603 Statistical Analysis Jobs - Page 5

The role involves performing competitive market research, creating excel-driven quantitative models and business assumptions, and utilizing quantitative and qualitative market research. Secondary research is conducted to identify data points such as production and consumption of product commodities. Primary research is undertaken to generate insights into current market trends and forecasting with key opinion leaders. Data analytics techniques are used for trend analysis, data validation, and triangulation. Various sources and technologies are utilized to create high-quality prospect contact lists for integrated marketing campaigns. Company profiling involves analyzing market share, product portfolio, new launches, product recalls, and mergers & acquisitions. Data collected from primary, secondary sources, and databases is collected and analyzed to track marketing and sales trends, estimate market size, and forecast market trends. Reports of findings are prepared, illustrating data graphically and translating complex findings into written text. Additionally, the role may involve performing any other reasonable duties required by management from time to time.,

As the General Manager at Godrej Agrovet Limited, you will play a crucial role in overseeing all operations within the pet care food manufacturing facility located in Chandwad, Nashik. Your responsibilities will include ensuring efficient production processes, maintaining high-quality standards, managing staff, and adhering to regulatory compliance. You will be responsible for operational management by overseeing daily plant operations with a focus on productivity, safety, and efficiency. Additionally, you will lead the production planning process to ensure alignment with marketing and sales requirements. It will be your duty to ensure all products meet internal quality benchmarks and regulatory standards by maintaining strict control of process parameters. Cost control initiatives will be under your purview to manage and control production costs, material yields, and utility consumption. You will also oversee the maintenance and spares management of both process and utility equipment. Driving improvements in process efficiency, Overall Equipment Effectiveness (OEE), and capacity utilization will be crucial, along with implementing good manufacturing practices and green initiatives. Maintaining an amicable industrial relations (IR) environment with proactive engagement and conflict resolution will be essential. Ensuring complete statutory compliance with respect to plant operations and coordinating with HR and legal teams for the same will also be part of your responsibilities. Safety of people, products, and machinery will be a priority, and you will be fostering a culture of safety across the plant. Coordination with HR for manpower planning, recruitment, and training to ensure plant staffing needs are met efficiently will be required. Proper store management and optimization of inventory levels of raw materials, packaging, and spares will fall under your supervision. You will be expected to maintain relationships and coordinate with statutory and local bodies for plant-related operations. Supervising the installation of new machinery and coordinating for the safe and compliant disposal of scrap and obsolete equipment will also be part of your role. Collaborating closely with R&D, QA, SCM, and marketing to support innovation, quality, and timely delivery of products will be crucial for success in this position. To qualify for this role, you should have a Bachelor's Degree in Food Technology, Engineering (Mechanical/Electrical), with a Master's degree preferred. You should possess 12+ years of experience in Manufacturing, Operations, and Supply chain, with 6-8 years of experience in Food Processing or Aqua Feed Manufacturing, and a minimum of 4 years in Pet Food at a Senior Position preferred. Key skills required for this role include a strong understanding of pet nutrition, ingredient functionality, and food safety regulations, proficiency in statistical analysis and data interpretation, excellent communication and teamwork skills, strong problem-solving abilities, and attention to detail. At Godrej, diversity is a core value, and we are committed to creating an inclusive environment where all team members are valued and respected. If you are passionate about pet care, have a background in food production, and possess leadership skills, we encourage you to apply for this exciting opportunity. We look forward to meeting you and welcoming you to our team at Godrej Agrovet Limited.,

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

As a Junior Data Analyst at GlobeWick, an award-winning marketing agency based in Jaipur, you will be responsible for collecting data, conducting statistical analysis, and creating data visualizations to present findings. Your role will involve using SQL, Python, and Excel for data analysis while applying critical thinking and problem-solving skills to interpret data effectively. With 1 to 3 years of experience, this full-time position in Sonipat offers a salary range commensurate with your expertise in statistical analysis, data visualization, SQL, Python, Excel, critical thinking, problem-solving, and data interpretation. Join our team of 11-50 employees and contribute to our 360-degree digital marketing services including SEO, Google and Facebook Ads, and social media marketing.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy, and that hasn't happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. The People Analytics team's mission is to empower a data-driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy. The People Analytics team integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs. They use analytics expertise to test, measure, analyze, understand, and answer various business questions. The team provides reporting to help inform on the current state of the business and help facilitate processes at scale. They connect understanding across business and HR to deliver data-driven products and solutions, providing meaningful insights and recommendations. About the role: Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight. Analysts work within an agile environment, which requires active participation in ceremonies to accomplish the team's goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting data lineage. Key Responsibilities: - Actively explore data for specific use cases. - Develop expertise in business domain and processes. - Create measurable insights from the data to be shared. - Develop metrics, measurement strategy, reports, and statistics. - Document calculations, code, and adhere to data management principles. - Validate and test data assets of others in the form of peer review. - Explore statistical analysis that could be applied to the data. - Perform descriptive statistics including mean, variance, median, correlation. - Apply insights and testing in partnership with business users. - Be an active participant in team meetings. - Lead agile ceremonies. - Ability to work independently to turn business problems into data solutions. - Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance. Qualifications: - BA/BS or equivalent experience. - 9+ years" work experience in data analysis or master's level education in business analytics, data science, etc. - Demonstrated leader in knowledge and application of data, reporting, and analytics. - Proficient with various programming languages - SQL, R, Python. - Proficient with relational and non-relational databases. - Strong domain-specific knowledge in Human Resources data and processes. - Prior experience in human resources or talent/people analytics industry. - Strong mathematical and statistical skills. - Excellent communication skills with the ability to speak to both business and technical teams. - Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models, and analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, and/or equivalent technologies.,

