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assc. manager, data science analytics Jobs in Mangaluru

assc. manager, data science analytics

avp product analytics

HiveMinds

<div>
 
 
 Job Summary
 
 
 
 
 
 
 We are looking for an experienced leader to head our Product and Data Analytics function. This role will drive the development of AI-powered MarTech products and ensure strong data infrastructure, insights, and reporting. You will lead teams across product, data engineering, and analytics to deliver scalable solutions for clients and internal teams.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Own the end-to-end product lifecycle for internal tools and external SaaS
 
 
 MarTech products
 
 
 &bull; Drive AI/ML, GenAI, and data-led innovation across products
 
 
 &bull; Oversee data lakes, pipelines, dashboards, and reporting to ensure accuracy and
 
 
 scalability
 
 
 &bull; Enable data storytelling for QBRs, reviews, and critical client decisions
 
 
 &bull; Define data SOPs, governance, and quality checks, including finance-ready data
 
 
 &bull; Lead and mentor data engineers, data scientists, and analysts
 
 
 &bull; Support revenue growth by productizing analytics solutions and participating in
 
 
 sales discussions
 
 
 &bull; Manage stakeholders, SLAs, and delivery expectations
 
 
 
 
 
 
 Key Requirements
 
 
 
 &bull; 10+ years of experience in Data Analytics, Data Engineering, or Product
 
 
 Leadership
 
 
 &bull; Strong background in MarTech / Digital Marketing Analytics
 
 
 &bull; Hands-on knowledge of AI/ML, LLMs, Python, SQL, Cloud (AWS/GCP), BigQuery
 
 
 &bull; Experience with BI tools such as Power BI or Tableau
 
 
 &bull; Strong leadership, problem-solving, and stakeholder management skills
 
 
 
 
 
 
 Why Join Us?
 
 
 
 Join us if you enjoy building products, love data, and want to lead the shift from Services to Product + Services using AI and analytics.
 
 
 
 
 
 
 About Hiveminds
 
 
 
 Hiveminds is a data-driven digital marketing and MarTech company focused on helping brands grow through performance marketing, advanced analytics, and proprietary technology solutions. We combine strategy, data, and AI to deliver measurable business impact for leading brands across industries. At Hiveminds, we believe in innovation, ownership, and building products that help our clients dominate their markets.
 
 
 
 
 
 Location- Bangalore (Richmond Road) Hybrid
 
</div>

AVP – Product & Analytics

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Data Scientist (Analytics)
 
 who can combine strong analytical thinking with hands-on data science and product-building skills. You&rsquo;ll own end-to-end problem-solving &mdash; from understanding business challenges, designing analytical frameworks, building scalable data products and models, and communicating insights that drive business action.
 
 
 This role is ideal for someone who enjoys working across analytics, data engineering, and machine learning &mdash; and who thrives in a fast-paced, collaborative environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 End-to-End Data Product Development: Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces.
 </li>
 <li>
 Advanced Analytics &amp; Modeling: Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems.
 </li>
 <li>
 AI &amp; Automation: Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation.
 </li>
 <li>
 Strategic Insights &amp; Storytelling: Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy.
 </li>
 <li>
 Cross-functional Collaboration: Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives.
 </li>
 <li>
 Planning &amp; Execution: Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
 
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in data science, analytics, or data product roles
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Hands-on experience with Tableau or other visualization tools
 </li>
 <li>
 Proven experience with machine learning, statistical modeling, and data-driven experimentation
 </li>
 <li>
 Strong background in handling large, complex datasets and building scalable data pipelines
 </li>
 <li>
 Exceptional problem-solving and analytical thinking skills &mdash; able to break down ambiguity into structured frameworks
 </li>
 <li>
 Excellent communication and storytelling skills &mdash; ability to influence senior stakeholders through clear and compelling narratives
 </li>
 <li>
 Strong project planning, prioritization, and execution capabilities
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/LLM-based analytics or automation solutions
 </li>
 <li>
 Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)
 </li>
 <li>
 Prior experience in e-commerce, marketplace, or retail analytics domains
 </li>
 <li>
 Exposure to data product management or working in cross-functional product teams
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Assc. Manager, Data Science Analytics

Lowe's Companies, Inc.

