888 Data Mining Jobs - Page 18

We are seeking a Business Analyst to oversee and optimize our business operations, focusing on sales analytics, distribution management, and community-driven brand growth. This role is ideal for someone with expertise in data storytelling, business intelligence, Power Bi, Excel, Tableau, CRM management, and digital content strategy. Duties Responsibilities Business Operations Management Manage and optimize distribution networks to ensure smooth business operations. Oversee daily business functions, tracking expenses, attendance, sales, and customer interactions through Microsoft Dynamics 365 and customized CRMs. Develop value chain models, mapping processes with data points to improve efficiency and decision-making. Ensure seamless financial and operational tracking, analysing store sales, leads, , demos, visits, and performance metrics. Data Analytics Business Intelligence Utilize Power BI, Tableau, and Flourish Studio to create actionable data visualizations that drive strategic business decisions. Conduct deep data mining, modelling, and warehousing to optimize performance and revenue streams. Analyse customer behaviour, mar zasdket trends, and operational inefficiencies to identify areas for improvement. Sales Community Growth Design and execute data-driven sales and marketing campaigns, ensuring strong customer acquisition and retention. Develop and implement community engagement strategies to strengthen brand presence and build a loyal customer base. Collaborate with cross-functional teams to enhance digital content, SEO, and analytics-driven marketing strategies. CRM Digital Transformation Oversee and improve CRM workflows, ensuring accurate customer data and streamlined sales processes. Develop and automate reporting mechanisms to track key performance indicators (KPIs). Identify opportunities to enhance customer experience and distributor engagement through data insights. Qualifications and Experience BTech or MCA 3+ years of experience in data analytics, operations, or business intelligence within FMCG, retail, or distribution sectors. Knowledge, Skills and Abilities Expertise in Microsoft Dynamics 365, Power BI, Tableau, and data storytelling. Strong background in CRM management, process modeling, and data-driven decision-making. Hands-on experience in SEO, digital content strategy, and marketing analytics. Exceptional analytical, problem-solving, and communication skills.

This role will focus on implementing tools and strategies to analyze large amounts of data, identify trends, and convert information into business insights. The role will set up information formats and customized views for stakeholders across the company in various leadership, marketing and sales roles. Core Job Responsibilities Lead as a data-product owner translating business needs into data projects and data projects into business implications Partner with internal stakeholders---SFE / CRM / Marketing / Ethical & Trade Sales/ MI/Finance to identify opportunities to implement data solutions to business problems Actively contribute to the business intelligence plan, BI environment and tools Build a strategic roadmap for Data & Analytics, including Data Science as a part of ANI India s overall Customer/ Channel / Sales Force engagement/ Upstream-downstream strategy Build reports/models for forecasting, trending, Predictive analytics; Manage and execute ad-hoc reporting, dash boarding & analytics requirement Drive required data mining and present key strategic solutions/interpretations to business for real-time decision-making leveraging both traditional (eg data lake) as we'll as advanced (data science and AI) technologies & methodologies Promotes data-based storytelling abilities of summarizing and highlighting the points of analysis with effective visualization techniques through use of BI delivery platforms Work Experience 6+ years of experience Prior experience in Pharma / FMCG / FMHG will be an added advantage Strong knowledge of tools - querying languages (SQL, SAS, etc), visualization (Tableau, Raw, etc), and analytics (MS excel, Power BI, Adobe Analytics, etc)

The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in data analytics and economic research for U.S. and Canada. This individual will report to the VP, Lead Economist for North America at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on NAM economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelors degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required.