Join an industry leader and make a positive change in the sustainable use of the world's natural resources. Together, we will transform the business and drive the industry toward a greener future. At Metso, you will be supported by our inclusive culture and a network of colleagues from around the world, embarking on a personal growth journey and encouraged to realize your potential. This is your invitation to rise above the possible. We are seeking an AM - HR to join our HR Team located in Metso Ahmedabad Foundry (Odhav GIDC). You will be responsible for end-to-end HR Operations, playing a crucial role in people processes that positively impact the organization. You will join a passionate MEI HR Team, working closely with internal and external stakeholders such as Operation Head, Functional Heads of various processes. Our team culture is rooted in Metso Values, with team members located in Gurugram, Alwar, Vadodara, Kolkata, Dubai, and Riyadh. **Responsibilities:** - Promote HR programs to create an efficient and conflict-free workplace. - Establish and maintain constructive relationships with all stakeholders. - Stay well-versed in industrial/employment law and ensure compliance with relevant provisions. - Monitor labor relations trends and suggest best employee engagement practices. - Address employees" grievances to ensure a smooth work culture and discipline. - Oversee staffing, retention, engagement, wellbeing, etc., working closely with business leaders. - Support a performance-driven culture by implementing various programs. - Build connections with colleagues across multiple locations to meet objectives. - Analyze statistical and management reports and take measures for improvement. - Contribute to the team effort by accomplishing related tasks and performing other HR duties as assigned. **Requirements:** - Degree in HR/IR from a reputable institute, law degree preferred. - 8-10 years of experience in an independent HR role such as HRBP, HR Manager, HR Specialist, etc. - Strong analytical and problem-solving skills. - Excellent written, verbal, and interpersonal communication skills. - Digital literacy including HR tools and people analytics. - Ability to multitask and manage responsibilities across multiple locations. - Ability to lead, influence, and drive priorities with senior management. **Benefits:** - Wellbeing and safety benefits. - Annual bonus programs tied to business and performance targets. - Extensive learning opportunities with growth dialogues, mentoring programs, and global opportunities. - Worldwide support through a network of peers across the world. - A thriving culture committed to inclusivity and sustainability. Join Metso, a frontrunner in sustainable technologies, end-to-end solutions, and services for the aggregates, minerals processing, and metals refining industries globally. Be a part of a company that improves energy and water efficiency, increases productivity, and reduces environmental risks for a sustainable future.,

As a Machine Learning/AI Engineer, your primary role will involve designing, developing, and implementing machine learning models and AI solutions using Python. You will collaborate closely with various teams to comprehend business requirements, pinpoint opportunities for leveraging machine learning and AI technologies, and create solutions to tackle complex challenges. Working with extensive datasets, you will apply statistical analysis and machine learning techniques to extract valuable insights and construct scalable and robust algorithms. Your key responsibilities will encompass understanding business problems in collaboration with stakeholders, collecting and preprocessing large datasets from diverse sources, developing machine learning models and AI algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, or similar, engineering features from raw data to enhance model performance and interpretability, training, validating, and fine-tuning machine learning models utilizing appropriate evaluation metrics and validation techniques, deploying machine learning models into production environments with a focus on scalability, reliability, and performance, monitoring model performance in production, conducting periodic model retraining, and addressing any arising issues, documenting code, algorithms, and processes to facilitate knowledge sharing and maintainability, staying informed about the latest advancements in machine learning and AI research, and exploring innovative solutions to enhance existing systems. Ideally, you should possess over 3 years of demonstrated experience in developing and deploying machine learning models and AI solutions using Python, with a preference for familiarity with deep learning frameworks. Proficiency in Python programming and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy is expected. A strong grasp of statistical concepts, linear algebra, calculus, and probability theory is essential. Furthermore, effective problem-solving skills, excellent communication abilities to interact with cross-functional teams and stakeholders, meticulous attention to detail in data analysis and model development, and a willingness to adapt to new technologies and changing project requirements are highly valued. Exposure to NetSuite cloud ERP/Platform is considered an added advantage. This is a full-time position offering health insurance and leave encashment benefits. The work schedule involves fixed shifts from Monday to Friday. Applicants are required to have a minimum of 3 years of experience in deep learning and be located in Hyderabad, Telangana, with work being conducted in person.,

