335 Data Analyst Jobs - Page 10

Job Title: Global Security Data Analyst WHY HONEYWELL? Honeywell changes the way the world works. For more than 130 years, we have solved the toughest customer challenges through a rare combination of our industrial expertise, our innovations in groundbreaking software and technology, and industry-leading automation. This perfection is built on a foundation of inclusion, and diversity and driving a performance culture that values integrity and ethics. Are you ready to help us make the future? ABOUT THE ROLE: As a Cyber Security Architect/Engineer, you will partner with leadership, stakeholders, and employees to communicate through critical dashboards where to devote resources to secure Honeywell. You will work across the organization with a variety of security teams to drive down risk using data. Using your data acumen and user interface design skills, you will lead the creation and maintenance of Honeywell Global Security dashboards. By influencing with and without authority, you will help us accomplish our common mission to protect the company. This role will be responsible for performing data analysis, data mapping, data integration, data quality and dashboard development. In this role you will be the primary support around our critical dashboards. This role offers a unique opportunity to work across multiple security teams to ensure a holistic picture of the risks for Honeywell and to drive a data strategy to ensure accuracy, efficiency, timeliness and consistency across our data feeds. RESPONSIBILITIES: Use analytical and technical skills to translate business needs into requirements for designing and implementing Honeywell Global Security dashboards Collaborate with data and service owners to identify data requirements and design, maintain, and optimize data pipelines for structured and unstructured data, moving it to a centralized enterprise data warehouse Work with security service owners to use APIs for automating dashboards and eliminate manual data processes where possible Design and implement data models and schemas to support analytical and reporting needs Operate independently with minimal supervision, receiving only high-level direction from leadership Document standard processes and troubleshooting procedures Provide end-user support to minimize disruptions and encourage full use of the system Monitor data extraction, transformation, and loading processes MUST HAVE: Bachelor s degree in computer science or relatable field or 3 years equivalent experience At least 3 years of demonstrated data management experience, including the ability to merge, clean and analyze large amounts of data; as well as the development of complex dashboards. Experience with both structured and unstructured data Advanced Microsoft Excel knowledge WE VALUE: Experience in using data integration tools to extract, transform, and load processes Experience in data modelling techniques, including schema design Expert in scripting and querying languages, such as Python and SQL Familiar with metadata management within analytics tools such as Tableau and PowerBI Experience delivering results with agile development methodologies Knowledge of databases, data warehouse platforms, and cloud-based tools Proven mentoring ability to drive results and technical growth in peers Ability to clearly document business process and system requirements Ability to develop and communicate the technical vision for projects and initiatives, which can be used to support customer and management understanding Excellent interpersonal, communication, and presentation skills, along with strong organizational and decision-making abilities, good judgment, and tact Experience working in a global team and virtual environment with a strong understanding of cultural differences and a proven ability to integrate these into team dynamics BENEFITS We offer a full benefits package that includes medical, dental, vision, 401(k), flexible vacation and education assistance. Benefits provided may differ by role and location. Visit benefits.honeywell.com to learn more.

