1793 Data Mining Jobs - Page 7

About The Role tbdQualification tbd

This position involves performing feasibility and impact assessments, reviewing documentation to ensure conformity to methods, designs, and standards, and achieving economies of scale during the support phase As a senior Business Analyst you will also be responsible for stakeholder communication, conducting primary and secondary research based on solution and project needs, supporting new solution design and other organizational initiatives, and collaborating with all stakeholders in a multi-disciplinary team environment to build consensus on various data and analytics projects, Location: Nagpur/Pune/Chennai/Bangalore Key Result Areas and Activities: Stakeholder Collaboration: Collaborate with Retail business product owners and end users to understand data and analytics requirements, Requirement Analysis: Analyse and triage business requirements to determine scope and data sources, Documentation: Create business and functional requirement documents (FSD, BRD, etc ) detailing the metrics and KPIs needed by the business, Development Collaboration: Collaborate with development and engineering teams on the delivery of data products, Testing Coordination: Coordinate and manage testing cycles, including user acceptance testing, Essential Skills: Business Data Analyst with a D&A background Understanding of the Luxury Retail Domain Experience in the full lifecycle of Data and Analytics projects from discovery to deployment Experience working with multiple stakeholders for requirements gathering and business prioritization Ability to articulate and measure the business value of requirements Knowledge of AI/GenAI concepts Ability to convert business requirements into implementation ready Epics and user stories Ability to contribute to estimations and project plans across data engineering and analytics teams Understanding a data visualization tools like Power BI Ability to write SQLs for data analysis T ools : Power BI, Snowflake, SQL, JIRA, Microsoft office suite Desirable Skills: Understanding of AI solutions Create and manage Epics and User stories, including acceptance criteria in JIRA Hands on knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus Qualifications: Bachelor's degree in computer science, engineering, or related field (Master's degree is a plus) 6 years of experience as Business Analyst Demonstrated continued learning through one or more technical certifications or related methods Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : MySQL Database Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will engage in the ongoing technical support and maintenance of production and development systems and software products. Your typical day will involve addressing various technical issues, providing hardware and software support, and implementing technology solutions across different platforms. You will work both remotely and onsite, ensuring that all systems operate smoothly within defined processes and operating models. Your role will require you to troubleshoot basic and intermediate level issues, contributing to the overall efficiency and reliability of the systems you support. 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.- Assist in the documentation of technical processes and procedures to enhance team knowledge.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in MySQL Database Administration.- Strong understanding of database management and optimization techniques.- Experience with troubleshooting and resolving database-related issues.- Familiarity with backup and recovery strategies for database systems.- Knowledge of performance tuning and query optimization.-A Strong proficiency in MySQL database administration and ability to plan and execute migrations from on premises to cloud environment-MySQL Replication configurations and troubleshooting (Master-slave and Master-Master)-Understanding of MySQL's underlying storage engines, such as Inno DB and My ISAM-Installation/upgrade MySQL DB instances-Experience with Native backup tool MySQL dump and Persona Xtra backup Additional Information:- The candidate should have minimum 3 years of experience in MySQL Database Administration.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a skilled Digital Sales Manager to join our team at Climbax Entertainment Pvt. Ltd., a leading software product company. The ideal candidate will have 5-10 years of experience in digital sales and a strong background in driving revenue growth through innovative sales strategies. Roles and Responsibility Develop and execute comprehensive digital sales plans to achieve business objectives. Lead and manage a team of sales professionals to meet or exceed sales targets. Build and maintain strong relationships with key clients and stakeholders. Identify new business opportunities and develop strategic partnerships. Analyze market trends and competitor activity to stay ahead in the industry. Collaborate with cross-functional teams to drive revenue growth. Job Requirements Proven track record of success in digital sales, preferably in the software product industry. Strong understanding of digital marketing channels and platforms. Excellent leadership and management skills, with the ability to motivate and inspire a team. Strong communication and interpersonal skills, enabling building strong relationships with clients and stakeholders. Ability to analyze data and make informed decisions to drive business growth. Experience with sales analytics tools and technologies is an advantage.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : AWS Redshift Good to have skills : AWS AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Redshift.- Good To Have Skills: Experience with AWS Administration.- Strong understanding of database management and optimization techniques.- Experience in application development using various programming languages.- Familiarity with cloud computing concepts and services. Additional Information:- The candidate should have minimum 5 years of experience in AWS Redshift.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAS Visual Data Mining and Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, manage project timelines, and contribute to the overall success of the development process, ensuring that applications are user-friendly and efficient. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Visual Data Mining and Machine Learning.- Strong analytical skills to interpret complex data sets.- Experience with data mining techniques and machine learning algorithms.- Familiarity with application development frameworks and methodologies.- Ability to work collaboratively in a team-oriented environment. Additional Information:- The candidate should have minimum 5 years of experience in SAS Visual Data Mining and Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Data Architecture PrinciplesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. 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.- Mentor junior professionals to enhance their skills and knowledge.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with Data Architecture Principles.- Strong understanding of database design and optimization techniques.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality management practices. Additional Information:- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description The Email Marketing Specialist will be responsible for developing and executing email marketing campaigns that drive engagement, lead generation, and conversions. Key Responsibilities Design and implement direct email marketing campaigns. Create, proofread, and edit content for email marketing campaigns to ensure messaging is consistent with brand guidelines. Segment email lists based on customer behavior, interests, and engagement. Utilize email marketing automation tools to build nurturing campaigns. Monitor and analyze campaign performance, including open rates, click-through rates, and conversion rates, to optimize future efforts. Planning the meeting, calling and lead conversation, Database mining from Apollo, LinkedIn A/B test various campaigns to drive engagement and performance. Stay updated on the latest trends in email marketing and suggest improvements for increased engagement. Collaborate with the content and design teams to ensure email designs are visually appealing and effective. Ensure compliance with email marketing regulations (GDPR, CAN-SPAM, etc.). Manage and grow the company's email database. Requirements Proven experience as an Email Marketing Specialist or similar role. Hands-on experience with email marketing platforms like Instantly.ai , Mailchimp, HubSpot, Sendinblue, etc. Strong knowledge of segmentation, personalization, and automation techniques. Excellent writing and proofreading skills. Analytical mindset and data-driven decision-making skills. Familiarity with A/B testing methods and conversion optimization. Knowledge of email marketing regulations (GDPR, CAN-SPAM). Ability to work in a fast-paced, dynamic environment and manage multiple task independly

