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Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 8 years
 
 
 Location: Bengaluru
 
 
 JobType: full-time
 
 
 We are seeking a dynamic and strategic
 
 Head of Analytics
 
 to lead our data-driven initiatives and transform business insights into actionable strategies. The ideal candidate will have extensive experience in analytics, cloud platforms, and data visualization, combined with strong leadership skills to drive an analytics-driven culture across the organization.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the analytics function, overseeing the design, development, and deployment of end-to-end data solutions.
 </li>
 <li>
 Drive business strategy using insights derived from large-scale data analysis, predictive modeling, and reporting tools.
 </li>
 <li>
 Manage and optimize cloud-based analytics infrastructure on platforms such as Azure and AWS, ensuring high availability, security, and scalability.
 </li>
 <li>
 Architect and implement data pipelines, databases, and ETL processes using SQL, MongoDB, and other relevant technologies.
 </li>
 <li>
 Design and maintain dashboards, reports, and visualizations using MetaBase, Power BI, and Amazon QuickSight to support business decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams including Product, Marketing, Finance, and Operations to identify analytics needs and deliver actionable insights.
 </li>
 <li>
 Establish best practices for data governance, quality, and analytics processes across the organization.
 </li>
 <li>
 Mentor and guide a team of data analysts, data engineers, and BI specialists, fostering a culture of continuous learning and innovation.
 </li>
 <li>
 Evaluate and implement new analytics tools, platforms, and methodologies to enhance business intelligence capabilities.
 
 
 </li>
 </ul>
 
 Key Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 8-10 years of experience in analytics, data science, or business intelligence roles, with at least 3-5 years in a leadership position.
 </li>
 <li>
 Hands-on expertise with cloud platforms such as Azure and AWS for analytics and data storage solutions.
 </li>
 <li>
 Strong programming skills in Python for data manipulation, analysis, and predictive modeling.
 </li>
 <li>
 Extensive experience in relational and non-relational databases, including SQL and MongoDB.
 </li>
 <li>
 Proficiency in data visualization and reporting tools such as MetaBase, Power BI, and Amazon QuickSight.
 </li>
 <li>
 Deep understanding of data analysis, statistical modeling, and deriving actionable business insights.
 </li>
 <li>
 Strong business acumen, problem-solving skills, and the ability to translate complex data into actionable recommendations.
 </li>
 <li>
 Excellent leadership and communication skills, capable of influencing stakeholders across all levels of the organization
 </li>
 </ul>
</div>

Head Of Analytics

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

Senior Data Scientist

Myntra

<div>
 
 
 Who are we ?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 
 
 
 
 About the Role:
 
 
 
 As a Lead Associate - Business Analytics, you will play a crucial role in driving business insights and strategic decision-making through data analysis and interpretation. Your contributions will have a direct impact on optimizing operations, enhancing performance, and guiding business growth.
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 
 
 
 <ol>
 <li>
 Perform data analysis to identify trends, patterns, and opportunities for improvement.
 </li>
 <li>
 Develop predictive models and data visualizations to support decision-making processes.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
 </li>
 <li>
 Conduct deep-dive analyses to generate actionable insights and recommendations.
 </li>
 <li>
 Monitor and report on key performance indicators to track the success of analytical initiatives.
 </li>
 </ol>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master's degree in Business Analytics, Statistics, Data Science, Computer Science, or related field.
 </li>
 <li>
 Strong analytical skills and proficiency in data manipulation and visualization tools (e.g., SQL, Python, Tableau).
 </li>
 <li>
 Experience with statistical modeling and predictive analytics techniques.
 </li>
 <li>
 Excellent communication and presentation skills to convey complex data insights to non-technical stakeholders.
 </li>
 <li>
 Certifications in relevant analytics tools or methodologies are a plus.
 </li>
 </ul>
 
 
</div>

Lead Associate - Business Analytics

Indegene

<div>
 
 We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com
 
 
 
 
 
 Looking to jump-start your career?
 
 
 We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth
 
 
 
 
 Role: Senior Manager - Data &amp; Analytics
 
 
 
 
 
 Description:
 
 You will be responsible for: We are seeking a dynamic and experienced Senior Manager/Director to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.
 
 
 &bull; Leads analytic engagements managing all stakeholders
 
 
 &bull; Work closely with clients to comprehend their requirements and varied objectives including (but not limited to) implementation of Omnichannel strategy
 
 
 &bull; Lead the assessment of existing ecosystems across key pillars, including client business portfolio plans &amp; objectives, technical architecture, data/ML models etc and challenge conventional approaches as needed
 
 
 &bull; Identify and recommend thoughtful next steps and strategies. Collaborate with cross-functional teams to design and implement the optimal solution, ensuring seamless integration with existing processes
 
 
 &bull; Find creative and innovative solutions to increasingly complex problems. Leverage pharma industry exposure to provide strategic insights and recommendations for stated client objectives
 
 
 &bull; Makes quantitatively-oriented recommendations to solve business problems &amp; demonstrate proficiency in understanding and working with diverse datasets, and assess their suitability for integration into the proposed solution
 
 
 &bull; In-charge of discovery and requirements gathering. Apply data science skills to ensure robust and scalable model deployment.
 
