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data analytics specialist

Ceres Environmental Services, Inc.

<div>
 
 
 About Ceres India
 
 
 
 Ceres India (Ceres Environmental India Pvt. Ltd.) serves as the Global Capabilities Centre for
 
 Ceres Global
 
 , embodying strategic value, innovation, and operational excellence. With a highly skilled and diverse team, Ceres India drives efficiency and delivers exceptional support services across global operations
 
 
 
 
 
 
 Driven by Purpose, Powered by People
 
 
 
 At Ceres India, you&rsquo;re more than just an employee your part of a mission-driven team helping communities recover and rebuild after disasters. We value initiative, diversity, and ownership. You&rsquo;ll find opportunities for growth, travel, and impact in a culture that thrives on teamwork and resilience.
 
 
 
 
 
 
 What We Are Looking For
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to drive data-driven decision-making for our bids, operations, and financial modelling functions.
 
 
 You will leverage advanced analytics and predictive modelling to help Ceres management optimize bid pricing, operational productivity, and margin forecasting by analysing large volumes of historical and operational data.
 
 
 This is a
 
 hands-on, high-impact role
 
 interfacing with global stakeholders, particularly in
 
 pricing strategy, operational forecasting, and business performance analytics
 
 .
 
 
 
 Key Analytical Focus Areas:
 
 
 <ul>
 <li>
 
 Bid Win Model:
 
 Develop predictive models estimating win probability by client, region, scope, and competitor profile.
 </li>
 <li>
 
 Pricing Engine:
 
 Build elasticity-based pricing guidance to support competitive bid decisions.
 </li>
 <li>
 
 Operations Forecasting:
 
 Model production rates by debris type, weather, crew mix, and logistics routes.
 </li>
 <li>
 
 Margin Forecast:
 
 Create financial simulation models to assess cost drivers and scenario outcomes.
 </li>
 <li>
 
 MLOps Foundation:
 
 Implement automated retraining, monitoring, and governance frameworks for deployed models.
 </li>
 </ul>
 
 
 
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Design and develop
 
 data models, pipelines, and predictive systems
 
 using Python and SQL across multiple data sources (Salesforce, ERP, GIS, and weather data).
 </li>
 <li>
 Conduct
 
 feature engineering
 
 on operational and geospatial datasets.
 </li>
 <li>
 Build, validate, and deploy models for:
 </li>
 <li>
 Classification (Win/Loss predictions)
 </li>
 <li>
 Regression (Price and cost forecasts)
 </li>
 <li>
 Time Series (Throughput and demand projections)
 </li>
 <li>
 Optimization (Crew and equipment routing, shift planning)
 </li>
 <li>
 Evaluate models using
 
 AUC, RMSE, MAE, and uplift
 
 metrics.
 </li>
 <li>
 Deploy models into dashboards or applications (Power BI, Salesforce, Google Sheets).
 </li>
 <li>
 Present
 
 actionable insights
 
 and executive narratives to senior management.
 </li>
 <li>
 Maintain
 
 reproducibility and governance
 
 through version control and auditability.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Postgraduate degree in
 
 Data Science, Statistics, Applied Mathematics, Engineering, Operations Research
 
 , or related fields (IITs, NITs, IIITs, ISI, or Tier-1 universities preferred).
 </li>
 <li>
 
 7&ndash;12 years
 
 of applied data science experience in pricing, forecasting, or financial modelling.
 </li>
 <li>
 Proficiency in
 
 Python
 
 (pandas, scikit-learn, stats models, XGBoost/LightGBM) and
 
 SQL
 
 .
 </li>
 <li>
 Hands-on experience building
 
 data pipelines
 
 (Airflow, DBT).
 </li>
 <li>
 Exposure to
 
 geospatial analytics
 
 (GeoPandas, ArcGIS, QGIS) and weather data.
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 , causal inference, and experiment design.
 </li>
 <li>
 Familiarity with
 
 MLOps
 
 frameworks for model versioning and monitoring.
 </li>
 <li>
 Excellent communication and storytelling skills.
 </li>
 </ul>
 
 
 
 
 
 What to Expect
 
 
 
 You&rsquo;ll work in a
 
 dynamic, data-driven environment
 
 , collaborating with U.S. stakeholders on real-world analytics problems that shape pricing and operations strategy. Expect exposure to
 
 large-scale operational data
 
 ,
 
 rapid prototyping of models
 
 , and opportunities to
 
 own analytics products end-to-end
 
 from concept to deployment.
 
