612 Statistical Analysis Jobs - Page 6

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.

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,

You will be responsible for supporting the development of Occupational Health and Safety (OHS) policies and programs within the organization. This includes conducting risk assessments and enforcing preventative measures to ensure a safe working environment. You will review existing policies and measures, updating them according to legislation as necessary. Initiating and organizing OHS training for employees and executives will be part of your role. You will also be required to inspect premises and the work of personnel to identify any issues or non-conformities. Additionally, overseeing installations, maintenance, and disposal of substances will be within your scope of responsibility. As an OHS professional, you will need to stop any unsafe acts or processes that appear dangerous or unhealthy. Having knowledge of potentially hazardous materials or practices is crucial for this role. You will be expected to prepare reports on occurrences and provide statistical information to upper management. Recording and investigating incidents to determine causes and handling workers" compensation claims will also be part of your duties. Ensuring compliance with legal, customer, and TTC (if applicable) requirements is essential. Monitoring natural resource consumption, calculating and reducing the CO2 footprint, and developing, testing, and improving plans for disaster response and Business Continuity Management (BCM) with continuous Kaizen are some of the key responsibilities. Proficiency in MS Office, along with good interpersonal and communication skills, will be beneficial in carrying out your responsibilities effectively.,

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment As an Analytics Solutions Manager - Applied AI/ML Vice President within the Asset & Wealth Management (AWM) Risk Management team, your role will involve designing, developing, and implementing advanced AI/ML solutions to meet various business needs while ensuring scalability and performance. As a Generative AI/ML Specialist in the AWM Risk Management team, you will play a crucial role in an agile team dedicated to creating and implementing cutting-edge generative AI and machine learning solutions. Your responsibilities will include offering strategic leadership in designing and executing innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. You will be tasked with architecting adaptable and scalable solutions that remain robust at their core yet flexible enough to evolve with changing business requirements. As a key technical and strategic contributor, collaboration across different business functions will be essential to integrate AI/ML capabilities that align with the firm's objectives. Furthermore, you will collaborate closely with leadership to provide thought leadership, create strategic roadmaps, and assess new AI/ML technologies, necessitating a blend of technical expertise and strategic foresight. Your responsibilities will include designing, developing, and implementing advanced AI/ML solutions to address various business needs, ensuring scalability and performance. You will also be involved in enhancing state-of-the-art Gen-AI models to support various use cases such as Document Q&A, Information Retrieval/Summarization, and Search. Collaborating with leadership to establish the technical vision and execute strategic roadmaps will be crucial in transforming business requirements into actionable AI/ML specifications. Leading AI/ML projects through the ML development lifecycle, employing agile methodology, defining key milestones, and ensuring timely delivery is another key responsibility. Staying updated on data science and machine learning advancements and collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization is also part of your role. Mentoring junior data scientists and analysts, designing training programs to enhance AI/ML awareness and adoption within the team, developing and maintaining efficient data pipelines and workflows, and conducting exploratory data analysis to uncover trends and insights are additional responsibilities. Presenting findings through clear and impactful visualizations and reports to enable informed decision-making across the organization is also a key aspect of this role. Required Qualifications, Skills, and Capabilities: - Bachelor's or higher in a quantitative discipline such as Computer Science, Data Science, or Machine Learning with 7+ years of experience - Proficiency in programming languages such as Python or R, and experience with SQL and relational databases - Deep knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques - Strong problem-solving skills, attention to detail, and the ability to work independently and as part of a team - Excellent communication and collaboration skills, with the ability to inspire and lead teams composed of both technical and non-technical members Preferred Qualifications, Skills, and Capabilities: - Experience with large language models (LLMs), prompt engineering techniques, and generative AI - Solid background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting - Experience with Graph Databases, Large Graph Models (LGM), and GraphRAG applications,