Role Advanced Data Analyst Domain Global Finance Center- ISC Direct Reports (Y/N) N Key Responsibilities Critical activities of the job Business analytics and Process Improvement Define, develop, deliver, and maintain efficient and insightful global standard-based reporting and analytics for supply chain process Partner with Functional team in identifying and delivering process improvement opportunities. Challenge Status quo and bring in new analytics for process simplification and standardization Experience of SAP/Oracle system, data mining, financial planning and reporting system. Experience in designing BI queries, Tableau development. Exposure to Alteryx/R/Python Manage senior stakeholder relationships across Finance and Tech to align purpose, teams, and technology Monthly MOS management with established standards Ability to deliver under pressure and escalation management Highly experienced SAP reporting subject matter experts and data mining / management reporting specialists to engage with business users & Hubs to: o Capture and prioritize business reporting and analysis requirements. o Identify and mobilize to eliminate reporting and analysis pain points, review metric definitions and propose relevant policy changes o drive adoption of global process reporting solutions & build capability and advocacy o sustain robust BAU delivery of standard based reporting Technical Competencies Highly skilled and experienced reporting designers and architects to: Engage with the business facing team to define and deliver automated, robust, efficient and creative reporting solutions to meet identified reporting needs Leverage available, scalable technologies to implement sustainable reporting and analysis solutions Efficiently capture reporting issues through Remedy/Service Now and engage across Operational and Tech functions to ensure timely and effective resolution. Competencies Specific knowledge, skills and experience needed to successfully undertake duties of the job Education and Certifications Technical Grad/Engineer, with certification in Tableau, Power platform-based applications MBA in finance will be an added advantage Required Experiences Min 7-10 years of exposure of developing and maintaining analytical dashboard for supply chain management Expertise in Alteryx, Power BI, Tableau, Python, and other power platform-based applications Experience in supply chain process Knowledge and Skills Strong facilitation, communication, and interpersonal skills, ability to influence senior leadership and decision-making using data. Experience of SAP/Oracle system, data mining, financial planning and reporting system. Experience in designing BI queries, Tableau development. Exposure to Alteryx/R/Python Monthly management of actuals reporting, forecasting and budgeting experience. Ability to work independently & manage multiple priorities. Completer / finisher with ability to investigate and recommend new ways of working / process improvements. Process orientated with excellent problem-solving skills. Behavioral Attributes (Honeywell behaviors or COO attributes) Innovate and create value for customers Embrace transformation Win together Build exceptional talent Drive accountability culture Be courageous

Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Assist in conducting financial and market research. Prepare reports and presentations based on research findings. Support senior analysts in data collection and analysis. Monitor industry trends and news for relevant insights.

Assist in conducting financial and market research. Prepare reports and presentations based on research findings. Support senior analysts in data collection and analysis. Monitor industry trends and news for relevant insights.

Database Developer Design and develop database schemas and queries Optimize SQL queries and stored procedures for performance Implement data models that adhere to best practices for efficiency and scalability Collaborate with application developers to integrate database functionality into applications Test and debug database-related code Provide expertise on database design and optimization techniques to other team members Application Developer Write applications that interact with the MemSQL database Implement business logic and application functionality using appropriate programming languages and frameworks Optimize application performance by leveraging MemSQL features such as query caching and parallel query execution Ensure proper error handling and data integrity within applications Collaborate with database developers to optimize database access patterns Keep abreast of MemSQL features and updates to leverage them effectively in applications Data Analyst Extract, transform, and load (ETL) data into MemSQL from various sources Write and execute complex SQL queries to analyze data and generate insights Build and maintain data visualizations and dashboards Collaborate with stakeholders to understand data requirements and provide actionable insights Ensure data quality and integrity through data validation and cleansing processes Monitor and optimize query performance for analytical workloads MemSQL Administration (Additional Responsibilities) Configuration and maintenance of MemSQL Performance tuning and optimization Security management, including user access control and role assignments

As a Data Analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will support the development of the insurance industry s leading liability catastrophe modeling solution for the global insurance and reinsurance market. The Arium models quantify the systemic and emerging liability risks that can lead to significant aggregations and clash risks across portfolios, ranging from climate change to recessions to chemical exposures and across major commercial liability lines, including commercial general liability and professional/management liability lines. This role is part of the Arium research and analytics team, and will be based in Hyderabad. Qualifications: Bachelors Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 2-3 years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and we'll-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills Day to Day Responsibilities: Own all Arium View of Risk data and data preparation processes Own the update process for historical event parameterization Collaborate with the research team to make all necessary data adjustments to maintain a robust database Support all necessary data preparation and pre-processing for specific modeling projects and initiatives Streamline data update and cleaning processes, including refactoring and optimizing legacy code to improve performance Support Ad-hoc data analysis and queries from various Arium teams

