1793 Data Mining Jobs - Page 3

As a valuable team member at Zenoti, you will be part of an innovative company that offers an all-in-one, cloud-based software solution for the beauty and wellness industry. Our platform enables businesses to efficiently manage various aspects such as online appointment bookings, POS, CRM, employee management, inventory management, and marketing programs, ultimately enhancing customer retention and increasing revenue. With a global presence in over 50 countries and a diverse portfolio of clients including renowned brands like European Wax Center, Hand & Stone, and CorePower Yoga, Zenoti has established itself as a leader in the industry. Your primary responsibilities will include understanding the needs of Business Decision Makers to identify opportunities where Zenoti's software solution can provide long-term value. You will be tasked with creating a database of potential customers using tools like Hunter, Rocketreach, and ZoomInfo, and developing compelling email campaigns to convert prospects into opportunities. Additionally, you will serve as the main expert on Zenoti's product offerings, assisting potential customers with any initial inquiries they may have. Meeting and exceeding monthly and quarterly targets, as well as generating pipelines and engaging in activity-based targets, are essential components of this role. To excel in this position, you should possess internship or prior work experience in Email Marketing, Account-Based Marketing, Market Research, Data Mining, and proficiency in MS Excel. Strong interpersonal communication skills, including attentive listening and superior writing abilities, are crucial. A keen desire to work in a competitive environment that values personal growth based on abilities and attitude is highly valued. Moreover, having a general understanding of the IT Software and SaaS industry, as well as familiarity with Sales Processes and tools like Outreach, Salesforce, and Jira, will be advantageous. Previous experience in the beauty wellness industry, Email Marketing, or working in regions like North America, Europe, Africa & IMEA will be considered a plus. At Zenoti, you will have the opportunity to contribute to impactful projects that shape the global success of our platform. Our dynamic and diverse team values collaboration, creativity, and growth, providing an environment where your contributions are recognized and appreciated. In addition to an attractive compensation package, we offer medical coverage for you and your family, access to wellness activities such as yoga, meditation, and stress management sessions, as well as opportunities to engage in social work and community initiatives. Join us at Zenoti and be part of a company that is revolutionizing the wellness and beauty industry.,

Lowes is a leading FORTUNE 100 home improvement company that caters to approximately 16 million customer transactions every week in the United States. With total fiscal year 2024 sales exceeding $83 billion, Lowes boasts a network of over 1,700 home improvement stores and a workforce of about 300,000 associates. Headquartered in Mooresville, N.C., Lowes is deeply committed to supporting the communities it serves by focusing on initiatives aimed at providing safe and affordable housing, enhancing community spaces, nurturing skilled trade professionals, and offering disaster relief where needed. Lowes India, the Global Capability Center of Lowes Companies Inc., located in Bengaluru and comprising more than 4,500 associates, serves as a key driver of the company's technology, business, analytics, and shared services strategy. The center excels in fostering innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From championing homegrown solutions to nurturing innovation through its Catalyze platform, Lowes India is instrumental in revolutionizing the home improvement retail sector while maintaining a strong focus on social impact and sustainability. The role of Merchandising Logistics Management (MLM) Analyst is pivotal in enhancing inbound flow efficiency from suppliers to Lowe's distribution centers and stores through the application of sophisticated analytics. The analyst's responsibilities include optimizing channel selection, inventory placement decisions, supplier ship-point optimization, freight mode selection, and more, all informed by merchant and replenishment business parameters and service expectations. Additionally, the role entails direct oversight of the Prepaid-to-Collect conversion program. Key Responsibilities: - Collaborate with Supply Chain Planning, Network Optimization, Transportation, and DC Ops teams to enhance inbound flow for specific product areas, supplier programs, and replenishment strategies. - Assess inventory depth and flow timing of freight. - Support reset activities, seasonal build entry/exit, and promotions by executing PLR packets. - Identify and address business risks and opportunities. - Proactively anticipate shifts in business trends and take necessary actions. - Coordinate and facilitate cross-functional business meetings. - Extract and analyze data to derive valuable business insights. - Implement channel and flow strategies to deliver enhanced business value. - Define optimal case pack quantities to minimize excess inventory. The ideal candidate should possess a minimum of 3+ years of experience in Supply Chain Management and project management, with a Bachelor's Degree in Engineering, Supply Chain Management, Operations Research, or a related field. Key skills required include excellent problem-solving abilities, strong written and verbal communication skills, proficiency in Merchandising decision-making tools, and familiarity with Inventory Management, Planning, Forecasting, and Transportation processes and systems. Desirable secondary skills include experience in data mining and visualization tools such as Power BI, SQL, MS Access, and Excel.,

As an Internal Auditor at our company located in Ahmedabad, you will be responsible for conducting internal audits to ensure compliance with policies and procedures set by the management. Your working hours will be from 9.30 am to 6.30 pm with the 2nd and 4th Saturday off. The salary for this position can go up to 18 lpa per year. To be considered for this role, you must have at least 8 years of internal audit experience in E-Commerce or Manufacturing companies and be a qualified CA. Your key responsibilities will include pre-auditing all financial transactions recorded in the ERP system, validating procurement and marketing transactions, conducting surprise stock counts at warehouses, identifying revenue leakages, and ensuring compliance with tax laws. You will also be required to observe any unusual or abnormal financial and commercial transactions, review IT rights periodically, suggest cost-saving measures, assist during statutory audits, and provide formal audit reports to the AVP Finance and Founders. The ideal candidate should possess strong analytical thinking skills, data mining capabilities, and technical knowledge of accounts, GST, and Income Tax. If you are interested in this opportunity, please share your updated resume along with details of your current salary, expected salary, and notice period.,