You should have 2-5 years of relevant experience in generating leads from various marketing channels. Your responsibilities will include data mining, prospecting, and verifying leads for the sales team. Additionally, you will be expected to nurture existing customer relationships, generate reports, and follow up and track progress to ensure all sales objectives are met.,

Working at AxionConnect offers you more than just a job - it's a chance to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees by providing a range of benefits and resources to enhance both their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are dedicated to ensuring that you have the necessary tools and support to succeed. At AxionConnect, reputation and industry leadership are key. As a prominent ITES brand, we have built a strong reputation for delivering innovative solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, collaborating with leading organizations across various sectors. Our culture at AxionConnect is one of excellence. We encourage our employees to push boundaries, think creatively, and continuously strive for improvement. By investing in the latest technologies and providing a conducive work environment, we empower our team members to excel in their respective roles. We believe that collaboration and inclusivity drive innovation at AxionConnect. Open communication, teamwork, and knowledge sharing are encouraged, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career growth opportunities are abundant at AxionConnect. We are committed to the professional growth and development of our employees by providing ongoing training, mentorship, and advancement opportunities. This allows individuals to expand their skill sets, take on new challenges, and progress in their careers within our organization. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Ready to take the next step in your career with us Explore the exciting opportunity below: Tech Job: Sr Data Scientist Are you a skilled Data Scientist with expertise in statistical modeling (SAS EG/EMiner, Python), particularly within banking/insurance Join us at AxionConnect to contribute to model development, deployment, and predictive frameworks, leveraging your proficiency in credit risk modeling and machine learning. Turn data into actionable insights in a dynamic, client-centric atmosphere. Key Requirements: - Experience with statistical modeling language - SAS EG/EMiner Python - Knowledge of Analytical applications in the banking/insurance industry - Model development and validation knowledge - Design, development, and deployment of Predictive models and frameworks - Experience with modeling techniques such as Credit Risk Modelling and classification techniques - Passion for data, structured or unstructured - Hands-on experience with Python - Sound experience in data mining, data analysis, and machine learning techniques - Excellent critical thinking, verbal, and written communication skills - Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment - Good presentation skills If you meet these requirements and are ready to take on new challenges, we encourage you to apply and be part of our exceptional team at AxionConnect.,