The incumbent act as a data analyst supporting multiple use cases, digital lighthouse projects as part of DLC teams collaborating closely with business, data strategy teams and IT The incumbent would be expected to demonstrate good business domain understanding, ability to articulate user requirements, understand system-specific data flows, perform statistical analysis to identify challenges / solutions, and thereby help prepare data specification & user requirement documents to propose appropriate solutions & their feasibility to business. The incumbent would be expected to analyze and assess all components of a problem and have excellent skill to communicate. 2-4 years of experience in a Global company as a data analyst, business analyst or business requirement analyst Domain expertise in at least one of the following areas - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred About the Role: Data Analyst needs to support multiple data centric activities such as data engineering, data quality, data analytics other data management activities by working closely with business, data strategy teams and IT. Work under the guidance of Data Manager in agile team to build the data solutions using approved tech stack and should be able to support the ongoing engagements with Novartis business teams. Key Responsibilities: Creating and maintaining the sanity of the Master Data (e. g. , C ustomer, Products etc. ) Supporting consolidation/ harmonization of data (master and transactional data) . Support setting up business rules for creating and maintaining master data Querying, analyzing, and profiling various datasets Supporting data migration activities by validating business data and maintaining data pipelines Ensure the data quality and process governance . Help build & i mplement data quality checks and KPI reporting . Closely work along with Business partner & liaising with IT for resolving issues Ensuring processes documentation in form of SOP s, QC list & Process flows diagrams. Essential Requirements: Education : Bachelors / Masters in computer sciences / IT or other quantitative sciences 2-4 years experience in a Global company as data steward, data analyst, data engineer or business analyst Bring deep business understanding of pharmaceutical industry and data standards with domain experience in at least one of the following areas - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales Hands-on experience in Master Data Management (MDM), Data Stewardship and Data Quality Hands-on experience of ETL and programming/scripting skills (SQL, Alteryx, Databricks & Dataiku) for data preparation and analysis . Understanding of data modeling (conceptual, logical, and physical) Desirable requirements: Proficient with MS office (especially MS Excel) . Adept with Agile ways of working . Excellent communication and presentation skills with business stakeholder engagement experience Experience in gathering and documenting business requirements

About Us Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. At Udacity, the Analytics Team is deploying data to inform and empower the company with insight, to drive student success and business value. We are looking for a Principal Data Analyst to help advance that vision as part of our business analytics group. You will work with stakeholders to help inform their current initiatives and long term roadmap with data. You will be a key part of a dynamic data team that works daily with strategic partners to deliver data, prioritize resources and scale our impact. This is a chance to affect thousands of students around the world who come to Udacity to improve their lives, and your success as part of a world-class analytics organization will be visible up to the highest levels of the company. Your Responsibilities: You will report to the Director of Data and lead high-impact analyses of Udacity s curriculum and learner behavior to optimize content strategy, ensure skills alignment with industry needs, and drive measurable outcomes for learners and enterprise clients Lead the development of a strategic analytics roadmap for Udacity s content organization, aligning insights with learning, product, and business goals. Partner with senior stakeholders to define and monitor KPIs that measure the health, efficacy, and ROI of our curriculum across both B2C and enterprise portfolios Centralize and synthesize learner feedback, CX signals, and performance data to identify content pain points and inform roadmap prioritization. Develop scalable methods to assess content effectiveness by integrating learner outcomes, usage behavior, and engagement metrics. Contribute to building AI-powered systems that classify learner feedback, learning styles, and success predictors. Act as a thought partner to leaders across Content and Product by communicating insights clearly and influencing strategic decisions. Lead cross-functional analytics initiatives and mentor peers and junior analysts to elevate data maturity across the organization. Requirements: 8+ years experience in analytics or data science roles with a focus on product/content insights, ideally in edtech or SaaS. Advanced SQL and experience with data warehouses (Athena, Presto, Redshift, etc.). Strong proficiency in Python for data analysis, machine learning, and automation. Experience with dashboards and visualization tools (e.g., Tableau, PowerBI, or similar). Strong knowledge of experimentation, A/B testing, and causal inference frameworks. Proven ability to lead high-impact analytics projects independently and influence stakeholders Excellent communication skills able to translate technical insights into business recommendations Preferred Experience: Familiarity with Tableau, Amplitude, dbt, Airflow, or similar tools Experience working with large-scale sequential or clickstream data Exposure to NLP, embeddings, or GPT-based analysis for feedback classification Understanding of learning science or instructional design principles Benefits: Experience a rewarding work environment with Udacitys perks and benefits! At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person Flexible working hours Paid time off Comprehensive medical insurance coverage for you and your dependents Employee wellness resources and initiatives (access to wellness platforms like Headspace) Quarterly wellness day off Personalized career development Unlimited access to Udacity Nanodegrees

Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making. The ideal candidate will have a strong foundation in SQL, data cleaning, statistical analysis, and data visualization. This role will involve working closely with cross-functional teams to uncover actionable insights from large datasets and communicate findings effectively to stakeholders. Responsibilities : Data Analysis and Modeling : - Develop and execute complex SQL queries to extract, transform, and load data from various sources. - Conduct in-depth statistical analysis, including hypothesis testing, regression analysis, and time series analysis. - Build and maintain data models to support analytical needs and reporting requirements. Data Cleaning and Preprocessing : - Identify and address data quality issues, such as missing values, inconsistencies, and outliers. - Perform data cleaning and transformation tasks to ensure data accuracy and consistency. Data Visualization : - Create compelling data visualizations using tools like Python (Matplotlib, Seaborn), Tableau, or Power BI. - Communicate complex findings clearly and effectively to both technical and non-technical audiences. Project Management : - Collaborate with cross-functional teams to understand business requirements and define analytical objectives. - Manage data analysis projects from start to finish, including planning, execution, and reporting. Cloud Platform Utilization : - Leverage Microsoft Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Machine Learning) to build and scale data pipelines. - Demonstrate a strong understanding of cloud-based data storage, processing, and analytics. Qualifications : - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. - 8+ years of experience in data analysis or a similar role. - Strong proficiency in SQL and data manipulation techniques. - Experience with statistical analysis methods (e.g., hypothesis testing, regression analysis). - Expertise in data visualization tools (e.g., Python, Tableau, Power BI). - Familiarity with cloud computing platforms, particularly Microsoft Azure. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. Preferred Qualifications : - Experience with data mining and machine learning techniques. - Knowledge of scripting languages (e.g., Python, R). - Experience with data governance and data quality management.

At Sentient, we re pioneering the open artificial general intelligence (AGI) frontier, enabling loyalty and monetization of open-source models through cutting-edge research. Our platform is designed to democratize AI development, empowering communities to collaboratively train, control, monetize, and build on top of AI models in a truly open and accessible ecosystem, ensuring fair value distribution to AI builders. Sentient is backed by leading Silicon Valley venture capital firms including Founders Fund and founded by top AI academics and protocol founders. Job Summary Were seeking an exceptional AI Product Data Analyst to join our team in building Sentient Chat, a multi-agent product aiming to compete with leading consumer AI competitors. This role is a unique opportunity to work on end-to-end AI system development, from data analysis to executing on tangible AI feature improvements. The ideal candidate will have a strong focus on data analysis, natural language processing, and understanding of consumer AI performance expectations. Responsibilities Build data pipelines for natural language processing from Sentient Chat logs, analyze feedback, and extract product-level insights Run public and private benchmarks on internal AI sub-systems to assess performance across prototypes and competing products Own and compile custom datasets to define acceptance criteria throughout the product development lifecycle Conduct basic market research to suggest ways to improve AI performance on target metrics Organize scripts and data to present concrete AI failure cases and identify improvement areas Required Qualifications Experience in AI/ML : 2+ years of hands-on experience in data analysis, machine learning, or a related field, with a focus on natural language processing (NLP) and/or generative AI. Technical Skills : Strong proficiency in Python, with experience in libraries such as PyTorch, NumPy, and pandas. Data Analysis : Proven ability to collect, analyze, and interpret large datasets, with experience in data profiling and evaluation. Problem-Solving : Excellent problem-solving and analytical skills, with a proactive approach to challenges and a strong foundation in data science. Ability to derive and answer product-level questions to improve the end-consumer experience. All successful candidates will be contacted within 72 hours.

