585 Statistical Analysis Jobs

As a Retail Specialized Data Scientist at Level 9 in the Data & AI division of Accenture, your primary responsibility will be to leverage your deep understanding of the retail industry dynamics to drive data-driven decisions within our organization. You will work with various teams across marketing, product management, supply chain, and customer insights to develop advanced analytics, machine learning, and statistical modeling techniques that support business strategies and innovations. Your role will involve gathering and cleaning data from diverse retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. You should possess a strong ability to communicate complex data insights to non-technical stakeholders, ensuring data quality, accuracy, and consistency in handling large, complex datasets. Key skills needed for this role include a solid understanding of retail industry KPIs, proficiency in Python for data manipulation and machine learning, expertise in supervised and unsupervised learning algorithms, and the ability to optimize pricing strategies using advanced analytics. Additionally, familiarity with big data processing platforms like Apache Spark, Hadoop, cloud-based platforms such as AWS or Google Cloud, ETL processes, and data visualization tools like Tableau and Power BI would be beneficial. The ideal candidate should stay updated on the latest trends in data science and retail technology, collaborate effectively with cross-functional teams, and have a strong analytical, statistical, and retail-specific datasets and KPIs. If you are passionate about utilizing AI solutions to address critical retail business needs, applying machine learning algorithms for predictive modeling, and using advanced statistical methods for optimization and innovation, this position offers a dynamic opportunity to make a significant impact within the retail sector.,

The Professional, Data & Analytics Reporting role involves collecting, processing, and analyzing moderately complex datasets to generate actionable insights and develop detailed reports and dashboards using specific tools. You will collaborate with cross-functional teams to ensure data accuracy and integrity, performing data and statistical analysis using various programming languages. Additionally, you will support the effective presentation of data findings to partners to meet business objectives. Key responsibilities include gathering, processing, preparing, and analyzing datasets to extract significant insights, developing and maintaining automated reporting systems, implementing detailed reports and dashboards, and designing data visualizations to communicate complex data clearly. You will also support statistical analysis execution, identify trends, patterns, and anomalies in data, and implement opportunities to improve data collection and reporting processes. Furthermore, you will work closely with multi-functional teams to support data needs, value opportunities, and deliver solutions in partnership with digital technology and data engineering teams. Conducting data analyses to uncover trends, patterns, and actionable insights for decision-making, and performing quality assurance and data validation to ensure data accuracy, consistency, and security are also part of the role. The ideal candidate should have a minimum of 2 years of relevant work experience, typically reflecting 3 years or more of relevant experience. This is an entry-level full-time position based in Bengaluru, Karnataka, India, within the Information Technology (IT) sector of the Chemical Manufacturing, Food and Beverage Services, and Food and Beverage Manufacturing industry. Join us on this journey to bring professionals together under one roof, whether you are seeking your next job opportunity or looking for potential employers. We are here to support you every step of the way.,

You are a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. Your main responsibility will be developing, maintaining, and optimizing core backend systems and services, focusing on complex algorithms. Your role necessitates a deep understanding of Python, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. You will play a crucial role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. Working closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions is also part of your job. Your passion for data, problem-solving skills, and ability to thrive in a collaborative environment will be key assets. Experience in the financial or banking domain is beneficial. Your responsibilities will include designing, developing, and maintaining robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. You will efficiently perform data extraction, transformation, and loading (ETL) for large volumes of data from diverse providers while ensuring data quality and integrity. Building and maintaining RESTful APIs and microservices to facilitate seamless data access and transformation workflows is also part of your role. You will develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency. Applying statistical analysis techniques to derive trends, patterns, and actionable insights from data will be crucial. Additionally, you will implement data quality checks, perform root cause analysis on data anomalies, and ensure data accuracy and reliability. Collaboration with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions is essential. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis. - Extensive experience in building and maintaining RESTful APIs and working with microservices architectures. - Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka. - Solid understanding and practical application of statistical analysis methods for business decision-making. - Hands-on experience with PySpark for large-scale distributed data processing. - Strong SQL skills for querying, manipulating, and optimizing relational database operations. - Deep understanding of data cleaning, preprocessing, and validation techniques. - Knowledge of data governance, security, and compliance standards is highly desirable. - Experience in the financial services industry is a plus. - Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus. - Strong analytical, debugging, problem-solving, and communication skills. - Ability to work both independently and collaboratively within a team environment. Preferred Skills: - Experience with CI/CD tools and Git-based version control. - Experience in the financial or banking domain.,

As a Data Scientist at our company, you will be responsible for designing data-driven solutions to address business challenges. It is essential to understand the specifics of the automotive domain and consult with experts when necessary. You will work closely with vehicle IoT systems, particularly the Telematics Control Unit, and develop expertise in handling time-series data. Your role will involve performing data cleaning, preparation, and ETL processes to ensure the data quality is maintained. You will explore data to identify insights, trends, and patterns, collaborating with domain experts to test hypotheses. Additionally, selecting meaningful features for modeling and applying suitable ML/DL algorithms will be part of your daily tasks. Building training pipelines, optimizing models, and validating them are crucial steps in the process. Visualization and reporting findings using graphs and summaries will be essential in communicating results effectively. As a senior member of the team, you will also mentor junior data scientists and support their professional development. **Essential Requirements:** - Minimum of 4 years of industry experience in data science. - Proficiency in Python programming with experience in pandas, NumPy, matplotlib, and sklearn libraries. - Competence in statistical analysis, including descriptive, inferential statistics, and hypothesis testing. - Practical experience in mathematical modeling and various machine learning techniques such as Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. - Experience in econometric analysis. - Familiarity with deep learning models, including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). - Knowledge of unsupervised learning algorithms and image classification using computer vision. - Proven track record of successful model deployment. **Desirable Skills:** - Experience with accident simulation tools such as PC crash or OPENPass. - Familiarity with time-series and IoT data analytics. - Knowledge of LLMs. - Understanding of automotive systems, vehicle fundamentals, and the Controller Area Network (CAN) protocol.,