As a Silicon Design Validation Engineer at Lattice, you will be part of a dynamic and enthusiastic team working on cutting-edge projects in programmable logic solutions. If you thrive in a fast-paced and results-oriented environment and are passionate about innovation and self-challenge, this role offers you the opportunity to contribute to the validation and performance assessment of building blocks within FPGA. In this role, you will be responsible for validating and characterizing various IPs within the FPGA, such as SERDES, Memory DDR, DPHY, PLL, DSP, Fabric, and I/O components. You will have the chance to work on developing validation and characterization plans, test logic RTL, and drive new silicon product bring-up. Additionally, you will collaborate with design, verification, manufacturing, test, quality, and marketing teams to ensure the successful release of products to production. The ideal candidate for this role will have at least 5 years of experience in Silicon Design Validation, with expertise in High-Speed Serdes Interface characterization, Verilog/VHDL design implementation, and test automation development using languages like Python and Perl. You should also possess strong communication skills, problem-solving abilities, and a proactive mindset. At Lattice, we are focused on collaboration, problem-solving, and innovation. We are a leader in low-power programmable technology, serving customers in various markets such as communications, computing, industrial, automotive, and consumer electronics. By joining Team Lattice, you will be part of a team that is dedicated to creating a smarter, better-connected world through innovative semiconductor products and solutions. If you are motivated to develop a career in Silicon Design Validation Engineering and are looking for a challenging yet rewarding opportunity to work with advanced technologies and equipment, Lattice may be the perfect fit for you. Join us in driving innovation and shaping the future of technology together.,

As a Data Analyst with 3 to 5 years of experience in the product or Fintech domain, you will be required to have the following mandatory technical skill set: - Previous experience in a product-based company is mandatory - ML model development experience is a plus - Proficiency in Python for data analysis - Knowledge of statistical analysis and A/B testing - Strong skills in Excel for data manipulation - Proficient in SQL for data querying and manipulation - Experience with visualization tools such as Redash, Grafana, Tableau, or Power BI - Familiarity with versioning tools like Bitbucket, Github, and other versioning tools Your roles and responsibilities will include: - Working on product integrations, data collection, and ensuring data sanity checks - Enhancing product features for sustainable churn management - Analyzing collection analytics and implementing efficiency improvements for recovery - Working on enhancing subscription collection processes - Conducting A/B testing to improve subscription conversion rates - Monitoring key business metrics to track performance - Analyzing changes and their impact on the business This position offers an opportunity to work on diverse projects within the product or Fintech domain, utilizing your technical skills to drive business insights and improvements.,

You are a highly motivated and competitive Insurance Sales Representative joining our team to drive business expansion. Your main responsibility is to proactively acquire new clients, understand their insurance needs, and offer tailored solutions. Building strong relationships is key to facilitating business growth and enhancing our firm's reputation in the market. Your role as an Insurance Sales Representative involves promoting insurance products and services, engaging with potential clients, highlighting the benefits of our offerings, and effectively closing sales. Additionally, you will contribute to marketing efforts and stay updated on industry trends to provide informed recommendations to clients. Your dedication and results-driven approach will significantly contribute to the overall success and growth of our firm. Responsibilities include designing and implementing effective marketing strategies, contacting potential clients through various means, understanding customer needs and selling suitable protection plans, collecting client information, preparing reports, maintaining records, managing insurance claims, updating job-specific knowledge, and fulfilling company-established policy obligations. Requirements and skills for this role include proven experience as an Insurance Sales Representative, good understanding of insurance plans (e.g., automobile, fire, life, property, medical), computer proficiency, statistical interpretation skills, goal-oriented mindset, strong communication and presentation skills, experience in delivering client-focused solutions and building lasting relationships, and at least a high school or BSc degree. This is a full-time job with benefits such as cell phone reimbursement, health insurance, paid sick time, and Provident Fund. The work schedule is during the day with additional perks like performance bonuses and yearly bonuses. The work location is in person. If you are interested in this opportunity, please contact the employer at +91 9780492392.,