<div>
 
 
 
 About Lowe's
 
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 
 
 
 
 
 About Lowe's India
 
 
 
 
 Lowe&rsquo;s India, the Global Capability Center of Lowe&rsquo;s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe&rsquo;s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India_lowes.co.in
 
 
 
 
 
 
 
 About the Team
 
 
 
 
 The Enterprise SEO Team ensures that Lowe&rsquo;s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, metadata, and technical elements while conducting ongoing competitive analysis.
 
 
 Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 The Senior Manager, SEO is responsible for building the enterprise-wide foundation for how we do SEO, AEO and GEO. This role will focus on
 
 SEO excellence
 
 and will not be required to manage day-to-day SEO operations and execution, The Sr. Manager will define the standards, governance frameworks, SOPs, measurement models, and experimentation programs that enable cross-functional teams across the organization to build SEO best practices into their organizational processes and execute high-quality, consistent and scalable SEO.
 
 
 
 
 
 He/She will establish and lead the SEO/AEO/GEO center of excellence, creating governance frameworks for all aspects of SEO, playbooks for ensuing upstream hygiene, and lead SEO education and evangelism across Product, Technology, Marketing, Content, UX, and Operations. In parallel, this leader will build a robust analytics and experimentation program that elevates how we measure organic performance, run SEO experiments, and convert insights into action.
 
 
 
 
 
 He/She will partner closely with the SEO Operations Lead, Product and Tech teams (including data, experimentation, and AI/ML partners) to ensure that SEO is embedded into roadmaps, platforms, and decision-making across the digital ecosystem.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 <ul>
 <li>
 Define and maintain enterprise-wide SEO, AEO and GEO governance frameworks, including guiding principles, standards, and decision-rights (RACI) across technical, content, and off-page SEO.
 </li>
 <li>
 Create and own SEO playbooks by function (e.g., Product, Content, UX, Engineering, Merchandising) to codify best practices, do/don&rsquo;t guidelines, and checklists for execution teams.
 </li>
 <li>
 Establish and lead a Center of Enablement (CoE) for SEO, including office hours, consults, documentation, templates, and self-service tools that help teams execute consistently at scale.
 </li>
 <li>
 Develop frameworks and standards for Answer Engine Optimization (AEO) and Generative/AI-driven experiences (GEO), including structured data, entity optimization, and AI-overview visibility.
 </li>
 <li>
 Partner with the SEO operations lead to ensure governance is practical, adoptable, and embedded into workflows, product requirements, content briefs, and QA processes.
 </li>
 <li>
 Collaborate with Product &amp; Engineering to embed SEO requirements and quality gates into platform roadmaps, release processes, and tooling (e.g., CMS, design systems, experimentation platforms).
 </li>
 <li>
 Monitor compliance with SEO governance through periodic audits and dashboards, and drive corrective actions in partnership with stakeholders.
 </li>
 <li>
 Build and lead the SEO experimentation program, including test strategy, governance, and operating model (from hypothesis generation to execution and readouts).
 </li>
 <li>
 Define experimentation standards and best practices for SEO tests (e.g., holdouts, page-level versus template-level experiments, guardrails, minimum detectable effects).
 </li>
 <li>
 Maintain a prioritized experiment backlog in partnership with SEO operations, Product, Tech, and Content teams, aligned with business goals and growth opportunities.
 </li>
 <li>
 Partner with Analytics/Data Science and Experimentation teams to ensure SEO experiments are statistically sound, properly instrumented, and correctly interpreted.
 </li>
 <li>
 Create clear storytelling around experiment outcomes (wins, neutral, and losses) and feed learnings into playbooks, governance updates, and future roadmap decisions.
 </li>
 <li>
 Act as a strategic thought partner to SEO leadership and Digital leadership on the long-term vision for SEO, AEO, and GEO.
 </li>
 <li>
 Influence senior stakeholders across Product, Tech, Marketing, Merchandising, and Operations to adopt SEO best practices and invest in SEO-enabling capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Years of Experience:
 