Navigate complex tech landscapes and shape firmwide impact through strategic leadership and tech expertise in a dynamic financial services environment. Join our dynamic financial services environment and shape firmwide impact through strategic leadership and tech expertise. Be a part of the Data & Analytics (D&A) group, a key player in Consumer & Community Bankings business, using AI, ML, and basic analytics to identify revenue opportunities and enhance operational efficiencies. As part of the Program team, youll promote initiatives across D&A s product portfolio and data analyst community. Our largest project is the D&A Cloud Migration, where were transitioning our 50K+ data products and 5K+ analysts to AWS cloud and Snowflake, enabling faster, scalable analytics, AI, and ML at Chases scale. Job description As a Technical Program Manager in Consumer & Community Bankings Data & Analytics group, you will drive the successful delivery of complex technology projects and programs that enable attainment of business goals across the firm. This role encompasses initiatives aimed at enhancing our technological landscape via the migration of data analyst users, applications, and datasets from on-premises to cloud-based platforms. Job responsibilities Drive key components of the D&A Cloud Migration program, ensuring alignment with strategic objectives and timely execution of initiatives. Lead the migration of users and applications to target platforms on AWS cloud and Snowflake, coordinating with cross-functional teams to ensure seamless transitions. Act as a liaison between business and technical teams, ensuring clear communication and alignment of objectives. Collaborate with technology stakeholders to understand and address technical challenges, driving innovative solutions and mitigating risks. Utilize technical expertise, analytical acumen, problem solving and facilitation skills to provide leadership and guidance to supported teams working to address issues and plan efforts. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization. Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients. Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment. Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities. Strong organizational capabilities and expertise in managing change effectively. Effective leadership, communication, strategic thinking, and collaboration abilities. Preferred qualifications, capabilities, and skills PMP or similar project management certification is a plus. Bachelor s or Master s degree in a technical field. Applicable cloud computing certifications are a plus.

Responsibilities: - Interpret data, analyze results using statistical techniques, and provide ongoing reports. - Develop and implement reporting infrastructure, interactive dashboards, and other analytical tools to provide insight into the data. - Acquire data from primary or secondary data sources and highlight any issues in the existing databases/data systems. - Identify, analyze, and interpret trends or patterns in complex data sets. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Work with management to prioritize business and information needs. - Locate and define new process improvement opportunities. Requirements : - Bachelor's or Master's degree in statistics/mathematics/engineering. - 2+ years of experience as a Data Analyst or Business Data Analyst. - Technical Expertise in data models, database design, development, data mining, and segmentation techniques. - Strong knowledge of and experience with Excel, SQL, Python, and dashboarding tools such as Metabase, Tableau, etc. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Knowledge of statistics and experience using statistical packages for analyzing and visualizing datasets (Pandas, NumPy, sci-kit-learn, Seaborn). - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Keen interest in solving problems using data and providing a new perspective to stakeholders.

ANY DEGREE IS PREFERRED 1>good Logical Skills. 2>fresher Business Analytics 3>fresher Data Analyst 4>good Analytical Skills Please apply for the job in Naukri.com. We will check & will update you. Do not search the number in Google and do not call us. The requirements are not yet active from Client's side.

ANY DEGREE IS PREFERRED 1>good Logical Skills. 2>fresher Business Analytics 3>fresher Data Analyst 4>good Analytical Skills Please apply for the job in Naukri.com. We will check & will update you. Do not search the number in Google and do not call us. The requirements are not yet active from Client's side.

Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Knowledge of the following will be advantageous : - SQL Query writing - MS Power BI - Python/R for data science Responsibilities : Selected candidates will be responsible for the following : - Data Cleaning and Preparation : This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. - Data Exploration and Analysis : Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends. - Data Visualization : They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. - Reporting : Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes. - Collaboration : They often work with other departments to understand their data needs and help them make informed decisions based on data insights. - Understand requirements given by business users in the functional domain. - Access data stored in databases/warehouses/flat files. - Create/test/deploy intuitive and interactive, analytical dashboards. - Create algorithms in Python/R for advanced analytics. - Create data governance policies like RLS to manage data security.