The position of Head- Demand Planning is currently open in Gurgaon for candidates with a Bachelors degree in Supply Chain Management, Business Administration, Statistics, or a related field. The industry for this job is AutoTech/Quick Commerce, and the ideal candidate should possess a minimum of 5 years and a maximum of 12 years of experience. Our client is dedicated to transforming the spare part procurement process in the Indian automotive aftermarket by utilizing AI/ML & deep tech. They specialize in providing genuine two-wheeler aftermarket spare parts, catering efficiently to mechanic workshops. The suitable candidate for this role should have at least 6 years of experience in a demand planning position within an e-commerce or a leading logistics company. Key competencies for this role include developing and maintaining accurate demand forecasts for multiple category/SKU lines by utilizing quantitative and qualitative signals such as historical data, trends, sales inputs, and market intelligence. The candidate should be proficient in forecasting methods and statistical tools to anticipate future demand and identify potential supply/demand issues. Additionally, analyzing sales trends, inventory levels, and market conditions to offer actionable insights is crucial. The candidate should also be adept at collaborating with Sales, Marketing, and Supply teams to align demand plans with business objectives and promotional activities. Coordination with procurement teams to ensure timely product availability is also a key responsibility.,

As an Engineering Manager - Analytics & Data Engineering at Highspot, you will be responsible for leading and nurturing a team of data analysts, data scientists, and data engineers. Your primary objective will be to drive the development of cutting-edge analytics capabilities within our B2B SaaS product, while also maintaining a company-wide data warehouse to facilitate data-driven decision-making. By leveraging your expertise in statistical analysis, machine learning techniques, and business acumen, you will uncover valuable insights from our data, enabling impactful decisions and fueling our growth. Your role will involve guiding strategic decisions related to data systems, analytics capabilities, team operations, and engineering culture. We are looking for a candidate who is passionate about team building and scaling, values-driven, committed to fostering a positive culture, self-directed, inquisitive, and resourceful. Your key responsibilities will include: - Leading a team of data analysts, data scientists, and data engineers, motivating them to deliver their best work and providing hands-on support when needed. - Analyzing core business topics using Highspot's product and business data to derive insights that drive product development and enhance platform effectiveness. - Applying statistical analysis, machine learning, and operations research techniques to develop solutions that drive impactful business outcomes such as operational efficiency improvements, customer churn rate reduction, and resource allocation optimization. - Driving the team's data & analytics strategy, technical roadmap, and data storage solutions. - Defining top-level business, team, and product metrics, and creating automated reports/dashboards to support strategic decision-making. - Developing and maintaining scalable end-to-end data pipelines and data warehouse systems that are essential for various teams across the company and ensure compliance with global data protection requirements. - Leading the development of custom scorecards and visualizations in the product to provide actionable insights to customers. - Contributing your technical expertise to the evolution of Highspot's software architecture and stack to meet the demands of hyper-growth and ensure high-availability and reliability across multiple data centers. - Collaborating with key partners and stakeholders to deliver high-impact customer value and promote effective communication within and outside the team. To be considered for this role, you should possess: - A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 5+ years of experience in designing and building scalable, high-quality customer-facing software. - 5+ years of experience in advanced analytics and cloud data engineering. - Proficiency in statistical analysis, data science models, data pipelines, and deriving actionable insights from complex datasets. - Strong skills in SQL, Python, object-oriented programming, and web technologies. - Experience in presenting to C-level executives and collaborating with various business functions. - A track record of fostering a high-performing team and promoting a positive work culture. - An entrepreneurial spirit and a commitment to delivering high-quality results. At Highspot, we are committed to diversity and inclusion. If this role aligns with your skills and interests, we encourage you to apply, even if you do not meet all the requirements listed above.,

You will be responsible for managing the monitoring, measurement, and review of internal processes, especially those that affect the quality of the organization's products. You will lead a team of quality engineers and inspectors to ensure that organizational goals are met. Reporting to top management on the performance of the Quality Management System (QMS) and identifying areas for improvement will be a key aspect of your role. Your duties will include ensuring timely inspection of monitoring and measuring devices, overseeing the inspection of materials at incoming, in-process, and final stages to ensure compliance with requirements. You will also be required to ensure digital recording of all inspections, maintain accurate documentation, and perform statistical analysis. As an interdepartmental coordinator, you will facilitate smooth workflow within the organization. Developing effective quality control processes by understanding customer needs and requirements, reviewing non-conforming products, and implementing corrective and preventive actions will be part of your responsibilities. Providing training as per the training plan and monitoring its effectiveness will also be crucial. Additionally, you will conduct periodic management review meetings and drive initiatives to reduce departmental overtime. This is a full-time, permanent position with a flexible schedule and day shift. A diploma is required for this role, and experience in CNC for at least 2 years is preferred. The work location is in person.,