The role of Research Associate requires a highly motivated and detail-oriented individual with a post-graduate degree in Economics. As a Research Associate, you will be involved in diverse projects utilizing various research methods and synthesizing information from multiple sources. Your responsibilities will include working on primary research projects by assisting in data analysis and visually presenting insights. You will also be conducting secondary research on topics such as employee benefits, talent, and asset management of insurance companies. Data collection and validation on financial projects will be part of your tasks, requiring maintenance of databases. Additionally, you will work on projects involving data modeling of fixed income securities data to provide assumptions guidance for clients. In this role, you will be expected to identify and drive process improvements, which may include creating standard and ad-hoc reports. To qualify for this position, you should have a graduate degree in Economics or a related field from a reputable institution. Prior experience of 1-2 years in economic research, either through academic projects or professional roles, is preferred. Strong analytical skills and proficiency in statistical and econometric methods are required, with a preference for proficiency in data analysis software such as Stata. You should be able to deliver research, draw conclusions from data, and effectively communicate these insights while understanding the broader context. Additionally, excellent written and verbal communication skills are essential. If you are a candidate who meets these qualifications and is eager to contribute to a dynamic research environment, we encourage you to apply for this Research Associate position.,

The Senior Professional, Data & Analytics Reporting is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and build detailed reports and dashboards using specific tools. You will collaborate with cross-functional teams to ensure data accuracy and integrity, performing data and statistical analysis using various programming languages. Your role is crucial in effectively presenting data findings to partners to meet business objectives. You will be accountable for various key responsibilities, including capturing, processing, preparing, and analyzing complex datasets to extract significant insights, developing and maintaining automated reporting systems, and streamlining data analysis. Additionally, you will cultivate and maintain positive partner relationships to understand their data needs, provide insights, find improvement opportunities, and ensure reporting solutions address key objectives. In this role, you will build detailed reports and dashboards using various tools, design and implement data visualizations to communicate complex data clearly, and perform statistical analysis to identify trends, patterns, and anomalies in data. You will also identify opportunities to improve data collection and reporting processes, implement standard methodologies for data management and reporting, and work closely with cross-functional teams to deliver solutions in partnership with digital technology and data engineering teams. You are required to have a minimum of 4 years of relevant work experience, typically reflecting 5 years or more of relevant experience. As a part of the professional life, you will play a key role in conducting complex data analyses to uncover trends, patterns, and actionable insights for decision-making. Ensuring the accuracy, consistency, and security of data across all reports and analyses will also be a part of your responsibilities. TALENTMATE Portal aims to provide professionals with a platform to fulfill their career aspirations by bringing together job opportunities and potential employers under one roof. Whether you are seeking your next job opportunity or looking for potential employers, we are here to support you in your professional journey.,

The Senior Business Development Consultant position at Palo Alto Networks is a crucial role within the JAPAC Enterprise Agreement team. Your main responsibility will be to contribute to the growth of the Enterprise Agreement business in the JAPAC region, ultimately driving revenue for the company and providing optimal solutions for customers. Your role will involve supporting the sales teams in developing financial models for enterprise agreements, with a focus on creating high-quality deal proposals that align with the customers" needs and value expectations. You will collaborate closely with the field sales organization to structure and execute large enterprise deals, ensuring that the proposals are based on accurate information and tailored to meet the customers" requirements. As a Senior Business Development Consultant, you will need to demonstrate strong business acumen and analytical skills to interpret data trends and present recommendations to stakeholders effectively. Your ability to communicate professionally with internal teams and customers will be essential in facilitating deal execution and post-sales support activities. In addition to deal management and pricing experience, you should have a minimum of 10 years of experience in the technology sector, preferably with operations experience. Proficiency in data analysis, effective communication, and proficiency with tools like Google Workspace, Excel, and CRM systems is required for this role. You should also be a self-starter with a customer-focused mindset, attention to detail, and a passion for innovation. Joining the team at Palo Alto Networks means being part of a dynamic and inclusive work environment where innovation and personal growth are encouraged. Our culture values respect, ownership, and collaboration, with leaders and teams supporting each other through feedback and mentorship. We are committed to creating a safer world through diverse teams working together to challenge the status quo in cybersecurity. If you are looking to make a significant impact in the cybersecurity industry, thrive in a fast-paced environment, and have a passion for shaping the future of cybersecurity, we welcome you to apply for the Senior Business Development Consultant position at Palo Alto Networks. Palo Alto Networks is committed to providing reasonable accommodations for individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at accommodations@paloaltonetworks.com.,