As a Territory Manager-SPR at Bayer, your main responsibility will be to plan, execute, and conduct Parent Testing & Production Research trials in target locations as per business plans. You will play a crucial role in delivering high-quality trial results through meticulous planning, agronomy practices, accurate data collection, and analyzing the data. Working closely with local production teams, growers, and stakeholders, you will focus on achieving desired outcomes and outputs. Your tasks and responsibilities will include ensuring field safety, vehicle safety, and compliance with company norms while conducting trials. You will co-create and execute trial designs in alignment with regional plans, coordinate the execution of high-quality trials, and create value for stakeholders through the adoption of new technologies and operational excellence. Collaboration with internal teams and growers, maintaining data accuracy and integrity, and ensuring compliance in regulated trials will also be key aspects of your role. You will be required to interface with core functions of RC production and plant operations, work closely with growers and production teams, and engage in knowledge sharing activities with peers. As an ideal candidate, you should hold an M. Sc. or Ph.D. in Agriculture with 1-3 years of experience in similar fields, possess a strong foundation in Agricultural Sciences, and have knowledge of Seed Production, Pest, and Disease Management. Proficiency in statistical analysis, experimentation techniques, analytical skills, data science, and computer skills will also be expected. At Bayer, we are committed to fostering a dynamic work environment that encourages higher productivity, faster innovation, and better results through Dynamic Shared Ownership (DSO). To learn more about DSO and its impact on your role, visit https://www.bayer.com/en/strategy/strategy. To apply for this position, please ensure that you are submitting your application through the official Bayer channels and avoid unsolicited emails or job advertisements that do not end with the domain name bayer.com. Location: India : Telangana : Sattupalli Division: Crop Science Reference Code: 829837 For further inquiries, please contact us at 022-25311234.,

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

TE Connectivity's Business Intelligence Teams are responsible for the processing, mining, and delivery of data to their customer community through repositories, tools, and services. You will be tasked with collecting and analyzing large datasets to identify patterns, trends, and insights that will inform business strategies and decision-making processes for customer supply chain. Additionally, you will develop and maintain reports, dashboards, and other tools to monitor and track supply chain performance. You will also assist in the development and implementation of supply chain strategies that align with business objectives and identify solutions to potential supply chain risks and challenges. Moreover, your responsibilities will include building data models, performing data mining to discover new opportunities and areas of improvement, conducting data quality checks, and developing predictive and prescriptive data models to support forecasting and optimization efforts. You will present your findings to stakeholders in a clear and concise manner and deliver core and ad hoc analysis along with first-level interpretation to provide insights and support decision-making to Account Managers, Sub-vertical Leads, and other cross-functional teams. Furthermore, you will generate and maintain business decision-specific reports, dashboards, and analytical solutions using multiple AI/BI tools, Business Objects, SAP, SQL Server, and other sources. You should have the ability to translate complex analytical concepts into clear, business-friendly language and be willing to work with stakeholders across different time zones globally. Flexibility to work across different time zones is essential to ensure seamless communication and collaboration with stakeholders. The ideal candidate will have a Bachelor's or Master's degree in supply chain management, Data Science, Statistics, Mathematics, business analytics, or a related field, along with a minimum of 2+ years of work experience in a related role. You should have proven experience in data analysis, business intelligence, or supply chain analytics and proficiency in statistical analysis tools like Advanced Excel and data visualization tools such as Tableau or Power BI. Knowledge of Data Engineering tools and strong understanding of supply chain management concepts are also required. TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS.TE Connectivity offers a competitive salary package, performance-based bonus plans, health and wellness incentives, an employee stock purchase program, community outreach programs, and employee resource groups to support the well-being of its employees.,

