9439 Statistics Jobs - Page 49

Job Role: The primary responsibility of this role is to develop objectives for the call center’s day-to-day activities, ensuring that the team is meeting performance targets and delivering high-quality service to customers. Job Description: Manage large team within the call center environment, which includes having direct reporting of Team Leaders. Develop objectives for the call center’s day-to-day activities Conduct effective resource planning to maximize the productivity of resources (people, technology, etc.) Collect and analyze call-center statistics (sales rates, costs, customer service metrics, etc.) Assume responsibility of budgeting and tracking expenses Hire, coach, and provide training to personnel to maintain high customer service standards Monitor and improve efficiencies, telephone handling, and other procedures Evaluate performance with key metrics Prepare reports for different departments or upper management Prepare and be part of monthly and quarterly business reviews

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills Show more Show less

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team: As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Soltions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? The Role: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Strong analytical skills with track record of translating data into compelling insights Prior experience working in a product development role. knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI is a plus. Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Desirable Qualifications ● Minimum 2 to 5 years of experience in the e-commerce industry with strong knowledge and good understanding of various marketplaces (Amazon, Flipkart, Meesho etc.) ● Ability to coordinate with Marketplaces for solving queries and issues .Proficiency and ability to analyze data & sales statistics and translate results into better solutions ● Excellent communication and presentation skills, with the ability to articulate complex ideas and strategies effectively. Job Responsibilities ● Planning & executing advertisement campaigns, promotional activities, improve ACOS, sales conversion on marketplaces like Amazon, Flip kart etc. ● Cataloging, Pricing, Description, A+ Content ● Co-ordinate with marketplaces for deals and promotions identifying and exploring opportunities via market research and competitor analysis. ● Managing & monitoring inventory on marketplaces. ● Co-ordinate with marketplaces for solving queries and issues ● Develop cost centre budgets for all phrases of marketplace E-commerce ● Develop time and action calendars with processes and procedures to ensure actions are successfully completed. ● Work at both the strategic and tactical levels ● Develop and implement the assortment and inventory plan to match the sales plan. Work with other divisions to maximize inventory. If you have a passion for e-commerce, digital marketing, and driving results for clients, we’d love to hear from you Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹45,000.00 per month Schedule: Day shift Application Question(s): How much budget you have handled per month individually? How many minimum orders you received per day? Experience: E-Commerce: 2 years (Preferred) Location: Gurugram, Haryana (Preferred) Work Location: In person

· Strategically manage warehouse in compliance with company’s policies and vision · Oversee receiving, warehousing, distribution and maintenance operations · Setup layout and ensure efficient space utilization · Initiate, coordinate and enforce optimal operational policies and procedures · Adhere to all warehousing, handling and shipping legislation requirements · Maintain standards of health and safety, hygiene and security · Manage stock control and reconcile with data storage system · Liaise with clients, suppliers and transport companies · Plan work, assign tasks appropriately and appraise results · Recruit, select, orient, coach and motivate employees · Produce reports and statistics regularly (IN/OUT status report, dead stock report etc) · Receive feedback and monitor the quality of services provided Requirements-: Proven work experience as a warehouse supervisor Expertise in warehouse management procedures and best practices Proven ability to implement process improvement initiatives Strong knowledge of warehousing Key Performance Indicators (KPIs) Hands on experience with warehouse management software and databases Leadership skills and ability manage staff Strong decision making and problem solving skills Excellent communication skills BS degree in logistics, supply chain management or business administration Job Type: Full-time Salary: ₹15,000.00 - ₹25,000.00 per month Job Type: Full-time Pay: ₹15,000.00 - ₹22,000.00 per month Schedule: Day shift Night shift Rotational shift Ability to commute/relocate: Gurgaon Road, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Can you join in 2-3 days Experience: total work: 2 years (Required) Work Location: In person

