Job description Join us as a Data Analyst Take on a new challenge in a cutting edge data team, in which you ll contribute to the analysis of complex bank, franchise or function data to identify business issues and opportunities We ll look to you to provide high quality analytical input to help develop and implement innovative processes and resolve problems across the bank This is a hands on role in which youll hone your data analysis expertise and gain valuable experience in a dynamic area of our business Were offering this role at associate level What youll do As a Data Analyst, youll play a key role in supporting the delivery of high quality business solutions. You ll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data. Day-to-day, you ll also be: Collecting, profiling and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling Helping to interpret customer needs and turning them into functional or data requirements and process models Building and maintaining collaborative partnerships with key business stakeholders The skills youll need We re looking for someone with experience of using data analysis tools and delivering data analysis in a technology or IT function. Youll be joining us as a Data Analyst in the Fin Crime Technology Data Team. We are looking for someone with an experience of 5+ yrs. We ll also look for: Minimum 5 years of experience in IT Industry and minimum 4 years into the Data Analyst Role Provide high quality analytical input to support the development and implementation of innovative processes and problem resolution Support with a number of large, complex and critical projects Undertake analysis of data to identify business issues and opportunities Experience in Banking and knowledge about Financial Crime Good knowledge and experience in using SQL for data analysis and reporting Experience in Microsoft Excel including formulas, charts, pivots for effective MI reporting Background in Support environment and working within Agile Frameworks Hours 45 Job Posting Closing Date: 12/06/2025 Role: Data Analyst Industry Type: Banking Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Data analysisData migrationExcelAnalyticalAgileData qualityData AnalystBusiness solutionsSQLData extraction

Job description Key Responsibilities of this position include:Build and maintain robust scalable data processing pipelines in Microsoft AzureOptimize data ingestion process for better reliability and throughputDevelop subject matter expertise in the various data models / data sources required for advanced analytics and reportingConduct exploratory data analysis on data source to assess suitability for predictive modeling project objectsCurate datasets for Data Scientist partners for analysis machine learning and AI modelsAs needed, design and develop data models for analyticsDrive data architecture design decisions considering future growthEngage and communicate effectively across diverse disciplines (Business Unit Leaders, Corporate Underwriting and Actuarial) to collect data requirementsWork closely with data scientists to understand their objectives and translate to ensure architectural fitBuild and maintain robust scalable data processing pipelines in Microsoft AzureOptimize data ingestion processes for better reliability and throughput Qualifications Successful candidates should possess the following skills/capabilities:Bachelors degree (MS preferred) in Computer Science, Statistics, Math or equivalent combination of education and experience3 - 5 years of exper Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceMS SQLData analysisData modelingAnalyticalMachine learningData processingmicrosoftPythonData architecture

Job description Role Overview: We are looking for an exceptional instructor to build the foundational quantitative capabilities of our students. This role demands a deep and nuanced understanding of advanced mathematics, probability, statistics, and stochastic processes, and the ability to convey these complex concepts with clarity and precision. You will be instrumental in laying the analytical bedrock for all quantitative finance careers. Key Responsibilities: Deliver live, engaging online classes on advanced mathematical concepts, probability theory, statistical inference, and time series analysis. Explain complex topics such as linear algebra, multivariable calculus, optimization, numerical methods, Bayesian statistics, ARIMA/GARCH models, and stochastic calculus (e.g., Ito's Lemma, SDEs) with exemplary clarity. Guide students through rigorous problem-solving, derivations, and statistical analyses, ensuring a deep conceptual and practical understanding. Foster a highly disciplined and interactive learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Core Mathematics: Linear algebra, multivariable calculus, real analysis, optimization theory, numerical methods, optimization algorithms. Probability & Statistical Inference: Probability theory, statistical inference, hypothesis testing, Bayesian statistics. Time Series Analysis: ARIMA models, GARCH models, cointegration, Vector Autoregression (VAR). Advanced Statistical Techniques: Regression analysis, principal component analysis, Monte Carlo methods, extreme value theory, copulas, survival analysis. Stochastic Calculus: Ito's lemma, Brownian motion, stochastic differential equations, partial differential equations, measure theory, martingale theory. Data Experimentation & Signal Processing: Causal inference, A/B testing, experimental design, signal detection, regime change detection, correlation analysis. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, or a closely related highly quantitative field. Experience: Proven experience in applying advanced mathematics, probability, and statistics in academic research, quantitative finance, or a related analytical domain. We value both experienced educators and talented freshers with exceptional academic records and demonstrable project experience. Domain Expertise: Possess an extremely strong and expert-level understanding of the theoretical and applied aspects of advanced mathematics, statistics, and stochastic processes relevant to quantitative finance. Exceptional Communication Skills: Superior ability to articulate the most complex mathematical and statistical concepts clearly, concisely, and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and mathematical/statistical software (e.g., MATLAB, R, Python with scientific computing libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading, especially with Algorithmic Trading or broader Quant experience, is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Quantitative Foundations (Mathematics, Statistics & Stochastic Processes) that you are highly proficient in (e.g., explaining Ito's Lemma, demonstrating Bayesian inference, or breaking down GARCH models). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching. Role: Teaching & Training - Other Industry

