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business analytics analyst

senior data analyst

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.
 
 
 Senior Manager &ndash; Analytics
 
 
 Location: eBay India Analytics Center (Bangalore)
 
 
 Function: Global Analytics Team &ndash; Focus Categories (Fashion, Collectibles, Vehicles Parts &amp; Accessories, Live Commerce)
 
 
 eBay&rsquo;s India Analytics Center is a core part of the global analytics organization, with 75+ highly skilled business analysts, data scientists, and ML engineers supporting key functions across finance, category management, seller support, shipping and logistics, and monetization. We are now seeking a Senior Manager &ndash; Analytics to lead analytics and data science initiatives for our Focus Categories, which represent eBay&rsquo;s most strategic bets.
 
 
 This leadership role is ideal for a seasoned analytics professional with deep technical expertise, strong business acumen, and proven experience in building and leading high-performing teams in a consumer internet environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Leadership &amp; Team Management
 </li>
 <li>
 Lead, mentor, and develop a team of 20+ business analysts and data scientists, fostering a culture of innovation, collaboration, and problem-solving.
 </li>
 <li>
 Drive adoption of best practices in analytics, experimentation, and machine learning deployment.
 </li>
 <li>
 Analytics &amp; Data Science Delivery
 </li>
 <li>
 Design and deliver interactive dashboards, AI-driven data products, and predictive ML models to enable business-critical decision-making.
 </li>
 <li>
 Lead initiatives to predict customer behavior, including purchase patterns, CRM campaign responses, and churn/upsell/cross-sell potential.
 </li>
 <li>
 Oversee product analytics efforts, including experiment design, A/B testing, and statistical validation, to optimize customer experiences and business outcomes.
 </li>
 <li>
 Business Partnership &amp; Stakeholder Management
 </li>
 <li>
 Act as the primary analytics partner to senior business leaders in Focus Categories (Fashion, Collectibles, Vehicle Parts &amp; Accessories, Live Commerce).
 </li>
 <li>
 Translate complex data insights into actionable recommendations, influencing strategic decisions across category management and customer engagement.
 </li>
 <li>
 Represent the India Analytics Center to global stakeholders, building trust and credibility through impactful delivery.
 </li>
 <li>
 Innovation &amp; Thought Leadership
 </li>
 <li>
 Champion the application of advanced ML modeling techniques to business challenges.
 </li>
 <li>
 Identify opportunities to leverage emerging technologies and tools in AI/ML for competitive advantage.
 </li>
 <li>
 Drive continuous improvement in analytics methodologies, data quality, and automation.
 
 
 
 </li>
 </ul>
 
 Candidate Qualifications
 
 
 
 <ul>
 <li>
 Experience
 </li>
 <li>
 12&ndash;15 years of progressive experience in data analytics and data science, with at least 5+ years in leadership roles.
 </li>
 <li>
 Proven track record of applying analytics in a consumer internet / e-commerce environment highly preferred.
 </li>
 <li>
 Strong people management experience, with demonstrated ability to lead and scale teams of 15+ professionals.
 </li>
 <li>
 Technical Expertise
 </li>
 <li>
 Hands-on background as an analyst/data scientist, with deep proficiency in SQL, R, Python, and standard ML libraries.
 </li>
 <li>
 Exposure to advanced ML techniques (predictive modeling, classification, clustering, recommendation engines, NLP).
 </li>
 <li>
 Expertise in product analytics: experimentation frameworks, A/B testing platforms, and causal inference techniques.
 </li>
 <li>
 Strong understanding of data visualization, BI tools, and dashboard design.
 </li>
 <li>
 Educational Background
 </li>
 <li>
 Degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Economics, or related field. Advanced degree (Master&rsquo;s/PhD) is a plus.
 </li>
 <li>
 Leadership &amp; Soft Skills
 </li>
 <li>
 Excellent stakeholder management skills, with the ability to communicate complex analyses to non-technical audiences and influence at senior levels.
 </li>
 <li>
 Strong problem-solving mindset with a bias for action and an entrepreneurial spirit.
 </li>
 <li>
 Passion for leveraging AI and data science to solve high-impact business problems.
 
 
 
 </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>

Sr. Manager Analytics & Data Science

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>

Senior Analyst

Levi Strauss & Co.