As an Analytics Consultant at Wells Fargo, you will have the opportunity to consult with business lines and enterprise functions on less complex research projects. Your role will involve utilizing your functional knowledge to assist in developing non-model quantitative tools that support strategic decision-making. You will be responsible for analyzing findings and trends using statistical analysis and documenting processes. In this position, you will play a key role in presenting recommendations aimed at increasing revenue, reducing expenses, maximizing operational efficiency, improving quality, and ensuring compliance. Your tasks will also include identifying and defining business requirements, translating data and business needs into research, and making recommendations to enhance efficiency. Additionally, you will participate in various group technology efforts, including the design and implementation of database structures, analytics software, storage, and processing. You will be involved in developing customized reports and ad hoc analyses to provide guidance to less experienced staff members. To excel in this role, you should have at least 2 years of Analytics experience or equivalent demonstrated through work experience, training, military service, or education. Knowledge of Conduct Management data, Tableau/PowerBI Reporting tools, SQL, Teradata, testing, quality assurance, SDLC, test automation using Python, and Agile methodology would be beneficial. Strong analytical skills with a high attention to detail and accuracy are essential for this position. You should also possess excellent presentation, communication, writing, and interpersonal skills. Experience in onshore/offshore support models, leveraging Jira tools for workflow and productivity management, and familiarity with ISTQB Certification are desirable qualifications. In summary, as an Analytics Consultant at Wells Fargo, you will play a critical role in conducting detailed analysis, providing recommendations for business improvement, ensuring compliance with regulations and policies, and collaborating with cross-functional teams to drive strategic goals and initiatives. Please note that the job posting may be closed early due to a high volume of applicants. Wells Fargo values diversity and encourages applications from all qualified candidates, including women, persons with disabilities, Aboriginal peoples, and visible minorities. Accommodations for applicants with disabilities are available upon request during the recruitment process. Candidates applying for job openings in Canada are encouraged to apply, and accommodations for applicants with disabilities are available upon request in connection with the recruitment process. If you require a medical accommodation during the application or interview process, please visit Disability Inclusion at Wells Fargo. Wells Fargo maintains a drug-free workplace, and third-party recordings are prohibited unless authorized by the company. Candidates are required to represent their own experiences directly during the recruiting and hiring process. Reference Number: R-405673,

As a Process Executive - Voice in the US shift, you will play a crucial role in collecting, analyzing, and interpreting data pertaining to global markets, industries, and competitors. Your insights will be instrumental in facilitating well-informed business decisions and strategies. To excel in this role, you should hold a Bachelor's degree in Business, Marketing, Economics, or a related field, with a Master's degree considered a bonus. Previous experience in market research, data analysis, or a comparable domain is highly desirable. Proficiency in utilizing statistical analysis tools and software is essential, as is a deep understanding of research methodologies and data collection techniques. Your strong analytical and problem-solving abilities will be key assets in this position. Effective communication and presentation skills are crucial for conveying your findings and recommendations clearly. It is important to note that the job requires working night shifts from 7 pm to 4 am. Freshers are welcome to apply for this full-time position. If you are someone with a year of relevant work experience, this opportunity could be particularly suited to you. The work location is in person, providing a dynamic environment for your professional growth.,

Apply Digital is a global digital transformation partner for change agents. Leveraging expertise that spans Business Transformation Strategy, Product Design & Development, Commerce, Platform Engineering, Data Intelligence, Marketing Services, Change Management, and beyond, we enable our clients to modernize their organizations and deliver meaningful impact to their business and customers. Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group. Apply Digital was founded in 2016 in Vancouver, Canada, and has grown to nine cities across North America, South America, the UK, and Europe. At Apply Digital, the One Team approach is believed in, where operations are within a pod structure. Each pod combines senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. The structure is supported by well-organized scrum and sprint cadences, ensuring teams release often and hold retrospectives to progress towards desired outcomes. Wherever Apply Digital operates globally, it envisions a safe, empowered, respectful, and fun community for its people every single day. The organization works to embody its SHAPE values (smart, humble, active, positive, and excellent) to create a space for the team to connect, grow, and support each other to make a difference. Apply Digital is a hybrid-friendly organization with remote options available if needed. The preferred candidate for the Analytics Implementation Consultant role should be based in or within a location commutable to the Delhi/NCR region of India, working in hours that overlap with the Eastern Standard Timezone (EST). In the initial role, the Analytics Implementation Consultant will support Kraft Heinz, a global leader in consumer packaged foods. Apply Digital aims to drive Kraft Heinz's digital transformation through implementable strategies, cutting-edge technology, and data-driven innovation to enhance consumer engagement and maximize business value. The role involves designing, implementing, and maintaining digital analytics solutions in collaboration with developers, data engineers, and product teams to ensure scalable and reliable data collection. Expertise in digital analytics platforms, tag management systems, JavaScript, SQL, and data layers is required, along with strong English language proficiency and experience working with remote teams. Responsibilities of the Analytics Implementation Consultant include supporting the development and implementation of robust analytics systems, collaborating with analysts and stakeholders to translate business problems into analytics solutions, QA testing data capture and reports, supporting the creation of presentations and recommendations, staying updated on technical trends and best practices, and contributing to the direction of the Data & Analytics Discipline. The ideal candidate for this role should have a strong proficiency in English, experience working with remote teams, 5+ years of analytics implementation experience, expertise with analytics platforms and tag management systems, front-end web development skills, experience with customer data platforms and mobile app analytics, understanding of statistical analysis and machine learning concepts, familiarity with data modeling and architecture principles, and the ability to manage multiple projects concurrently. A bachelor's degree in Computer Science, Data Science, Analytics, or Engineering is required. Experience with optimization tools is a plus. Apply Digital offers a hybrid-friendly work environment, comprehensive benefits including healthcare coverage and contributions to Provident fund, a gratuity bonus after five years of service, flexible PTO, engaging projects with international brands, an inclusive and safe workplace, generous training budgets, and a commitment to diversity, equity, and inclusion. Apply Digital values equal opportunity and nurtures an inclusive workplace where individual differences are recognized and celebrated. For more information, visit Apply Digital's Diversity, Equity, and Inclusion (DEI) page. Special needs or accommodations during the recruitment process can be requested by emailing india.careers@applydigital.com.,