Responsibilities : - Gather data from various sources (databases, spreadsheets, APIs, etc. - Identify, clean, and transform data to ensure accuracy, consistency, and integrity. - Develop and maintain data pipelines and processes for efficient data handling. - Conduct exploratory data analysis to identify trends, patterns, correlations, and anomalies. - Apply statistical techniques and data visualization tools to analyze datasets. - Interpret data and provide meaningful insights and recommendations. - Develop and maintain reports, dashboards, and other data visualizations to communicate findings effectively. - Work closely with stakeholders from different departments to understand their data needs and business questions. - Present data findings and insights in a clear and concise manner to both technical and non-technical audiences. - Participate in discussions and contribute to data-driven decision-making processes. - Document data sources, methodologies, and analysis processes. - Utilize data analysis tools and software such as Excel, SQL, and data visualization platforms (i.e. Tableau, Power BI). - Learn and adapt to new data analysis tools and technologies as needed. - May involve basic scripting or programming for data manipulation (i.e. Python). - Identify opportunities to improve data collection, analysis, and reporting processes. - Stay updated on the latest trends and best practices in data analysis. - Contribute to the development of data governance and quality standards. Qualifications : - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - 1-3 years of professional experience in a data analysis role. - Strong understanding of statistical concepts and data analysis techniques. - Proficiency in SQL for querying and manipulating data from databases. - Excellent skills in Microsoft Excel, including advanced formulas and data manipulation techniques. - Experience with at least one data visualization tool such as Tableau, Power BI, or similar. - Ability to interpret data, identify patterns, and draw meaningful conclusions. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences. - Strong attention to detail and a commitment to data accuracy. - Ability to work independently and as part of a team. Preferred Skills : - Experience with programming languages such as Python (especially libraries like Pandas, NumPy, Matplotlib, Seaborn). - Familiarity with cloud-based data platforms (i.e., AWS, Azure, GCP). - Experience with data warehousing concepts. - Knowledge of statistical software packages (i.e., R, SPSS). - Experience with different data modeling techniques. - Exposure to machine learning concepts. - Experience working with specific industry data (i.e., marketing, sales, finance)

Key Skills: Data Analyst, Business Analyst, Excel, Data Analysis. Roles and Responsibilities : Generate, prepare, and analyze annual, quarterly, weekly, and ad hoc reports for multinational clients. Collect necessary financial and non-financial information from global offices to support client reporting. Create reports and execute processes while ensuring client deadlines, internal standards, and network commitments are met. Manage and maintain accurate reinsurance documentation for pooling and/or captive client arrangements. Prepare basic to moderate financial bordereaux for different pooling or captive programs. Coordinate with local offices and partner companies to gather data and ensure timely submission of financial reports. Perform quarterly settlements with network members and captive clients. Provide general administration and analytical support to the Multinational Sales Team and multinational clients. Actively contribute to projects aimed at simplifying and standardizing the reporting and analysis process to enhance efficiency and quality. Experience Requirement: * 2-4 years of relevant experience, preferably in multinational reporting or client servicing roles. * Prior experience working with multiple stakeholders across geographies is desirable. * Proven ability to manage data, generate reports, and handle client-facing responsibilities within agreed timelines. Education: Any Post Graduation, Any Graduation.

Maxgen Technologies Pvt ltd is based in Pune offering software development internship. we are providing Machine learning internship with to diploma and engineering candidates. why we are important internship with project experience . hybrid internships. professional team work . advance skill development . job placement program. call us 9099039845, 9607007009, 9975064558. visit us www.maxgentechnologies.com. Address 509 pride icon , near atithi veg restaurant , kharadi pune.