Job Information Job Opening ID ZR_2200_JOB Date Opened 15/04/2024 Industry Technology Job Type Work Experience 5-8 years Job Title AI/ML Engineer City Chennai Province Tamil Nadu Country India Postal Code 600004 Number of Positions 4 Experience in CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience in 4+ years of experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1916_JOB Date Opened 06/05/2023 Industry Technology Job Type Work Experience 8-10 years Job Title ESG/Sustainability City Chennai Province Tamil Nadu Country India Postal Code 600089 Number of Positions 5 Should have actively worked at core level on ESG assignments with at least 3 different industrial sectors Good understanding on materiality assessment, data automation, ESG data monitoring & tracking Hands on experience and knowledge about GHG/ESG reporting & monitoring software/tools Strong verbal and written communications skills, as well as ability to work effectively across internal and external stakeholders. Good understanding of ESG / sustainability issues relevant to different industry sectors. Ability to lead customer calls by representing LTIMindtree well within a customers environment and drive discussions with senior personnel. Location: Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

We are seeking a Data Engineer with strong expertise in Microsoft Fabric and Databricks to support our enterprise data platform initiatives. Role: Data Engineer Microsoft Fabric & Databricks Location: Pune/ Remote Key Responsibilities: • Develop and maintain scalable data platforms using Microsoft Fabric for BI and Databricks for real-time analytics. • Build robust data pipelines for SAP, MS Dynamics, and other cloud/on-prem sources. • Design enterprise-scale Data Lakes and integrate structured/unstructured data. • Optimize algorithms developed by data scientists and ensure platform reliability. • Collaborate with data scientists, architects, and business teams in a global environment. • Perform general administration, security, and monitoring of data platforms. Mandatory Skills: • Experience with Microsoft Fabric (Warehouse, Lakehouse, Data Factory, DataFlow Gen2, Semantic Models) and/or Databricks (Apache Spark). • Strong background in Python, SQL (Scala is a plus), and API integration. • Hands-on experience with Power BI and various database technologies (RDBMS, OLAP, Time Series). • Experience working with large datasets, preferably in an industrial or enterprise environment. • Proven skills in performance tuning, data modeling, data mining, and cloud security (Azure preferred). Nice to Have: • Knowledge of Azure data services (Storage, Networking, Billing, Security). • Experience with DevOps, agile software development, and working in international/multicultural teams. Candidate Requirements: • 4+ years of experience as a data engineer. • Bachelors or Masters degree in Computer Science, Information Systems, or related fields. • Strong problem-solving skills and a high attention to detail. • Proficiency in English (written and verbal) Please share your resume at Neesha1@damcogroup.com

Role & responsibilities: Role: Executive - Business Development Key Responsibilities: Job Description Provide sales and marketing support in building a pipeline of B2B leads Research pharma/healthcare companies and individual stakeholder data Capturing relevant information from LinkedIn, Bloomberg, individual company websites etc Researching and qualifying new leads Manage and continuously update master lead databases for various regions Research B2B data for the email campaigns Running customized mail campaigns to the leads, run follow-ups Preferred candidate profile Desired candidate should have minimum 6 months to maximum 5 years' experience in Lead Generation or Data Mining using various search platforms and tools like LinkedIn Sales Navigator, Bloomberg, company websites, etc.

ESSENTIAL DUTIES AND RESPONSIBILITIES Gathering data from diverse sources, including databases, APIs, and web scraping. Possessing deep knowledge of data analytics principles, tools, and technologies. Handling missing values, correcting errors, and ensuring data consistency, data quality, and optimizing data performance. Create and maintain data models that structure and organize data within a domain, ensuring clarity and consistency. Create data products, designed to solve specific business problems within a domain. Performing statistical analysis and modeling to identify trends, patterns, and relationships in the data. Preparing reports, presentations, and dashboards to communicate insights and findings. Using data to identify and solve business problems, improve processes, and make data-driven decisions. Collaborating with cross-functional teams including, Data Engineers, Data scientists, Business Analysts, Solution Architects, IT & Business teams. Document and maintain end to end data flows, Data Lineage, Data Catalog for various data marts. Be a liaison between solution architects, BSA s and data engineers to ensure compliance to standards of Data integrations, data management and review the data solutions. Stay updated with the latest industry trends and best practices, sharing knowledge and encourage team to continuously improve their skill s