The role of a Data Analyst is crucial in utilizing data to drive business decisions and strategies. You are responsible for collecting, processing, and analyzing data to provide actionable insights that can help improve organizational processes, products, and services. You play a pivotal role in aiding businesses to make informed decisions by interpreting complex data sets and identifying trends. Key responsibilities include collecting and interpreting data from various sources, cleaning and transforming data for analysis, identifying patterns and trends in data sets, developing and maintaining databases, creating visualizations and reports to communicate findings, conducting statistical analysis to support business decisions, collaborating with cross-functional teams to understand data needs, using statistical and data analysis tools to interpret data, developing and implementing data analysis strategies, identifying and recommending process improvements based on data insights, presenting findings to stakeholders and business leaders, ensuring data accuracy and integrity, keeping abreast of industry best practices and technological advancements, assisting in the development of data-driven strategies, and supporting data-driven decision-making processes. Required Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Economics, Mathematics, or related field - Proven experience as a Data Analyst or related role - Proficiency in SQL for querying and data manipulation - Strong knowledge of data analysis and visualization tools such as Python, R, Tableau, or Power BI - Ability to interpret and analyze complex data from multiple sources - Solid understanding of statistical methods and their applications - Experience in data cleaning and transformation techniques - Excellent analytical and problem-solving skills - Ability to communicate complex findings in a clear and understandable manner - Knowledge of data warehousing and database management systems - Experience in conducting root cause analysis and process improvement - Proven track record of delivering actionable insights from data - Ability to work independently and in cross-functional teams - Strong attention to detail and accuracy - Certifications in data analysis or related fields is a plus Skills required for this role include python, tableau, communication, problem-solving, data cleaning, root cause analysis, data analysis, statistics, SQL, R, data transformation, Power BI, database management, data warehousing, statistical analysis, and data visualization.,

As a Sales Executive, your primary responsibility will be to focus on selling products and services to potential customers. This will involve traveling to meet prospective clients, generating leads, and contacting clients to discuss products that align with their needs. You will be required to arrange meetings with clients, visit their offices, and convince them to purchase products or subscribe to services offered by the company. The core objective will be to boost the company's sales by providing a clear description of products and services, highlighting their benefits to customers. It is essential for you to be competitive, confident, and dedicated to delivering the best results for the organization. Taking initiative, working independently to achieve targets, and collaborating effectively with team members are key attributes for success in this role. Your verbal communication skills should be excellent in order to effectively engage with clients and prospects. Additionally, you will be responsible for generating business leads, maintaining statistical data, and providing reports as needed. Your commitment to driving sales growth and your ability to effectively communicate the value of products and services will be critical to your success in this position.,

You are a Jr. Data Scientist with 0-1 year of experience, seeking a Full-time employment opportunity. Your role involves working with real-world data, applying standard and advanced preprocessing and modeling techniques in a collaborative environment. You should have a strong foundation and clear understanding of data science concepts. Your key responsibilities include: 1. Data Ingestion & Preparation: Extract and manipulate data using SQL and Python (pandas), import and clean both structured & unstructured datasets. 2. Data Preprocessing & Feature Engineering: Handle missing values, outliers, and duplicates using statistical and ML techniques, apply noise reduction, data integration, and transformation, perform dimensionality reduction, and ensure data validation. 3. Model Building & Evaluation: Develop machine learning models for varied problem types, tune hyperparameters using cross-validation and assess models using standard metrics. 4. Visualization & Insight Generation: Build dashboards and visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau, conduct statistical analysis to derive actionable business insights. 5. Team Collaboration: Work closely with cross-functional teams to align deliverables with organizational goals, participate in agile discussions and contribute to iterative development. You are required to have: - Bachelors or Masters in Data Science, Computer Science, Statistics, or related field - Proficiency in Python or R, strong SQL skills, and experience handling CSV/Excel data - Understanding and implementation of various machine learning models and their practical applications - Ability to evaluate model performance using appropriate metrics - Experience with data visualization tools and analytical thinking, problem-solving, teamwork, and clear communication skills. If you are ready to make an impact by transforming data into meaningful insights, apply now by emailing your CV to careers@solvusai.com with the subject line: Job ID 202507-DS01.,