 
 
 
 
 
 <ul>
 <li>
 8+ years of experience in SEO / Organic Growth in a digital, e-commerce, or product-led environment.
 </li>
 <li>
 3+ years of experience in a senior/lead role focused on enterprise SEO strategy, governance, or analytics/experimentation.
 </li>
 <li>
 Prior experience working in complex, matrixed organizations with multiple stakeholder groups (e.g., Product, Tech, Marketing, Content, UX).
 </li>
 <li>
 Work experience in a large multinational E-commerce organization will be preferred, though not mandatory.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Education Qualification &amp; Certifications (optional)
 
 
 
 
 
 
 Required Minimum Qualifications
 
 
 
 :
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Digital Marketing, Business Analytics, Computer Science,
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 MBA or equivalent advanced degree.
 </li>
 <li>
 Certifications in Web Analytics, Experimentation (e.g., A/B testing), or Data/Business Analytics.
 </li>
 <li>
 SEO-related certifications (e.g., analytics, tag management, or recognized SEO/analytics platforms).
 </li>
 </ul>
 
 
 
 
 
 
 Skill Set Required
 
 
 
 <ul>
 <li>
 Deep expertise across key pillars of SEO (technical, content, on-page, information architecture, and internal linking), with strong familiarity with AEO and emerging GEO/AI search experiences.
 </li>
 <li>
 Proven experience designing and implementing SEO governance frameworks, standards, and playbooks at enterprise scale.
 </li>
 <li>
 Strong background in SEO analytics and reporting, including hands-on experience with web analytics (e.g., GA4 / Adobe), SEO tools (e.g., Search Console, enterprise SEO platforms), and data visualization tools.
 </li>
 <li>
 Demonstrated experience running SEO experimentation and A/B tests, including test design, interpretation, and rollout of learnings.
 </li>
 <li>
 Strong analytical and problem-solving skills; ability to translate data into clear narratives and practical recommendations.
 </li>
 <li>
 Demonstrated ability to define and track metrics and goals in ambiguous environments with multiple stakeholders.
 </li>
 <li>
 Excellent communication skills (verbal, written, and presentation) with the ability to simplify complex SEO concepts for non-technical audiences and senior leadership.
 </li>
 <li>
 Proven ability to collaborate effectively across functions and influence without direct authority.
 </li>
 <li>
 Highly proficient with MS Office Suite (Word, Excel, PowerPoint, and Outlook)
 </li>
 <li>
 Passion for leveraging scaleable technologies such as machine learning and Generative AI.
 </li>
 <li>
 Prior experience in e-commerce or high-scale digital products.
 </li>
 </ul>
 
 
 
 
 
 
 Secondary Skills (desired)
 
 
 
 <ul>
 <li>
 Experience with SQL or data querying and comfort working with large datasets.
 </li>
 <li>
 Familiarity with experimentation platforms and methodologies.
 </li>
 <li>
 Exposure to AI/ML-driven search or content experiences, including schema/structured data, knowledge graphs, and generative AI integration.
 </li>
 <li>
 Passion for building repeatable, scalable systems, and for enabling others through education, tools, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Lowe&rsquo;s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowe&rsquo;s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act&rsquo;s privacy provisions.
 
 
 
 
</div>

Senior Manager - SEO

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 4000000 - Rs 5000000 (ie INR 40-50 LPA)
 
 
 
 Min Experience: 8 years
 
 
 Location: Bengaluru
 
 
 JobType: full-time
 
 
 We are hiring a strategic and growth-oriented
 
 Head of Product
 
 to lead the vision, strategy, and execution of innovative product initiatives, with a strong emphasis on
 
 Loyalty Programs
 
 . This leadership role requires a dynamic product professional who can design and scale customer engagement ecosystems that drive retention, lifetime value, and brand affinity.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 
 Product Vision &amp; Strategy
 
 
 