 
 
 
 
 
 Why Join Ceres India?
 
 
 
 At Ceres India, you won&rsquo;t just have a job &mdash;
 
 you&rsquo;ll have a mission.
 
 
 
 Your work directly impacts the speed and strength of community recovery after disasters.
 
 
 We offer:
 
 <ul>
 <li>
 A
 
 collaborative, mission-driven culture
 
 .
 </li>
 <li>
 
 Opportunities for professional growth and advancement.
 
 </li>
 <li>
 The
 
 chance to make a lasting difference
 
 for communities worldwide.
 </li>
 </ul>
 
 
</div>

Data Scientist – Operations & Financial Modelling

Allucent

<div>
 
 The IT Business Analyst will play a key role in advancing Allucent's Data and Development initiatives. This position will focus on gathering, analyzing, and translating business requirements into functional and technical specifications that support data integration, analytics, AI use cases, and enhancements to internally developed applications.
 
 
 
 
 The Business Analyst will collaborate with global business stakeholders, data engineers, developers, and AI specialists to ensure solutions meet business objectives and regulatory expectations. The ideal candidate will have a strong analytical mindset and an interest in how data and artificial intelligence can drive operational insights and efficiency.
 
 
 
 
 
 
 Requirements
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with business stakeholders, developers, and data engineers to elicit, document, and validate detailed business and functional requirements.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Translate business needs into user stories, process flows, and acceptance criteria to guide development and testing.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with data and AI teams to define requirements for data pipelines, model inputs/outputs, and user interfaces that support AI-enabled workflows.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze existing systems and data flows to identify opportunities for automation, predictive analytics, and process optimization using AI solutions.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data mapping, interface requirements, and reporting specifications for analytics and AI-driven insights.
 
 
 
 Project Support
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with project managers to ensure project scope, milestones, and deliverables are clearly defined and aligned with business goals.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in sprint planning, backlog refinement, and system demos to ensure clear communication between business and development teams.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support testing, validation, and user acceptance for system enhancements and new features.
 
 
 
 Documentation &amp; Communication
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain clear and traceable documentation, including business process maps, requirements traceability matrices, and data flow diagrams.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare user guides, training materials, and support documentation for internal users, including those adopting AI-driven tools.
 
 
 
 
 
 Requirements &amp; Analysis
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with business stakeholders, developers, and data engineers to elicit, document, and validate detailed business and functional requirements.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Translate business needs into user stories, process flows, and acceptance criteria to guide development and testing.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with data and AI teams to define requirements for data pipelines, model inputs/outputs, and user interfaces that support AI-enabled workflows.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Analyze existing systems and data flows to identify opportunities for automation, predictive analytics, and process optimization using AI solutions.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data mapping, interface requirements, and reporting specifications for analytics and AI-driven insights.
 
 
 
 
 
 Project Support
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with project managers to ensure project scope, milestones, and deliverables are clearly defined and aligned with business goals.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in sprint planning, backlog refinement, and system demos to ensure clear communication between business and development teams.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support testing, validation, and user acceptance for system enhancements and new features.
 
 
 
 
 
 Documentation &amp; Communication
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain clear and traceable documentation, including business process maps, requirements traceability matrices, and data flow diagrams.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare user guides, training materials, and support documentation for internal users, including those adopting AI-driven tools.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicate effectively across teams, translating complex technical and AI concepts into business-friendly language.
 