As a Data Scientist II at AGCO, you will play a crucial role in developing and executing data science and analytics use cases to address critical business opportunities. Your responsibilities will include conducting research, designing models, implementing machine learning algorithms, and deploying scalable AI solutions. You will collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions. Communication of findings and insights through data visualizations and presentations will be essential for driving informed decision-making within the organization. Your impact will involve collaborating with key stakeholders to identify impactful insights, selecting appropriate AI/ML techniques for different business problems, translating business opportunities into actionable tasks, developing analytics solutions aligned with business goals, and deploying solutions in collaboration with cloud and data engineers. You will also be responsible for mapping analytical insights into actionable recommendations, advocating for change, staying updated on data science practices, and providing leadership and mentorship to junior data scientists. To be successful in this role, you should have at least 7 years of experience in a related field with a strong track record in implementing data science projects. Technical proficiency in Python, R, and big data tools is required, along with a deep understanding of machine learning algorithms and frameworks. Experience in data mining, predictive modeling, deep learning, and working with large datasets is essential. Strong data visualization, communication, and leadership skills are also necessary, along with a background in Mathematics, Statistics, Data Science, or related fields. At AGCO, you will have the opportunity to work in a diverse and inclusive environment that values innovation and personal growth. Benefits include health care plans, flexible work options, and the chance to contribute to feeding the world through innovative technologies. Join us in shaping the future of agriculture by applying now. Please note that this job description is not exhaustive and is subject to change at the discretion of AGCO, an Equal Opportunity Employer.,

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

Join us as a Decision Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team exist to leverage the power of data, using advanced analytics and data science to deliver assets that drive the performance of the bank. This enables smarter, faster, and more proactive decision-making, transforming the lives of customers, colleagues, and communities while protecting the sustainable advantage our data creates. This team offers an opportunity to work directly with business heads and influence decision-making through the use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst, you should have experience in data mining and building predictive & machine learning models using both structured and unstructured data. You should have an understanding of machine learning algorithms and their applications, as well as experience in the data science project lifecycle from use case framing to model building and deployment. Knowledge of Python & SQL is also required. Other highly valued skills may include strong communication skills, storytelling abilities, and problem-solving skills. The job location for this role is Noida. Purpose of the role: To extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across departments. Accountabilities: - Identification and extraction of relevant data from various internal and external sources. - Performing sensitivity analysis and scenario planning. - Monitoring and evaluating the performance of existing models. - Developing and implementing data quality control procedures. - Building and validating quantitative models to support decision-making across different business areas. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - For an individual contributor, manage own workload, take responsibility for the implementation of systems and processes within own work area, and participate in broader projects. - Execute work requirements, collaborate with closely related teams, and provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to own work. - Continually build an understanding of how all teams contribute to broader sub-function objectives. - Develop awareness of underlying principles and concepts in the area of responsibility, building upon expertise. - Make judgements based on practice and previous experience. - Communicate sensitive or difficult information to customers. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