You are a strategic thinker passionate about promoting solutions in financial analysis. You have found the right team. As a Data Quality Analyst, you will collaborate with teams across the Corporate and Investment Bank and the broader bank to address and resolve data quality issues, develop monitoring metrics, and provide insights into identified challenges. Support the Corporate & Investment Banking Ops Risk Data Quality lead executing the Operational Risk data quality reviews across Corporate & Investment Banking. Build and maintain documentation and guidance to support the implementation of the Operational Risk Data Quality framework, improving overall data quality by removing subjectivity and driving a standardized approach. Support the Corporate & Investment Banking CORE team in managing the Data Quality working group, brainstorm ideas to improve CORE & RED data quality, and seek feedback from stakeholders across CIB, including Corporate, as appropriate. Perform qualitative reviews in line with firmwide CORE & RED standards and procedures on a periodic basis and share findings within the team. Track and review Data Quality observations with the CIB groups. Ensure timely escalation of material gaps or challenges relating to Operational Risk Data Quality, raising issues to the Corporate & Investment Banking CORE / Governance lead as appropriate. Perform root cause analysis and make recommendations for addressing identified deficiencies. Identify ways to continuously improve existing processes by leveraging Intelligent Automation solutions. Required qualifications, capabilities, and skills: - Bachelor's degree in Accounting, Finance, or a subject of a technical nature. - Proficiency with data mining/gathering and manipulation of data sets. - Inquisitive, enthusiastic, and diligent, and capable of challenging peers. - Strong verbal and written communication skills, with the ability to articulate complex issues clearly. - Ability to create ad hoc reporting for senior management. - Highly motivated and able to thrive and think clearly under pressure and tight deadlines. Preferred qualifications, capabilities, and skills: - Team player with the ability to be respected as a trusted partner for the Business, Finance, and FP&A Teams. - Highly motivated self-starter with excellent time management/prioritization skills. - Strong analytical and problem-solving skills with the ability to analyze large data sets and present conclusions concisely.,

We are seeking a motivated ERP Sales Representative to become part of our team, focusing on both domestic and international markets. As the ideal candidate, you will play a crucial role in lead generation, qualification, and nurturing potential clients for Microsoft and SAP solutions. Responsibilities include creating and managing a database of potential clients through data mining techniques to generate high-quality leads. You will be responsible for identifying and qualifying leads using inbound and outbound activities such as cold calling and email outreach. Engaging with leads to understand their challenges and aligning their needs with appropriate Microsoft and SAP solutions is essential. It is important to stay updated on Microsoft and SAP offerings to effectively communicate features and benefits to potential clients. Additionally, you will assist in executing and analyzing marketing campaigns to drive inbound leads and enhance visibility. Researching and identifying target customers within assigned industries to generate new leads, educating potential customers on the value of our solutions, and building strong relationships are also key responsibilities. Furthermore, you will be required to maintain a lead generation pipeline, ensuring proper tracking and nurturing of leads. Supporting the sales team by scheduling calls and demos, managing lead lists, and assisting in follow-up activities is part of the role. Regular reports on lead generation metrics need to be prepared to track progress effectively. About the Company: MINDQUAD Solutions Pvt. Ltd. is India's leading Microsoft Dynamics & SAP Solution and Implementation Partner, serving both domestic and international clients for over a decade. Our goal is to be a one-stop solution company that leverages the best of SAP & Microsoft Dynamics technologies to deliver the best-fit solutions to our clients. We have developed smart and innovative solutions for various industries including Steel, Oil & Gas, Oil Refineries, Chemical Process, Manufacturing, Engineering, Textiles, Healthcare, and Retail businesses.,

Sykatiya Technology Pvt Ltd is a leading Semiconductor Industry innovator committed to leveraging cutting-edge technology to solve complex problems. We are currently looking for a highly skilled and motivated Data Scientist to join our dynamic team and contribute to our mission of driving innovation through data-driven insights. As the Lead Data Scientist and Machine Learning Engineer at Sykatiya Technology Pvt Ltd, you will play a crucial role in analyzing large datasets to uncover patterns, develop predictive models, and implement AI/ML solutions. Your responsibilities will include working on projects involving neural networks, deep learning, data mining, and natural language processing (NLP) to drive business value and enhance our products and services. Key Responsibilities: - Lead the design and implementation of machine learning models and algorithms to address complex business problems. - Utilize deep learning techniques to enhance neural network models and enhance prediction accuracy. - Conduct data mining and analysis to extract actionable insights from both structured and unstructured data. - Apply natural language processing (NLP) techniques for advanced text analytics. - Develop and maintain end-to-end data pipelines, ensuring data integrity and reliability. - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. - Mentor and guide junior data scientists and engineers in best practices and advanced techniques. - Stay updated with the latest advancements in AI/ML, neural networks, deep learning, data mining, and NLP. Technical Skills: - Proficiency in Python and its libraries such as NumPy, pandas, sci-kit-learn, TensorFlow, Keras, and PyTorch. - Strong understanding of machine learning algorithms and techniques. - Extensive experience with neural networks and deep learning frameworks. - Hands-on experience with data mining and analysis techniques. - Proficiency in natural language processing (NLP) tools and libraries like NLTK, spaCy, and transformers. - Proficiency in Big Data Technologies including Sqoop, Hadoop, HDFS, Hive, and PySpark. - Experience with Cloud Platforms such as AWS services like S3, Step Functions, EventBridge, Athena, RDS, Lambda, and Glue. - Strong knowledge of Database Management systems like SQL, Teradata, MySQL, PostgreSQL, and Snowflake. - Familiarity with Other Tools like ExactTarget, Marketo, SAP BO, Agile, and JIRA. - Strong Analytical Skills to analyze large datasets and derive actionable insights. - Excellent Problem-Solving Skills with the ability to think critically and creatively. - Effective Communication Skills and teamwork abilities to collaborate with various stakeholders. Experience: - At least 8 to 12 years of experience in a similar role.,