Job description SUMMARY Part-Time Weekend Job Join Barbeque Nation’s Team in Hyderabad Job Role: Weekend Supporting Staff Company: Barbeque Nation Location: Hyderabad Work Locations: Banjara Hills (Near City Center Mall) Gachibowli (SLN Terminus) Hitech City (Opposite Cyber Towers) Kukatpally (Forum Sujana Mall) Begumpet (Near Lifestyle Building) Shift Timing: 12:00 PM 9:00 PM Work Days: Saturday and Sunday Estimated Monthly Earnings: 5,000 7,000 Work 9 hours and earn extra income every weekend Key Responsibilities: Assist kitchen and service staff Serve starters, beverages, and non-vegetarian items (including chicken) Maintain cleanliness in service and dining areas Ensure smooth dining operations Requirements: No prior experience required (orientation provided) Must be energetic, disciplined, and customer-friendly Comfortable handling non-vegetarian food Age 18+ and available on both days What We Offer: Quick payouts Flexible part-time weekend work Work experience with a reputed restaurant brand Apply Now Make your weekends productive with Barbeque Nation! Role: Technical Support - Non Voice Industry Type: Beverage Department: Customer Success, Service & Operations Employment Type: Full Time, Permanent Role Category: Non Voice Education UG: Any Graduate Key Skills freelancingphysical designadministrationpayoutvlookupoperationsadvanced excelmisbeveragejoinbrandsynthesisstaorientationmis reportingtimingprimetimerestaurantcenterteamtiming analysispart timelifestyleexcelfloor planningstiming closurepnrstarters

Job description SUMMARY Part-Time Weekend Job Join Barbeque Nation’s Team in Chennai Job Role: Weekend Supporting Staff Company: Barbeque Nation Location: Chennai Work Locations: T. Nagar Nungambakkam Vadapalani Velachery Thuraipakkam Marina Mall (Egattur) Shift Timing: 11:00 AM 8:00 PM Work Days: Saturday and Sunday Estimated Monthly Earnings: 5,000 7,000 Work 9 hours and earn extra income every weekend Key Responsibilities: Support kitchen and floor staff Serve starters, beverages, and non-vegetarian items (including chicken) Maintain cleanliness in service and dining areas Ensure smooth dining operations Requirements: No prior experience required (orientation provided) Must be energetic, disciplined, and customer-friendly Comfortable handling non-vegetarian food Age 18+ and available on both days What We Offer: Quick payouts Flexible part-time weekend shifts Work experience with a leading restaurant brand Apply Now Make your weekends productive with Barbeque Nation! Role: Technical Support - Non Voice Industry Type: Hotels & Restaurants Department: Customer Success, Service & Operations Employment Type: Full Time, Permanent Role Category: Non Voice Education UG: Any Graduate Key Skills freelancingquickphysical designpayoutvlookupoperationsadvanced excelmisbeveragejointclbrandcommunication skillssynthesisstaorientationservmis reportingtimingprimetimerestaurantteamtiming analysispart timeexcelfloor planningstiming closurepnrstarters