Achieving your goals starts with supporting ours. Grow your career at United Airlines, where you can access top-tier health and wellness benefits, build lasting connections with your team and customers, and even travel the world using our extensive route network. Join us to help create what's next and define tomorrow together. At United, we prioritize our customers" satisfaction. As we strive to become the best airline in aviation history, delivering exceptional service is key. Our dedicated Customer Experience team plays a crucial role in ensuring outstanding service delivery, running a customer-centric, and dependable airline. From the Contact Center to customer analytics, insights, and innovation, our team works tirelessly to uphold our commitment to excellence. As United Airlines expands its fleet size and route network, we are looking for individuals to join our team and empower stakeholders across operating teams with timely and relevant data-driven insights. Your role will involve extracting data from various sources to build operational dashboards and reports, analyzing business performance, providing actionable insights, and supporting the creation of presentations for United leadership and external stakeholders. You will be responsible for executing solutions to business problems through data mining and analysis. This position is based on local terms and conditions at United Airlines Business Services Pvt. Ltd, a wholly-owned subsidiary of United Airlines Inc. Expatriate assignments and sponsorship for employment visas are not available for this role. Minimum Qualifications: - Bachelor's degree in a quantitative field such as Math, Statistics, Computer Science, Engineering, or a related discipline - 0 to 2 years of experience in analytics - Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information - Attention to accuracy and detail - Legal authorization to work in India for any employer without sponsorship - Fluency in English (written and spoken) - Successful completion of the interview process Preferred Qualifications: - Master's degree - Airline experience or knowledge of airline operations - Familiarity with database querying tools and the ability to write complex queries using Teradata SQL and/or Microsoft TSQL - Knowledge of reporting tools such as Spotfire, Tableau, or Power BI If you are looking to propel your career in the aviation industry and contribute to the success of a leading airline, consider joining our team at United Airlines. Your dedication and analytical skills will play a vital role in helping us achieve our goals and deliver exceptional service to our customers.,

You will be responsible for assisting in the procurement of goods and services required for daily operations at Mangalore Minerals Pvt Ltd. The ideal candidate for the Purchasing Assistant position should have a minimum of 1 year to a maximum of 3 years of relevant work experience and be based in Mangaluru. As a Purchasing Assistant, you will need proficiency in statistical analysis to interpret data and provide insights for purchase decisions. A basic understanding of machine learning techniques is required to help improve purchasing strategies. You should also be proficient in Python programming for data processing and analysis and have experience with data visualization tools to effectively present data to stakeholders. Knowledge in predictive modeling is essential to forecast purchasing trends and needs, along with familiarity with big data platforms for managing and analyzing large datasets. Your skills in SQL for database management and query execution will be valuable in gathering purchasing data, while experience in data mining will help uncover patterns and relationships within purchasing data. Your roles and responsibilities will include collaborating with suppliers to ensure the timely delivery of materials, performing data analysis to make informed purchasing decisions, maintaining accurate records of purchases, pricing, and other relevant data. You will also be responsible for monitoring inventory levels to prevent shortages or overstock situations, preparing reports on purchasing activities, and presenting them to the management team. Ensuring compliance with company policies and industry regulations during the procurement process will be crucial. This is a full-time position with a day shift schedule and the work location is in person at Mangalore Minerals Pvt Ltd.,

Summary About the role: The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 5+ years extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage Bachelor s or Master s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Not Applicable Specialism Data, Analytics & AI Management Level Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Design and develop deep learning models for computer vision tasks such as Object detection (e.g., YOLO, Faster RCNN) Image classification (e.g., ResNet, EfficientNet) Semantic/instance segmentation (e.g., UNet, Mask RCNN) Video frame analysis, tracking, or scene understanding Use OpenCV for image/video preprocessing and classical vision tasks Filtering, contour detection, edge detection, motion tracking, image transformations Prepare and manage largescale image/video datasets frame extraction, annotation support, augmentation Evaluate models using appropriate metrics (IoU, mAP, F1, precisionrecall curves) Finetune or build from scratch using frameworks like PyTorch or TensorFlow Collaborate with crossfunctional teams to translate requirements into deployable models Write clean, modular, and welldocumented Python code for training and experimentation MustHave Skills 4 6 years of experience in applied deep learning roles with focus on computer vision Proficiency in Python with strong skills in data structures, vectorization, and modular coding Handson experience with OpenCV for traditional image/video processing tasks Strong understanding of CNN architectures and common vision model types Deep learning experience with PyTorch or TensorFlow Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) Familiarity with model training, loss functions, optimization techniques, and performance tuning NicetoHave Skills Experience with video analytics or multiobject tracking Familiarity with Albumentations, imgaug, or other augmentation libraries Exposure to transformerbased vision models (e.g., ViT, Swin) Basic understanding of explainability techniques for vision models (e.g., GradCAM) Experience working with edge devices, embedded systems, or realtime CV (optional) Mandatory skill sets Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets Data analysis, SQL, MLOPS Years of experience required 5+ Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} No