Coupa makes companies operate smarter and grow faster. The leading AI-driven platform of Coupa connects and optimizes sourcing, purchasing, supply chains, and financial management. More than 3,000 global organizations large and small trust Coupa to transform operating margins, increase efficiencies and growth, optimize cash, and reduce risk. You will be responsible for ensuring the quality and reliability of data used in ML/AI and Generative AI products. This involves performing thorough Data Analysis, evaluating Data Quality, testing Machine Learning Models & Visualizations, outlier detection, and using statistical methods to define and monitor valid data ranges. Additionally, you will collaborate with data scientists, engineers, and product managers to understand the data needs and requirements of different AI applications. Your role will also involve developing an automation strategy to create automated tests that validate large data sets across products in Coupa. You will design, implement, and maintain data validation frameworks and data quality monitoring systems. Working closely with Scrum team members, you will clarify requirements, ensure testability and automatability, and provide feedback on design in both functional and technical aspects. To succeed in this role, you should bring experience in writing complex queries on large customer data sets, familiarity with ML/AI and Generative AI techniques, frameworks, and associated toolchains, understanding of statistical analysis, and proficiency in working with APIs & API automation. Strong communication skills and the ability to drive collaboration across teams are essential, along with experience in Agile development processes and working with offshore teams. It would be beneficial if you also possess a Bachelor's degree in CS, Economics, Statistics, or Mathematics with 3-5 years of experience in Data Testing. Knowledge in Predictive Analytics, machine learning trade-offs, and model evaluation is desirable. Strong scripting experience with Python, SQL, and tools for data analysis and manipulation would be an added advantage. At Coupa, the core values focus on ensuring customer success, delivering results through innovation, and striving for excellence in a collaborative environment. The company emphasizes professionalism, integrity, passion, and accountability in all endeavors. Please note that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that Coupa receives and collects your application, including personal data, for managing ongoing recruitment and placement activities, including employment purposes. More details about the processing of your application and retention policies can be found in Coupa's Privacy Policy.,

As a Senior Research Associate at Vilvah, a dynamic Direct-to-Consumer Ecommerce brand specializing in sustainable skincare and hair care products, your role will involve contributing to the formulation and development of new skincare products while enhancing existing formulations. You will engage in hands-on lab work, data analysis, and team collaboration to ensure safe, compliant, and market-aligned products. Your responsibilities will include leading the development of innovative skincare formulations, conducting product testing for stability and safety, researching active ingredients and new technologies, analyzing data, collaborating with cross-functional teams, ensuring regulatory compliance, and optimizing R&D processes. To excel in this role, you should hold a Bachelors or Masters degree in Chemistry, Cosmetic Science, Chemical Engineering, or a related field, with 4-5 years of experience in formulation development, preferably in skincare or cosmetics. A strong understanding of skin biology, proficiency in laboratory techniques, knowledge of regulatory requirements, and excellent data analysis and communication skills are essential. Preferred skills include experience with natural skincare products, familiarity with product claims substantiation and clinical trials, proficiency in formulation software, and knowledge of sustainability practices. Join Vilvah for opportunities for growth, a collaborative and innovative work environment, and the chance to be part of a company that values sustainability and consumer well-being.,

