Your Qualifications and Skills Bachelor&aposs or masters degree in engineering, business or supply chain 5+ years of relevant industry/consulting experience in procurement and supply chain Broad expertise in spending category optimization, both on direct and indirect Exceptional problem-solving ability including logical reasoning, creative thinking, comfort with numbers and the ability to untangle complex issues Understanding of research techniques, information sources, and statistical analysis/analytic techniques relevant to purchasing and operations Strong proficiency in Excel, Word, PowerPoint, and relevant analytics/statistical packages Ability to work effectively with people at all levels in an organization Ability to communicate complex ideas effectively, both verbally and in writing Ability to work well independently, manage own projects Ability to work collaboratively in a team environment Show more Show less

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, your most valuable asset will be the people you work with. Here, you will collaborate with a powerful collective of thinkers and experts to shape innovative solutions for patients, caregivers, and consumers globally. By bringing a client-first mentality to each engagement, you will drive impactful change. Working closely with clients, you will co-create custom solutions and technology products that drive value and deliver results across key areas of their business. Your curiosity for learning, bold ideas, courage, and passion will be essential to driving life-changing impact at ZS. At ZS, we honor and celebrate the visible and invisible aspects of our identities, personal experiences, and belief systems that make us unique individuals. We believe that your personal interests, identities, and eagerness to learn are integral to your success here. Our commitment to diversity, equity, and inclusion is reflected in the networks and support systems we offer to help our team members create thriving community spaces, access necessary resources, and share their voices effectively. ZS's Insights & Analytics group collaborates with clients to develop solutions that address a wide range of business challenges. Working on multiple projects concurrently, our teams utilize advanced data analytics and problem-solving techniques. Our recommendations are grounded in thorough research and analysis, supported by deep expertise and thought leadership. **What You'll Do:** - Develop and implement advanced statistical models to address complex business issues for clients. - Utilize analytic techniques to leverage data for informed decision-making by clients and ZS teams. - Create custom analyses using tools such as R, Tableau, SAS, Visual Basic, and Excel to address client needs. - Communicate results effectively through oral and written presentations to clients and internal teams. - Foster client relationships, serving as a key point of contact for project aspects. - Provide project updates to clients and internal teams. - Deliver project outcomes and implement solutions. - Enhance problem-solving skills and contribute to improving ZS's capabilities. - Mentor and guide Associate team members. **What You'll Bring:** - Bachelor's or master's degree in any discipline with a strong academic background in quantitative and analytic coursework. - Up to 3 years of relevant post-collegiate work experience. - Proficiency in English. - Knowledge of programming languages such as Java, Python, or R. - Familiarity with tools/platforms like the Hadoop ecosystem and database systems. - Demonstrated proficiency in a programming language or analytic tool (e.g., R, SAS, Tableau, VBA). - Strong motivation, work ethic, maturity, and initiative. - Effective communication skills, both oral and written. - Empathy, adaptability, emotional intelligence. - Attention to detail and a quality-focused mindset. - Organizational skills and self-discipline. - Enjoyment of collaborative teamwork. **Perks & Benefits:** ZS offers a comprehensive total rewards package encompassing health and well-being, financial planning, annual leave, personal growth, and professional development. Our skills development programs, career progression options, internal mobility paths, and collaborative environment empower you to thrive both individually and as a global team member. We are committed to providing a flexible and connected work environment. This flexibility allows for a combination of remote work and on-site presence at clients/ZS offices, fostering a culture of innovation and collaboration through face-to-face interactions. **Travel:** Travel is a requirement for client-facing roles at ZS, based on the business needs of projects and clients. While some projects may be local, all client-facing team members should be prepared for travel as necessary. Travel opportunities offer insights into diverse environments and cultures, strengthening client relationships and facilitating professional growth. **Application Process:** Candidates must have or be eligible to obtain work authorization for their intended country of employment. To be considered, applicants must submit an online application along with a complete set of transcripts (official or unofficial). ZS is an equal opportunity employer committed to providing fair employment and advancement opportunities without discrimination based on any protected class under applicable law. We value diversity and inclusivity in our workforce. For more information, visit www.zs.com.