 
 
 
 
 Quality &amp; Compliance
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure requirements and solutions comply with applicable GxP, data privacy, and security standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support data integrity and governance practices across projects.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute to continuous improvement of business analysis methodologies and documentation standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Review, improve and evaluate IT processes and procedures within the Quality Management System.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Contribute to other areas of business as required.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; No major travel required.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's degree in Information Technology, Computer Science, Business, or a related field.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4-7 years of experience as a Business Analyst in a life sciences, CRO, or technology organization.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience supporting data analytics or AI-related initiatives preferred (e.g., requirements for predictive models, natural language processing, or automation workflows).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong understanding of software development lifecycle (Agile and Waterfall).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exposure to APIs, data pipelines, and reporting/analytics tools is a plus.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Business Analysis certification (e.g., CBAP, CCBA) is a plus.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrates strong analytical and problem-solving abilities, with the capability to translate complex business needs into actionable technical requirements.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicates effectively across technical and business teams, ensuring clarity and alignment throughout project lifecycles.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understands data and AI concepts, including automation, predictive analytics, and how these technologies can enhance business processes.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Produces thorough and accurate documentation, including user stories, process flows, and functional specifications.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Adapts quickly to shifting priorities and works effectively in a fast-paced, global team environment.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintains a strong commitment to data integrity, compliance, and delivering high-quality outcomes that support business objectives.
 
 
 
 
 
 
 Benefits
 
 
 
 
 
 Benefits of working at Allucent include:
 
 
 <ul>
 <li>
 Comprehensive benefits package per location
 </li>
 <li>
 Competitive salaries per location
 </li>
 <li>
 Departmental Study/Training Budget for furthering professional development
 </li>
 <li>
 Flexible Working hours (within reason)
 </li>
 <li>
 Leadership and mentoring opportunities
 </li>
 <li>
 Participation in our enriching Buddy Program as a new or existing employee
 </li>
 <li>
 Internal growth opportunities and career progression
 </li>
 <li>
 Financially rewarding internal employee referral program
 </li>
 <li>
 Access to online soft-skills and technical training via GoodHabitz and internal platforms
 </li>
 <li>
 Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
 </li>
 <li>
 Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees
 </li>
 </ul>
 
 
 
 
 Disclaimers:
 
 
 
 
 
 
 "The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively "Allucent"). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources."
 
 
</div>

Business Analyst - Data & AI

VEGROW

<div>
 
 
 About Vegrow:
 
 
 
 Vegrow is on a mission to revolutionize the $60B fresh fruit market! We&rsquo;re a fast-growing, VC-backed agri-tech startup founded by IIT alumni who&rsquo;ve built and scaled with companies like ITC, AgroStar, UrbanCompany, and Chronus. We partner with farmers, aggregate supply, and connect them directly to organized demand through tech-led solutions &mdash; driving efficiency, transparency, and profitability across the fruit value chain.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to join our
 
 Business Finance
 
 team &mdash; someone who loves diving deep into data, connecting dots, and converting numbers into business impact.
 
 
 This isn&rsquo;t a &ldquo;get a request &rarr; build a report&rdquo; role. We want someone who can
 
 think independently
 
 ,
 
 spot opportunities
 
 , and
 
 add value proactively
 
 by working shoulder-to-shoulder with the Business and BizFin teams.
 
 
 If you love solving open-ended problems and using data to tell stories that move the business forward &mdash; we want you!
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Work closely with Business &amp; BizFin teams to drive data-backed decisions.
 </li>
 <li>
 Build and maintain dashboards and reports that actually make an impact.
 </li>
 <li>
 Proactively explore data to uncover insights, trends, and hidden opportunities.
 </li>
 <li>
 Translate business questions into analytical models and crisp insights.
 </li>
 <li>
 Handle ad-hoc analyses with accuracy, speed, and attention to detail.
 </li>
 <li>
 Ensure data sanity, consistency, and integrity across all reporting layers.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 0&ndash;4 years of experience in data analytics or business analytics.
 </li>
 <li>
 Strong SQL skills (you should be able to write and optimize complex queries).
 </li>
 <li>
 Excellent Excel skills and experience with at least one BI tool (Tableau, Power BI, Looker Studio, etc.).
 </li>
 <li>
 Experience with Python or another scripting language for automation or data manipulation.
 </li>
 <li>
 Sharp analytical mindset, curiosity to explore, and the ability to simplify complex data stories.
 </li>
 <li>
 Great communication skills &mdash; you can make insights simple, visual, and actionable.
 </li>
 <li>
 Self-starter attitude &mdash; someone who figures things out, not just waits for instructions.
 </li>
 </ul>
 
 
 
 
 
 Cherry on Top
 
 
 <ul>
 <li>
 Experience with
 
 Zoho Analytics
 
 and/or
 
 Anaplan
 
 .
 </li>
 <li>
 Prior exposure to
 
 Business Finance / FP&amp;A
 
 setups.
 </li>
 <li>
 Comfort working in
 
 fast-paced, high-growth startup environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 Join us if you&rsquo;re excited to make data a competitive advantage at Vegrow &mdash; and grow your career while helping us grow India&rsquo;s fruit economy.
 