You are seeking a Lead Engineer - System Verification to join our team. In this role, you will be responsible for executing verification tests, developing test methods, analyzing measurement data, and reporting test results in compliance with international standards. Your tasks and responsibilities will include translating requirements into verification plans and protocols with a focus on traceability. You will develop reproducible and maintainable verification test methods, test set-ups, and tools. It will be your responsibility to define and document the impact on system-level behavior resulting from design changes and ensure thorough verification. You will create, implement, and enhance product test plans/protocols to ensure that product design meets specifications and quality system requirements in alignment with reference standards. Collaboration with the system team and development team to design test descriptions and acceptability criteria is essential. Familiarity with the medical device regulatory environment, including FDA regulations, MDR, and IEC standards, is required. You will conduct product tests using laboratory tools such as a multimeter and oscilloscope, performing statistical analysis of test results. Additionally, you will design test methods, conduct test method validation activities including Measurement System Analysis (MSA), and prepare relevant documentation. Providing the test area with parameters for sample testing and specifying tests to be performed will be part of your responsibilities. You will also perform and report verification and validation tests, write test reports, and create technical documentation in compliance with applicable standards and regulations. Your role will involve guiding project members in documenting development activities, coordinating the work and progress of the development team, and mentoring and supporting team members in the development of test methods and test equipment. **Work Experience:** **Skills and Qualifications:** - Bachelor's degree in Mechatronics or Electrical Engineering - 6-9 years of industry experience in a similar role with a strong understanding of the design verification process - Knowledge of international (medical) standards and regulations - Proficiency in writing and maintaining test requirements from Customer level to System Level, decomposed into subsystems, modules, software levels - Understanding of statistical methods, test method validation, and the use of MiniTAB - Broad knowledge of available market test equipment - Excellent written and spoken English skills - Quality-oriented mindset with comfort in documentation practices and understanding of objective evidence.,

The Risk division at our firm is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance. Within the Operational Risk Assessment Execution team, we focus on developing and implementing a standardized framework to identify, measure, monitor, and assess operational risk across the organization. As the RCSA Vice President, you will collaborate with the global team to engage stakeholders across multiple locations, establish and maintain a firm-wide operational risk assessment program, and oversee the local team. Your role will involve managing the Business as Usual (BAU) RCSA process, including reporting and analytics. Your responsibilities will include leading various aspects of the risk assessment process, refining the RCSA methodology based on industry best practices and regulatory expectations, analyzing RCSA results to identify risk trends and develop mitigation strategies, developing program-specific reporting for senior management, and managing the team's recruitment, training, and career development. You will also work on process improvements, system enhancements, reporting infrastructure, and stay updated on business, regulatory, and industry changes that may impact the assessments. To be successful in this role, you should have a minimum of 8 to 10 years of experience in the financial services industry, with at least five years in operational risk management, internal audit, or compliance, preferably in a large financial institution. You should possess a deep understanding of RCSA methodologies, strong project management and organizational skills, and the ability to work effectively with senior stakeholders across different geographies. Additionally, you should have attention to detail, excellent data analysis skills, advanced data analytics capabilities, and a solid understanding of regulatory requirements and best practices related to operational risk management and RCSA. At our firm, we are committed to fostering diversity and inclusion, providing opportunities for professional and personal growth, and supporting our employees in various aspects. If you are enthusiastic, intellectually curious, and thrive in a fast-paced environment with a focus on delivery, we invite you to apply for this exciting opportunity to contribute to our risk assessment program. Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to helping our clients, shareholders, and communities grow. If you are interested in joining our team and making a difference, we encourage you to learn more about our culture, benefits, and available opportunities at GS.com/careers.,