AdPushup is a venture-backed ad revenue optimization platform and Google Certified Publishing Partner (GCPP), helping hundreds of web publishers grow their revenue using cutting-edge technology built into our ad revenue optimization platform. Our team is a mix of engineers, marketers, product evangelists, and customer success specialists, united by a common goal of helping publishers succeed, empowering the free web. What we are looking for: We are on pace to grow 2X this year in revenue as compared to 3X last year and need motivated and determined Account Executive to help increase our global operational footprint. This is an exciting opportunity for anyone who wants to be part of this growth journey. We are looking for a person who can close the incoming deal volume through inbound and outreach channels by working with our team of SDR. The person is required to structure, orchestrate, and close deals from a contractual, technical, and business terms standpoint. If closing business and cutting deals gives you a dopamine rush, this job is for you! Day-to-Day Tasks Include: Interpret data, analyze results using statistical techniques and provide ongoing reports. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business and information needs. Locate and define new process improvement opportunities. You should have: Proven working experience as a Data Analyst or Business Data Analyst. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. At Adpushup, we have: You’ll be on a rocket-ship! Inc 154 on the Inc 5000 2020 list, with a 2,518% growth rate. When you grow fast, things break – and you’ll get the opportunity to fix those things and learn in the process of working with one of the fasted growing company globally! A culture of valuing our employees and promoting an autonomous, transparent, and ethical work environment, which builds an open, honest, and direct communication channel with co-workers and business associates. Challenging opportunities: learning happens outside the comfort-zone and that’s where our team likes to be – always pushing the boundaries and growing personally and professionally.. Flexibility to shape your role with newer challenges and learning avenues.

Company Overview: LuxuryKase is a rapidly growing e-commerce company at the forefront of the industry. We are passionate about providing our customers with an exceptional online shopping experience. Data is at the heart of our growth strategy, and we are looking for a meticulous and driven E-commerce Data Analyst to join our dynamic team and help us turn insights into action. Job Summary: We are seeking an experienced E-commerce Data Analyst who is an expert in Excel and passionate about uncovering trends that drive business growth. In this role, you will be responsible for creating and distributing daily MIS reports, conducting in-depth analysis of our sales and product performance, and providing actionable recommendations to optimize our strategies and improve our numbers. If you are a data-driven individual who loves to see your analysis make a real-world impact, we want to hear from you. Key Responsibilities: Daily Reporting & MIS: Develop, maintain, and circulate accurate daily, weekly, and monthly MIS reports on key performance indicators (KPIs) such as revenue, conversion rates, Average Order Value (AOV), and website traffic. Ensure timely and accurate reporting to key stakeholders across sales, marketing, and management teams. Sales Performance Analysis: Analyze sales data to identify trends, patterns, and opportunities for growth. Track performance against sales targets and provide insights into variances. Monitor and analyze customer behavior, including traffic sources, customer acquisition cost (CAC), and cart abandonment rates, to suggest improvements. Product Performance Analysis: Analyze product-level data to identify best-selling items, underperforming products, and category trends. Provide data-driven recommendations for inventory management, product promotions, and merchandising strategies. Monitor product page performance and suggest optimizations to improve conversion. Data-Driven Recommendations: Translate complex data into clear, actionable insights and strategic recommendations. Collaborate with various teams to implement strategies aimed at improving our key business numbers. Conduct ad-hoc analysis to support business decisions and strategic initiatives. Required Skills and Qualifications: Proven experience as a Data Analyst, preferably in an e-commerce environment. Expert-level proficiency in Microsoft Excel is a must. This includes mastery of Pivot Tables, VLOOKUP/HLOOKUP, INDEX/MATCH, advanced formulas, conditional formatting, and creating charts/dashboards. Strong analytical and problem-solving skills with an exceptional eye for detail. Ability to work with large datasets and translate them into meaningful reports and insights. Excellent communication skills, with the ability to present complex information clearly and concisely. A proactive and self-motivated individual who can work independently and manage deadlines. Preferred Qualifications: Bachelor’s degree in Business, Economics, Statistics, or a related field. Experience with e-commerce platforms like Shopify, Magento, or WooCommerce. Familiarity with Google Analytics. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Why Join Us? Be a part of a vibrant and fast-growing company. A collaborative and supportive work environment where your insights directly influence business strategy. Competitive salary and benefits package. Opportunities for professional growth and development. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