The role focuses on implementing tools and strategies to analyze large volumes of data, identifying trends, and transforming information into valuable business insights. You will be responsible for setting up information formats and customized views for stakeholders in leadership, marketing, and sales roles throughout the organization. As a data-product owner, you will lead the translation of business requirements into data projects and vice versa, ensuring that data solutions address specific business challenges effectively. Collaborating with internal stakeholders from various departments like SFE, CRM, Marketing, Ethical & Trade Sales, MI, and Finance, you will identify opportunities to implement data-driven solutions. Your responsibilities will include actively contributing to the business intelligence plan, BI environment, and tools, as well as developing a strategic roadmap for Data & Analytics, incorporating Data Science into ANI India's overall Customer/Channel/Sales Force engagement strategy. Moreover, you will create reports and models for forecasting, trending, and predictive analytics, managing ad-hoc reporting, dashboarding, and analytics requirements. By driving data mining efforts and presenting key strategic solutions to business stakeholders for real-time decision-making, you will leverage both traditional (e.g., data lake) and advanced technologies like data science and AI. Furthermore, you will enhance data-based storytelling by summarizing analysis points and effectively visualizing them using BI delivery platforms. The ideal candidate should have over 6 years of experience and prior exposure in Pharma, FMCG, or FMHG sectors would be advantageous. Proficiency in tools such as SQL, SAS, Tableau, MS Excel, Power BI, Adobe Analytics, etc., is required for this role.,

As a Data Analytics Lead at Cummins Inc., you will be responsible for facilitating data, compliance, and environment governance processes for the assigned domain. Your role includes leading analytics projects to provide insights for the business, integrating data analysis findings into governance solutions, and ingesting key data into the data lake while ensuring the creation and maintenance of relevant metadata and data profiles. You will coach team members, business teams, and stakeholders to find necessary and relevant data, contribute to communities of practice promoting responsible analytics use, and develop the capability of peers and team members within the Analytics Ecosystem. Additionally, you will mentor and review the work of less experienced team members, integrate data from various source systems to build models for business use, and cleanse data to ensure accuracy and reduce redundancy. Your responsibilities will also involve leading the preparation of communications to leaders and stakeholders, designing and implementing data/statistical models, collaborating with stakeholders on analytics initiatives, and automating complex workflows and processes using tools like Power Automate and Power Apps. You will manage version control and collaboration using GITLAB, utilize SharePoint for project management and data collaboration, and provide regular updates on work progress via JIRA/Meets to stakeholders. Qualifications: - College, university, or equivalent degree in a relevant technical discipline, or relevant equivalent experience required. - This position may require licensing for compliance with export controls or sanctions regulations. Competencies: - Balancing stakeholders - Collaborating effectively - Communicating clearly and effectively - Customer focus - Managing ambiguity - Organizational savvy - Data Analytics - Data Mining - Data Modeling - Data Communication and Visualization - Data Literacy - Data Profiling - Data Quality - Project Management - Valuing differences Technical Skills: - Advanced Python - Databricks, Pyspark - Advanced SQL, ETL tools - Power Automate - Power Apps - SharePoint - GITLAB - Power BI - Jira - Mendix - Statistics Soft Skills: - Strong problem-solving and analytical abilities - Excellent communication and stakeholder management skills - Proven ability to lead a team - Strategic thinking - Advanced project management Experience: - Intermediate level of relevant work experience required - This is a Hybrid role Join Cummins Inc. and be part of a dynamic team where you can utilize your technical and soft skills to make a significant impact in the field of data analytics.,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the fastest-growing Non-Bank Financial Company (NBFC) lenders in the country. With verticals in wholesale, direct lending, and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs, CS India's tech-enabled model and underwriting capability facilitate lending at scale, addressing India's significant credit gap, particularly in underserved and underpenetrated segments of the population. Committed to long-term growth and evolution in the Indian market, Credit Saison India caters to MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI) and boasting an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings, CS India currently operates through a branch network of 45 physical offices, servicing 1.2 million active loans, managing an AUM of over US$1.5 billion, and employing approximately 1,000 individuals. Part of Saison International, a global financial company dedicated to bringing people, partners, and technology together to create resilient and innovative financial solutions for positive impact, Credit Saison India aligns with Saison International's mission to be a transformative partner in enabling opportunities and fulfilling people's dreams. Roles & Responsibilities: - Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identifying delinquent segments, programs, locations, and profiles. - Assist in developing credit strategies across the customer lifecycle, including acquisitions, management, fraud, and collections. - Perform necessary analytics to identify trends within the Portfolio. - Provide analytical support for internal portfolio reviews and enhance the portfolio's quality. - Collaborate with the Product and Engineering teams to implement Risk strategies. - Work with the Data Science team to provide inputs on key model variables and optimize risk models" cut-offs. - Develop a deep understanding of various data sources (Traditional and alternate) for effective underwriting. - Demonstrate a good understanding of various unsecured credit products. - Analyze business problems and convert them into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from a top-tier institution (IIT/IIIT/NIT/BITS). - 5+ years of experience in Data Science, Risk Analytics, or Risk Management, with expertise in building models, Risk strategies, or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages like Python or R. - Deep understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, confidence intervals, and Probability distributions. - Proficiency in statistical and data mining techniques. - Experience with machine learning techniques such as decision tree learning. - Familiarity with working on both structured and unstructured data. - Preferred experience in Fintech, Retail, SME, LAP, or Secured lending domains.,