The Apex Group, established in Bermuda in 2003, is one of the world's largest fund administration and middle office solutions providers. With a global reach and local service capabilities, our team of over circa 13,000 employees across 112 offices worldwide is dedicated to delivering exceptional growth and transformation. At Apex Group, we prioritize our clients and are committed to empowering our employees by supercharging their unique skills and experiences. We are currently seeking an exceptional Lead Data Analyst to join our team and lead our data analytics initiatives. As the Lead Data Analyst, you will be responsible for shaping our data analytics products, designing analytical frameworks, and driving innovation in data analysis methodologies. Working closely with senior leadership, cross-functional teams, and stakeholders, you will play a crucial role in identifying key business opportunities, providing strategic insights, and guiding the organization's data-driven initiatives. **Responsibilities:** - Assist in developing and implementing data analytics strategies aligned with organizational goals. - Identify data-driven opportunities to optimize business performance and achieve strategic objectives. - Collaborate with senior leaders to define analytical requirements and develop metrics for measuring business performance. - Design and implement advanced analytical models and algorithms to extract insights from complex data sets. - Provide thought leadership in data analysis, statistical modeling, and machine learning techniques. - Develop data governance frameworks and ensure data quality standards. - Lead cross-functional teams in designing data visualizations and reports. - Stay updated with emerging trends and technologies in data analytics. - Mentor and coach junior analysts to foster their professional growth. - Collaborate with data engineering teams to ensure efficient data collection and integration. - Present complex findings to senior leaders in a clear and compelling manner. - Promote a data-driven culture within the organization. **Requirements:** - Bachelor's degree in a quantitative field; Master's or Ph.D. preferred. - 10 years of experience as a Data Analyst, with significant senior or lead role experience. - Proficiency in SQL, Python/R, statistical analysis, and machine learning. - Experience with data visualization tools and data governance principles. - Strong analytical, problem-solving, and leadership skills. - Excellent communication and presentation abilities. - Ability to work independently, manage multiple projects, and prioritize effectively. **Preferred Qualifications:** - Experience with cloud platforms and big data technologies. - Knowledge of data science platforms and libraries. - Business acumen and experience in leading cross-functional teams. Location: Bangalore - North, India,

The Senior Data Analyst plays a crucial role in facilitating data-informed decision-making within the organization. Your responsibilities will involve converting raw data into insightful analyses that influence key business strategies. You will manage large datasets, develop robust data models, and provide actionable insights to address critical business questions. Collaboration with cross-functional teams is essential to ensure data initiatives align with business goals. This role requires a high level of technical expertise, analytical accuracy, and business acumen. Your contribution as a Senior Data Analyst will be instrumental in improving the organization's data infrastructure and advocating for an evidence-based approach to strategic planning and performance enhancement. You will be responsible for: - Developing and implementing advanced data analytics strategies to support business objectives. - Gathering, preprocessing, and analyzing complex datasets from various sources. - Creating and maintaining data models, dashboards, and reports using visualization tools. - Ensuring data quality through rigorous integrity and accuracy checks. - Collaborating with IT and other departments to optimize data workflows and processes. - Utilizing statistical software and methodologies for predictive and prescriptive analytics. - Identifying trends, insights, and patterns to drive strategic decisions. - Designing A/B tests to validate hypotheses and optimize strategies. - Mentoring junior data analysts and team members. - Presenting complex analyses and insights to senior leadership. - Promoting a data-driven culture and best practices in data analytics. - Exploring new data science methodologies and technologies for potential application. Requirements: - Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. - Minimum five years of experience in data analysis or data science roles. - Proficiency in data visualization tools like Tableau, Power BI, or similar. - Strong SQL skills and experience with large-scale relational databases. - Familiarity with statistical analysis tools such as R, Python, or SAS. - Strong problem-solving skills and attention to detail. - Effective communication skills to convey complex findings to non-technical stakeholders. - Track record of managing multiple tasks in a fast-paced environment. - Ability to work independently and collaboratively with diverse teams. The role is a mid-level position, requiring full-time commitment in Maharashtra, India. The company's website is https://www.talentmate.com. The job function is focused on Data Science & AI within the Recruitment & Staffing sector. At Talentmate, we offer a platform that brings professionals together for seamless job hunting and employer search experiences.,

As an Associate Manager Data Science within the Digital and Technology team, you will play a crucial role in modeling complex problems, uncovering insights, and streamlining workflows by utilizing statistical analysis, machine learning, generative AI, and data visualization techniques with cutting-edge big data & AI technologies. Your primary focus will involve collaborating with business partners to develop data science projects that drive advanced analytics and AI adoption to gain a competitive edge, enhance operational efficiency, and foster innovation. Your responsibilities will include executing end-to-end advanced data science projects aligned with business goals, mastering on-premise and cloud-based data warehousing and data lakes, staying abreast of the latest AI and ML technologies, constructing data pipelines for data ingestion, cleaning and imputing unclean data, conducting in-depth exploratory data analysis, engineering features relevant to data science problems, creating and assessing data models using various techniques, and presenting modeling results and recommendations to stakeholders in a clear and actionable manner. Moreover, you will collaborate closely with business stakeholders to identify challenges and opportunities, develop data-driven strategies, and implement solutions leveraging AI and machine learning technologies. It is essential to adhere to established standards, enhance documentation, share knowledge within teams, ensure data accuracy, consistency, and security, and effectively collaborate with team members. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or Applied Mathematics, along with at least 4 years of experience in data science. You should have a strong background in machine learning, statistical analysis, and predictive modeling, with practical expertise in programming languages like Python, R, or Scala. Proficiency in big data technologies, cloud-based solutions, and experience in developing scalable machine learning models for production environments are crucial. Additionally, familiarity with data engineering tools, cloud services platforms, containerization, CI/CD tools, and excellent communication skills are required for this position. As an integral part of a fast-paced and collaborative environment, you should demonstrate strong analytical skills, problem-solving abilities, and have a growth mindset to drive innovation. Your leadership behaviors should emphasize building outstanding teams, setting clear directions, simplification, collaboration, execution, accountability, fostering growth, embracing inclusivity, and maintaining an external focus to excel in this role.,