Qualifacts is a leading provider of behavioral health software and SaaS solutions for clinical productivity, compliance, state reporting, billing, and business intelligence. Our mission is to be an innovative and trusted technology and end-to-end solutions partner, enabling exceptional outcomes for our customers and those they serve. With a comprehensive portfolio spanning the entire behavioral health, rehabilitative, and human services market, Qualifacts supports non-profit Certified Community Behavioral Health Clinics (CCBHC) as well as for-profit large enterprise and small business providers. We have a loyal customer base of more than 2,500 customers representing 75,000 providers serving over 6 million patients. Qualifacts has been recognized in the 2022 and 2023 Best in KLAS: Software and Services report as having the top-ranked Behavioral Health EHR solutions. If you are seeking to work in an atmosphere where innovation is purpose-driven and your ambition contributes to supporting our customers and those they serve, we invite you to apply today! This is an onsite position, 5 days a week, at the Vadodara office working the NIGHT SHIFT from 6:30pm to 3:30am IST. Remote applicants will not be considered. The Business Process Project Manager is responsible for analyzing, optimizing, and streamlining operational processes, overseeing the implementation of internal business applications, and new/improved business processes. This role involves collaborating with cross-functional teams to design and implement improved workflows, leveraging data analytics for continuous improvement, and managing projects involving third-party applications and external vendors. The successful candidate will ensure timely delivery, vendor accountability, and effective coordination with internal resources, facilitating smooth transitions and adoption of new systems and processes. Responsibilities: - Conduct in-depth analysis of existing operations to identify bottlenecks and areas for improvement - Utilize data analytics tools to measure KPIs and identify trends for operational efficiency - Map out complex business processes using process modeling tools to visualize workflows - Identify opportunities for task automation using existing tools or integration with third-party applications - Develop comprehensive project plans, maintain documentation, and ensure projects are delivered on time and within budget - Coordinate with internal teams to ensure alignment and collaboration - Lead and motivate project teams to ensure successful project delivery Qualifications: - Bachelor's degree in Business Administration, Management, Information Systems, Information Technology, or related field; experience may be considered in lieu of a degree - Minimum 5 years of experience in Business/Process Analysis or Project Management - Familiarity with business software and statistical analysis - Certification in BPM, Lean, Six Sigma, Agile, or PMP is preferred - Experience in healthcare or technology industry is preferred - Proficiency in process modeling tools, project management software, and excellent communication skills Qualifacts is an equal opportunity employer dedicated to fostering diversity and creating an inclusive environment for all employees.,

The Analyst position at DINBAZAR F.L. OFF SHOP & COMPANY PRIVATE LIMITED in Jalpaiguri is a full-time on-site role. As an Analyst, you will be tasked with conducting day-to-day data analysis, preparing reports, and offering insights to facilitate decision-making processes within the company. To excel in this role, you must possess strong skills in Data Analysis, Report Preparation, and Insights Generation. Proficiency in data visualization tools is essential, along with a knack for utilizing statistical analysis software. Your analytical and problem-solving abilities will play a crucial role in this position, requiring attention to detail and accuracy in all tasks. Ideally, you should hold a Bachelor's degree in Mathematics, Statistics, Economics, or a related field. While not mandatory, experience in retail or sales analysis would be considered advantageous for this role at DINBAZAR F.L. OFF SHOP & COMPANY PRIVATE LIMITED.,

In this role, you will lead a team of CRO specialists and creative designers to deliver CRO projects for customers on time and with requisite quality. You will become a mentor for your team members and actively take part in the growth of the team members. Additionally, you will follow and improve upon the established work processes while identifying new business opportunity areas to generate more revenue from CRO-related projects. Your technical skills will encompass various aspects necessary for successful CRO project management. You should have expertise in developing hypotheses, designing tests, and utilizing frameworks like the Growth Hacking Funnel, PIE (Potential, Importance, Ease), or ICE (Impact, Confidence, Ease) scoring model to prioritize experiments. Basic knowledge of conversion-focused copywriting will be essential to identify messaging improvements that can enhance user engagement and drive conversions. Proficiency in tools such as Google Analytics, Adobe Analytics, and Hotjar for analyzing user behavior, traffic patterns, and conversion metrics is required. You should also have expertise in A/B testing tools like Optimizely, VWO, Google Optimize, or Convert to design, implement, and analyze A/B tests, multivariate tests, and split tests. A strong understanding of statistical concepts such as significance, confidence intervals, regression analysis, and hypothesis testing will be crucial for data analysis. Having a deep understanding of UX/UI principles, user behavior, and interaction design will help you identify conversion bottlenecks. Skills in wireframing and prototyping tools like Sketch, Figma, Adobe XD, or Balsamiq will be needed to create mockups, wireframes, and prototypes for proposed changes. Additionally, the ability to conduct usability tests, heuristic evaluations, and user research to gather qualitative insights is essential. Understanding web performance factors such as load time, responsiveness, and interactivity that can impact conversions will be beneficial. Knowledge of tag management systems like Google Tag Manager (GTM) or similar tools for tracking user interactions and events is also required. A foundational understanding of on-page and technical SEO is necessary to ensure that CRO efforts do not negatively impact search engine rankings. Finally, your ability to document experiments, create reports, and communicate insights and results to stakeholders clearly will be crucial for the success of the CRO projects.,

The Senior Analyst position at Deepak Polymers in Kanpur is a full-time on-site role that involves analyzing data, generating insights, and providing recommendations to enhance business strategies and operations. The ideal candidate for this role should possess proficiency in data analysis tools and software, strong analytical skills with attention to detail, excellent communication and presentation abilities, experience in statistical analysis and data modeling, and a Bachelor's degree in a related field such as Statistics, Mathematics, or Economics. Join us at Deepak Polymers and contribute to our mission of driving data-driven decision-making processes.,