 
</div>

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.
 
 
 
 Job Title:
 
 Data Analyst, Legal Analytics
 
 
 
 Reports to:
 
 Sr. Analyst, Legal Analytics, Data Governance_NA
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Primary Responsibilities
 
 
 
 Responsibilities include:
 
 
 <ul>
 <li>
 Main responsibility is supporting various Legal teams including Litigation, Government Relations, Criminal and Regulatory Investigations (CRI), etc. Responsibilities include running analytical projects, developing dashboards and ad-hoc queries and handling existing recurring reporting/dashboards which set the foundation for analytics and business insights used by the team and business partners.
 </li>
 <li>
 Apply your SQL coding technical expertise to discover, extract and validate data from various data sources and build actionable reports and analysis.
 </li>
 <li>
 Update and maintain SQL codes to conform to organization changes, deprecation schedules, and new developments.
 </li>
 <li>
 Demonstrated ability to work with large and varied data sources to make reporting and analysis reliable and efficient.
 </li>
 <li>
 Develop and improve Python scripts as needed for data processing, data cleaning, and data extraction.
 </li>
 <li>
 Build and improve Tableau dashboards or excel reports, whichever is appropriate and suits the requestors.
 </li>
 <li>
 Deliver high-impact, data-driven insights, recommendations, and metrics to eBay&rsquo;s Legal teams.
 </li>
 <li>
 Effectively communicate results to Legal partners and multi-functional groups.
 </li>
 <li>
 Collaborate with eBay&rsquo;s Policy, Rules, and partner Analytics teams globally to ensure alignment on metrics and analytical methodologies and to minimize duplication of efforts.
 
 
 
 </li>
 </ul>
 
 Characteristics
 
 
 
 <ul>
 <li>
 Excellent business judgment, analytical and problem-solving skills, and experience applying these skills to analyze large, sophisticated, multifaceted data sets.
 </li>
 <li>
 Good understanding of methods used to define and analyze data requirements needed to support the business and statistical analysis.
 </li>
 <li>
 Proven team player and consensus builder with proficient communication and coordination skills.
 </li>
 <li>
 Team member with good interpersonal abilities in a multi-cultural setting, self-assurance, positive outlook, and good decision-making.
 </li>
 <li>
 Clear passion for eBay&rsquo;s mission and business objectives.
 </li>
 <li>
 Ability to multi-task and prioritize work in a fast-paced and constantly evolving environment
 </li>
 <li>
 Mental flexibility, including ability to dive very deep into details of the data to ensure quality, while understanding the big picture objectives of a given project.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Experiences
 
 
 
 <ul>
 <li>
 5+ years related experience in Computer Science/Analytics/Consulting, (Master&rsquo;s degree preferred).
 </li>
 <li>
 Must have a demonstrable understanding of database / data modeling tools and concepts. Experience with database development and data warehousing concept/tools are required.
 </li>
 <li>
 Strong SQL skills (on Hive/SPARK environment) for querying and maintaining databases.
 </li>
 <li>
 Expert Excel (e.g., look-up functions, pivot tables, sophisticated functions, statistics).
 </li>
 <li>
 Experience with Tableau required.
 </li>
 <li>
 Python programming experience preferred.
 </li>
 <li>
 HADOOP experience will be advantageous.
 </li>
 <li>
 Experience with analyzing customer data in financial services, Internet, or top-tier consumer-focused company (in technology, consumer goods or retail domain) a plus.
 