At Relinns Technologies , we live and breathe innovation, reliability, and speed! Founded by an IIM alumnus, we have established ourselves as a fast-growing tech company, pushing boundaries and crafting cutting-edge solutions for global clients like Apollo Tyres, Khatabook, and Manchester City Football Club . Our in-house product BotPenguin , a leading AI-powered chatbot builder, is revolutionizing how businesses engage with customers. We believe in fostering a culture of learning, collaboration, and ownership , ensuring that every team member thrives in an intellectually stimulating and supportive work environment. With flexible working hours, team-building activities, and a passion-driven atmosphere, we empower our engineers to build, innovate, and grow! BotPenguin BotPenguin is an advanced SaaS-based chatbot builder that leverages AI-driven automation for seamless customer engagement. Our platform integrates multiple channels and provides businesses with a scalable, intuitive, and cost-effective chatbot solution. Visit our website here: https://botpenguin.com/ Key Highlights 59,000 plus customer onboarded 140+ Partners Customer across 193 countries 4 Million messages triggered per month The Role As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2–5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Schedule: Day shift Fixed shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product analyst: 2 years (Required) Work Location: In person

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. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally 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. Show more Show less

Job Role: Responsible for managing a team of customer service representatives, developing objectives for day-to-day activities, monitoring team performance, providing feedback, and handling customer complaints. Job Description: Manage large team within the call center environment, which includes having direct reporting of Team Leaders. Develop objectives for the call center’s day-to-day activities Conduct effective resource planning to maximize the productivity of resources (people, technology, etc.) Collect and analyze call-center statistics (sales rates, costs, customer service metrics, etc.) Assume responsibility for budgeting and tracking expenses Hire, coach, and provide training to personnel to maintain high customer service standards Monitor and improve efficiencies, telephone handling, and other procedures Evaluate performance with key metrics Prepare reports for different departments or upper management Prepare and be part of monthly and quarterly business reviews

The Opportunity Job Summary: We are seeking a highly skilled and detail-oriented Project Analyst to join our team. The ideal candidate will have a strong aptitude for working with numbers, creating compelling presentations, managing multiple projects simultaneously, driving quality, and achieving results. This role requires excellent analytical skills, attention to detail, and the ability to communicate complex information effectively. Key Responsibilities Analyze and interpret data to provide actionable insights and recommendations. Create and deliver high-quality presentations to stakeholders, utilizing tools such as PowerPoint and Excel. Manage multiple projects concurrently, ensuring timely completion and adherence to project goals. Maintain a keen eye for detail to ensure accuracy and consistency in all deliverables. Collaborate with cross-functional teams to drive project success and achieve desired outcomes. Monitor project progress and performance, identifying and addressing any issues or risks. Develop and implement strategies to optimize processes and improve efficiency. Ensure high standards of quality in all aspects of project execution and deliverables. Work with leaders and managers in driving results and support with necessary data for timely action and decision Qualifications Bachelor's degree in Business, Finance, Statistics, or a related field. Proven experience in data analysis, project management, and presentation creation, with a minimum of 5 years' experience in the same field. Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented with a focus on accuracy and quality. Ability to handle multiple tasks and projects simultaneously. Knowledge of data visualization tools (e.g., Tableau, Power BI). Disclaimer The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd Party Non-solicitation Policy By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation Show more Show less

Job Description Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc. Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness: the requirement is on-time with zero defects Qualifications Education/Training B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field. Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus Hard Skills Proven experience working as a data engineer Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Programming experience in Python, SQL, Scala Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake Experience with big data technologies (Hadoop) Databricks & Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration, prioritization, and adaptability skills required Ability to write highly efficient code in terms of performance / memory utilization Basic knowledge of SQL; capable of handling common functions Experience Minimum 5 -8 year of experience as Data engineer Experience modeling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally 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. Show more Show less

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. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally 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. Show more Show less

