14465 Data Visualization Jobs - Page 26

We are hiring for a Banking Consulting organization at Hyderabad/ Ahmedabad/ Delhi/ Pune Exp: 2yrs to 6 yrs yrs in Risk / Fraud Strategy -with Role: Fraud pattern recognition - Fraud rule design & tuning - ECM strategy - Quantitative fluency (FPR, TPR, decline rates) - Strong analytical thinking Domain Knowledge: - Card fraud typologies (CNP, counterfeit, lost/stolen, friendly fraud) - Chargeback process - Fraud rule frameworks (velocity checks, threshold rules, decision trees) Required Candidate profile 46 years in transaction/ Aquisition fraud strategy, payment authorization, or fraud operations - Hands-on rule design experience with tools like Falcon / Actimize / SAS FM - Solid understand...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

Key responsibilities: Lead the Risk Assessment & analysis Accountable to Identification and evaluating risk parameters, Operational Risk Portfolio risk Lead a set of professionals involved in credit analysis, credit appraisal, industry reviews, exposure norm reviews and approve credit proposals to various borrowers Analyse client financial statements and prepare the credit analysis and risk-adjusted profitability income reports to support client credit/financing requests and credit review process Provides reports about performed risk analyses for management, clients and regulators and delivers value-added insight into the client's credit lines, credit proposals and potential risks. Assess, f...

Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, cre...

Love In Store is looking for Business-Lead Analytics FMCG) to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before

Design, implement, test and maintain scalable and efficient ETL/ELT pipelines to ingest and transform large datasets from diverse sources. Architect, build, test and optimize data warehouses and data lakes, focusing on data consistency, performance, and best practices for analytics. Implement data quality checks, validation rules, and monitoring to ensure data accuracy, integrity, and security. Contribute to data governance initiatives. Continuously monitor and enhance database and query performance, identifying opportunities to streamline and improve data retrieval times. Define and design frameworks for monitoring data quality and data pipelines Monitor Google BigQuery consumption. Evaluat...

Amazon EU is committed to helping sellers grow their businesses and reach millions of customers across Europe. The New Seller Recruitment team focuses on expanding the Amazon seller base through data-driven marketing, optimized content, and innovative acquisition strategies. We are looking for a highly motivated Associate Marketing Manager to manage content creation and optimization using insights and AI driven tools across EU markets. This role combines creativity, insights, and innovation using AI tools to enhance content relevance, leverage trends, and accelerate content development across marketplaces and use cases. Your experience in content management and SEO (Search Engine Optimizatio...

About the Role We are looking for a detail-oriented and analytical Sales Operations Executive to support our sales team through data-driven insights, CRM management, and performance reporting. The ideal candidate will bridge the gap between data and strategy, ensuring the sales function runs efficiently and effectively. Key Responsibilities Manage and maintain the company CRM system, ensuring data accuracy and timely updates. Generate, track, and analyse sales reports and dashboards to monitor KPIs, pipeline status, and team performance. Create visual reports and insights using Power BI or Tableau to support management decision-making. Collaborate with sales, marketing, and finance teams to ...

Analysis and Insight Generation : Engage in advanced data analysis to uncover trends and correlations. Utilize statistical methods and tools to drive insightful recommendations for business strategies and process improvements. Reporting and Dashboard Development: Develop automated reports and interactive dashboards using BI tools like Tableau, QuickSight, PowerBI. Focus on creating user-friendly and efficient data visualizations to support business decisions. Stakeholder Collaboration and Communication: Work closely with stakeholders across various departments including program, product, legal, and tech teams. Communicate complex data insights effectively and implement optimal communication ...

6-9 years of professional experience in Data Science, Machine Learning, or AI Research . Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy . Proven experience in GANs, deep learning architectures (CNNs, RNNs, Transformers) , and model optimization. Hands-on experience with AWS Cloud Services (S3, EC2, Lambda, SageMaker, EKS). Strong understanding of statistics, probability, and mathematical modeling . Experience in feature engineering, data wrangling , and data visualization (Matplotlib, Seaborn, or Plotly). Familiarity with MLOps tools , version control (Git) , and CI/CD pipelines . Excellent communication skills with ...

Develop and implement data governance policies, standards, and procedures to ensure data quality and compliance. Collaborate with business and IT stakeholders to understand data requirements and align governance initiatives with organizational goals. Implement and manage data cataloging and governance tools (Alation, Collibra, IGC, IA). Establish and maintain data lineage, reference data, and metadata practices . Monitor and guide teams on data management best practices across the organization. Facilitate data governance meetings and workshops to promote data stewardship and accountability. Maintain documentation related to data governance processes, data dictionaries, and metadata managemen...

Work with product managers to identify appropriate KPIs to measure strategic product investments. Operationally instrument prioritized product KPIs across a multitude of sources to track impact. Source data using SQL and other data querying approaches to support KPI instrumentation. Compile and distill raw product KPI data into actionable insights. Build / augment self-service Power BI dashboard with a diverse set of product impact signals. Recommend product optimization actions to Product Managers based on analysis of observed product signals. EDUCATION/EXPERIENCE Bachelor s in Engineering, Statistics, Computer Science, Economics, or similar. 6-10 years in Product, Business, or Data Analyti...

7+ years of product management experience with proven success in B2C digital products Bachelor s degree in Engineering (Computer Science or related field); MBA is a plus Strong experience with product lifecycle: ideation to launch Deep analytical skills with data-driven decision-making abilities Proficiency in tools like GA/Google Analytics, WebEngage, spreadsheets, and SQL Excellent communication and stakeholder collaboration skills Experience in user research, prototyping, wireframing, and usability testing Ability to manage cross-functional collaboration across tech, design, marketing, and operations Exposure to agile teams and fast-paced product delivery environments Prior experience in ...