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You'll Do - Develop and apply advanced statistical models that help clients understand dynamic business issues. - Leverage analytic techniques to use data to guide client and ZS team decision-making. - Design custom analyses in R, Tableau, SAS, Visual Basic, and Excel to investigate and inform client needs. - Synthesize and communicate results to clients and ZS teams through oral and written presentations. - Develop client relationships and serve as a key point of contact on aspects of projects. - Provide client and ZS teams project status updates. - Create project deliverables and implement solutions. - Advance problem-solving skills and improve ZS's capabilities. - Guide and mentor Associates on teams. What You'll Bring - Experience in working with the Pharma Industry. - Experience in working with real-world data sources such as patient claims data, EMR, consumer data, etc. - Experience in the analysis of large data sets; SQL-R, programming skills. - Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with working with large epidemiological datasets focusing on anonymized data. - 3 - 6 years of work experience with domain knowledge/expertise in Healthcare/Life Sciences/Med Tech is preferred. - MBA with bachelor's (and often graduate) degrees in engineering, business, psychology, or physical/life sciences with a strong academic record of analytic and quantitative work. - Agile project planning and project management skills. - Excellent communication skills. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; the business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

This role is based in Australia at UNSW Canberra's ADFA Campus. As a Lecturer/Senior Lecturer in Mathematics at UNSW Canberra, you will be employed full-time for 35 hours per week on a continuing basis. The remuneration for Level B starts from $127,947 and Level C starts from $155,403, with an additional 17% superannuation contribution. UNSW Canberra, a part of the University of New South Wales, is committed to being thoughtful, practical, and purposeful in all endeavors. The university's impact is globally recognized, being among the top 20 universities worldwide and a proud member of Australia's esteemed Group of Eight. Choosing a career at UNSW means embracing an environment that encourages thriving, facing challenges, and engaging in meaningful work. At UNSW, excellence is fostered, and meaningful contributions are integral to the university experience. The School of Science at UNSW Canberra is looking for a Lecturer or Senior Lecturer in Mathematics to join their team. The School offers a comprehensive program of Mathematics courses, from first to third year, as part of a Bachelor of Science degree majoring in Mathematics or a four-year Honours degree. The School has strong research profiles in Bushfire Research and Number Theory, leading cutting-edge investigations into bushfire behavior and exploring properties of integers through advanced algebraic and analytic techniques. As the ideal candidate, you will have a PhD in a related discipline and/or relevant work experience, demonstrating a commitment to staying updated with discipline knowledge. You will have experience in teaching and learning design at undergraduate and/or postgraduate levels, along with proficiency in educational technologies and online delivery methods. Your passion for educational excellence, ability to support students from diverse backgrounds, and commitment to equity, diversity, and inclusion initiatives will be key strengths for this role. UNSW offers a supportive work environment that values work-life balance, providing access to high-quality services, facilities, and flexible work arrangements. Benefits include flexible working options, additional leave during the festive period, career development opportunities, discounted UNSW courses, free gym access, and a focus on promoting a healthy body, healthy mind, healthy places, and healthy culture. The successful candidate will undergo pre-employment checks before starting the role, as outlined in the Position Description. To apply for this position, submit your application online before Sunday 10 August 2025 at 11:30pm, including your CV and a 12-page cover letter addressing your interest and suitability for the role. For any role-related queries, please contact John-David Dewsbury, Head of School, School of Science, at j.dewsbury@unsw.edu.au. For recruitment process-related queries, reach out to Holly Whale, Talent Acquisition Consultant, at h.whale@unsw.edu.au. Applications should not be sent directly to the contacts listed. UNSW is committed to equity, diversity, and inclusion, encouraging applications from individuals of various backgrounds. Workplace adjustments are provided for people with disabilities, and flexible work options are available for eligible staff.,