Do you have in-depth experience in Nat Cat models and tools Do you enjoy being part of a distributed team of Cat Model specialists with diverse backgrounds, educations, and skills Are you passionate about researching, debugging issues, and developing tools from scratch We are seeking a curious individual to join our NatCat infrastructure development team. As a Cat Model Specialist, you will collaborate with the Cat Perils Cat & Geo Modelling team to maintain models, tools, and applications used in the NatCat costing process. Your responsibilities will include supporting model developers in validating their models, building concepts and tools for exposure reporting, and assisting in model maintenance and validation. You will be part of the Cat & Geo Modelling team based in Zurich and Bangalore, which specializes in natural science, engineering, and statistics. The team is responsible for Swiss Re's global natural catastrophe risk assessment and focuses on advancing innovative probabilistic and proprietary modelling technology for earthquakes, windstorm, and flood hazards. Main Tasks/Activities/Responsibilities: - Conceptualize and build NatCat applications using sophisticated analytical technologies - Collaborate with model developers to implement and test models in the internal framework - Develop and implement concepts to enhance the internal modelling framework - Coordinate with various teams for successful model and tool releases - Provide user support on model and tools related issues - Install and maintain the Oasis setup and contribute to the development of new functionality - Coordinate platform setup and maintenance with 3rd party vendors About You: - Graduate or Post-Graduate degree in mathematics, engineering, computer science, or equivalent quantitative training - Minimum 5 years of experience in the Cat Modelling domain - Reliable, committed, hands-on, with experience in Nat Cat modelling - Previous experience with catastrophe models or exposure reporting tools is a plus - Strong programming skills in MATLAB, MS SQL, Python, Pyspark, R - Experience in consuming WCF/RESTful services - Knowledge of Business Intelligence, reporting, and data analysis solutions - Experience in agile development environment is beneficial - Familiarity with Azure services like Storage, Data Factory, Synapse, and Databricks - Good interpersonal skills, self-driven, and ability to work in a global team - Strong analytical and problem-solving skills About Swiss Re: Swiss Re is a leading provider of reinsurance, insurance, and insurance-based risk transfer solutions. With over 14,000 employees worldwide, we anticipate and manage various risks to make the world more resilient. We cover a wide range of risks from natural catastrophes to cybercrime, offering solutions in both Property & Casualty and Life & Health sectors. If you are an experienced professional returning to the workforce after a career break, we welcome you to apply for positions that match your skills and experience.,

As a skilled Finance Expert, you will be responsible for providing insightful reports on efficiency, analytics, and strategy, with a focus on location strategy, span of control, reporting, and analytics. Your role will involve creating financial business cases to support various business initiatives and monitoring key metrics to drive data quality initiatives and determine future needs in the product area. You will be expected to develop and track performance metrics, prepare presentations, and conduct financial analysis on a wide range of topics for senior management. Your expertise in performing variance analysis will be crucial in understanding key drivers of results and presenting commentary to senior managers. Additionally, you will play a key role in designing new reports and dashboards to effectively communicate financial results to senior management. Your responsibilities will also include enhancing controls, streamlining processes, and implementing automation where possible to improve efficiency. To excel in this role, you should hold a Bachelor's degree in Accounting, Finance, or a related technical field, along with advanced proficiency in Excel and PowerPoint. Your strong skills in data mining and manipulation of data sets will be essential for success in this position. We are looking for a candidate who is inquisitive, enthusiastic, and diligent, with the ability to challenge peers constructively. Excellent verbal and written communication skills are a must, as you will be required to articulate complex issues clearly. Your proven track record in executing special projects with limited lead time or information, along with your ability to create ad hoc reporting for senior management, will be highly valued. If you are a highly motivated individual who thrives and thinks clearly under pressure and tight deadlines, and if you possess the skills and experience outlined above, we invite you to apply for this challenging and rewarding role.,

As a Ph.D. Data Scientist at PTS Consulting Services, you will be joining a dynamic team focused on advancing AI-driven solutions and conducting cutting-edge research in the areas of Artificial Intelligence (AI), Natural Language Processing (NLP), and Natural Language Understanding (NLU), as well as Generative AI. Your role will be pivotal in contributing to the development and implementation of advanced machine learning models and algorithms for various NLP and NLU tasks. Additionally, you will be responsible for analyzing large and complex datasets to extract valuable insights, training and evaluating machine learning models, developing relevant features from textual data, and collaborating with cross-functional teams to deliver comprehensive solutions. Furthermore, you will play a key role in continuously optimizing algorithms and models for efficiency and accuracy, documenting research findings, and staying updated with the latest advancements in AI, NLP, and NLU through continuous learning and participation in conferences and workshops. To qualify for this position, you must hold a Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, with proven expertise in AI, NLP, and NLU, demonstrated through a strong publication record in relevant conferences and journals. Proficiency in programming languages such as Python and libraries like NLTK, TensorFlow, PyTorch, or spaCy, experience with deep learning techniques and frameworks, and strong knowledge of statistical analysis, machine learning, and data mining are essential requirements. Additionally, familiarity with data preprocessing techniques for unstructured text data, excellent problem-solving skills, and the ability to work on complex research problems are crucial. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders are also desired qualities. Experience with cloud computing platforms, such as AWS or Azure, would be considered a plus. Join us at PTS Consulting Services and be a part of our journey towards major growth, where we value our clients and employees alike through a strong employee engagement culture. Come be a part of our team and contribute to the success of our AI-driven solutions and research efforts in the field of AI, NLP, NLU, and Generative AI.,