<div>
 
 Job Description
 
 
 
 
 Calling all originals:
 
 At Levi Strauss &amp; Co., you can be yourself &mdash; and be part of something bigger. We&rsquo;re a company of people who like to forge our own path and leave the world better than we found it. We believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit &mdash; and your future.
 
 
 We&rsquo;re looking for a curious, analytical, and collaborative
 
 Data Analyst
 
 to join our
 
 Global
 
 
 Merchandise Planning Insights
 
 team. This role supports the planning function by transforming data into actionable insights that drive product, pricing, and inventory decisions across our global business. You&rsquo;ll work closely with your manager and cross-functional partners in Planning, Merchandising, Finance, and Cluster teams to uncover trends, monitor performance, and support strategic initiatives that fuel growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze product performance, customer behavior, and commercial KPIs across global markets.
 </li>
 <li>
 Support weekly, monthly, and seasonal reporting cycles, including hindsight recaps and business reviews.
 </li>
 <li>
 Build and maintain dashboards and visualizations to track product success and business health.
 </li>
 <li>
 Translate complex datasets into clear, actionable insights for planning and merchandising teams.
 </li>
 <li>
 Collaborate with cluster teams to identify global themes and local nuances in product performance.
 </li>
 <li>
 Ensure data quality and consistency across reporting tools and sources.
 </li>
 <li>
 Contribute to the development of data governance practices, including metric definitions and documentation.
 </li>
 <li>
 Participate in cross-functional projects to improve reporting capabilities and business outcomes.
 </li>
 <li>
 Support brand and tier level rollups and forecasts
 </li>
 <li>
 Read and react to sales trends via chase and fabric positioning
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Analytics, Statistics, or a related field.
 </li>
 <li>
 3&ndash;5 years of experience in data analytics, business intelligence, or planning.
 </li>
 <li>
 Strong analytical skills with the ability to interpret data and tell compelling stories.
 </li>
 <li>
 Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
 </li>
 <li>
 Familiarity with key retail metrics such as sell-through, AOV, UPT, and return rates.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 A growth mindset and a passion for continuous learning and improvement.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.
 
 
 
 Here's a Small Snapshot
 
 
 
 <ul>
 <li>
 Complimentary preventive health check-up for you &amp; your spouse
 </li>
 <li>
 OPD coverage
 </li>
 <li>
 Best in class leave plan including paternity &amp; family care leaves
 </li>
 <li>
 Counselling sessions to prioritize mental well-being
 </li>
 <li>
 Exclusive discount vouchers on Levi&rsquo;s products
 
 
 </li>
 </ul>
 
 We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request.
 
 
 To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
 
 
 
 
 LOCATION
 
 
 
 India, Bangalore - Office
 
 
 
 FULL TIME/PART TIME
 
 
 
 Full time
 
 
 
 Current LS&amp;Co Employees, apply via your Workday account.
 
</div>

Data Analyst, Product Performance Analytics

Recro

<div>
 
 
 Senior Business Analyst - Financial Markets Low-Code Platform
 
 
 
 
 Location: Bangalore
 
 
 
 
 Experience: 5-10 yrs
 
 
 
 
 
 
 We are seeking a
 
 technically-minded Senior Business Analyst
 
 who thrives on solving complex problems. This pivotal role requires exceptional
 
 communication skills
 
 as you&rsquo;ll bridge the gap between our financial market clients (IT and business users) and our internal Development and Product teams. You&rsquo;ll be crucial in ensuring our solutions are integrated seamlessly into the client's wider business flows and systems.
 
 
 
 
 
 
 What You'll Do (The Hats You'll Wear)
 
 
 
 
 
 <ul>
 <li>
 
 Client Interface &amp; Requirement Gathering:
 
 Serve as the primary interface with clients, gathering detailed solution requirements across multiple parallel assignments.
 </li>
 <li>
 
 Context &amp; Data Analysis:
 
 Deeply analyze current/proposed business processes and client data to uncover crucial context, requirements, and potential gaps.
 </li>
 <li>
 
 Documentation &amp; Communication:
 
 Distill complex client context and requirements into clear, concise documents and diagrams for both internal teams and the client.
 </li>
 <li>
 
 Solution Design &amp; Strategy:
 