Job ID: 28453 Location: Chennai, IN Area of interest: Operations Job type: Regular Employee Work style: Office Working Opening date: 14 May 2025 Job Summary Strategy Awareness and understanding of the Group’s business strategy Business Manage and/or resolve alerts/cases Follow the Correspondent Banking DOI to process risk events in line with the Assess, Analyse, Act (AAA) process. Processes Manage and/or resolve alerts/cases: Follow the Correspondent Banking DOI to process risk events in line with the Assess, Analyse, Act (AAA) process. People & Talent Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm. Risk Management Analyse significant financial crime risk events (e.g. non-compliant transactions, production orders) to ensure that all connected parties, particularly cross-border are identified and reported at the appropriate levels internally across all relevant jurisdictions. Apply Group and FCC policies and processes (AML surveillance, client screening, risk assessment) to manage risks. Key Responsibilities Governance In the event of serious regulatory breaches, or where risk tolerances have been breached, ensure senior management are informed and that actions are taken quickly to remediate and/or activities are ceased. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders FCC Controls representatives in group and country. Other Responsibilities Embed Here for good and Group’s brand and values in India / FCSO / TMCB Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); Skills and Experience Compliance Policies and Standards Compliance Advisory Surveillance (including Screening and Monitoring) Investigations Compliance Risk Assessment Qualifications 1 to 2 years of relevant work experience in the following areas: AML and terrorist financing surveillance skills in relation the respective country jurisdictions, and client types. Analysis skills: able to analyze data trends and out of pattern activities, working knowledge of Internet and MS Office Suite & independently assimilate, analyse and evaluate information from disperse data sources to determine a course of action (e.g. case closure or escalation), and record and communicate this decision clearly and concisely. Banking: knowledge in terms of customers, products and transactions with expertise in at least one customer segment (retail, corporate, private banking, correspondent banking) Banking operations experience (Client Due Diligence, payments, trade, markets or other) and service oriented attitude. EDUCATION Relevant degree such as Bachelor's and Master's Degree in Business, Education, Statistics, Mathematics, Economics, Finance, Computer Science, Writing, Financial Services, Accounting TRAINING Mandatory & developmental – role-specific, and regulatory / compliance bank wide & role-specific LICENSES internal / externally required MEMBERSHIP Required for roles for continuous development / improvement/ awareness of current practices, etc. CERTIFICATIONS AML/KYC LANGUAGES Excellent communication in English (articulation and writing). About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add Analyst - Procurement position will be based in Coimbatore. What a typical day looks like: Perform administrative activities related to Purchasing. Maintains files, logs, records of invoices, purchase orders and other related documentation. Enters and maintains information on various business systems. Assists in expediting orders. May contact vendors to obtain prices and schedule delivery dates. May develop and maintain resources for assigned commodity items. Prepares standard requests for quotation. Coordinates pricing revisions, order cancellations, delivery date revisions, activities associated with discontinued items, reviews and may recommend acceptable substitutes, and resolves invoice discrepancies. Interfaces directly with suppliers to resolve purchasing, change order and logistics issues. Helps or participates in purchase order negotiation, placement, maintenance and follow-up. Reviews standardized reports to identify issues or generate group statistics. May recommend buys to planning or adjust PO deliveries. Performs computer queries and conducts other related research to provide component and order information May provide routing instructions, track and trace shipments, interface with carriers/freight forwarders/customs brokers. May prepare shipping and customs documentation. May help supplier contract negotiation and development. May assist in content preparation and participate in strategic supplier reviews. The experience we’re looking to add to our team: Typically requires completion of secondary school, vocational training, or equivalent with experience. Typically requires 0-2 years of related experience. What you’ll receive for the great work you provide: Health Insurance Paid Time Off #SS03 Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