About Agoda Agoda is an online travel booking platform that offers accommodations, flights, and more. The company utilizes cutting-edge technology to connect travelers with a vast global network of 4.7 million hotels and holiday properties worldwide, in addition to flights, activities, and more. Based in Asia and being part of Booking Holdings, Agoda boasts a diverse team of over 7,100 employees representing 95+ nationalities across 27 markets. The work environment at Agoda is characterized by diversity, creativity, and collaboration. The company fosters a culture of experimentation and ownership, aiming to enhance customers" ability to explore the world. Our Purpose: Bridging the World Through Travel Agoda believes that travel enables people to enjoy, learn, and experience the diverse world we live in. It brings individuals and cultures closer together, promoting empathy, understanding, and happiness. As a team comprising skilled, driven, and diverse individuals from around the globe, we are united by a shared passion to make a positive impact. Leveraging innovative technologies and strong partnerships, we strive to simplify and enrich the travel experience for everyone. Specialist / Senior Specialist, Marketing Agoda is a prominent online travel booking platform offering accommodations, flights, and more. The company's advanced technology connects travelers with over 2.5 million properties globally. Headquartered in Asia and belonging to Booking Holdings, Agoda employs over 4,000 professionals from 90+ nationalities, fostering a collaborative and diverse work environment. The company thrives on innovation, experimentation, and ownership, empowering customers to discover the world. The Opportunity Agoda is currently looking for a Marketing Specialist/Senior Specialist to support and execute marketing initiatives aimed at enhancing brand visibility and driving lead generation. In this role, you will be responsible for planning and implementing marketing campaigns and activities, including various marketing events, to boost brand engagement, generate leads, and contribute to pipeline growth. Collaboration with the sales and business development team is essential to ensure that marketing efforts align with business priorities and support sales objectives. If you are passionate about marketing, leveraging data for campaign optimization, and working in close partnership with sales and business development teams, this role presents a unique opportunity to create a significant impact in a fast-paced, results-oriented environment. Role Overview The Marketing Specialist/Senior Specialist role at Agoda focuses on marketing for business partners, ensuring alignment with business objectives and creating compelling content and experiences that resonate with target audiences. Key responsibilities include planning, promoting, executing, and managing marketing campaigns in collaboration with the sales and business development teams. You will play a crucial role in designing marketing campaigns and activations to drive pipeline acceleration and enhance customer engagement. By utilizing data-driven insights, you will continuously refine marketing strategies to maximize the impact of initiatives. Key Responsibilities 1. Marketing Planning and Execution: Plan, promote, and execute marketing campaigns, including various event formats, to drive lead generation and support pipeline growth. 2. Content Development: Assist in creating engaging marketing content, such as webinar topics, scripts, presentations, and other materials tailored to different audience segments. 3. Project Management: Scope, plan, and oversee project components to ensure timely delivery of high-quality outcomes by collaborating with various teams and stakeholders. 4. Technology & Tools: Utilize and manage digital marketing tools and platforms, including webinar platforms (e.g., Zoom), ensuring seamless integration with systems like HubSpot, Salesforce, and other marketing automation platforms. 5. Performance Measurement & Optimization: Track and analyze key performance metrics, such as engagement rates, attendance rates, SQL generation, and conversions, to identify areas for improvement and optimize future campaigns. 6. Promotion & Audience Growth: Implement multi-channel promotional strategies, including email marketing, paid media, and organic social campaigns, to maximize audience engagement and campaign success. Requirements 1. Marketing Experience: Minimum of 2 years in a marketing role focusing on demand generation and operational execution. 2. Digital Tools Experience: Proficiency in using marketing systems and tools. 3. Content & Messaging: Ability to create engaging and relevant content tailored to various customer segments and aligned with sales priorities. 4. Data-Driven Approach: Skilled in tracking and analyzing marketing performance metrics to drive future improvements. 5. Cross-Functional Collaboration: Demonstrated experience working effectively with sales teams across different regions. 6. Project Management: Strong ability to manage multiple campaigns simultaneously in a fast-paced, deadline-driven environment. Why Join Us Joining Agoda means playing a pivotal role in shaping communication strategies and driving growth within the B2B marketing division. If you are an innovative thinker passionate about travel technology and possess the skills to enhance our brand narrative, we invite you to apply and become part of our dynamic team! Equal Opportunity Employer We will maintain your application on file for future consideration, and you can request the removal of your details at any time. For more information, please refer to our privacy policy. To all recruitment agencies: Agoda does not accept third-party resumes. Please refrain from sending resumes to our jobs alias, Agoda employees, or any other organizational location. Agoda will not be responsible for any fees related to unsolicited resumes.,

The role of Lead, Software Engineer at Mastercard involves playing a crucial part in the Data Unification process across different data assets to create a unified view of data from multiple sources. This position will focus on driving insights from available data sets and supporting the development of new data-driven cyber products, services, and actionable insights. The Lead, Software Engineer will collaborate with various teams such as Product Manager, Data Science, Platform Strategy, and Technology to understand data needs and requirements for delivering data solutions that bring business value. Key responsibilities of the Lead, Software Engineer include performing data ingestion, aggregation, and processing to derive relevant insights, manipulating and analyzing complex data from various sources, identifying innovative ideas and delivering proof of concepts, prototypes, and proposing new products and enhancements. Moreover, integrating and unifying new data assets to enhance customer value, analyzing transaction and product data to generate actionable recommendations for business growth, and collecting feedback from clients, development, product, and sales teams for new solutions are also part of the role. The ideal candidate for this position should have a good understanding of streaming technologies like Kafka and Spark Streaming, proficiency in programming languages such as Java, Scala, or Python, experience with Enterprise Business Intelligence Platform/Data platform, strong SQL and higher-level programming skills, knowledge of data mining and machine learning algorithms, and familiarity with data integration tools like ETL/ELT tools including Apache NiFi, Azure Data Factory, Pentaho, and Talend. Additionally, they should possess the ability to work in a fast-paced, deadline-driven environment, collaborate effectively with cross-functional teams, and articulate solution requirements for different groups within the organization. It is essential for all employees working at or on behalf of Mastercard to adhere to the organization's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. The Lead, Software Engineer role at Mastercard offers an exciting opportunity to contribute to the development of innovative data-driven solutions that drive business growth and enhance customer value proposition.,