 Work closely with the Technical Architect and Product Development teams, providing critical input on business requirements to shape the detailed solution design.
 </li>
 <li>
 
 Presentation &amp; Validation:
 
 Present both captured requirements and new solution features back to the customer.
 </li>
 <li>
 
 QA &amp; Process Improvement:
 
 Perform an essential degree of QA/review for new product releases and contribute to company-wide process improvements.
 </li>
 <li>
 
 Sales &amp; Marketing Support:
 
 Assist the Sales team in customer discussions, contribute to RFPs/proposals, and provide input for marketing material.
 </li>
 <li>
 
 Reusability Focus:
 
 Identify where new solutions can overlap with and reuse elements from our existing product suite.
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring (Your Experience)
 
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 
 5-10 years
 
 of proven industry experience as a Business Analyst in building
 
 Capital Markets solutions
 
 that process financial instruments.
 </li>
 <li>
 
 Financial Acumen:
 
 A strong understanding of financial application practices and knowledge of typical business flows in one or more asset types (
 
 equities, fixed income, FX, listed future and option, OTC derivatives
 
 ).
 </li>
 <li>
 
 Technical &amp; Analytical Skills:
 
 The ability to
 
 translate business concepts into system requirements
 
 and perform detailed
 
 gap analysis
 
 .
 </li>
 <li>
 
 Methodology:
 
 Proven experience following
 
 Agile Software Development
 
 practices.
 </li>
 <li>
 
 Collaboration:
 
 Demonstrated experience working effectively with senior
 
 business stakeholders and external clients
 
 .
 </li>
 <li>
 
 Engagement:
 
 The ability to constructively critique and participate in both technical and functional discussions with talented technical architects and lead developers.
 </li>
 <li>
 
 Education:
 
 BE/BSc (or higher) or equivalent work experience.
 </li>
 </ul>
</div>

Business Analyst

PwC Acceleration Center India

<div>
 
 Job Summary:
 
 
 
 
 
 Role:Guidewire Senior Business Analyst - PolicyCenter
 
 
 Minimum of 4 to 10 years of experience
 
 
 Role: Guidewire Senior Business Analyst - PolicyCenter
 
 
 Minimum Degree Required
 
 
 Bachelor&rsquo;s Degree
 
 
 
 
 
 Preferred Knowledge/Skills:
 
 
 Demonstrates expert abilities providing functional solutioning for the Guidewire Suite of applications on premises and SaaS, with proven success executing and leading all aspects of complex engagements within the Guidewire product suite achieving on-time and on-budget delivery, as well as the following:
 
 
 Demonstrates expert abilities managing ITIL Processes; Tracking SLA&rsquo;s, and contracting;
 
 
 Demonstrates advanced abilities providing solution strategy and Application Evolution Services (AES, formerly AMS) delivery as a Guidewire Functional Lead. Employees in the Functional Lead position should think of themselves and be regarded by the client as a trusted advisor and think strategically about how to create value using the Guidewire Suite of products;
 
 
 Demonstrates expert abilities with ITIL Incident and Problem management for the Guidewire Suite of applications as it will be critical that Senior Business Analyst in this position are capable of navigating both business processes as well as enterprise solution perspectives at high level and holistic view;
 
 
 Demonstrates expert abilities and/or a proven record of success in leading proposal development efforts; Senior Business Analyst in these positions should be capable of delivering Advisory-level work and be able to discuss future enhancements in Guidewire roadmap discussions with the client;
 
 
 With a focus on AES, demonstrates expert organization skills and abilities assisting clients in the support of Guidewire Suite solutions and improving business processes; and taking a proactive approach to quality;
 
 
 Demonstrates expert abilities developing solutions based on common issues facing clients in all lines of the P&amp;C Industries (e.g., Auto, Home, Commercial, Workman&rsquo;s Comp, etc.).
 