Huron is dedicated to helping its clients achieve growth, enhance performance, and maintain leadership in their respective markets. Specializing in healthcare, we assist organizations in developing innovation capabilities and accelerating key growth initiatives to stay ahead of industry disruptions. Our collaborative approach empowers clients to drive sustainable growth, streamline internal processes, and improve consumer outcomes. Healthcare institutions face increasing pressure to enhance clinical outcomes and reduce the cost of patient care. Simply investing in new partnerships, services, and technology is insufficient for creating meaningful change. Long-term success in the healthcare sector requires organizations to cultivate cultures of innovation among leaders, clinicians, employees, affiliates, and communities to achieve optimal patient outcomes. As a member of the Huron team, you will play a vital role in guiding our clients through the dynamic healthcare landscape, optimizing business operations, enhancing clinical outcomes, improving the healthcare experience for consumers, and boosting engagement across the enterprise. Your key responsibilities will include: - Investigating trends through standardized and ad hoc analyses to uncover insights for strategic decision-making. - Packaging analysis findings in a digestible format such as summary reports, scorecards, and dashboards, highlighting areas for immediate action. - Supporting various analytical needs to identify trends and anomalies, utilizing statistical techniques to evaluate revenue cycle performance. - Developing data visualizations, dashboards, and reports to aid operational leaders. - Performing root cause analysis on revenue cycle issues and proposing solutions. - Ensuring data integrity and accuracy through data mapping, standardization, and quality assurance processes. - Applying proven methodologies to address complex business problems in collaboration with team members and stakeholders. - Providing regular status reports and effectively communicating progress, risks, and deliverables to stakeholders. - Participating in performance metric reviews and project-specific calls as required. Skills and Qualifications: - Strong critical thinking skills in data collection and complex analysis. - Experience in US Healthcare/hospital settings with a focus on data analysis. - Excellent written and verbal communication skills. - Ability to summarize information effectively and present findings to internal and client leadership. - Proficient in Microsoft Office tools (Word, PowerPoint, Excel). - Capable of interacting with individuals at all organizational levels. - Comfortable working independently and collaboratively in a team environment. - Proficiency in navigating client systems and databases. - Skilled in facilitating meetings and providing progress reports. - Demonstrated ability to manage multiple tasks with a sense of urgency and attention to detail. Preferred but not required: - Experience in creating custom dashboards and reports using visualization tools like Tableau, PowerBI, Quicksight, or Alteryx. - Data literacy skills, including working with large data sets and SQL queries. Position Level: Associate Country: India,

As a Senior Analytics Business Partner at Adobe, you will play a crucial role in Adobes Employee Experience organization, with a primary focus on India while also engaging in global projects and partnerships. Your responsibilities will include building and owning relationships with stakeholders, serving as their main point of contact to the People Analytics team. You will consult with HRBPs, HR COEs, & leaders across the business to develop a deep understanding of current business priorities and ensure that reporting and analysis align with those objectives. As a thought partner to HRBPs and other leaders, you will conduct analyses and literature reviews to provide insights on key business and people questions. Leveraging academic and industry research, analytics, and knowledge of HR trends, you will address practical business challenges and communicate priority HR initiatives and business context to the rest of the team. Your role will involve authoring presentations and communicating insights that drive action and positive impact. You will champion proper data handling to maintain privacy & confidentiality standards, conduct ad-hoc analytical deep dives on complex data, and present findings to non-analytical audiences in a way that drives impact and decision making. Additionally, you will explore, prototype, and iterate on insights from internal data and research and collaborate with research, data science, and business intelligence members of the People Analytics team on complex analyses, modeling, and data transformation. To succeed in this role, you should have a minimum of 10 years of experience working in HR and/or consulting to organizations, with at least 5 years in people analytics. Expertise in I/O psychology or a related field is required. You should possess statistical and analytical proficiency, be adept at storytelling with data and research, and have a strong business acumen. A solid understanding of the HR landscape, functions, processes, challenges, and best practices is essential. You should have excellent ability to influence and build strong relationships with stakeholders, with proficiency in Python or R skills preferred but not essential. An HR Analytics Certification would be an added advantage. Adobe is committed to creating exceptional employee experiences and values diversity and inclusivity in the workplace. If you have a disability or special need that requires accommodation, please contact accommodations@adobe.com or call (408) 536-3015. Adobe also upholds policies to ensure a free and open marketplace for all employees, prohibiting illegal agreements with other companies regarding recruitment or hiring practices.,