Job description At Blend360, we help people use data to serve the customer. The Customer Insights team works directly with some of the world s most loved consumer brands, and as an analyst you will lead our clients and prospects as an expert in using, understanding, and acting on customer data. You ll call on your business knowledge and deep technical expertise to unlock powerful insights from a wide range of industries. And you ll accelerate speed to value by creating the framework to scale your most impactful analyses with our internal teams and external users. What you ll be doing Develop customer-centric analyses and solve challenging problems from a variety of consumer verticals. Consult with leaders from major consumer brands to identify trends, opportunities, and valuable segments that help them drive and measure incremental growth. Support GTM team s selling motion with your deep analytics expertise, generating insights that showcase the value from Customer Data Platforms (such as Amperity, Segment, Redpoint, etc.) Build scalable methodology and tools to accelerate the analytics motion. Collaborate with different Departments for data requests build solutions that automate daily tasks thereby saving man hours. Build data pipelines for data extraction, cleaning, transforming, feature extraction, and machine learning Build KPIs/metrics by applying data transformation techniques such as aggregation, resampling, filtering etc. Comprehension of reports, visualization of data in the form of plots, generate reports using BI tools, develop live updating dashboards. Minimum 3 years experience in a consulting, business analytics, or data science role, preferably working with customer behaviour data for a direct-to-consumer business Demonstrated ability Role: Data Analyst Industry Type: Industrial Automation Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer languagesReport generationdata scienceSenior AnalystBusiness analyticsMachine learningStatisticsSQLData extractionPython

Job description As an Analyst, Resiliency Management, you will be accountable for assisting the development and implementation of resiliency programs across the organization. You will play a key role in identifying and mitigating risks, ensuring business continuity, and enhancing the resilience of our operations. In this role, you will have a direct impact on the organizations ability to effectively respond to and recover from disruptions, ensuring the continuity of critical business functions. KEY RESPONSIBILITIES Facilitate the development and implementation of resiliency programs, including business continuity, crisis management, and incident response Conduct risk assessments and business impact analyses to identify potential vulnerabilities and develop mitigation strategies Assist in the development and maintenance of business continuity plans and procedures Work with cross-functional teams to ensure alignment and coordination of resiliency efforts Participate in exercises and drills to test the effectiveness of resiliency plans YOU MUST HAVE 3+ years of experience in resiliency management, business continuity, or a related field Strong insight into resiliency ethics and best practices Excellent thoughtful and problem-solving skills Strong communication and collaboration skills WE VALUE Certification in business continuity or a related field Experience in conducting risk assessments and business impact analyses Knowledge of crisis management and incident response processes Ability to work effectively in a fast-paced and dynamic environment Role: Operations Support - Other Industry Type: Software Product Department: Customer Success, Service & Operations Employment Type: Full Time, Permanent Role Category: Operations Support Education UG: Any Graduate PG: Any Postgraduate Key Skills Crisis managementSenior AnalystBusiness continuityTesting

Job description Key Requirements: 5 9 years of relevant experience in technical project analysis and delivery Proficient in Azure Synapse Analytics and overall Azure cloud environment Strong analytical skills with the ability to gather, interpret, and document technical requirements Experience in supporting project planning, execution, tracking, and reporting Effective communication and coordination with cross-functional teams Ability to translate business requirements into technical specifications Data Engineer, Azure Synapse Analytics Role: IT Project Lead Industry Type: IT Services & Consulting Department: Project & Program Management Employment Type: Full Time, Permanent Role Category: Technology / IT Education UG: Any Graduate PG: Any Postgraduate Key Skills Analytical skillsProject analysisCloudProject planningProject AnalystAnalytics

Job description Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. read more Key Skills algorithmspythondata analysismodelingpredictivejupyter notebookproblem solvingmachine learningdata sciencepycharmproduct developmentsciencestatistical modelingmodel developmentdata visualizationmachine learning algorithmsagile methodology

Job description 1. Daily safety talk and L1 meeting. 2. Timely inspection of FG goods of dispatch as per packing list 3. To Clear OBD of FG lots from SAP after physical dispatch inspection 4. Communicate any deviation found to production / reporting manager 5. Support to 3rd party inspection wherever required. 6. Capturing photographs through-out, the loading activity 7. Arrangement of sample as per sample sales order requirement 8. Preparation of daily dispatch report. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills QA Analysis FGFinished GoodsInspectionRMQuality Assurance