You will be responsible for refining ambiguous questions and generating new hypotheses about the product through a deep understanding of the data, customers, and business. Designing experiments and interpreting the results to draw detailed and impactful conclusions will also be a key aspect of your role. You will define how our teams measure success by developing Key Performance Indicators and other user/business metrics in close partnership with Product and other subject areas such as engineering, operations, and marketing. Collaboration with applied scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging and data pipelines will be essential. Additionally, you will develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. To be successful in this role, you should have an undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. With at least 6 years of experience as a Product Analyst, Sr. Data Analyst, or in other data analysis-focused functions, you should possess an excellent understanding of statistical principles supported by an academic foundation. Advanced SQL expertise and experience with either Python or R for data analysis are required. You should also have significant experience in setting up and evaluating complex experiments, along with a proven track record of wrangling large datasets, extracting insights, and summarizing learnings. Proficiency in Excel and some dashboarding/data visualization tools like Tableau, Mixpanel, or Looker is preferred. Preferred qualifications include a proven aptitude for Data Storytelling and Root Cause Analysis using data, the ability to learn and adapt to new methodologies for data collection and analysis, and delivering on tight timelines while prioritizing multiple tasks with attention to quality and detail. You should be able to work in a self-guided manner, mentor, coach, and develop junior team members, and possess superb communication and organizational skills.,

We are seeking a dedicated Quality Manager to join our team at Cheer Sagar Exports. As a Quality Manager, you will be responsible for developing, managing, implementing, communicating, and maintaining a quality plan to ensure compliance with the Company's Quality Assurance Systems and Policies. With at least 6 plus years of experience, you will collaborate effectively with the Technical, Development, and Production teams to uphold product quality standards and achieve set targets. Your role will involve assisting technicians in pattern/specification checking, identifying and resolving production issues promptly, and making final quality decisions in accordance with company standards. In this position, you will oversee sample evaluation and production approval processes, reviewing measurements, workmanship, fitting, accessories, etc., and providing feedback on production quality. Monitoring QA/QC performance by analyzing production data and generating statistical reports will be crucial for communicating with relevant departments and addressing quality-related training needs. As the Quality Manager, you will be responsible for all aspects of quality control and product assembly in the factory. You will conduct quality control seminars and coaching sessions for company trainees, audit and control production issues, and ensure proper production planning, machine maintenance, and utilization of resources. Size set sample approval, pre-production meetings, in-line inspections, and pre-final inspections will also be part of your responsibilities. Furthermore, maintaining necessary documents, quality SOPs, and providing approval for processes such as print, embroidery, wash, as per buying house requirements will be essential. Upholding discipline, compliance standards, and leading the quality staff and GPQ team to ensure the final product's quality will be key priorities. If you are passionate about quality management and have the requisite experience, we encourage you to apply by sending your CV to Hr@cheersagarexports.com or sharing it at 9351199128. This is a full-time position offering health insurance, Provident Fund, a yearly bonus, and follows a day shift schedule. The work location is in person.,

As a Business Analytics Analyst at Stellantis, your primary mission is to deliver data-driven insights that enhance business performance, optimize customer engagement, and drive efficiency and revenue growth. Working within the Artificial Intelligence & Data Analytics (AIDA) team, you will collaborate with various stakeholders to analyze key metrics, offer actionable recommendations, and support the success of Stellantis" software products and subscription services. Your responsibilities will include developing and monitoring key metrics such as churn, acquisition, retention, and revenue to identify trends and address challenges for improved outcomes. You will conduct in-depth analyses to uncover business opportunities and risks, identify process optimization possibilities, and deliver insightful outputs to stakeholders. Collaboration with analytics engineering for data model refinement, supporting predictive and prescriptive analytics initiatives, and ensuring data accuracy and integrity are also key aspects of your role. To excel in this position, you must possess the ability to translate data into actionable insights that drive strategic business decisions. Your expertise should extend to analyzing and optimizing subscription and software performance metrics, defining customer behavior measurement metrics, and possessing attention to detail to present compelling stories in various formats. A collaborative mindset, continuous learning, and adaptability in a fast-paced, data-driven environment are essential traits for top performers in this role. To qualify for this position, you should have at least 3 years of experience in business analytics or a data-focused role, with a Bachelor's or higher degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field. Proficiency in SQL, Python, or other data analysis tools, as well as experience with data visualization tools such as Power BI, Tableau, or Looker, is required. Experience with large datasets, statistical analysis techniques, and notebook-based workflows like Jupyter or Databricks would be advantageous. Strong communication skills, a collaborative approach, and a passion for automotive software and subscription-based business models are also sought after. Joining Stellantis offers you the opportunity to shape the future of automotive, drive business growth, strategy, and customer experience, develop your skills in an innovative and data-driven environment, and gain exposure to cutting-edge analytics tools and methodologies. If you are a proactive, passionate individual with a human-first approach to problem-solving, this role could be the perfect fit for you. Apply now to be part of a global mobility player committed to providing distinctive, appealing, affordable, and sustainable mobility solutions for all. For further details and to apply, please send your profiles to careers.swxindia@stellantis.com with the following information: - Total years of experience: - Current CTC: - Expected CTC: - Notice Period: Stellantis is an equal opportunity employer, welcoming applications from individuals of all gender identities, ages, ethnicities, and nationalities. We value diversity and inclusion as we strive to meet the evolving needs of our customers and ensure a sustainable future. Your privacy is important to us, and by submitting your application, you agree to our privacy notice available at https://www.stellantis.com/en/privacy.,