 
 
 </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>

Data Analyst, Legal Analytics

KPMG India

<div>
 
 
 About KPMG in India :
 
 
 
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 
 
 About the Job :
 
 
 
 L
 
 ocation - Bangalore/Gurgaon/Pune
 
 
 
 
 Experience - 6+ Years
 
 
 
 
 
 
 
 Functional Skills
 
 
 <ul>
 <li>
 Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
 </li>
 <li>
 Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
 </li>
 <li>
 Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
 </li>
 <li>
 Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
 </li>
 <li>
 Remaining up to date with developments in technology and industry norms can help you to produce higher-quality results.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Analyze large datasets to derive actionable insights and support decision-making processes.
 </li>
 <li>
 Develop and maintain data pipelines using PySpark and other data processing tools.
 </li>
 <li>
 Write efficient SQL queries to extract, transform, and load data from various sources.
 </li>
 <li>
 Implement data models and schemas to organize and optimize data storage and retrieval.
 </li>
 <li>
 Perform data normalization and denormalization to ensure data integrity and accessibility.
 </li>
 <li>
 Collaborate with data engineers to centralize and manage data assets.
 </li>
 <li>
 Ensure data quality through validation and cleansing processes.
 </li>
 <li>
 Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 6 years or more Proven experience in data analytics and working with large datasets.
 </li>
 <li>
 Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
 </li>
 <li>
 Strong SQL skills for querying and managing databases.
 </li>
 <li>
 Experience with PySpark for large-scale data processing.
 </li>
 <li>
 Basic understanding of Hadoop and its ecosystem.
 </li>
 <li>
 Familiarity with data engineering concepts and best practices.
 </li>
 <li>
 Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
 </li>
 <li>
 Understanding of data centralization, cardinality, and data quality principles.
 </li>
 <li>
 Good to have experience in CI/CD pipelines and tools
 </li>
 </ul>
 
 
 Banking
 
 
 <ul>
 <li>
 Deep understanding of banking operations, financial products, and regulatory frameworks
 </li>
 <li>
 Experience with data modeling, ETL processes, and statistical analysis
 </li>
 <li>
 Prior experience in retail or corporate banking analytics
 </li>
 <li>
 Analyze banking data including customer transactions, loan performance, and financial statements
 </li>
 <li>
 Support credit risk analysis and fraud detection initiatives
 </li>
 <li>
 Maintain and optimize banking databases and data pipelines
 </li>
 </ul>
 
 
 
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
</div>

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

Flipkart

<div>
 
 
 Key Deliverables
 
 
 
 
 
 
 
 Process
 
 
 <ul>
 <li>
 Futuristic Capability building - Simulation, Optimization, Data Visualization Softwares etc
 </li>
 <li>
 NVA elimination program - transportation reduction, return simplification, negative flow elimination, flex manpower usage, frugal automation, etc
 </li>
 <li>
 Enable Process Optimization and build Process Controls thru AI ML Applications and Capabilities
 </li>
 <li>
 Capture Voices build future ready capabilities / program for the BU working close with the Execution team
 </li>
 <li>
 Simplification of Processes thru RPAs
 </li>
 <li>
 Build and enable deployment of Supply Chain Excellence Program for BU
 </li>
 <li>
 Enable Continuous Improvement culture thru Kaizen/LSS Program
 </li>
 </ul>
 
 
 
 
 People
 
 
 <ul>
 <li>
 Building Modules and Channels for Knowledge Building
 </li>
 <li>
 Ability to engage people and create a learning environment
 </li>
 <li>
 Effectively collaborates cross-functionally assigned region and between peers
 </li>
 <li>
 Encourages people to expose problems and stays with them to implement true solutions
 </li>
 <li>
 Uses continuous coaching and dialogue to empower people to solve their own problems
 </li>
 <li>
 Builds future process improvement leaders
 </li>
 </ul>
 
 
 
 
 
 To succeed in this role &ndash; you should have the following
 
 
 
 
 
 <ul>
 <li>
 Strong Hands on Lean &amp; Six Sigma Principles &amp; Tools - Deployment Experience
 </li>
 <li>
 Strong Advanced Data Analytics Skill &amp; experience
 </li>
 <li>
 Design and Deployment experience on Process Maturity Models and Business Excellence Models
 </li>
 <li>
 Knowledge on Supply Chain / e-commerce processes
 </li>
 <li>
 Ability to communicate effectively in visual, oral and written form.
 </li>
 <li>
 Motivation to up-skill in domain, concepts, principles, practices and techniques.
 </li>
 </ul>
</div>

Manager

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