As a part of VGL Group, a leading electronic retailer of jewelry and lifestyle products, you will be contributing to the success of the organization which reported a turnover of ~$365 million in FY 2023-24 and employs over 4,000 individuals globally. With a significant presence in Jaipur, India where more than 3,000 employees are based, VGL operates through various multi-channel platforms including TV, e-commerce, and digital retail. The diverse reach of VGL includes brands like Shop LC in the USA, TJC in the UK, Shop LC Germany, Ideal World in the UK, and Mindful Souls. These platforms cater to millions of homes through live broadcasts, digital sales, and subscription-based e-commerce services. In addition, VGL is committed to social impact and ESG initiatives such as "Your Purchase Feeds" program providing meals to schoolchildren, employee volunteering, sustainability practices, and being recognized with awards for green built environments. Within the organization, you will experience a culture that values humanocracy, talent density, and meritocracy. VGL encourages a decentralized work environment that empowers small teams to drive innovation and ownership. Being certified as a Great Place to Work, VGL prioritizes high-performance teams and excellence across its global locations. As part of the team, your responsibilities will include assisting in planning and scheduling events, products, and pricing. You will also be involved in analyzing inventory, coordinating with warehouse teams, and monitoring sales figures. Your role will require excellent organizational, communication, analytical, and problem-solving skills to effectively collaborate and make informed decisions. To qualify for this position, you should hold a Bachelor's degree in Business Administration, Marketing, or a related field. Strong organizational abilities, effective communication skills, proficiency in data analysis, and adaptability to changing environments are essential requirements for this role. Join VGL Group to be a part of a dynamic team driving operational excellence and customer-centric growth in the retail industry.,

As a Data Researcher in this role, you will be responsible for identifying and analyzing trends to provide valuable insights for business process improvements. Your tasks will involve researching market trends, conducting surveys, and analyzing data from competitors and internal operations. By utilizing data analysis and interpretation techniques, you will contribute to guiding the decision-making process within the organization. You will be expected to apply statistical, economic, and data modeling tools to extract meaningful information from the data. Additionally, organizing and storing data for future research projects and monitoring marketing and sales trends will be a key part of your responsibilities. Your role will also involve researching specific market conditions, collecting data on consumers, competitors, and overall market conditions to support strategic decision-making. This is a full-time position based in Ahmedabad, Gujarat, India, with a long-term duration. If you are passionate about data research and analysis and enjoy working with various data sources to drive business insights, we are looking for someone like you to join our team.,

As an experienced AI professional with over 4 years of practical experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, segmentation, OCR, face recognition, and anomaly detection. Your expertise will be utilized to optimize these models for performance on edge devices like NVIDIA Jetson, OpenVINO, and TensorRT. You will also be involved in processing and annotating image/video datasets, applying data augmentation techniques, and working with Large Language Models. Your strong understanding of statistical analysis and machine learning algorithms will be crucial in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Additionally, your knowledge of image processing concepts like thresholding, contour detection, and transformations will be applied to tasks like model optimization, quantization, and deploying to edge devices such as Jetson Nano/Xavier and Coral. Proficiency in Python (or C++) programming is required, along with expertise in OpenCV, NumPy, and PyTorch/TensorFlow. Hands-on experience with real-time computer vision applications and models like YOLOv5/v8, Mask R-CNN, and DeepSORT will be beneficial. You will collaborate with multiple teams, contribute to key decisions, and lead the implementation of large language models in AI applications. Researching and applying cutting-edge AI techniques to enhance system performance will be part of your responsibilities, as well as contributing to the development and deployment of AI solutions across various domains. In terms of requirements, you will design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection in invoices/receipts/forms, and named entity recognition. Your role will involve evaluating and integrating third-party OCR tools, developing pre-processing/post-processing pipelines for image/text data, and working with video analytics platforms and MLOps tools. A background in academic CV research or published papers, knowledge of GPU acceleration, CUDA, and hardware integration will be advantageous for this position.,