Lead the data engineering team by driving the design, build, test, and launch of new data pipelines and models on the production data platform Define and implement the processes needed to achieve operational excellence in all areas, including agile development, and data solutions Oversee the design, development and maintenance of data infrastructure, including data warehouses, data lakes, data integration components supporting optimal extraction, transformation, and loading of data Leading the communication with vendors, clients, the leadership team, and other stakeholders to facilitate effective project management and provide ongoing support Collaborate with business owners for roadmap plan...

1.Curriculum Delivery: Conduct engaging training sessions covering topics such as Python programming, machine learning, deep learning, NLP, LLMs, LangChain, prompt engineering, data analysis, data visualization, SQL, Excel, Power BI, and Tableau. 2. Content Development: Collaborate with the curriculum development team to create and update course materials, including lectures, hands-on projects, and assessments. 3. Student Mentorship: Provide guidance and support to students, helping them navigate complex concepts and complete practical assignments. 4. Performance Evaluation: Assess student progress through evaluations, provide constructive feedback, and identify areas for improvement. 5. Con...

Job Title: Omnichannel Analytics & Insights Manager Location: NCR / Pune / Bangalore / Hyderabad Department: Omnichannel Center of Excellence Employment Type: Full-Time Role Overview We are seeking a seasoned Omnichannel Analytics & Insights Manager to lead the evaluation and optimization of omnichannel campaigns for U.S. pharmaceutical prescription, OTC, and consumer brands. This role blends advanced analytics with strategic marketing expertise, requiring strong knowledge of media performance, customer behavior, and omnichannel strategy. You will influence stakeholders to drive ROI, engagement, and brand impact by leveraging insights to optimize live campaigns and enable data-driven decisio...

Shape and influence the strategy for Commercial Services initiatives by identifying product and marketing opportunities using data. Own end-to-end analytics initiatives from problem scoping to stakeholder alignment to delivery of insight and recommendations. Lead and structure deep-dive analyses into customer lifecycle, upgrade behaviour, churn triggers, pricing sensitivity, and more. Define and monitor critical KPIs for product launches and ongoing performance ensuring product/marketing teams are aligned with impact metrics. Partner with Product and Marketing leaders to design experiments , evaluate performance, and generate data-backed business cases. Use SQL and Python to explore large da...

Position Summary This is the Requisition for Employee Referrals Campaign and JD is Generic. We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise. Job Responsibilities He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments. Technical Design and Development- Expertise in any of the following skills. Any ...

Solution Design: Collaborate with finance and business stakeholders to gather requirements and translate them into EPBCS solutions. Design planning, budgeting, and forecasting processes that align with organizational goals and financial best practices. EPBCS Configuration: Configure EPBCS application components, including dimensions, forms, business rules, calculations, data mappings, and security settings. Develop and maintain EPBCS metadata and planning applications to ensure accurate and efficient data consolidation and reporting. Data Integration: Integrate data from various sources (e.g., ERP systems, data warehouses) into EPBCS to facilitate the budgeting and planning process. Develop ...

Lead the end-to-end lifecycle of credit risk analytics products from ideation, user story mapping, and MVP definition to launch and iteration. Architect and develop platforms using Python/PySpark, awareness of cloud technologies (AWS, Azure), and modern front-end frameworks (React, Angular) to deliver robust credit risk tools. Integrate advanced risk models and analytics into banking products and portfolios, ensuring solutions are data-driven, scalable, and regulatory-compliant. Partner with risk, product, and tech teams across geographies to deliver impactful solutions and drive adoption. Leverage AI/ML, LLMs, and automation to enhance credit risk review, underwriting, and monitoring proces...

Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space Analyze complex customer trends to identify patterns, develop attributes that clearly articulate those pattern and incorporate those attributes into static rules for automated deployment in our account creation pipeline. Apply your expertise in quantitative analysis, data visualization and data-mining to design alarm systems, derive actionable insights and guide product strategy for stakeholders and leadership Own the design, development, and maintece of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools Support cross-fun...

Main Responsibilities: Create plans for using AI in our operations Build tools to help our delivery operations work better Work with tech teams to turn ideas into real solutions Make project plans and track progress Look at how things are working and find ways to make them better A day in the life What Youll Do Day-to-Day: Work with different teams to create AI tools that help our operations run better Lead projects that make our delivery operations more efficient Help solve problems and make improvements to how we work Keep track of how well new tools and systems are working Work with tech teams to build useful solutions 1+ years of data analytics or automation experience 1+ years of capaci...

In this role, your responsibilities will include:Owning the design, development, and maintece of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. Development of queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Specifically, own all SQL and Tableau ad hoc, recurring, trouble-shooting. Working with team leadership to understand customer needs and concerns as well as define solutions. Translating basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs. Using analytical and statistical rigor to...

Finastra is looking for Business/Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalizatio...

1. Collaborate with cross-functional teams to gather, analyse, and interpret data to provide valuable insights. 2. Develop and maintain data visualisations and dashboards using Tableau and Power BI to communicate complex information effectively. 3. Assist in data cleaning, transformation, and modelling to ensure data accuracy and reliability. 4. Conduct in-depth data analysis and trend forecasting to support business decision-making processes. 5. Support the implementation of data analytics tools and technologies to enhance data management and reporting capabilities. 6. Present findings and recommendations to key stakeholders to drive strategic business outcomes. 7. Stay updated on the lates...