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Data Analysis, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Triple-check some delivery data and ensure client expectations are reflected in every batch. Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI s answers. Correct the model s responses based on your domain-specific knowledge. Ensure taxonomies are logical, consistent, and aligned with operational needs. You have a Bachelor s degree in Statistics, Computer Science, Information Systems, Data Science, Mathematics. You have at least 3 years of professional experience in Data Analysis. You have experience with prompt engineering (basic to intermediate level) and have Basic-to-Intermediate Python Scripting and SQL understanding. You are proficient in spreadsheet tools such as Google Sheets, Excel. You have experience with interpreting data visualization & reporting (e.g., dashboards). You have a strong command of taxonomy and classification design. Your level of English is advanced (C1) or above . You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Apply now Apply now Apply Now Start applying with LinkedIn Start Please wait... Senior Technician Date: May 23, 2025 Location: GB Company: Bekaert NV Be part of something bigger! As the world and the way people live is changing, we at Bekaert believe it s our responsibility to contribute to finding new solutions for the future. With a 140+ year old heritage of excellence, innovation, and a future-focused mindset, we strive to create value for our customers and society. We aim to do this through innovative solutions and sustainable practices. We are committed to pushing the boundaries of steel wire transformation and coatings whilst also leveraging our expertise to develop innovative solutions with new materials and services in a safe, smart, and sustainable way. Our focus extends to markets such as new mobility, low-carbon construction, and green energy. As a dynamic and growing company with over 24 000 employees worldwide, 75 nationalities, a retention rate above 90% and almost 5.3 billion in combined revenue in 2023, we are looking for someone like you to join our team as we continue to shape a safer, more efficient, and connected world Flintstone Technology is a dynamic engineering company based in Dundee, Scotland, specializing in the design and manufacture of innovative permanent mooring solutions for the global energy sector. Since its founding in 2012, Flintstone has built a reputation for delivering high-performance solutions including hull and seabed connectors and tensioning systems. Now part of the Bekaert Group, Flintstone operates with the agility of a small team currently around 16 employees while benefiting from the backing of a global industrial leader. The company fosters a collaborative and forward-thinking culture, where every team member plays a vital role in driving innovation and delivering excellence to clients worldwide. Purpose and Mission Responsible for leading the development, implementation, and optimization of manufacturing processes and product technologies across a business unit. This role involves strategic planning, innovation, and collaboration with various departments to ensure the company s products and processes are at the forefront of industry standards. Key Activities and Responsibilities Strategic Leadership: develop and execute strategies for process and product technology to support the BU s overall business objectives. Innovation: drive innovation in process and product development, ensuring the adoption of cutting-edge technologies and methodologies. Process Optimization: oversee the optimization of manufacturing processes to improve efficiency, quality, and cost-effectiveness. Product Development: lead the development and enhancement of products, ensuring they meet market demands and regulatory requirements. Cross-Functional Collaboration: work closely with RD, engineering, production, and quality assurance teams to ensure seamless integration of new technologies and processes. Data Analysis: utilize data analytics to monitor process performance and identify areas for improvement. Quality Assurance: ensure all processes and products comply with industry standards and regulatory requirements. Budget Management: manage budgets for process and product technology initiatives, ensuring cost-effective solutions. Talent Development: mentor and develop a high-performing team of engineers and technologists. Skills Strong leadership skills with the ability to inspire and guide teams. Deep understanding of manufacturing processes, product development, and technology trends. Excellent analytical skills to interpret data and drive decision-making. Effective communication skills for collaboration with cross-functional teams and reporting to senior management. Ability to drive innovation and adopt new technologies. Proficiency in project management to oversee complex initiatives. Previous Experience Minimum 15 years of experience in process and product technology, preferably in a leadership role. Proven track record of driving process improvements and product innovations. Strong understanding of industry standards and regulatory requirements. Qualifications and Education Master s degree in Engineering, Technology, or a related field. Be bold and take the leap! Were looking for individuals who are not afraid to take risks and explore new ideas. If you are passionate about personal growth and bringing your authentic self to work, we want you on our team! At Bekaert, we celebrate diversity and are committed to creating an inclusive work environment. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. To learn more about us and our exciting career opportunities, visit Bekaert Careers Job Segment: Product Development, QA, Quality Assurance, Sustainability, Data Analyst, Research, Technology, Energy, Quality, Data Apply now