 
 &bull; Foster strong client relationships, serving as a trusted advisor and ensuring client satisfaction throughout the implementation process
 
 
 &bull; Provide training and support to internal teams to ensure smooth and continued success on project implementations
 
 
 &bull; Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
 
 
 &bull; Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements
 
 
 &bull; Support business development activities by building new capabilities and participating in client meetings as a subject matter expert
 
 
 &bull; Provide thought leadership by contributing to whitepapers and articles at the BU and organization level
 
 
 &bull; Monitor industry trends and implement best practices to improve in-house capabilities
 
 
 &bull; Enforces all policies and procedures for programming, project documentation, and system management
 
 
 
 
 
 We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.
 
 
 
 
 
 &bull; Bachelor's degree in Business Administration, Computer Science, or related field (Master's degree preferred).
 
 
 &bull; Overall 13+ years of experience and 5+ overall years of experience in leading analytical projects in pharma domain
 
 
 &bull; Experience in pharma omnichannel analytics or in at least 2 among sales force analytics, patient analytics, digital analytics, commercial analytics domains
 
 
 &bull; Experience in Advanced analytics including Statistics, Gen AI, Ensemble, deep learning predictive models and MLOPs
 
 
 &bull; Strong understanding of the pharma ecosystem and familiarity with key data sources, industry trends, and compliance requirements
 
 
 &bull; Experience in areas of risk-score modelling, customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modelling, recommendation engines and natural language processing will be an added advantage
 
 
 &bull; Exceptional client management and communication skills, with a demonstrated ability to build and nurture relationships
 
 
 &bull; Strong analytical and problem-solving abilities, with a keen attention to detail and willing to learn in a fast-paced environment
 
 
 &bull; Excellent project management skills, including the ability to prioritize tasks, manage timelines, and deliver on commitments
 
 
 &bull; Willing to work in a highly demanding and result-oriented team environment
 
 
 &bull; Excellent communication skills; able to grasp and communicate complex ideas clearly
 
 
 
 
 
 Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.
 
</div>

Senior Manager - Data & Analytics

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The
 
 
 Lead, HR-Operations
 
 
 is responsible for managing end-to-end HR Operations in the India Development Centre, Bangalore, and DHR Holdings Pvt Ltd. where-in you will get the opportunity to work with multiple Operating companies and gain insightful experience of working in a multi-cultural environment and lead a team of HR Operations Specialists.
 
 
 The role holder will be responsible for providing comprehensive guidance, support and coordination for various HR functions within the HR Operations team. The ideal candidate will have a strong background in HR operations, with a specific focus on talent analytics and insights. This role will be responsible for leading HR operations, driving talent analytics initiatives, and providing strategic insights to support our organizational goals.
 
 
 This position is part of the
 
 HR function
 
 and will be based in
 
 Bangalore.
 
 
 
 
 In this role, you will have the opportunity to oversee and lead a team of HR Operations Executives:
 
 
 
 <ul>
 <li>
 Creating a Streamlined HRSS model for IDC, DHR Holdings and Corporate functions in India by leveraging the existing tools, simplifying and streamlining the HR Operations standard work
 </li>
 <li>
 Creating the strategy and plan for HRSS readiness for all entities of India and preparedness for migration to ServiceNow (or the defined system) in the future
 </li>
 <li>
 Being the architect of One Associate Experience across the entities being handled and being future ready for all entities in India
 
 
 </li>
 </ul>
 Process management
 
 
 <ul>
 <li>
 Partner with business teams, HRBPs and other CoEs on key HR Processes
 </li>
 <li>
 Analyze Data &amp; bring out insights related to the HR processes at India level
 </li>
 <li>
 Maintain and strengthen HR projects and initiatives, including policies and procedures.
 </li>
 <li>
 Foster positive relationships with internal stakeholders to understand their needs and provide effective solutions
 
 
 </li>
 </ul>
 HR Operations management
 
 
 <ul>
 <li>
 Manage and process employee lifecycle events including onboarding, offboarding, promotions, transfers, and terminations.
 </li>
 <li>
 Maintain accurate employee records and update HR systems to ensure data integrity and compliance.
 </li>
 <li>
 Preparation and processing of payroll, ensuring timely and accurate payments.
 
 
 </li>
 </ul>
 
 Compliance And Reporting
 
 
 
 <ul>
 <li>
 Ensure HR compliance with company policies, procedures, and legal requirements.
 </li>
 <li>
 Prepare and maintain statutory HR reports, metrics, and analytics to support business decisions and HR initiatives.
 </li>
 <li>
 Assist with internal and external audits by providing necessary documentation and information.
 