 <ul>
 <li>
 Define and drive the overall product strategy with a strong focus on designing, scaling, and optimizing Loyalty Programs
 </li>
 <li>
 Build long-term roadmaps aligned with business growth objectives, customer engagement goals, and revenue targets
 </li>
 <li>
 Identify new opportunities to enhance customer retention, rewards structures, gamification models, and partner ecosystems
 
 
 </li>
 </ul>
 
 Loyalty Program Leadership
 
 
 
 <ul>
 <li>
 Architect innovative loyalty frameworks including points-based systems, tiered memberships, subscription benefits, cashback models, and experiential rewards
 </li>
 <li>
 Leverage customer insights and behavioral analytics to personalize engagement strategies
 </li>
 <li>
 Optimize reward economics, customer lifetime value (CLTV), and return on investment (ROI) metrics
 </li>
 <li>
 Drive partnerships and integrations that expand loyalty program value propositions
 
 
 </li>
 </ul>
 
 Execution &amp; Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Lead cross-functional teams across product, engineering, design, analytics, and marketing to deliver high-impact features
 </li>
 <li>
 Translate high-level business goals into clear product requirements and execution plans
 </li>
 <li>
 Oversee end-to-end product lifecycle management from ideation to launch and continuous optimization
 </li>
 <li>
 Establish strong product management processes, agile rituals, and performance tracking frameworks
 
 
 </li>
 </ul>
 
 Data-Driven Decision Making
 
 
 
 <ul>
 <li>
 Define key performance indicators (KPIs) related to engagement, retention, repeat purchase rate, and customer satisfaction
 </li>
 <li>
 Use experimentation frameworks (A/B testing, cohort analysis) to refine loyalty mechanics
 </li>
 <li>
 Continuously monitor market trends and competitor strategies to keep loyalty offerings innovative and competitive
 
 
 </li>
 </ul>
 
 Leadership &amp; Team Building
 
 
 
 <ul>
 <li>
 Build, mentor, and scale high-performing product teams
 </li>
 <li>
 Foster a culture of innovation, accountability, and customer-centric thinking
 </li>
 <li>
 Collaborate closely with executive stakeholders to communicate product performance and strategic direction
 
 
 </li>
 </ul>
 
 What Makes You a Great Fit
 
 
 
 <ul>
 <li>
 8+ years of experience in product management, with significant exposure to building and scaling Loyalty Programs
 </li>
 <li>
 Proven track record of launching customer engagement or rewards platforms that drive measurable business growth
 </li>
 <li>
 Strong understanding of customer lifecycle management, retention strategies, and behavioral economics
 </li>
 <li>
 Experience working in fast-paced, high-growth environments with cross-functional teams
 </li>
 <li>
 Exceptional strategic thinking combined with hands-on execution capability
 </li>
 <li>
 Data-driven mindset with strong analytical and problem-solving skills
 </li>
 <li>
 Excellent leadership, stakeholder management, and communication abilities
 </li>
 <li>
 Ability to balance long-term product vision with short-term deliverables and revenue impact
 </li>
 </ul>
</div>

Head of Product

Tata Consumer Products

<div>
 
 Key Deliverables in this role
 
 
 
 
 
 
 Financial Outcomes
 
 
 <ul>
 <li>
 Drive financial efficiency, value creation, and cost optimization through digital transformation
 </li>
 <li>
 Lead initiatives to automate and streamline operations &amp; process efficiency for Integrated finance leading to reduction in operational costs across Integrated Finance function
 </li>
 <li>
 Delivering sharp focused Projects with value-based prioritization &amp; business case delivery for Key Projects
 </li>
 </ul>
 
 
 
 
 
 Customer Service
 
 
 <ul>
 <li>
 Understand the needs of finance transformation while closely working with stakeholders across Integrated finance and translate them into product functionalities that improve user experience.
 </li>
 <li>
 Enhance service delivery&amp; responsiveness of GCC Organization through digital platforms leading to reduction in manual interventions and enhanced productivity
 </li>
 <li>
 Strengthening reporting structures, aligning management information flows, and improving accuracy for Finance &amp; vendor partner teams, with strong program governance
 </li>
 </ul>
 
 
 
 
 