Are you looking to develop your Data Analyst career Do you consider yourself an expert in deriving rules utilizing data and data analytics About Our Team RX Global aims to create unforgettable experiences for attendees and exhibitors through organizing events. The company is driven by innovation, creativity, and collaboration to provide exceptional services to clients. About The Role As a Data Analyst at RX Global, you will be responsible for analyzing complex data sets, generating insights, and contributing to data-driven decision-making. You will collaborate with cross-functional teams to identify trends, patterns, and opportunities for process improvement. Your work will have a direct impact on business strategies and operational efficiencies. Responsibilities - Defining and implementing data acquisition by building high-quality data solutions, including dashboards and reports for leadership. - Developing and maintaining databases by acquiring data from all sources to make the data evaluation process more flexible and scalable. - Creating best-practice reports based on data mining, analysis, and visualization. - Managing Data Analysis and Insight Generation. - Building complex datasets for marketing campaigns and testing impact, including business coverage against goals. - Identifying trends and opportunities for growth through analysis of complex datasets. - Analyzing databases to support decision-making, improve marketing efficiency, enhance customer experiences, drive business performance, and manage risks by interpreting complex data sets. - Managing existing databases to ensure regular cleaning and updating, evaluating internal systems for efficiency, problems, and inaccuracies, and developing and maintaining protocols for handling, processing, and cleaning data. Requirements - 8+ years of experience in mining data as a data analyst. - Experience in Data Management, data building, and marketing data analytics. - Experience in marketing analytics platforms like Power BI, Salesforce, Tableau, and Excel. Work in a way that works for you RX Global promotes a healthy work/life balance across the organization, offering various wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to help you meet your immediate responsibilities and long-term goals. You can work flexible hours to fit everything in and work when you are most productive. Benefits RX Global offers comprehensive benefits to ensure your wellbeing and happiness, including health insurance, group life insurance, group accident insurance, flexible working arrangements, employee assistance programs, medical screening, modern family benefits, long-service awards, new baby gifts, subsidized meals in Chennai, various paid time off options, and free transport pick up and drop from home to office and back in Chennai. About The Business RX is a global leader in events and exhibitions, leveraging industry expertise, data, and technology to build businesses for individuals, communities, and organizations. With a presence in 25 countries across 42 industry sectors, RX hosts approximately 350 events annually. RX is committed to creating an inclusive work environment and empowering businesses to thrive through data-driven insights and digital solutions. RX is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Management Level 09 - Professional IC Please read our Candidate Privacy Policy.,

You will be part of a team aligned with a specific Business Area, focusing on enhancing inbound flow from suppliers to Lowe's distribution centers and stores. Your role will involve leveraging analytics to influence channel selection, inventory placement decisions, supplier ship-point optimization, freight mode selection, and freight ownership. This will be based on merchant and replenishment business parameters and service expectations. Your responsibilities will include collaborating with various teams such as Supply Chain Planning, Network Optimization, Transportation, and DC Ops to implement enhancements in inbound flow for targeted product areas, supplier programs, and replenishment strategies. You will be involved in managing inventory depth and flow timing of freight, supporting reset activities, seasonal build entry/exit, and promotions by executing PLR packets. Additionally, you will be responsible for data extraction, reporting, and analysis to derive valuable business insights, executing channel and flow strategies to add value to the business, and optimizing case pack quantities to reduce excess inventory. To excel in this role, you should have at least 1 year of experience in Supply Chain Management. A Bachelor's Degree in Engineering, Supply Chain Management, Operations Research, or a related field is required. You must possess skills in data mining and visualization tools like Power BI, SQL, MS Access, and Excel. Familiarity with merchandising decision-making tools, inventory management, planning, forecasting, transportation processes, and systems is essential. Strong writing and communication skills are necessary, including the ability to create analytical documents for management presentations. Excellent problem-solving skills will also be beneficial.,

The ideal candidate for this position should possess a Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or a related technical field. You should have a minimum of 7 years of relevant work experience in a similar role, particularly as a data scientist or Statistician, developing predictive analytics solutions for various business challenges. Your functional competencies should include advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. You must have a strong programming background and expertise in building models using languages such as SAS, Python, or R. Additionally, you should excel in storytelling and articulation, with the ability to translate analytical results into clear, concise, and persuasive insights for both technical and non-technical audiences. Experience in working with large datasets, both structured and unstructured, is crucial, along with the capability to comprehend business problems and devise optimal data strategies. Your responsibilities will encompass providing solutions for tasks like Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization. It would be advantageous if you have experience working with big data platforms such as Hadoop, Hive, HBase, Spark, etc. The client you will be working with is a rapidly growing VC-backed on-demand startup that aims to revolutionize the food delivery industry. The team values talent, ambition, smartness, passion, versatility, focus, hyper-productivity, and creativity. The primary focus is on ensuring exceptional customer experience through superfast deliveries facilitated by a smartphone-equipped delivery fleet and custom-built routing algorithms. The company operates in eight cities across India and has secured substantial funding to support its expansion. If you meet the qualifications and are excited about the opportunity to contribute to this innovative venture, please share your updated profile at poc@mquestpro.com.,

The Assistant Professor of Computer Science will be responsible for conducting research in computer science and publishing findings in reputable journals and conferences. You will also be required to teach undergraduate and graduate courses in computer science, supervise student research projects, and provide guidance and mentorship. Additionally, you will participate in curriculum development and program assessment activities. To qualify for this role, you must have an M Tech in Computer Science or a related field, demonstrated expertise in a specific area of computer science, and a strong publication record in reputable journals and conferences. Experience teaching computer science courses at the university level is essential. Excellent communication and interpersonal skills, as well as the ability to work collaboratively in a team-oriented environment, are also required. Key skills for this position include proficiency in programming languages such as Java, C++, Python, knowledge of machine learning, data mining, algorithms, data structures, database systems, software engineering, cloud computing, and cybersecurity. This is a full-time, permanent position with a preference for candidates who can reliably commute or plan to relocate to Sikar, Rajasthan. Secondary education (10th pass) is preferred, and candidates with at least 1 year of teaching experience are encouraged to apply. If you are interested in this opportunity, please send your updated resume to 8003495714.,