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The U.S. Consumer Services Team is responsible for our suite of consumer products, services, and experiences in the U.S., including our premium, cobrand, cash back, and lending portfolios. The USCS team is focused on making membership an indisputable competitive advantage and helping each other become better leaders every day. The Product Analytics team within USCS is a key function that informs and drives product strategy and customer experience through data driven insights. We are currently hiring for the role of Analyst Loyalty and MR Analytics within Product Analytics. The Loyalty and MR Analytics Team supports the organization s efforts to drive customer engagement, maintain competitive differentiation and manage expenses through Membership Rewards (MR) earn and burn programs. The candidate will work on effectively leveraging data to generate insights for optimizing the MR program. The role will require cross-functional collaboration with several groups including Product Management, Marketing, Finance and Analytics. This role represents a unique opportunity to leverage applied quantitative skills to influence business strategy and drive measurable outcomes. Responsibilities Analyze Cardmember MR earn/burn behavior and inform marketing treatments to drive engagement Inform MR partner evaluation framework and redemption option strategy Communicate data driven findings and strategic insights effectively to stakeholders across the USCS organization and other cross-functional teams Collaborate with cross-functional teams including Product, Finance, and Marketing to align data insights with broader organizational objectives and initiatives Translate complex data into clear narratives and compelling business stories to influence executive-level decisions Stay informed on industry trends, emerging technologies, and best practices in analytics to drive innovation and continuous improvement Critical Factors to Success Strong analytical skills and an innovative approach to solving practical problems Sound knowledge of Machine learning algorithms / statistics / data mining and research methods Good understanding of the card economics. Experience in Charge/Loyalty analytics is a plus Exceptional verbal, written, and interpersonal communication skills Natural intellectual curiosity and strong interest in the credit card and loyalty space Minimum Qualifications Bachelor s degree required and Master s degree preferred in following areas: Statistics, Economics, Mathematics, Engineering, Business, Finance, Computer Science, or related quantitative fields 0 - 2 years of professional experience driving performance optimization through the application of advanced analytics and decision sciences Hands-on expertise using statistical analysis and data manipulation software/tools (e.g. SQL, Hive, Python and Big Data analytic techniques) Enthusiastic, self-driven individual with proactive approach to learning, identifying emerging industry trends, and generating innovative solutions Ability to learn quickly and work independently with large and complex datasets We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Job Title PMS Data Scientist Associate Job Description Minimum required Education: Bachelors Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. Minimum required Experience: Minimum 1-2 years of experience in Data Analytics, Data Modeling or equivalent with Vocational Education OR no prior experience with Bachelors Degree. Minimum required Certification: N/A Job title: PMS Data Scientist Associate Your role: nalyzes complex datasets from various sources to identify patterns, trends, and actionable insights, ensuring data-driven decision-making aligns with business objectives and compliance standards, working under general supervision. Creates detailed and visually appealing reports and dashboards using tools such as Tableau or Power BI to effectively communicate data insights and trends to stakeholders, enhancing their understanding of business performance. Develops and maintains robust databases and data pipelines, ensuring data accuracy, integrity, and accessibility, while implementing best practices for data governance and security within a limited level of autonomy. Works closely with cross-functional teams, including marketing, finance, and product development, to understand their data needs and provide analytical support that drives strategic initiatives and operational efficiency. Ensures compliance with data privacy regulations (such as GDPR or HIPAA) and company policies when processing sensitive or Protected Health Information (PHI), safeguarding data integrity and confidentiality. Conducts thorough data validation and verification processes, employing statistical methods and quality assurance techniques to guarantee the accuracy and reliability of reported data. Prepares comprehensive documentation of data analysis methodologies, processes, and findings, facilitating transparency, reproducibility, and knowledge sharing within the team and organization. Monitors key performance indicators (KPIs) and metrics, providing regular updates and actionable insights to management, supporting continuous improvement and strategic planning efforts. Supports data request and query resolution for internal and external audits, ensuring timely and accurate responses that meet compliance and regulatory standards. Implements process improvements in data collection, processing, and analysis, leveraging automation and advanced analytics techniques to enhance efficiency and effectiveness. Youre the right fit if: (4 x bullets max) 1. Experience.- 1-2 years of experience in Python/R/SQL coding 2. Skills. Data Analysis & Interpretation Data Harmonization & Processing Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Research & Analysis Structured Query Language (SQL) Regulatory Compliance 3. Education: Bachelors Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. 4. Anything else- Good in coding and communication skills. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company s facilities. Field roles are most effectively done outside of the company s main facilities, generally at the customers or suppliers locations. Indicate if this role is an office/field/onsite role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. & Summary Seeking a skilled and passionate React.js Developer to join our team with 58 years of experience. The ideal candidate should have a strong foundation in frontend development and a keen eye for delivering dynamic, highperformance web applications. You will collaborate closely with designers, backend developers, and product managers to build innovative solutions that enhance user experiences. Responsibilities Develop and maintain responsive web applications using React.js Collaborate with UI/UX designers to ensure technical feasibility of designs Write clean, maintainable, and scalable code, following best practices Integrate RESTful APIs and thirdparty services into applications Troubleshoot and debug application issues in a timely manner Mandatory skill sets ReactJs Angular Javascript HTML/CSS5 Preferred skill sets Years of experience required 58 years Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