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Utilize Python and Java for data analysis and algorithm development. Develop and implement machine learning models and GenAI solutions. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Perform data mining and extraction from various sources. Ensure data quality and integrity in all projects. Communicate findings and insights effectively to stakeholders. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Education Degree in Engineering Stream, Data Science, Statistics, or a related field. Proven experience with Python and Java programming languages. Extensive experience in developing and deploying machine learning models. Strong background in GenAI and its applications. Advanced proficiency in Python and Java. Expertise in GenAI technologies and frameworks. Strong understanding of machine learning algorithms and techniques. Experience with big data tools and platforms. Proficiency in data visualization tools such as Matplotlib, Seaborn, or Tableau. Preferred qualifications, capabilities, and skills Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Knowledge of data engineering and ETL processes.

Responsibilities: * Develop data strategies using Power BI, Hadoop & NLP. Database management system programming Predictive modeling, NLP and text analysis Data modeling tools (e.g. ERWin, Enterprise Architect and Visio) Flexi working Work from home

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-3-9YRS In Gen AI AWS PKG Upto-25LPA Loc- Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-4-12YRS In Gen AI AWS PKG Upto-25LPA Loc-Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Data Analytics. This position is based at our Kolkata office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Business Function Implementation Lead Project Role Description : Plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. Ensure alignment with business requirements including process analysis, design/re-design and/or organization structure definition. Must have skills : SAP CO Product Cost Controlling Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As a Business Function Implementation Lead, you will plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. You will ensure alignment with business requirements including process analysis, design/re-design, and/or organization structure definition. Your typical day will involve strategizing and executing plans to optimize the performance of the business function, analyzing processes, and defining organizational structures to enhance efficiency and effectiveness. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the implementation of all activities for a specific business function Analyze processes and identify areas for improvement Define/redefine organization structure to enhance efficiency and effectiveness Professional & Technical Skills: Must To Have Skills:Proficiency in SAP CO Product Cost Controlling Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP CO Product Cost Controlling This position is based at our Bengaluru office A BE degree is required Qualifications BE

Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/Bangalore Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertise"strategic, industry, functional, technical"in a diverse project environment that offers multiple opportunities for career growth. The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape. Here are just a few of your day-to-day responsibilities. Identifying, assessing, and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies. Implementing programs/interventions that prepare the organization for implementation of new business processes Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients Deep understanding of industry best practices in data governance and management Provide thought leadership to the downstream teams for developing offerings and assets Qualifications Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 6-10 years of large-scale consulting experience and/or working with hi tech companies in data governance, and data management. Certified on DAMA (Data Management) Experience: We are looking for experienced professionals with information strategy, data governance, data quality, data management, and MDM experience across all stages of the innovation spectrum, with a remit to build the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes - Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. MDM / DQ/ DG Architect - Data Governance & Management SME for areas including Data Quality, MDM, Metadata, data lineage, data catalog. Experience one or more technologies in this space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Platforms (Energy) Specialist Find endless opportunities to solve our clients' toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Energy, Industry Consulting, Capability Network I Areas of Work: Platforms | Level: Analyst | Location: Delhi, Gurgaon, Mumbai, Bangalore | Years of Exp: 0-3 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of the Energy practice, that blends deep functional and industry knowledge, you will accelerate the reinvention journey for companies, helping them achieve profitability and staying relevant in the years ahead. Together, let's make the future of oil and gas - safer, smarter and cleaner. In this practice, you'll help drive the following: Collaborate with stakeholders to deliver client projects and develop Digital Centers of Excellence to unlock new opportunities and drive efficiencies. Manage end-to-end delivery of projects for downstream clients in the areas of strategic decision-making, project management, digital transformation, cost optimization and so on. Accelerate clients' transformation journey towards a more connected, optimized, lean and agile organization. Assist senior management and leadership for drafting proposals, writing client pitches, and developing solution architecture. Identify and quantify cutting edge industry specific digital disruption opportunities through convergence of analytics & digital capability. Bring your best skills forward to excel in the role: Ability to solve complex business problems and deliver client delight Ability to multitask and streamline multiple projects Strong writing skills to build point of views on current trends in the industry Impeccable team management skills will an ability to engage effectively with multiple stakeholders Good analytical and problem-solving skills with an aptitude to learn fast Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Read more about us. Recent Blogs Your experience counts! MBA from Tier-I business school 0-3 years of work experience including 1 year of consulting experience Basic knowledge of Oil & Gas value chain in at least one industry segment (Upstream or Downstream) Broad knowledge in functional areas of Order to Cash, Purchase to Pay, Acquire to Retire, Record to Report is required Should have basic knowledge in any one or more of the following SAP S/4 Oil & Gas Downstream Oil and Gas SAP S/4 Oil & Gas Upstream Oil and Gas (SAP S/4 FIN+ Joint Venture accounting or Upstream Operations management.) SAP S/4 Sales and Distribution & C4C will be a plus SAP S/4 Material Management & Ariba will be a plus SAP S/4 Enterprise Asset Management SAP S/4 Production planning & Quality Management. SAP S/4 certification in any of the above SAP modules will be a plus. Must have experience working with Excel, MS PowerPoint. Knowledge of Power BI and other data analytics tools is a plus, but not mandatory. Qualifications What’s in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions. Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. Major Responsibilities: Rigorously and logically identify issues covering entire client problem to understand business objectives Generate key hypotheses and independently structures work at the stream or small project level Identify creative and useful additional analyses required and suggest new paradigms for recommendations Create effective, impactful and quality assured storylines and slides at stream or small project level Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions. Generates key hypotheses and independently structures work at the work stream or project level Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques Create highly predictive models using segmentation and regression techniques to drive profits Reviews analytics end-products to ensure accuracy, quality and timeliness. Develops effective working relationships with global teams and business partners Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Qualification and Skills Required: Advanced degree in Economics / Statistics / Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India. Acumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions Excellent verbal and written communication skills Excellent analytical skills Ability to work on a team or independently Ability to multi-task in a fast-paced, deadline-driven environment Advanced Word, Excel and PowerPoint skills Attention to detail Platforms/Environments: SQL, Python, VBA, Tableau Languages: English required Additional languages desired

Masters or PhD in Computer Science, Physics, Engineering or Math. Experience in data mining, large scale data acquisition, transformation, and cleaning. Hands on experience working on large-scale data science/data analytics projects. Ability to lead effectively across organizations. Hands-on experience with Data Analytics technologies such as AWS, ,Spark, Spark SQL, Python Implementing AWS services in a variety of distributed computing, enterprise environments. Proficiency with at least one the languages such as Python/Node.JS or Java. Experience defining system architectures and exploring technical feasibility trade-offs. 3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliability. Experience working on a code base with many contributors. Ability to prototype and evaluate applications and interaction methodologies. Experience with AWS technology stack.