As the Lead Data Science Expert (ML/AI/Data Science) at Egnify, you will play a crucial role in uncovering valuable insights from large volumes of data sourced from various internal and external outlets. Your expertise will be instrumental in making informed decisions that contribute to the enhancement of our products and services. Your key responsibilities will include: - Demonstrating a comprehensive understanding of the business challenges at hand. - Driving data analysis and developing models that directly impact our operational efficiency. - Collaborating with professionals from diverse scientific, engineering, and business backgrounds. - Partnering with engineers to implement and monitor the performance of data-driven recommendations, proofs-of-concept, and models. - Employing machine learning techniques to select features, optimize classifiers, and build predictive systems of high quality. - Conducting data mining using cutting-edge methodologies. - Extracting insights from authentic and publicly available sources to enrich data science initiatives and address data-related challenges. - Processing, cleansing, and validating data integrity for analytical purposes. - Performing ad-hoc analyses and presenting findings in a clear and concise manner. - Developing automated anomaly detection systems and continuously evaluating their efficacy. Qualifications: - B.Tech / M.Tech / PhD in Computer Science from prestigious institutions such as IITs or IISc, with a preference for leading engineering schools. - A minimum of 6 years of overall experience, including 2-3 years of demonstrable expertise in ML/AI/Data Sciences. - Proficiency in Data and Web Data Analytics. - Experience in utilizing machine vision, data mining, or machine learning to address real-world challenges with extensive image and/or video datasets. - Proficient in Python (e.g., pandas, numpy, scikit) or equivalent scripting languages. - Familiarity with R, Matlab, or other statistical tools. - Hands-on experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc. - Strong grasp of statistics, algebra, probability, and mathematical optimization. - Interest in leveraging scientific approaches to tackle educational issues on a large scale. - Excellent communication and collaboration skills to engage effectively with individuals from diverse technical backgrounds. - Possession of patents and/or technical publications is advantageous. - Prior experience in the Ed-Tech sector is desirable. In conclusion, at Egnify, we value a culture that fosters organizational success and individual satisfaction. Upholding principles such as thinking big, solving challenging problems, focusing on experiences, promoting accountability, nurturing talent, embracing failure as a means of growth, and ensuring an enjoyable work environment are key aspects of our ethos.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The MENA Technology team is seeking a candidate with experience in handling application issues, end-to-end complex data migration, conversion, and data modeling. The candidate will be part of the Level 3 Application Support team, providing technical support for applications developed in .Net and SQL Server/SSIS. We are looking for self-driven, organized, and process-oriented individuals who can perform with minimal supervision and deliver exemplary services to our clients. **Your Key Responsibilities** - Determination of the root cause of incidents - Deployment of applications and upgrades/patches in supported environments - Effective ticket management including logging, monitoring/updating, prioritizing, and resolving requests within SLA - Analysis, troubleshooting, and diagnosis of incidents - Maintenance of documentation surrounding Incident, Request Fulfillment, Problem, and Change Management - Bug fixing and improving application performance - Responding to major incidents via monitoring alerts - Working well within a multi-disciplinary team structure, but also independently - Strong interpersonal, verbal, and written communication skills - Meeting agreed deadlines, showing compliance with SLAs - Analyzing requirements and developing ETL/BI reports with minimal supervision - Developing scripts to automate the execution of ETL **Skills and Attributes for Success** To qualify for the role, you must have: - Strong interpersonal, verbal, and written communication skills in English - Experience developing ETL solutions for data warehouse environments - Experience programming in .NET, C#, ASP.NET, and T-SQL - Expertise in ETL tool SQL Server Integration Services - Knowledge of data mining and segmentation techniques - Experience in SharePoint Designer, InfoPath, Web Parts, and workflow creation - Good knowledge of MS SQL server configuration and database maintenance skills - Ability to write and analyze Stored Procedures and complex SQL queries - Experience working on production systems in an Azure cloud services environment - Hands-on experience on IIS servers - Configuring and troubleshooting virtual directory/application pool - Ability to meet agreed deadlines with demonstrable productivity **Ideally, you'll also have** - Knowledge/Experience in Azure DevOps - Knowledge/Experience in SharePoint and Power Apps would be advantageous **What We Look For** We are seeking a knowledgeable application support engineer to monitor and maintain the efficiency of our software applications. The candidate must constantly update their skills and knowledge to keep up with the ever-growing market demand. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You should have experience in UK recruitment as it is a mandatory requirement for this role. We are specifically looking for candidates from Bangalore. As a Delivery Lead, you will be responsible for supervising the work of a Delivery Team involved in Recruitment eXperience Outsourcing (RXO) programs. Your role may involve leading a team of Sourcers, Recruiters, or a combination of both. You will serve as the primary point of contact for resolving program escalations and will be expected to propose innovative solutions to contribute to client strategy and cost optimization. Additionally, you will provide guidance and mentorship to team members in various tasks related to candidate attraction and recruitment processes. Your responsibilities will include creating, updating, and overseeing adherence to standard operating procedures and best practices to ensure compliance, process efficiency, and quality consistency. You will evaluate current initiatives, strategies, tools, and technologies to identify and recommend best practices for delivery optimization. Collaborating with the program team and key stakeholders, you will understand the cultural diversity, skills, and business needs of clients to enhance candidate cultivation. In this role, you will manage a team of managers and oversee the delivery ROI reporting to Account Leaders. You will work closely with Program leadership on stakeholder management and serve as the primary contact for employee relations issues with direct reports. Your responsibilities will also include developing comprehensive delivery strategies, conducting data mining, sourcing potential candidates, compiling delivery metrics, and providing market and competitor evaluations to program teams and clients. As a Delivery Lead, you will be expected to handle complex inquiries from candidates and hiring managers, maintain a governance cadence with stakeholders, and focus on ensuring a positive and efficient experience for all key stakeholders and candidates. Your role will involve ongoing strategy development and process improvement initiatives to exceed expectations as per Service Level Agreements (SLAs). Your expertise in UK recruitment will be crucial for success in this role, and your contribution will play a significant role in achieving the goals of the Recruitment eXperience Outsourcing (RXO) programs.,