Join our Instrument Reference Data Product and Change team as a Business Analyst in the Corporate and Investment Banking group. Lead cross-functional platform modernization initiatives by collaborating with Operations, Business, and Technology teams. Your role will involve delivering strategic initiatives using emerging technology, influencing stakeholders, and supporting decision-making processes. As a Business Analyst in the Instrument Reference Data Product and Change team, you will focus on delivering strategic initiatives across asset classes such as Fixed Income, Money Market, and Equities. You will drive programs by leveraging emerging technology, ensuring operational readiness for regulatory changes, and coordinating with multiple consumer applications. Your responsibilities will include analyzing data, engaging with stakeholders for requirements gathering, and incorporating stakeholder requirements into the Operating Model redesign. Key Responsibilities: - Analyze data to explain differences to stakeholders. - Engage with Technology and Operations stakeholders for requirements gathering. - Incorporate stakeholder requirements into the Operating Model redesign. - Provide frequent updates for stakeholders. - Demonstrate proficiency in statistical analysis and advanced SQL skills. - Create intuitive dashboards using data visualization tools. - Support data-driven decision-making with business intelligence tools. - Apply critical thinking to evaluate complex problems. - Coordinate with multiple consumer applications for deliverables. - Drive efficiency agenda and new product launches. Required Qualifications: - Bachelor's degree with substantial enterprise-level change experience. - Strong business analysis experience in cross-LOB roles. - Proficiency in data analysis and Oracle SQL skills. - Proven track record of executing against set milestones. - Effective relationship management and stakeholder influence skills. - Understanding of instrument reference data and end-to-end flows. - Effective communication skills tailored for different audiences. Preferred Qualifications: - Experience in project management. - Familiarity with data visualization tools like Tableau and Power BI. - Expertise in business intelligence tools and platforms. - Strong critical thinking skills and problem-solving abilities. - Ability to adapt messages for various agendas. - Support operational readiness for regulatory changes.,

We are looking for a detail-oriented and skilled Junior Data Analyst to join our dynamic team. Your role will be integral to the creation of Management Information (MI) Dashboards, driving intelligence and insights across our organization. The ideal candidate should have extensive experience in using Power BI and Microsoft Fabric, thriving in a demanding, data-led environment. You are expected to have a good understanding of Master Data Management & Data Science methodologies and apply them relevantly within the organization. You will be responsible for supporting the development of Management Information Dashboards by assisting in designing, developing, and maintaining interactive MI Dashboards using Power BI under guidance. Additionally, you will help in creating data models, basic DAX queries, and integrating data from various sources to support reporting needs. Your role will also involve supporting data analysis and reporting by identifying trends and insights from datasets that contribute to business decisions. You will use basic statistical techniques and tools to generate reports and dashboards, contributing to business intelligence initiatives and data-driven decision-making. Collaboration is key in this role as you will closely work with team members and stakeholders to understand data requirements, deliver data solutions, and enhance data literacy within the organization. You will also be involved in data preparation tasks using SQL, automating data extraction and transformation processes, and maintaining API connections for integrating data sources into dashboards and data systems. In your journey towards continuous learning and improvement, you will identify areas for personal and process enhancement, staying updated on data analysis techniques and BI tools to foster skills and drive innovation. You will also assist in following and improving data quality assurance processes to maintain accuracy and reliability of data used in reporting and analysis, performing data cleansing tasks, and monitoring data quality metrics. Furthermore, you will gain exposure to machine learning concepts, assist in statistical analyses, create data visualizations, and learn about big data technologies. Essential technical skills for this role include basic to intermediate proficiency in Power BI or similar BI tools, familiarity with SQL and APIs, data handling, data quality, and Excel skills including Pivot Tables and Power Query. If you are enthusiastic about data analysis, data quality management, and eager to learn and grow in a data-driven environment, this role presents an exciting opportunity to contribute to our organization's success.,

As a Senior Associate in Supplier Relationship Management (SRM) at EY, you will be part of the Supply Chain Services team within Global Procurement. Your role involves managing and analyzing spend data for top suppliers, ensuring accuracy and completeness while implementing data governance practices. By conducting thorough analysis of spend categories, identifying discrepancies, and using statistical methods to highlight trends, you will play a key role in driving value creation and fostering strong supplier relationships. Your responsibilities will include managing AP spend data, developing a structured Reseller Spend data framework, and building automated processes to enhance reporting efficiency. Collaborating with Supplier Managers and Relationship Managers, you will align reseller spend data with Original Equipment Manufacturer (OEM) data and provide actionable insights to stakeholders based on trends in spend analytics. To excel in this role, you must possess exceptional analytical skills, proficiency in data management using advanced Excel capabilities, and experience with data visualization tools such as Power BI. Strong communication skills, both verbal and written, are essential for presenting complex data clearly to diverse stakeholders. Your ability to thrive in a fast-paced environment, coupled with strong problem-solving abilities and attention to detail, will be crucial for success in this role. To qualify for this position, you should have a minimum of 5 to 6 years of overall experience, with at least 2 years in data analysis or analytics projects. Experience in statistical analysis, data visualization, and knowledge of supply chain processes and procurement analytics are also required. EY is committed to building a better working world by providing continuous learning opportunities, empowering individuals to define success on their terms, and fostering transformative leadership. In a diverse and inclusive culture, you will be valued for your unique perspective and empowered to make a meaningful impact. Join EY and contribute to shaping the future with confidence, while delivering exceptional client service and driving long-term value for clients, people, and communities.,