Position Overview: Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution. Job Responsibilities: Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system. Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling. Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Basic Qualifications: Masters degree in a quantitative discipline or equivalent. 3+ years minimum professional experience. Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation. Excellent verbal and written communication skills, with the ability to present information and analysis results effectively. Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company. Statistics: Must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. Machine Learning: Must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation. Programming: Experience with Python, R, or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas).

Description: Plan, procure, evaluate, and control inventories of raw materials and packaging materials in line with production requirements. Coordinate with the Purchase department to ensure timely availability of materials. Coordinate with Quality Control for timely release of materials as per production schedule. Prepare, review, and implement departmental SOPs. Train subordinates on departmental SOPs and updates. Ensure strict adherence to SOPs and cGMP during warehouse operations. Prepare and submit MIS reports as required. Verify and maintain the integrity of all cGMP and statutory records. Ensure receipt, storage, and dispensing of materials are carried out per defined procedures, with reference to relevant MSDS and safety requirements. Oversee proper return or destruction of rejected materials in compliance with procedures and MSDS guidelines. Ensure weighing balances are verified and calibrated per SOPs. Maintain environmental conditions of designated storage and dispensing areas as per SOP. Coordinate with the Engineering department to execute preventive maintenance of departmental equipment. Ensure calibration of standard weights, balances, and instruments is done before the due date. Enforce safety protocols and ensure all team members follow defined safety measures during operations. Monitor receipt, storage, and issuance of engineering and miscellaneous materials as per SOPs. Prepare and review equipment qualification protocols and reports in collaboration with the Engineering department. Assist in conducting qualification studies and temperature mapping protocols. Ensure timely dispatch of finished goods to customers with proper documentation. Maintain overall housekeeping and upkeep of warehouse areas. Lead and coordinate change controls, deviations, and ensure timely closure. Represent the department during audits and ensure prompt compliance with audit observations. Essential Functions: Warehouse QMS-related activities Dispensing of materials as per production plan Dispatch of materials as per plan Additional Responsibilities: Raise material/service indents and prepare Capex proposals as needed. Manage departmental inventory effectively. Attend technical workshops/seminars and explore new techniques and technologies relevant to the warehouse function. Qualifications : Education: B.Sc. / B. Pharma Preferred B.Com or equivalent Acceptable Experience: 10 12 years of relevant experience in warehouse and distribution, preferably in a pharmaceutical or regulated industry. Skills: Documentation & Data Review Interpretation & Statistical Analysis Strong knowledge of cGMP, SOPs, and warehouse compliance systems Good communication and coordination abilities across departments

Jobs At CCIL - ccil - The Clearing Corporation of India Limited Jobs At CCIL - ccil About us Job Description of : Surveillance Job Title : Reports To : Experience : Candidates with 8-10 years of experience in Treasury Products Preferred Qualification : Graduate/ Post-Graduate with subjects that include Mathematics / Statistics / Finance Required Qualification : Graduate/ Post-Graduate with subjects that include Mathematics / Statistics / Finance Skill, Knowledge & Trainings : Core Competencies : Quantitative/Analytical ability Attention to detail Good team player Adaptability to change Functional Competencies : Exposure to Treasury Products by virtue of working with either Trading/Risk Management/Analyst/ Strategist Teams Proficient in using statistical analysis techniques and data visualization tools Technology Savvy, Working knowledge of programming/coding Job Purpose : Area of Operations : Key Responsibility : Monitor orders and trades across multiple trading platforms for outliers. Analyse Surveillance system alerts and develop periodic reports. Data analysis using Excel/R/Python, and providing insights through data interpretation and presentation. Regular interaction with internal and external teams on various aspects of system development and surveillance-related areas. Testing of systems as per requirement. Any Other Requirement : Should be ready to work extended hours as per the exigencies of business.