As a Senior Technical Manager at Kissflow, you will play a crucial role in managing customer projects from start to finish, driving opportunities for recurring services, and ensuring successful project delivery. Your responsibilities will include developing strategies for effective data analysis and reporting, overseeing analytics operations, and transforming raw data into valuable business insights. You will utilize your strong logical reasoning and business intelligence skills to enhance overall business performance. Key Responsibilities: - Develop effective data analysis and reporting strategies - Manage alignment around technology and data - Oversee analytics operations to ensure quality and correct discrepancies - Extract reports from various sources such as Marketing, Sales, and Customer Success - Build systems to translate raw data into actionable insights - Proactively explore data to identify trends, KPIs, and apply relevant hypotheses - Provide recommendations to enhance future business strategies - Evaluate new technologies and applications to optimize business performance Professional Competencies: - Passion for Analytics and Insights - Creative thinking and problem-solving skills - Attention to detail and ability to multitask in a deadline-driven environment - Quick learning ability in new industries and business types - Strong analytical, organizational, project management, and time management skills Professional Skills & Qualifications: - Minimum 3+ years of relevant experience in B2B space - Deep knowledge of data mining and modeling - Understanding of GTM Functions (Marketing, Sales, Customer Success) - Proficiency in analytics tools like Zoho Analytics, Power BI, or Tableau - Knowledge of SQL - Ability to translate business requirements into reports and dashboards - Willingness to learn new tools and technologies as needed - Excellent communication, presentation, and leadership skills If you are looking for a challenging role where you can utilize your analytical skills and drive business insights, this position at Kissflow's World Trade Centre, Perungudi location is the perfect opportunity for you. Join us in our mission to empower businesses through innovative low-code solutions and accelerate digital transformation.,

Job brief We are seeking an experienced Data Manager to lead the development and utilization of data systems. In this role, you will be responsible for identifying efficient methods to organize, store, and analyze data while maintaining strict security and confidentiality measures. An exceptional Data Manager comprehends the intricacies of data management and possesses a deep understanding of databases and data analysis procedures. You should also possess strong technical acumen and exceptional troubleshooting abilities. Your primary objective will be to ensure the seamless and secure flow of information within and outside the organization, guaranteeing timely access and delivery of data. By implementing effective data management practices, you will contribute to the overall success of our organization. Join our team and be a key driver in optimizing our data systems, unlocking valuable insights, and supporting data-driven decision-making processes. Responsibilities Create and enforce policies for effective data management Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects Establish rules and procedures for data sharing with upper management, external stakeholders etc. Support others in the daily use of data systems and ensure adherence to legal and company standards Assist with reports and data extraction when needed Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure digital databases and archives are protected from security breaches and data losses Troubleshoot data-related problems and authorize maintenance or modifications Requirements and skills Proven experience as data manager Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Familiarity with modern database and information system technologies Proficient in MS Office (Excel, Access, Word etc.) An analytical mindset with problem-solving skills Excellent communication and collaboration skills BSc/BA in computer science or relevant field

Title: Program Manager Business Excellence Business Unit: Function: Business Excellence Data Analytics Job Grade G10 / Manager Location : Sun House, Mumbai Key Responsibilities At Sun Pharma, we commit to helping you Create your own sunshine by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine As you enter the Sun Pharma world, you ll find yourself becoming Better every day through continuous progress. Exhibit self-drive as you Take charge and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we Thrive together and support each other s journeys. Position Summary 1) Business Processes Analysis and Automation a. Analyze and prepare As-Is process and process mapping b. Find out business process improvement and automation opportunities (Short term and long term). c. Translate actionable process improvement opportunities into projects with tangible benefits d. Manage the process repository 2) Data Driven KPIs identification and tracking a. Prepare Measurable KPIs for process to be improved in consultation with stakeholders. b. Measure existing KPI with system driven data. c. Get the data from multiples systems and track the KPIs based on data. d. Give visibility to management on the process improvement opportunities based on data. 3) Program Management for business excellence group. a. Communicate with all stakeholders and prepare the implementation plan. Track project plan for multiple projects from initiation till closure b. Work with the stakeholders to identify the solutions to meet the business requirements. Ensure that agreed solutions are implemented within project timeline and budget. c. Manage project scope and the deliverables. For deliverables and action items, identify the project resource and actionable tracking. d. Build project governance. Manage communication with stakeholders. Manage the steering committee and operational meetings. Ensure minutes are documented and followed through. e. Track the budget for the project spend and the benefit realization upon project closure 4) Market Benchmarking a. Process benchmarking against the market peer or other industry best practices. b. Identify the best practices followed by other companies and give input to management for decision making. 5) Data Analysis a. Proven working experience as a Data Analyst or Business Data Analyst b. Understanding of SAP and how to extract data from SAP & other data sources for data analysis c. Adept at queries, report writing and presenting findings d. Technical expertise regarding data models, database design development, data mining and segmentation techniques e. Strong knowledge of and experience with databases ( SQL etc), programming ( python, R etc) and reporting/visualization tools f. Strong analytical skill with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy Specific Certification: Certification in Data Analytics Skills: Data Analysis skills like Python, R Visualization skills like Power BI, Tableau SAP knowledge Pharma Industry acumen Travel Estimate Low Job Requirements Educational Qualification Preference of BE/B. Tech in Engineering or data analytics background. MBA is preferred Experience 4-8 years Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let s create a brighter future together! Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s).

Operations-Data Operations