Grade IResponsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using basic technical capabilities, developing working relationships to provide support with queries, issues and ad-hoc requests and assisting with quality assurance services. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Technology IT&S Group Job Description: Job Description: Responsible for delivering business analysis and consulting activities for the defined specialism using sophisticated technical capabilities, building and maintaining effective working relationships with a range of customers. Qualifications: Hands-on experience (typically approx. 4- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches Advanced SQL knowledge Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Strong business insight. Bachelors / Masters or equivalent experience in a quantitative field, preferably statistics. Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and customer leadership skills. Ability to lead large organizations through influence! Continuous learning and improvement mentality. About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills:

Overview About Business Unit: At the heart of everything we do is data and this team. Our premium data assets empower the team to drive desirable outcomes for leading brands across industries. Armed with high volumes of transactional data, digital expertise and unmatched data quality, the team plays a key role in improving all our product offerings. Our data artisans are keen on embracing the latest in technology and trends, so there s always room to grow and something new to learn here. Why we are looking for you: You have hands on experience in SQL, Postgres DB & Advance SQL Skills to work with Epsilon Market place team You have hands on experience in coding languages like Python & Shell Scripting. You have hands on experience in fine tuning SQL Queries. You are very good in handling & working closely with key partners of the Project, you must communicate and keep them informed on overall health on projects impacting Data platforms. You have exposure on Data warehouse, BI. What you will enjoy in this role: As part of onboarding team will be onboarding multiple CRM Client s across globe (US, APAC). Working on ingest of anonymized data is responsible for integration of first party client information into the CNVR ad serving ecosystem Working on the data assets which will be further used in performance measurement and efficacy of the defined solution, as well as feeding business intelligence, analytics and data mining. Working on scheduling, backup and recovery, and scripting (specifically python) for data integration. Supporting application works on the front lines of CNVR, as a direct face to our client roster that truly enables their ability to turn their valuable data assets into monetization and increased customer engagement. Responsibilities End to end development of automated receipt of anonymized data Quality detection of file layouts and file contents before acceptance into production Development of SQL based ETL routines that transform raw data into production assets to meet required business rule specifications Ensuring that coded solutions meet functional business requirements for ad serving and measurement Application specific controls and scheduling Custom solution building for syndicated and third party datasets Migration of production data assets to downstream consuming systems Disaster Recovery and Business Continuity implementations Workload Performance Management and Tuning Qualifications Bachelor s Degree in Computer Science or equivalent degree is required 3 - 6 years of experience in development using SQL, Adv SQL, PL-SQL, Python Relational DBMS, MPP and SQL knowledge (Oracle, SQL Server, MySQL, Greenplum), Postgres DB Solid experience in writing Basic and Advanced SQL queries and tuning/optimizing them Experience with distributed database systems Linux shell scripting Language Skills - Python Solid understanding in Data warehouse is plus Good experience in working with geographically and culturally diverse teams Good verbal and written communication skills Excellent written and verbal communication skills Excellent Analytical and problem-solving skills Ability to diagnose and solve problems quickly Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we ve provided marketers from the world s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology.