As a Business Analytics Analyst 2 in the Data Science and Modeling team of North America Consumer Bank at CITI, you will have the opportunity to work on a wide range of projects involving big data tools, machine learning, and AI techniques to unlock opportunities for clients and create economic value for the bank. You will be responsible for creating client-centric analytic solutions to business problems, owning and delivering complex analytic projects, staying up-to-date with the latest modeling community use cases, and sharing knowledge within the team. Additionally, you will need to have proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling, as well as strong communication skills to translate technical ideas to a broader audience. Your role will involve working with large and complex datasets using tools like Python, PySpark, SQL, and Hive to build deep learning and generative AI solutions. You will focus on model training, fine-tuning, validation, deployment, and governance related to multiple portfolios. Moreover, you will design, implement, and fine-tune Generative AI applications using techniques like prompt engineering and Retrieval Augmented Generation (RAG). Collaboration with team members and business partners to build model-driven solutions using cutting-edge Generative AI models will also be a key aspect of your responsibilities. You will need to ensure compliance of models with Citi standards, assess risks in business decisions, and drive adherence to applicable laws and regulations. To be successful in this role, you should have a Bachelor's degree with at least 3 years of experience in data analytics, a Master's degree with 2 years of experience, or a PhD. Technical skills required include hands-on experience in PySpark/Python/R programming, deep learning and generative AI applications, familiarity with tools like TensorFlow, PyTorch, and Hugging Face Transformers, and a strong background in statistical analysis. If you are a bright and talented individual looking to pursue a career in AI and Machine Learning with a focus on Generative AI, this role at CITI offers incredible opportunities for growth and development. Join us and be a part of a dynamic team that is at the forefront of innovation in the financial services industry.,

As a Data Analyst at Standard Chartered, you will play a crucial role in leveraging data to enhance customer experiences and facilitate informed business decisions. Your expertise in interpreting structured and unstructured data, coupled with business domain knowledge, will be instrumental in translating commercial objectives into data-driven solutions to tackle complex global challenges. The Digital Channels & Data Analytics (DCDA) team focuses on empowering corporate clients towards a more equitable, sustainable, and prosperous future through the strategic use of technology, data, and digital solutions. By collaborating closely with sales and coverage teams, you will become an expert in digital products and services to drive impactful outcomes. In the realm of Corporate & Investment Banking (CIB), Standard Chartered has a rich history of over 170 years in supporting clients with transaction banking, financial markets, corporate finance, and borrowing requirements. Your role will involve developing and executing data analytics strategies, deploying analytical models, and deriving actionable insights to drive business decisions. Key Responsibilities: - Support the development and execution of data analytics strategy - Develop and deploy analytical models for business insights - Translate business challenges into statistical problems - Utilize data analysis techniques like trend analysis and regression analysis - Employ analytical tools such as Azure, Python, and SQL for data analysis - Present key findings and business recommendations through data visualization - Foster analytics-driven decision-making processes - Build and automate data visualization dashboards using tools like Tableau and Power BI - Collaborate with stakeholders to optimize analytical tools Skills And Experience: - Proficiency in statistical analysis - Experience in agile project management - Knowledge of big data management and analytics - Understanding of data monetization and financial mathematics - Strong business acumen and familiarity with emerging technologies - Expertise in client experience, behaviors, and preferences - Understanding of financial services regulatory requirements - Knowledge of data governance and management As part of the Standard Chartered team, you will contribute to driving commerce and prosperity through diversity and inclusion. You will have access to a supportive work environment that values continuous learning, personal growth, and well-being. Join us in our mission to make a positive impact and be part of a bank that celebrates individual talents and fosters a culture of inclusion and respect.,

We are looking for a highly skilled and experienced Senior Tableau Developer to be a part of our expanding data visualization team. You should possess a deep expertise in Tableau Desktop and Server, along with a solid analytical mindset to develop engaging and insightful dashboards and visualizations that effectively present statistical data. Your role will be pivotal in converting intricate data into actionable insights for business stakeholders. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards and visualizations, integrating appropriate statistical displays. You will be required to connect to various data sources like databases, spreadsheets, and cloud platforms, perform data modeling and transformation within Tableau, and create complex calculations and fields for dynamic statistical analysis. Additionally, collaborating with business stakeholders to gather requirements and translating them into effective visualizations will be essential. You should be well-versed in selecting and implementing suitable statistical methods and visualizations within Tableau, providing training and support to end-users, and keeping abreast of the latest Tableau features and best practices. Contributing to the development of data visualization standards and guidelines, optimizing Tableau dashboards, troubleshooting Tableau-related issues, and mentoring junior developers will also be part of your role. Qualifications: - Bachelor's degree in Computer Science, Information Systems, Statistics, or related field. - 5+ years of experience in developing Tableau dashboards with a focus on statistical data representation. - Advanced proficiency in Tableau Desktop and Server, statistical functions, and chart types. - Strong understanding of statistical concepts, data warehousing, and relational databases. - Experience in data modeling, ETL processes, and excellent analytical skills. - Ability to effectively communicate technical concepts to non-technical audiences. - Experience with other data visualization tools like Power BI, Qlik Sense is a plus. - Tableau certification is preferred. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review Accessibility at Citi.,