About Kinaxis: About Kinaxis Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis. In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers. Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® CertifiedTM. Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration. About the team: Location Chennai, India (Hybrid) About the team This team is responsible for supporting data integration activities throughout the deployment of Kinaxis solutions. The job incumbent has a foundational level of technical and domain knowledge and can navigate Kinaxis’ technology solutions and processes for data management and integration. The team understands Kinaxis customers’ most pressing supply chain product offerings so that our customers can start to experience the immediate value of Kinaxis solutions About the role: What you will do Participate in deep-dive business requirements discovery sessions and develop integration requirements specifications, with guidance from senior consultants. Demonstrate knowledge and proficiency in both the Kinaxis Maestro (RapidResponse) data model, and REST based API Integration capabilities, and support identifying and implementing solutions best suited to individual data flows, under the guidance of senior consultants. Assist in integration related activities including validation and testing of the solutions. Technologies we use Bachelor’s degree in Industrial Engineering, Supply Chain, Operations Research, Computer Science, Computer Engineering, Statistics, Information Technology or a related field. Passion for working in a collaborative team environment and able to demonstrate strong interpersonal, communication, and presentation skills. 1-3 years of experience in implementing or deploying software applications in the supply chain management space or experience in data integration activities for enterprise level systems. Understanding of the software deployment life cycle; including business requirements definition, review of functional specifications, development of test plans, testing, user training, and deployment. Self-starter who shows initiative in their work and learning and can excel in a fast-paced work environment. Excellent problem-solving and critical thinking skills, able to synthesize a high volume of complex information to determine the best course of action. Works well in a team environment and can work effectively with people at all levels in an organization. Ability to communicate complex ideas effectively in English, both verbally and in writing. Ability to work virtually. What we are looking for Technical skills such as SQL, R, Java Script, Python, etc. Experience working with relational databases and Typescript, an asset. Experience working with Maestro authoring an asset. Experience working with supply chain processes and manufacturing planning solutions such as Maestro, SAP, Oracle, or Blue Yonder applications to support supply chain activities. Progressive experience with ETL tools such as Talend, OWB, SSISl SAP Data Services etc. Some database level experience extracting data from enterprise class ERP systems including SAP/APO, Oracle, and JDE. #Intermediate #LI-RJ1 #Hybrid Why join Kinaxis?: Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact. People matter at Kinaxis and these are some of the perks and benefits we created for our team: Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month) Flexible work options Physical and mental well-being programs Regularly scheduled virtual fitness classes Mentorship programs and training and career development Recognition programs and referral rewards Hackathons For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com. Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Job Responsibilities Develop teaching materials including exercises & assignments Conduct classroom training / virtual training Design assessments for various proficiency levels in a given competency Enhance course material & course delivery based on feedback to improve training effectiveness Gather feedback from stakeholders, identify actions based on feedback and implement changes Location: Mysore, Mangalore, Bangalore, Chennai, Pune, Hyderabad, Chandigarh Description of the Profile We are looking for trainers with 7 to 12 years of teaching experience and technology know-how in one or more of the following areas: Java – Java programming, Spring, Angular / React, Bootstrap Microsoft – C# programming, SQL Server, ADO.NET, ASP.NET, MVC design pattern, Azure, MS Power platforms, MS Dynamics 365 CRM, MS Dynamics 365 ERP, SharePoint Testing – Selenium, Microfocus UFT, Microfocus-ALM tools, SOA testing, SOAPUI, Rest assured, Appium Big Data – Python programming, Hadoop, Spark, Scala, Mongo DB, NoSQL SAP – SAP ABAP programming / SAP MM / SAP SD /SAP BI / SAP S4 HANA Oracle – Oracle E-Business Suite (EBS) / PeopleSoft / Siebel CRM / Oracle Cloud / OBIEE / Fusion Middleware API and integration – API, Microservices, TIBCO, APIGee, Mule Digital Commerce – SalesForce, Adobe Experience Manager Digital Process Automation PEGA, Appian, Camunda, Unqork, UIPath MEAN / MERN stacks Business Intelligence – SQL Server, ETL using SQL Server, Analysis using SQL Server, Enterprise reporting using SQL, Visualization Data Science – Python for data science, Machine learning, Exploratory data analysis, Statistics & Probability Cloud & Infrastructure Management – Network administration / Database administration / Windows administration / Linux administration / Middleware administration / End User Computing / ServiceNow Cloud platforms like AWS / GCP/ Azure / Oracle Cloud, Virtualization Cybersecurity Infra Security / Identity & Access Management / Application Security / Governance & Risk Compliance / Network Security Mainframe – COBOL, DB2, CICS, JCL Open source – Python, PHP, Unix / Linux, MySQL, Apache, HTML5, CSS3, JavaScript Show more Show less