The Staff Data Architect will be passionate about data and highly skilled and experienced in designing, developing, and implementing robust data architectures that support our business objectives. The Staff Data Architect will help implement company s modernization efforts to ensure our data flows, processing, and reporting are accurate and insightful. They will work closely with research, engineering, product management and other developers to design, build, and deploy data warehouse solutions and reporting tools that meet the growing analytical needs of our organization. Your Role Accountabilities: Data Architecture Design: Design and implement scalable, secure, and high-performance data architectures to support diverse business needs. Develop and maintain data models, data dictionaries, and metadata repositories. Define and enforce data standards, policies, and procedures. Data Strategy Governance: Collaborate with stakeholders to maintain data strategies and roadmaps. Establish and maintain data governance frameworks to ensure data quality and compliance. Implement re-usable data quality frameworks. Evaluate and recommend new data technologies and tools. Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Ensure data security and privacy through appropriate access controls and encryption. Data Integration Management: Design ETL/ELT processes for data integration from various sources. Build software across our data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with awesome cutting-edge technologies. Optimize data storage and retrieval for efficient data access. Work closely with data analysts and business stake holders to make data easily accessible and understandable to them. Cloud Data Solutions: Design and implement cloud-based data solutions using platforms like AWS, Azure, Snowflake and Databricks. Optimize cloud data storage and processing for cost-effectiveness and performance. Stay up to date with the latest cloud data technologies and trends. Develop and enforce data engineering, security, data quality standards through automation. Performance Optimization: Monitor and optimize data system performance. Troubleshoot and resolve data-related issues. Conduct performance tuning and capacity planning. Collaboration Communication: Help us stay ahead of the curve by working closely with data engineers, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically . Work closely with business analysts business users to understand data requirements. Communicate complex technical concepts to non-technical stakeholders. Provide technical leadership and mentorship to junior team members. Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Help build and maintain foundational data products such as but not limited to Finance, Titles, Content Sales, Theatrical, Consumer Products etc Work closely with various other data engineering teams to roll out new capabilities. Build process and tools to maintain Machine Learning pipelines in production. Qualifications Experiences: Bachelors degree in computer science, information systems, or information technology. 10+ years of experience building and scaling data platforms, data architecture, data modeling, and data warehousing. 3+ Years of experience working as an Architect, designing enterprise data solutions. Strong experience with cloud data technologies including Snowflake, AWS Data Services, Python Scripting, Apache Airflow and Databricks. Passion for working with data and deriving insights to answer business questions that drive actions and decision-making Strong Experience in SQL and Data Modelling tools concepts. Experience with data virtualization and data mesh architectures. Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc) Experience leveraging creative analytics techniques and output to tell a story to drive business decisions Solid business acumen, and critical problem-solving ability, with a capacity for strategic thinking Comfort level with ambiguity and ability to manage multiple projects at the same time Excellent communication, presentation, and customer relationship skills. Not Required but preferred experience: Public speaking and presentation skills. Deep understanding of API connectivity and data streaming architecture

Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions. Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. Major Responsibilities: Rigorously and logically identify issues covering entire client problem to understand business objectives Generate key hypotheses and independently structures work at the stream or small project level Identify creative and useful additional analyses required and suggest new paradigms for recommendations Create effective, impactful and quality assured storylines and slides at stream or small project level Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions. Generates key hypotheses and independently structures work at the work stream or project level Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques Create highly predictive models using segmentation and regression techniques to drive profits Reviews analytics end-products to ensure accuracy, quality and timeliness. Develops effective working relationships with global teams and business partners Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Qualification and Skills Required: Advanced degree in Economics / Statistics / Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India. Acumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions Excellent verbal and written communication skills Excellent analytical skills Ability to work on a team or independently Ability to multi-task in a fast-paced, deadline-driven environment Advanced Word, Excel and PowerPoint skills Attention to detail Platforms/Environments: SQL, Python, VBA, Tableau Languages: English required Additional languages desired

The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Design End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others Ability to convert business logic to technical platform design, including knowledge of platform infrastructure Configuration Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems Data Analytics Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization to the client management Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans Testing Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing Communication Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects Plan, develop and deliver Super User and End User training, for a global user base Mentor junior analysts to familiarize them with technical and business aspects of a project What you'll have Education: Master s Degree required with 1 year of experience or Bachelor Degree with 3 years experience Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization Experience presenting on complex topics in a clear, concise, and easily understood manner Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design development, UAT/SIT, go-live/cutover and value realization is preferred Experience using agile methodology to deliver large scale enterprise implementations Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred

Qualification : Graduate in BA/BCom/BSc Job Description Roles and Responsibilities: Graduate in BA/BCom/BSc. Sound experience in selling engineering services like steel detailing. 1+ year of international calling experience. Sound knowledge of data mining from LinkedIn, Google and other platforms. Sound knowledge of sales and marketing. Ready to join immediately. Open to night shift.