At o9 Solutions, the mission is clear: to be the Most Valuable Platform (MVP) for enterprises through the AI-driven platform known as the o9 Digital Brain. By integrating global enterprises" siloed planning capabilities, o9 Solutions helps them capture significant value leakage, often amounting to millions or even billions of dollars. The impact of o9 Solutions extends beyond business benefits, as improved planning leads to reduced waste and better outcomes for the planet as well. We are seeking dedicated individuals to join us on this mission. You will be part of a nurturing environment where you can contribute to something truly extraordinary and make a tangible difference for companies and the environment. **What You'll Do for Us:** - Lead the complete lifecycle of projects, from design to deployment of o9's solutions for customers across various industries and geographies. - Translate business requirements into the o9 platform, creating a clear, achievable blueprint. Lead blueprinting sessions, document business requirements, design decisions, and data dependencies. - Collaborate with a team of experts to configure solutions that address deep operational and supply chain challenges and establish robust performance monitoring processes. - Assist customers in issue resolution, defect tracking, analysis, and resolution processes. - Provide valuable input for improving internal processes and product features based on customer feedback by collaborating with development and operations teams. - Support customer demonstrations and act as a mentor to junior team members. **What You'll Have:** - Minimum of 7 years of experience in implementing supply chain planning applications is essential. Proficiency in statistical, optimization, and simulation skills using tools like R, SAS, CPLEX, or similar is desirable. - Deep understanding of supply chain planning concepts, including Distribution Planning, Master Planning, and S&OP. Knowledge and training in databases (SQL Server, MySQL) and languages like SQL, MDX, T-SQL, or similar are advantageous. - Proficiency in Microsoft Excel/PowerPoint for analysis and presentation purposes. - Experience in deploying planning solutions concerning business requirement determination, solution and process design decisions, best practices, and value delivery. - Familiarity with agile methodology for delivering large-scale enterprise implementations. - Ability to collaborate effectively with cross-functional teams distributed across locations and time zones. - Education: Masters Degree in Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering). **What We'll Do for You:** - Offer a competitive salary with stock options for eligible candidates. - Operate with a flat organizational structure that fosters an entrepreneurial culture without corporate politics. - Provide a dynamic and enjoyable work environment with great colleagues. - Offer the opportunity to make a significant impact in a scale-up environment. - Allow for onsite travel during specific project phases. - Support network for continuous learning within a diverse, international working environment. - Promote work-life balance and a sense of belonging to a team. To apply, click on the button below. Our recruiter will reach out to provide more information about o9 Solutions and the role, and understand your preferences via video or phone call. The interview phase involves meeting with technical panels for 60 minutes, followed by 2 rounds of technical discussions and a Hiring Manager discussion. Good luck!,

The Risk division at Goldman Sachs is responsible for managing credit, market, operational, model, liquidity, and insurance risks across the firm. Within the Risk Division, Risk Engineering (RE) plays a crucial role in providing robust metrics, data-driven insights, and effective technologies for risk management. With offices globally, including locations such as Dallas, New York, London, and Singapore, RE focuses on developing quantitative models and scalable architecture. As part of the Liquidity Risk Strats team, you will utilize your engineering and mathematical background to identify, measure, and implement risk modeling solutions. Successful Strats in this role are highly analytical, driven to achieve commercial outcomes, and adept at communicating complex concepts with precision. Your responsibilities will include developing, implementing, and maintaining quantitative measures of liquidity risk using advanced mathematical and statistical approaches. You will also collaborate with various business partners to quantify the firm's liquidity risk and monitor risk measures in different areas such as prime brokerage and repo trading. Key Responsibilities: - Develop and maintain quantitative measures of liquidity risk - Conduct quantitative analysis on various financial instruments - Quantify and monitor risk measures in different areas across the firm - Collaborate with revenue generating functions and corporate treasury to meet liquidity regulatory requirements - Communicate complex mathematical concepts with internal and external stakeholders - Update and maintain risk models to adapt to business growth and changes in the risk environment - Develop and maintain large-scale risk infrastructures/systems in compiled or scripting languages Qualifications: - Advanced degree in Mathematics, Physics, Engineering, or a related quantitative discipline - Strong programming experience in languages such as C, C++, Java, or Python - Excellent written and verbal communication skills for non-technical audiences - Strong analytical and problem-solving skills using math, statistics, and programming - Ability to learn new technologies and apply them effectively - Familiarity with financial markets and liquidity risk management practices is a plus Goldman Sachs is a global investment banking, securities, and investment management firm committed to diversity, inclusion, and professional growth. If you require accommodations during the recruiting process due to special needs or disabilities, we are committed to finding reasonable solutions. Learn more about our culture, benefits, and opportunities for personal and professional development at GS.com/careers.,

We are looking for a highly skilled and experienced Senior Quality Engineer AVP to join our team and play a crucial role in ensuring that our products maintain the highest standards of quality and reliability. The ideal candidate should possess a strong understanding of quality engineering principles, a dedication to continuous improvement, and the ability to guide and mentor junior engineers. As the Senior Quality Engineer AVP, you will be tasked with developing and executing quality assurance policies, conducting audits, and fostering performance enhancements across various departments. This position calls for a strategic thinker with exceptional leadership qualities, outstanding communication abilities, and a meticulous attention to detail. If you are enthusiastic about quality and innovation and aspire to make a significant difference in a dynamic setting, we are eager to have you on board. Responsibilities Develop, implement, and uphold quality assurance protocols that align with industry benchmarks. Lead initiatives for enhancing quality across departments to boost efficiency and performance. Conduct thorough audits to ensure compliance with corporate and regulatory norms. Collaborate with cross-functional teams to pinpoint and address quality risks effectively. Provide guidance and mentorship to junior quality engineering personnel on best practices and methodologies. Analyze quality metrics to derive actionable insights for process improvements. Lead root cause analysis for product failures and execute corrective measures. Prepare training materials and organize quality workshops for staff development. Review and draft technical documentation to ensure accuracy and completeness. Stay abreast of the latest trends and technologies in quality engineering. Conduct regular meetings with stakeholders to communicate quality standards and updates. Ensure that all quality engineering activities adhere to statutory and regulatory prerequisites. Requirements Possess a Bachelor's degree in Engineering, Quality Management, or a related field. Have a minimum of 8 years of experience in quality engineering or a related domain. Demonstrate proven leadership skills with the ability to oversee cross-functional teams. Exhibit strong analytical capabilities and proficiency in quality management software tools. Possess excellent verbal and written communication and presentation skills. Show advanced knowledge of quality assurance methodologies and standards. Hold certification in Quality Engineering (e.g., CQE), which is highly preferred. Have experience in statistical analysis and quality improvement techniques. Be adept at managing multiple projects and meeting deadlines effectively. Display strong problem-solving skills and a detail-oriented approach to tasks.,