As an experienced HR data and business analytics professional, you will leverage your expertise in tools such as Power BI, Alteryx, and Tableau, along with your familiarity with the Snowflake database, to analyze and present data insights effectively. Your role will involve creating and maintaining dashboards for global customers, ensuring access management, and converting data into meaningful visualizations. You will be responsible for end-to-end automation of the Extract, Transform, and Load (ETL) process using Alteryx for dashboard and reporting requirements. Your ownership of project deliverables will be crucial in providing high-quality support that exceeds customer expectations. Additionally, you will prioritize maintaining a seamless user experience across all HR data services offered by the company. 7N, a leading IT services provider, offers you the opportunity to work with cutting-edge technologies alongside the top 3% of IT professionals in the industry. You will also enjoy excellent health benefits, a competitive salary structure without hidden deductions, and a work culture that values flexibility, growth, and respect. By joining 7N, you will be part of a value-driven organization that focuses on digital transformation across various industries and geographies, ensuring that you gain valuable experience and expertise in defining project scopes and strategic needs.,

The Data and Reporting Associate plays a vital role in converting raw data into valuable insights to support decision-making processes within the organization. This is an excellent opportunity for an individual who is detail-oriented, analytical, and enjoys working with data and reporting tools. Working alongside the analytics and reporting team, the Data and Reporting Associate will be involved in collecting, analyzing, and interpreting complex datasets to ensure accurate data reporting and to develop effective data-driven strategies. Collaboration with various departments is essential to tailor data solutions and provide insightful analyses aligned with strategic goals. The role requires a proactive approach, strong problem-solving abilities, and the skill to effectively communicate technical findings to non-technical stakeholders. Responsibilities - Collect, organize, and analyze large datasets from diverse sources for reporting purposes. - Develop and maintain dashboards and reports to facilitate informed decision-making. - Conduct regular audits and quality checks to ensure data accuracy and integrity. - Collaborate with different departments to understand and address their data requirements. - Translate intricate data findings into understandable insights and recommendations. - Assist in designing and implementing data management processes and procedures. - Monitor key metrics and generate recurring reports for performance monitoring. - Support data warehousing initiatives by aligning reporting needs with IT solutions. - Contribute to data strategy discussions and drive innovation in data analytics. - Provide training and assistance to team members on data reporting tools and techniques. - Conduct ad-hoc data analysis and deliver timely insights to stakeholders. - Uphold confidentiality and security of organizational data at all times. Requirements - Bachelor's degree in Data Science, Statistics, Business, or a related field. - Demonstrated experience in data analysis, reporting, and visualization tools such as Tableau. - Proficiency in SQL and Excel for data manipulation and analysis. - Strong analytical skills with a keen focus on accuracy and attention to detail. - Ability to effectively communicate complex data insights to non-technical audiences. - Prior exposure to data management and reporting software is preferred. - Familiarity with statistical analysis and data mining techniques is advantageous.,

As a member of the Google Cloud Consulting Professional Services team, you will have the opportunity to contribute to the success of businesses by guiding them through their cloud journey and leveraging Google's global network, data centers, and software infrastructure. Your role will involve assisting customers in transforming their businesses by utilizing technology to connect with customers, employees, and partners. Your responsibilities will include interacting with stakeholders to understand customer requirements and providing recommendations for solution architectures. You will collaborate with technical leads and partners to lead migration and modernization projects to Google Cloud Platform (GCP). Additionally, you will design, build, and operationalize data storage and processing infrastructure using Cloud native products, ensuring data quality and governance procedures are in place to maintain accuracy and reliability. In this role, you will work on data migrations, modernization projects, and design data processing systems optimized for scaling. You will troubleshoot platform/product tests, understand data governance and security controls, and travel to customer sites to deploy solutions and conduct workshops to educate and empower customers. Furthermore, you will be responsible for translating project requirements into goals and objectives, creating work breakdown structures to manage internal and external stakeholders effectively. You will collaborate with Product Management and Product Engineering teams to drive excellence in products and contribute to the digital transformation of organizations across various industries. By joining this team, you will play a crucial role in shaping the future of businesses of all sizes and assisting them in leveraging Google Cloud to accelerate their digital transformation journey.,