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Data Scientist Location : Bangalore Business & Team: RBS Decision Science Impact & contribution: The Data Scientist will use technical knowledge and understanding of business domain to own and deliver moderate or highly complex data science projects independently or with minimal guidance. You also will engage and collaborate with business stakeholders to clearly articulate findings to solve business problems. Roles & Responsibilities: Lead data-driven initiatives, from problem formulation to model deployment, leveraging advanced statistical techniques and machine learning algorithms. Drive the development and implementation of scalable data solutions, ensuring accuracy and reliability of predictive models. Collaborate with business stakeholders to define project goals, prioritize tasks, and deliver actionable insights. Design and execute experiments to evaluate model performance and optimize algorithms for maximum efficiency. Develop and deploy production-grade machine learning models in cloud-based and on-prem platforms. Lead cross-functional teams in the design and execution of data science projects, ensuring alignment with business objectives. Stay abreast of emerging technologies and industry trends, continuously enhancing expertise in data science methodologies and tools. Drive innovation by exploring new approaches and techniques for solving complex business problems through data analysis and modelling. Mentor junior team members, providing guidance on best practices and technical skills development. Strongly support the adoption of data science across the organization. Identify problems in the products, services and operations of the bank and solve those with innovative research driven solutions. Essential Skills: Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark. 5+ years of experience in above skills Ability to write well designed, modular and optimized code. Knowledge of H2O.ai, GitHub, Big Data and ML Engineering. Knowledge of Snowflake, AWS, Azure etc. Knowledge of commonly used data structures and algorithms. Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level. Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets. Experience in Data Science in Pricing, Credit Risk, Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred. Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred. Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models. Good to have: familiarity with agentic coding such as Roo code and Cline Built and deployed large scale software applications. Understanding of principles of software engineering and cloud computing. Strong problem solving and critical thinking skills. Curious, fast learning capability and team player attitude is a must. Ability to communicate clearly and effectively. Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications. Most importantly - ability to identify and translate theories into real applications to solve practical problems. Education Qualifications: Bachelor’s degree in Engineering Or Master’s degree Or Ph.D. in Data Science/ Machine Learning/ Computer Science/ Computational Linguistics/ Statistics/ Mathematics/Engineering. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 02/07/2025 Show more Show less

Job Role: The primary responsibility of this role is to develop objectives for the call center’s day-to-day activities, ensuring that the team is meeting performance targets and delivering high-quality service to customers. Job Description: Manage large team within the call center environment, which includes having direct reporting of Team Leaders. Develop objectives for the call center’s day-to-day activities Conduct effective resource planning to maximize the productivity of resources (people, technology, etc.) Collect and analyze call-center statistics (sales rates, costs, customer service metrics, etc.) Assume responsibility of budgeting and tracking expenses Hire, coach, and provide training to personnel to maintain high customer service standards Monitor and improve efficiencies, telephone handling, and other procedures Evaluate performance with key metrics Prepare reports for different departments or upper management Prepare and be part of monthly and quarterly business reviews

Job Title: Data Analyst Location: Surat (On-site) Experience Required: Minimum 2 Years Job Type: Full-Time Department: Analytics/Data Science Reporting To: Data Lead / Business Head About the Role: We are looking for a results-driven and detail-oriented Data Analyst to join our team in Surat. The ideal candidate will have hands-on experience in analyzing complex datasets, creating insightful dashboards, and driving business decisions through data. Key Responsibilities: Gather, clean, and analyze structured and unstructured data from various sources. Build and maintain interactive dashboards and reports using Power BI and Looker Studio . Write and optimize SQL queries to extract meaningful insights from databases. Use Python for data manipulation, statistical analysis, and automation tasks. Collaborate with cross-functional teams to understand data needs and deliver solutions. Identify trends, patterns, and key insights that impact business performance. Ensure data accuracy, integrity, and security across all reports and dashboards. Present findings to stakeholders with clear storytelling and visualizations. Key Skills & Tools: Strong proficiency in Power BI and Looker Studio (Google Data Studio) Advanced knowledge of SQL (Joins, subqueries, window functions, etc.) Working knowledge of Python for data analysis (Pandas, NumPy, etc.) Understanding of data warehousing concepts and relational databases Experience with data cleaning, transformation, and visualization Strong analytical thinking and attention to detail Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field Minimum 2 years of relevant experience in a data analyst or business analyst role Good communication and presentation skills Job Type: Full-time Pay: Up to ₹30,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Education: Bachelor's (Required) Experience: Power BI: 1 year (Required) Python: 1 year (Required) Language: English (Preferred) Willingness to travel: 75% (Required) Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Work with large, diverse datasets to deliver predictive and prescriptive analytics Develop innovative solutions using data modeling, machine learning, and statistical analysis Design, build, and evaluate predictive and prescriptive models and algorithms Use tools like SQL, Python, R, and Hadoop for data analysis and interpretation Solve complex problems using data-driven approaches Collaborate with cross-functional teams to align data science solutions with business goals Lead AI/ML project execution to deliver measurable business value Ensure data governance and maintain reusable platforms and tools Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Technical Skills Programming Languages: Python, R, SQL Machine Learning Tools: TensorFlow, PyTorch, scikit-learn Big Data Technologies: Hadoop, Spark Visualization Tools: Tableau, Power BI Cloud Platforms: AWS, Azure, Google Cloud Data Engineering: Talend, Data Bricks, Snowflake, Data Factory Statistical Software: R, Python libraries Version Control: Git Preferred Qualifications: Master’s or PhD in Data Science, Computer Science, Statistics, or related field Certifications in data science or machine learning 7+ years of experience in a senior data science role with enterprise-scale impact Experience managing AI/ML projects end-to-end Solid communication skills for technical and non-technical audiences Demonstrated problem-solving and analytical thinking Business acumen to align data science with strategic goals Knowledge of data governance and quality standards At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic

Principal Applied Scientist Noida, Uttar Pradesh, India + 1 more location Date posted Jun 11, 2025 Job number 1829429 Work site Up to 100% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you an applied scientist with a passion for applying state-of-the-art AI innovations to augment human creativity? Join us as we grow the M365 Copilot Create ML team, where we are revolutionizing visual creation within the M365 Copilot, Microsoft Designer, Photos. Located in Noida, we're pushing the limits of machine learning to help create information workers to create the world’s best designs. As a Principal Applied Scientist in the Create ML team, you will work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will have the opportunity to develop cutting-edge visual creation models and build top tier visual creation experience in M365 Copilot. This role is crucial for driving innovation and creating modern, inclusive, and intelligent design experiences used by millions worldwide. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Experience with LLM/VLM/diffusion models (e.g., GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen). Technical background in coding and design, specifically in the development of AI models for scaled production services. Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development. Preferred Qualifications: Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms. Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members. Grounded in growth mindset, and advocate for diversity and inclusion. Customer obsessed and passionate about product impact. Responsibilities You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers. You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people’s lives. You will work with engineering partner teams on the model integration/flight/maintenance. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

We are urgently looking for Digital Marketing Specialist/Expert for EduVib brand of Talent Zone Academy situated in Noida Sector -62. Please go through the JD & Essential skills we are looking in the required candidate: Company Profile: EduVib is one-stop solution for all the necessary steps to help you study abroad. From university selection to visa application and even accommodation. Our goal is to help and guide students in realizing their career aspirations and also help them enroll in their dream universities so they can pursue their preferred courses. Our mission is to make this process as smooth and hassle-free as possible. Job Title – Digital Marketing Specialist/Manager Educational Qualification: Bachelor’s degree in Marketing, Digital media or relevant field. Experience: 3-6 years of experience Job Location: Sector 62, Noida. Office Timings: 10:30am – 7:00pm Working days – 6 Days Job Description: Digital Marketing Specialist will be responsible for the development and implementation of online marketing strategies to enhance the company’s online presence, improve its brand awareness, and increase sales or leads. The candidate must be proficient in social media, email marketing, SEO, and other digital platforms. The following are the main duties and responsibilities of a Digital Marketing Executive/Specialist: Develop and implement comprehensive digital marketing strategies using various digital channels such as websites, email marketing, social media, and advertising. Monitor and analyze performance of digital marketing campaigns and report on their effectiveness. Optimize content for the website and social networking channels such as Facebook, Twitter, Instagram, Google Plus, etc. Track the website traffic flow and provide internal reports regularly Identify trends and insights, optimize spend and performance based on the insights Conduct keyword research and web statistics reporting Contribute to social media engagement and brand awareness campaigns Use web analytics software to monitor the performance of client websites and make recommendations for improvement Create and manage content marketing strategies and social media presence Manage online customer acquisition and retention programs including SEO, email, affiliate, and graphics and social marketing Interact with designers to improve user experience Maintain partnerships with media agencies and vendors Essential skills required · Proven experience as Digital Marketing Executive or similar role. · Excellent understanding of digital marketing concepts and best practices. · Skills with content management (CMS), SEO/SEM, Google Analytics. Hands-on experience with online marketing tools and practices. · Excellent communication and interpersonal skills. · Creativity and analytical abilities. Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Work Location: In person