 
 Demonstrates expert abilities identifying and addressing client needs by: Developing and sustaining impactful client relationships using networking, negotiation and persuasion skills to identify and sell potential new service opportunities; Preparing and presenting complex written and verbal materials; and, Defining resource requirements, project workflow, budgets, billing and collection;
 
 
 Demonstrates expert abilities guiding team and motivating, creating a community of high performing professional consultants, creating an atmosphere of trust, leveraging diverse views, coaching staff, and encouraging improvement and innovation;
 
 
 Senior Business Analyst will be responsible for utilization and learning perspective of the team. Mentoring and helping to upskill junior resources will be critical in this role;
 
 
 Demonstrates intimate abilities and/or a proven record of success developing strategy as well as writing, communicating, facilitating, and presenting cogently; to and/or for all levels of industry audiences, clients and internal staff and management, such as presentation slides, practice marketing materials, change management plans and/or project plans, workshops and whitepapers, practice, methodologies and tools, policies and procedures, and/or other standard business communications;
 
 
 Be comfortable, thrive, and available during sustained period of time of instability with client's Guidewire solution and escalations; and,
 
 
 Key contributor and thought leader internally and externally with white papers, blogs, and training.
 
 
 Technologies
 
 
 Guidewire PolicyCenter, BillingCenter, ClaimCenter and ContactManager - leading requirement gathering sessions, conduct analysis, develop functional specifications and perform business walkthroughs;
 
 
 User story creation/updation, developing process flows, UI mock ups, and devloping data mapping in the standard Guidewire recommended user stories;
 
 
 Familiarity with Use case, SWOT analysis, Mindmapping, PESTLE analysis; Product Designer
 
 
 Usage of Tools JIRA, Confluence, ServiceNow, Splunk and familiarity with SQL
 
 
 
 
 
 
 
 
 Interested candidateplease share the cv to indumathi.j@pwc.com
 
 
 
</div>

Kobie

<div>
 
 Join our India Tech Hub &ndash; Be among the first hires!
 
 
 
 Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world&rsquo;s most recognized brands while working alongside some of the best and brightest in loyalty.
 
 
 
 About The Team And What We Will Build Together
 
 
 
 Data is at the core of everything we do at Kobie. This role is part of a high performing data and analytics team within Kobie that is responsible for helping our clients extract maximum value from their loyalty data. From churn models to chatbots, this hands-on role will have exposure to a massive dataset to help directly impact how Kobie provided value for our clients.
 
 
 As a Sr. Data Scientist, you will play a pivotal role in analyzing complex datasets to extract insights that enhance customer loyalty programs. You will collaborate with cross-functional teams to design and optimize data models, generate predictive insights, and contribute to the strategic growth of our clients. This is an exciting opportunity for a passionate data scientist to make a direct impact on customer engagement strategies through innovative analytics
 
 
 
 How You Will Make An Impact
 
 
 
 <ul>
 <li>
 Lead the design and delivery of advanced analytics solutions that enhance customer loyalty programs
 </li>
 <li>
 Collaborate with strategists, product teams, and engineers to translate business needs into data-driven solutions
 </li>
 <li>
 Develop and optimize predictive models, personalization engines, and customer segmentation strategies
 </li>
 <li>
 Apply AI/ML techniques&mdash;including Generative AI and LLMs&mdash;to drive innovation in loyalty and CRM use cases
 </li>
 <li>
 Mentor junior data scientists, share best practices, and contribute to Kobie&rsquo;s growing analytics culture
 
 
 </li>
 </ul>
 
 What You Need To Be Successful
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field
 </li>
 <li>
 7+ years of experience in data science, including leading projects end-to-end and mentoring others (5+ years may be considered with strong leadership experience)
 </li>
 <li>
 Proficiency in Python and SQL; working knowledge of R
 </li>
 <li>
 Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and statistical modeling (predictive analytics, clustering, segmentation, causal inference)
 </li>
 <li>
 Hands-on expertise with data visualization tools (Tableau, Looker, Power BI) for insight storytelling
 </li>
 <li>
 Familiarity with data warehousing and cloud data platforms (Snowflake, AWS, GCP, or Azure)
 </li>
 <li>
 Strong communication skills, with the ability to translate technical insights into actionable recommendations for non-technical audiences.]
 </li>
 <li>
 Preferred Skills:
 </li>
 <li>
 Experience applying analytics to loyalty programs, CRM systems, or marketing personalization
 </li>
 <li>
 Knowledge of A/B testing and experiment design
 </li>
 <li>
 Experience with big data ecosystems (Spark, Hadoop) and NoSQL data modeling
 </li>
 <li>
 Hands-on experience with Generative AI / LLMs, including fine-tuning, retrieval-augmented generation (RAG), or evaluation frameworks
 </li>
 <li>
 Familiarity with customer loyalty KPIs (enrollment, earn/burn, churn, engagement) and how to optimize them through data science
 
 
 </li>
 </ul>
 
 About Kobie
 
 
 
 Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We&rsquo;re always looking for talented individuals ready to join a collaborative, growth-focused culture.
 