 Internal Process
 
 
 <ul>
 <li>
 Drive Finance transformation projects in the areas of Procure to Pay, Accounts Receivable, Record to Report, Taxation, etc.
 </li>
 <li>
 Drive integration of ERP with GCC/Taxation/Data &amp; Analytics platforms &amp; drive automation through AI tools.
 </li>
 <li>
 Ensure robust data governance, security, and regulatory compliance.
 </li>
 <li>
 Validate product definitions with risk, fraud, legal, compliance teams.
 </li>
 <li>
 Lead and safeguard agile methodology, ceremonies, and scrum practices to ensure delivery discipline.
 </li>
 </ul>
 
 
 
 
 
 Innovation and Learning
 
 
 <ul>
 <li>
 Build digital capabilities and foster a culture of innovation across Integrated finance teams
 </li>
 <li>
 Leverage tools like ERP, P2P, R2R, BTP and Data Lake to drive tech-enabled innovation.
 </li>
 <li>
 Adopting Gen AI solutions in GCC Org structure and Integrated Finance Areas such as Taxation, Internal Audit
 </li>
 </ul>
 
 
 
 
 
 Critical success factors for the Role
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Finance, Accounting or Technology
 </li>
 <li>
 8&ndash;12years of experience in finance transformation, GCC operations, or M&amp;A strategy
 </li>
 <li>
 Strong understanding of ERP systems, legal tech, shared services platforms, and data analytics tools
 </li>
 <li>
 Proven track record of leading cross-functional digital transformation initiatives
 </li>
 <li>
 Proven ability to translate business needs into digital product strategies, driving measurable outcomes in operational efficiency, compliance, and user experience.
 </li>
 <li>
 Hands-on experience with enterprise platforms and tools such as: Procure-to-Pay (P2P), Record-to-Report (R2R), Data Lake &amp; analytics platforms
 </li>
 <li>
 Strong understanding of agile methodologies, product lifecycle management, and stakeholder engagement in complex, matrixed environments.
 </li>
 <li>
 Graduate or Postgraduate degree in Business Administration, Information Systems, Engineering, or a related field.
 </li>
 <li>
 Formal exposure to Technology Development, Product Management or Digital Strategy, with certifications in Agile, Scrum, or related frameworks considered a plus.
 </li>
 </ul>
 
 
 
 
 
 Desirable success factors for the Role
 
 
 <ul>
 <li>
 
 Change Catalyst
 
 : Challenges the status quo with a visionary mindset, constantly seeking smarter, faster, and more effective ways to deliver value through digital transformation.
 </li>
 <li>
 
 Action-Oriented Leader
 
 : Operates with a strong bias for action and a contagious sense of urgency, driving momentum across teams and initiatives.
 </li>
 <li>
 
 Data-Driven Decision Maker
 
 : Navigates complexity with ease, extracting meaningful insights from data to guide product strategy and business outcomes.
 </li>
 <li>
 
 Problem-Solving Enthusiast
 
 : Approaches challenges with curiosity and creativity, always focused on delivering solutions that make a tangible impact.
 </li>
 <li>
 
 Purpose-Driven Contributor
 
 : Sees the bigger picture&mdash;committed to shaping the future of Finance
 </li>
 </ul>
</div>

Senior Manager – Digital, Integrated Finance

Nykaa

<div>
 
 
 
 About Us
 
 
 
 
 
 
 
 Nykaa.com is India's biggest online destination for beauty &amp; personal care. With over 2500+ brands, 5 lakh+ products and delivery all across India, we strive to be the one-stop-shop for a consumer.
 
 
 
 
 
 We launched Nykaa Fashion in 2018, as a curated and managed marketplace with an endeavour to inspire consumers to make fashion and lifestyle choices that best suit them. We have a wide assortment of offerings, across price points, to cater to women, men and children of diverse demographics. Presently, Nykaa Fashion houses 2,000+ brands and over 2 million products across five consumer segments: women, men, kids, tech and home. Within these consumer segments, we merchandise across several categories including western wear, Indian wear, lingerie, footwear, bags, jewellery, accessories, leisurewear, home d&eacute;cor, bath, bed and kitchen in order to cater to the diverse consumers&rsquo; journeys across our platform. We offer a mix of brands across established national brands, international brands, luxury brands, and emerging labels and designers.
 