As a Production Manager in the Chemical/Pharma industry, you will be responsible for developing and implementing quality control procedures to ensure high-quality products. You will manage manpower effectively to meet productivity targets and implement Total Quality Management (TQM) principles to enhance plant performance. Your role will involve creating and executing production plans based on business and market demands, as well as overseeing the management of human and material resources to achieve production targets and quality standards. You will coordinate and supervise staff activities, review performance, and take corrective actions when necessary. Compliance with safety, health, and environmental standards will be a key focus, along with assessing and improving operational systems, processes, and policies to support the organization's mission. It will be essential to maintain relationships with key stakeholders, including suppliers and customers, and prepare production reports and personnel records. Your responsibilities will also include overseeing the maintenance, repair, and replacement of plant equipment to minimize downtime and maximize productivity. Monitoring production, resolving issues promptly, and implementing cost control measures will be crucial aspects of your role. Utilizing SAP software for production planning and inventory management, adapting resource allocation based on production schedules, and ensuring timely production of high-quality products will be part of your daily tasks. Additionally, you will work on enhancing employee engagement and fostering a high-performing team. Basic requirements for this role include a B.E./B.Tech. degree in Chemical Engineering, a minimum of 15-20 years of experience in the Chemical/Pharma industry, and proficiency in SAP MM module and MS Office. Strong knowledge of factory operations, production planning, scheduling, and inventory control is necessary. You should have a proven track record of implementing Kaizen initiatives, in-depth knowledge of manufacturing and production processes, and excellent interpersonal, communication, leadership, and problem-solving skills. Team building, decision-making, and people management skills are essential, along with the ability to handle high-pressure situations efficiently. Certifications such as Certified Production and Inventory Management (CPIM) or Certified in Production and Operations Management (CPOM) are highly valued. A strong understanding of Manufacturing Software, Statistical Method and Data Analysis, and Quality Assurance Protocols will also be beneficial for this role. The job location for this position is Vapi, Gujarat.,

The Bharti Institute of Public Policy (BIPP) is looking for a dedicated Research Assistant to join their team in Mohali. As a Research Assistant, you will have the opportunity to work alongside experienced researchers on projects that address contemporary public policy challenges. This role is ideal for individuals who are passionate about policy research and analysis and are eager to gain hands-on experience in a dynamic and collaborative environment. The main responsibilities of the Research Assistant include supporting students in developing capstone projects, assisting in the publication of policy papers, reports, and research blogs, conducting data analysis, and providing administrative support. The successful candidate will work closely with faculty members and students to ensure the successful completion of projects and initiatives. Key activities of the Research Assistant will involve: - Supporting students in developing capstone projects by providing feedback, guiding them on research methodology, and ensuring timely project progress tracking. - Assisting in the publication of various research materials by refining content, conducting fact-checking, and formatting documents according to academic standards. - Contributing to research projects by conducting literature reviews, synthesizing findings, and utilizing analytical tools to examine policy-related datasets. - Providing administrative support by organizing meetings, managing project timelines, and facilitating effective communication between stakeholders. The ideal candidate for this position should have a Bachelor's degree (Master's degree preferred) with a strong academic record. Specific skills required include analytical and research skills, proficiency in MS Office, and excellent writing and communication abilities. Experience in report writing and creating presentations is desirable. If you are a proactive individual with a passion for public policy research and a keen eye for detail, we encourage you to apply for the Research Assistant position at BIPP in Mohali. To apply for this position, please fill out the JotForm available on the Indian School of Business website. For more information, you can contact the ISB Mohali Campus at the provided address and contact details.,

You will be part of FalconX, a team dedicated to transforming institutional access to the crypto markets by combining traditional finance with cutting-edge technology. Your role involves monitoring market risk associated with FalconX's automated trading strategies, periodically hedging risk, and ensuring the health of these strategies. You will collaborate with various teams within FalconX to address issues, coordinate system maintenance, and track strategy system performance metrics. Additionally, you will provide daily reports to the team on various performance metrics and focus areas. To excel in this role, you should have familiarity with markets, listed exchanges, and basic risk-management concepts. An understanding of statistics, the ability to organize and analyze data independently, and proficiency in tools like Google Sheets/Excel are essential. Knowledge of Python, SQL-syntax, trading experience, and familiarity with crypto exchanges are advantageous. An interest in crypto markets/algorithmic trading, exposure to statistical analysis, and machine learning tools will be beneficial. Strong communication skills, attention to detail, and a team-oriented mindset are crucial for success in this role. FalconX is committed to creating a diverse, inclusive, equitable, and safe workspace for all individuals. We encourage applications from candidates of all backgrounds, regardless of whether they possess every listed requirement or experience. If you are based in California, please review our Notice at Collection and Privacy Policy. Applicants with disabilities may request reasonable accommodations to ensure equal employment opportunities. If you require assistance during the application process, please contact FalconX's People team at recruiting@falconx.io.,