 
 As a trusted partner to some of the world&rsquo;s most recognized brands, we are loyalty leaders, helping brands build lasting emotional connections with their consumers.  We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level.As we launch our India Tech Hub, we are excited to bring our award-winning culture to a new region - creating an environment where collaboration, flexibility, and career growth come together to build something truly special.
 
 
 We are proud to be the only loyalty provider to be externally recognized for their culture. We believe people thrive when they feel valued, supported, and empowered to be their authentic selves. Our commitment to diversity, equity, and inclusion ensures every teammate has a voice and the opportunity to be heard.
 
 
 Giving back is in our DNA at Kobie,through an annual fundraiser, charitable partnerships, and volunteer opportunities, we encourage our teammates to make a difference in their communities.
 
 
 To support our teammates beyond just their careers, we offer highly competitive benefits, comprehensive health coverage, and well-being perks that support our teammates and their dependents. We understand the importance of time for life outside of work - recognizing public holidays,offering flexible time off, and prioritizing work-life balance.
 
 
 As we expand into India, our new teammates will be fully integrated with our U.S. teams, working on global projects and gaining exposure to top industry leaders. With continued growth, we will establish a physical office in Bengaluru, India, giving teammates aspace for collaboration and fostering connection.
 
 
 Now is the perfect time to join Kobie. Be part of something big and help shape the future of our global capabilities center, the Kobie India Tech Hub.
</div>

Sr. Data Scientist

Aezion, Inc

<div>
 
 
 About Aezion
 
 
 
 Aezion is a technology solutions provider specializing in custom software, AI-driven solutions, and enterprise digital transformation.
 
 
 Aezion is one of the trusted digital engineering providers in the USA and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish - architecting, designing, developing, hosting, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry &ndash; an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners.
 
 
 
 
 
 
 Senior Business System Analyst
 
 
 
 
 Full time
 
 
 
 
 Bengaluru, KA/Coimbatore, TN
 
 
 
 
 
 
 
 People
 
 
 <ul>
 <li>
 8&ndash;10 years of experience as a Business Analyst, preferably in a technical environment.
 </li>
 <li>
 Able to work hand in hand with the U.S. Product Owner and drive delivery with the technical team in India.
 </li>
 <li>
 Expected to be hands-on and act as a backup for the U.S. Product Owner when required.
 </li>
 <li>
 Excellent communication and stakeholder management skills, with the ability to engage effectively with both business and technical teams.
 </li>
 <li>
 Strong ownership mindset, proactive in identifying risks, dependencies, and ensuring project continuity across geographies
 </li>
 </ul>
 
 
 
 
 
 Process
 
 
 <ul>
 <li>
 Proven experience in requirement gathering, documentation, and user story creation.
 </li>
 <li>
 Ability to translate business needs into clear functional and technical specifications.
 </li>
 <li>
 Demonstrated experience working in Agile/Scrum environments using tools like JIRA and Excel.
 </li>
 <li>
 Skilled in UAT coordination, gap analysis, impact assessments, and driving process improvements throughout SDLC.
 </li>
 </ul>
 
 
 
 
 
 Technology
 
 
 <ul>
 <li>
 Should have a strong data mindset &mdash; able to understand the application beyond functionality and from a user perspective.
 </li>
 <li>
 Should be able to understand data structures and underlying logic to efficiently define and test solutions.
 </li>
 <li>
 Solid understanding of APIs, integrations, and data flows; familiarity with databases and basic programming concepts.
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

Senior Business Analyst - Immediate Join

Explore 602+ Senior data analyst in Mangaluru this November. Find roles across top companies and apply now to boost your career.

602 senior data analyst jobs IN Mangaluru

Sr. Manager Analytics & Data Science

Senior Analyst

Data Analyst, Product Performance Analytics

Business Analyst

Business Analyst

Sr. Data Scientist

Senior Business Analyst - Immediate Join