 
 
 
 
 Apart from retailing, Nykaa strives to provide advice through its various platforms, like the BeautyBook (bi-monthly magazine), Nykaa Network - A community of millions of beauty and fashion enthusiasts across India, Nykaa TV - its YouTube channel which engages an audience of over 1 million.
 
 
 
 
 
 Nykaa&rsquo;s vision and mission is to inspire and enable each person to thrive in their own uniqueness by creating a community and being a trusted source of information and products to cater to every lifestyle need, by giving choice, inspiration, authenticity and convenience to diverse consumers.
 
 
 
 
 
 
 
 Position Name
 
 : Analyst III
 
 
 
 
 
 
 Data in the current business environment is the key for business success. As a senior leader, you will be responsible to convert the immense data that we generate into actionable insights for business and product teams. You should have the ability to challenge the status quo by providing thought leadership, developing team competency, bringing industry best practices and building strong relationships across business and product functions.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Problem and opportunity assessment
 </li>
 <li>
 Leverage data and voice of customers to understand business and customer problems, emerging customer and competitor trends and areas for product development. Identify, strategize, and prioritise analytics initiatives for quick wins as to fast track mid/long term success
 </li>
 <li>
 High Impact insights and strategic recommendations
 </li>
 <li>
 Define and standardise key performance scorecards with close collaboration with BI
 </li>
 <li>
 Establish frameworks and provide guidance to analysts to derive and share actionable insights including forecast, trend analysis, feature impact and ROI
 </li>
 <li>
 Partner with cross-functional teams to influence roadmap planning and strategic decision-making based on predictive insights and model outputs.
 </li>
 <li>
 Proactively identify opportunities for advanced modelling to solve critical business problems and influence product and marketing strategies.
 </li>
 </ul>
 
 
 
 
 
 
 Capabilities
 
 
 
 
 
 
 <ul>
 <li>
 Excellent problem solving and comprehensive analytical skills - ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights
 </li>
 <li>
 
 Strong statistical modelling expertise
 
 : Proven hands-on experience in building and validating models including regression, classification, clustering, time-series forecasting, and experimentation (A/B testing frameworks).
 </li>
 <li>
 
 Deep proficiency in Python
 
 for data analysis and modelling (Pandas, NumPy, scikit-learn, statsmodels, etc.); comfort with SQL and basic data engineering practices.
 </li>
 <li>
 Think strategically, exponentially and understand the &lsquo;big picture&rsquo;
 </li>
 <li>
 Strong communication and presentation skills - ability to connect the dots through data, communicate and present with impact to all levels of the organization
 </li>
 <li>
 Intellectual Curiosity - Initiative to dig into the who, why, where, what &amp; how. Curiosity about business and customer behaviour
 </li>
 <li>
 Ability to inspire and motivate teams, understand and apply situational leadership as needed.
 </li>
 <li>
 Solid experience in various tools and technologies - SQL, Excel, Python/R, Clickstream analytics, Tableau (is a plus)
 </li>
 <li>
 Experience of working with e-commerce/consumer tech is a plus
 </li>
 <li>
 Extremely positive &lsquo;Can do&rsquo; attitude which continuously drives you to take initiatives and demonstrate high degree of self motivation
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Analytics, computer science or related fields
 </li>
 <li>
 6-9 years of experience in data and business analytics with 2+ years of junior-mid analytics leadership experience
 </li>
 </ul>
 
 
</div>

Analyst - III

<div>
 
 Roles &amp; Responsibilities
 
 
 
 The Lead Data Analyst's primary responsibility is to deliver Business Insights &amp; Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research &amp; experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization.
 
 
 
 Analytical &amp; Technical Skills
 
 
 
 The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
 
 
 The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
 
 
 Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice &amp; Digital), Client handling, and web data handling would be added advantage.
</div>

Data Analyst-Business Analytics-Data Scientist

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