Job Title: Machine Learning Engineer Location: Bangalore Job Type: Full Time We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic team. This role is ideal for individuals with 2-5 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services. Key Responsibilities: Assist in the design, development, and implementation of machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Preprocess and analyze large datasets to extract meaningful insights and patterns. Perform data cleaning, feature engineering, and data augmentation to improve model performance. Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches. Implement and optimize machine learning pipelines for efficiency and scalability. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Stay up to date with the latest advancements in machine learning and related technologies. Required Skills and Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field 0-2 years of experience in machine learning, Generative AI, Deep Learning, Natural Language processing. Strong fundamental knowledge of statistical modeling, machine learning, and data mining techniques, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. Proficient in programming languages such as Python and experience of development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant etc. Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Internship or project experience related to machine learning or data science. A project portfolio with multiple real life projects (pet projects are welcome) Preferred Skills and Qualifications: Experience with big data tools and platforms, such as Hadoop, Spark, or Hive Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform Familiarity with SQL and NoSQL databases Understanding of software development best practices, including version control (Git) and Agile methodologies.

Introduction: - Harman Tech Solutions (HTS) We re a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine physical and digital, making technology a more dynamic force to solve challenges and serve humanity s needs. Empower the company to create new digital business models, enter new markets, and improve customer experience. About the Role As EDI Analyst, your primary responsibility is to Assist the EDI team in debugging and resolving EDI issues in files. What You Will Do Understand the EDI process for HIPAA-compliant 834 files and non-standard files. Assist the EDI team in debugging and resolving EDI issues in files. Collaborate with the EDI team to build new files according to client requirements. Work with the development team for requirement analysis. What You Need Knowledge of HIPPA 834 enrollment files, Custom Healthcare enrollment files is must Basic knowledge of SQL queries. Basic knowledge of Salesforce is a plus. Experience in data mining is a plus. Prior experience in the healthcare industry is a plus. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. Be Brilliant employee recognition and rewards program. You Belong Here . About HARMAN: Where Innovation Unleashes Next-Level Technology . . !

How will you make an impact in this role? Sales Enablement Organization focuses on accelerating commercial business growth through training, tools and insights to provide a best-in-class customer experience and create a culture of doing it the right way. Sales Ops & Governance Role This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, and Analytics teams to drive growth in the sales organization. Key Responsibilities: Perform in-depth data analysis to deliver strategic priorities focused on the sales enablement roadmap for Small/Medium Business Have outstanding knowledge of Python, SQL, and Hive, encompassing data manipulation and statistical modeling/data-mining techniques Ability to work with huge unstructured data, apply analytical thinking to diagnose business needs and establish analytical hypothesis and solutions Analyze, deep dive, explore to identify data gaps and problem solve them by collaborating across teams. Detailed execution of the development, validation and implementation of automated analytical solutions with minimal to no manual intervention Leverage predictive modeling to identify tactics for channel optimization of existing areas and conceptualize opportunities. Challenge status quo, innovate, and harbor strong curiosity. Proactively identify opportunities to improve processes by evaluating and challenging existing approaches Effectively challenge the conceptual soundness, theory, approach, and usages of predictive models Minimum Qualifications 3+ years of Database Architecture & Administration experience in a professional environment Bachelor s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering) Must Have - High proficiency in Python and SQL, with strong working knowledge of analytical tools (e.g., Hive, PySpark, scikit-learn etc.) Programming: SQL, SAS, Python/R, Unix scripting, Excel/VBA Experience in Big Data environment, inclusive of data mining techniques. Experience applying advanced statistical and/or quantitative techniques to solve business problems Hands-on analytics and machine learning (ML) experience with understanding of data processing and model validation. Ability to address performance issues and to manipulate both structured and unstructured data Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing) Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal and communication skills Ability to deliver results, work independently, and prioritize tasks Self-starter who thrives in an evolving, dynamic environment Preferred Qualifications Proficiency in CRM tools, Salesforce, or statistical software programs Big data platform (Hadoop, SPARK, NoSQL DB, RDBMS) Cloud Products & Services like Google Cloud Visualization: Tableau, Power BI, Power Automate, Splunk Servicing Platforms like Service Now Others: Confluence, Sharepoint or any other workflow and content management tool