 
 </li>
 </ul>
 
 The Essential Requirements Of The Job Include
 
 
 
 <ul>
 <li>
 Minimum 12+ years of HR Operations in a HR Shared Services environment
 </li>
 <li>
 Strong understanding of HR practices and employment laws
 </li>
 <li>
 Experience in Payroll, Compensation, HR analytics, and ERP (Workday) would be advantageous.
 </li>
 <li>
 Proficiency in HRIS systems, Microsoft Office Suite, and other relevant software.
 </li>
 <li>
 Degree in Human Resources Management is preferred
 </li>
 <li>
 Excellent communication, interpersonal skills and stakeholder management
 </li>
 <li>
 Ability to handle sensitive and confidential information with discretion.
 </li>
 <li>
 Strong organizational skills and attention to detail.
 </li>
 <li>
 Ability to multitask and manage multiple priorities in a fast-paced environment.
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Lead, HR Operations

PhonePe

<div>
 
 About PhonePe Limited:
 
 
 
 Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
 
 
 PhonePe&rsquo;s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company&rsquo;s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
 
 
 
 Culture:
 
 
 
 At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you&rsquo;re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
 
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 6+ years of experience in data science, machine learning, or applied statistics. Experience in financial services, fintech, e-commerce, or similar data-driven industries.
 </li>
 <li>
 Strong expertise in Python, SQL with proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of big data technologies (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in model deployment using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in statistical modeling, predictive analytics.
 </li>
 <li>
 Experience working with real-time and batch-processing systems.
 </li>
 <li>
 Demonstrated ability to translate business problems into data science solutions.
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in financial services, fintech, e-commerce, or similar data-driven industries.
 
 
 </li>
 </ul>
 
 PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
 
 
 
 <ul>
 <li>
 Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
 </li>
 <li>
 Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
 </li>
 <li>
 Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
 </li>
 <li>
 Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
 </li>
 <li>
 Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
 </li>
 <li>
 Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
 
 
 </li>
 </ul>
 
 
 Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,
 
 
 
 
 please fill out this form.
 
 
 
 
 
 
 Read more about PhonePe
 
 
 
 
 on our blog
 
 
 
 
 .
 
 
 
 
 
 Life at PhonePe
 
 
 
 
 PhonePe in the news
 
</div>

Data Scientist (6 to 8 Years)

<div>
 
 Company Description
 
 
 
 WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.
 
 
 
 Job Description
 
 
 
 Generally 5+ years of experience in market research, handling retail &amp; CPG data for analysis, advance reporting and consulting to CPG clients.
 
 
 
 Key Responsibility:
 
 Execute project, analysis and provide insights as a SME and consult client on their marketing business problems.
 
 
 
 Key Skills:
 
 
 
 <ul>
 <li>
 Advance knowledge on Nielsen/IRI data- Retail measurement Services and consumer panel services data. AND/OR
 </li>
 <li>
 Advance knowledge on Brand Health Track (or any other similar survey based datasets like product/concept test etc).
 </li>
 <li>
 Advance data analysis, visualization and insight generation skill using above mentioned datasets.
 </li>
 <li>
 Ability to ideate and deliver solutions around marketing business problems e.g. Pricing, Promotion, New Launch, Category development, competitive analysis, consumer behaviour, segmentation etc.
 </li>
 <li>
 Advance knowledge of MS Excel (must) while Basics PBI skill will be an added advantage.
 </li>
 <li>
 Ability to perform complex data analysis, draw insights from multiple datasets and develop solutions using multiple datasets e.g. Nielsen, HHP, Brand Health Track, Global Campaigns etc
 
 
 
 </li>
 </ul>
 
 Job Description:
 
 
 
 Lead a team of 1-3 analysts to deliver analytical solutions and insights for client business problems by leveraging varied data sets ranging from Usage &amp; Attitude/ Habits &amp; Practices data, Brand Health/ Equity studies, Concept Product testing, Point of Sale/ Sales data etc
 
 
 Managing the project life cycle end to end right from understanding the client brief, designing the appropriate solution/proposal to delivery of actionable insights and recommendations; ensuring quality control across the entire delivery chain Own the engagement with the key client stakeholders ensuring client delight with the engagement and renewal of business annually
 
 
 Develop a complete understanding of the client&rsquo;s business environment, goals, challenges so as to proactively identify areas where WNS can provide solutions thus strengthening the engagement as well as farming additional business to grow revenues
 
 
 Coach the team of analysts on best practices for creating analytical frameworks, mining insights and effective communication
 
 
 Collaborate with broader Data Science and Data Engineering teams on projects as needed.
 
 
 While this is a team leader role, the individual will also be expected to be hands on with the delivery process across all tasks from data extraction, transformation and analysis
 
 
 Requirements:At least 4 years of experience in the CPG / FMCG domain working with data and insights as an agency partner or on the client side ; understanding of marketing frameworks and their application
 
 
 Must be familiar with syndicated data sets such as Nielsen/ IRI, Household Panel data as well as custom survey data sets such Brand Health Tracks, Concept/ product/ communication pre testing with expert level knowledge of at least some of these
 
 
 Must be able to break down a business problem into analytical questions, formulate hypothesis and then validate or invalidate the hypothesis on the basis of data, must be able to generate insights that are actionable for the business
 
 
 Expertise in Excel, PowerPoint with working knowledge of PowerBI Strong communication skills
 
 
 
 Qualifications
 
 
 
 MBA
</div>

REF74383X- Market research(Brand health track Or Nielsen RMS) FMCG/CPG domain 6 yrs - Deputy Manager - RNA

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