Digital Wallet Resources We are looking for a highly skilled Agronomist (Data Analyst) to join our team in Ahmedabad. This role requires a strong background in Agronomy and expertise in data analysis to assess satellite data, soil testing reports, and other agronomic data. The ideal candidate will have the ability to correlate data from various sources (such as NDVI and soil reports), identify farming issues, and provide actionable solutions. Key Responsibilities: Data Analysis : Analyze satellite data, soil testing reports, and other agronomic data to monitor farm health and productivity. Correlation of Data : Correlate different types of agronomic data (such as NDVI , soil reports, etc.) to identify farming problems and suggest possible solutions. Problem Identification : Analyze the data to identify problems related to soil health, crop performance, pest infestations, etc., and propose practical solutions. Reporting : Prepare detailed reports with actionable insights based on data analysis for farmers, FPOs (Farmer Producer Organizations), and internal teams. Collaboration : Work closely with the agronomy team to provide data-driven recommendations for improving farming practices. Monitoring Trends : Track long-term data trends and provide insights into crop performance, soil health, and other key metrics. Requirements: 3+ years of experience in Agronomy or Agriculture Data Analysis , with a focus on soil testing and remote sensing data . Strong understanding of soil testing reports , NDVI , and other relevant agronomic data sources. Experience with data analysis tools for processing satellite data and agronomic reports. Ability to identify farming problems and solutions based on data correlation and analysis. A degree in Agronomy , Agriculture , or a related field. Strong analytical skills and attention to detail when interpreting complex data. Excellent communication skills to present findings clearly and work with internal and external stakeholders. Ability to work independently and manage projects efficiently. Preferred Qualities: Knowledge of remote sensing technologies and how to apply them in agriculture. Passion for sustainable farming and data-driven solutions for agricultural improvement. Strong problem-solving skills with the ability to turn complex data into actionable insights.

Rupiya Finnovations is looking for Agronomist ( Data Analyst ) to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

Description: Boyd's Sales Operations Analyst mission is to enable data backed decision making. Our team wants a candidate who is interested in changing the way our company does business from the inside out. You will own corporate & executive internal reporting. Provide actionable insights and visibility to global business trends. Work will be organized into daily, weekly, monthly reporting deliverables and often require additional deep dives into certain KPIs where executives may have additional questions or need further insights. You will play a critical role in delivering world class go to market (GTM) reporting to all team members of the sales and GTM organization. Shift Timing : 2:00 PM to 11:00 PM Role Description: Identify gaps & provide recommendations for data quality improvements including process changes & data cleansing (ETL). Work closely with leadership and sales team to identify systems, data, or process needs that can drive revenue growth; with a goal of streamlining the sales process. Drive process improvement initiatives. Identify gaps and conduct feedback sessions with sales representatives to improve sales. Manage system data and other integrations. Understand the Account Management, Opportunity Management & Pipeline forecasting. Support and improve the pipeline metrics insights and reporting. Support and produce weekly, monthly, and quarterly sales reporting deliverables to the organization. Owning and executing the corrections required out of the reconciliation of reports. Administration and support of system application, timely resolution of requests. Ability to identify, troubleshoot, diagnose & respond to issues and requests. Analyze and develop sales operations policies and procedures for better sales optimization. Engage with the sales team to identify opportunities for improvement and conversions. Develop and own standard sales reporting that provides transparency into the business, and proactively identify risks and opportunities to our sustained revenue growth Aptitude for framing business questions with data, translating business needs into strategies, and executing tactics and process improvements. Take charge as a primary liaison on sales force automation projects/trends. Ensure everyday sales operation tasks are aligned with organizations sales goals and objectives Recognize patterns in data and devise unconventional out-of-the-box solutions for each step of the sales funnel Examine past data and previous trends to help the sales function with identifying any issues with the existing sales process, pipeline, and metrics while finding the best solutions. Key Requirements: Ability to communicate in English both written and verbal. Working experience in B2B product workspace preferably as Sales Operation Analyst. In-depth understanding of multiple functions, such as product management, marketing, and data management, data analytics, etc. Proven ability to manage large sets of data, analyze and derive insights-based sales operation metrics. Technical expertise with CRMs, business intel platforms, and data modelling/Data Visualization is a bonus! Ability to work with cross-functional and cross-cultural teams as you will act as an advocate for the sales team in many instances. We are a global company, and you may be required to work with different team members in different time zones and locales. Ability to work in varied shift arrangements. Nice to Have: experience with contracts, user provisioning and/or order to cash process Nice to Have: experience with Salesforce.com or another like CRM system

We are seeking a highly skilled Data Analyst with expertise in the Domo tool to join our dynamic team. In this role, you will work closely with stakeholders to understand business needs, analyze data, and provide actionable insights through data-driven reports and visualizations. You will leverage Domo for data integration, dashboard creation, and reporting. - Domo Experience: Proven experience working with Domo for creating data visualizations, dashboards, and managing data integrations. (Mandatory) -Addition Tableau Experience for building and maintaining dashboards, reports, and visualizations.