916 Data Analyst Jobs - Page 16

Job Description Functional Activities Analys historical operational data to support effective flight scheduling. Assist in Conducting seasonal & Ad hoc Block time analysis for FSC and LCC. Collaborates with Ground Ops, Engineering, Flight Ops, and other teams. Builds and automates dashboards and KPI trackers for real-time monitoring. Creates interactive reports using Power BI. Provides strategic, data-driven insights to leadership. Any other additional responsibility could be assigned to the role holder from time to time as a standalone project or regular work. The same would be suitably represented in the Primary responsibilities and agreed between the incumbent, reporting officer and HR. Minimum Education Requirement Graduate - BTECH / Statistical / Mathematical background. Minimum Experience 2+years of previous experience in flight planning/ OTP management in the aviation industry. Advanced proficiency in data analysis tools is an added advantage.

Join Swiss Re as a Data Analyst and turn complex data into actionable intelligence. Youll collaborate across global teams, streamline operational performance, and support strategic decision-making with your analytical expertise. If youre passionate about data, curious by nature, and eager to make a difference in a dynamic environment - this is your opportunity. About the role Together with PSS Operations Lead, you will play a key role in supporting PSS data-driven decision-making processes by developing and maintaining robust data models, automated pipelines, and analytical tools. The role requires both technical fluency and a sharp analytical mindset to convert complex data into meaningful insights for PSS Client Managers. Key responsibilities: Data Processing: Implement big data processing workflows and pipelines to handle large-scale datasets efficiently. Model Development and Maintenance : Design, develop, test deploy, retrain learning models and algorithms to solve complex business problems in collaboration with other Swiss Re teams to optimize PSS delivery for business growth. Automation: Promote and implement best practices to develop automated data extraction solutions for pipeline and pricing data. Assess new and promising technologies from the GenAI within group. Platform Management: Maintain and enhance our data platforms to ensure high performance and reliability. Collaboration: Work closely with business stakeholders to understand their needs, provide insights, and deliver tailored solutions. KPI Tracking: Support management to deliver on business goals. About the Team Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind. About You Degree in Computer Science, Data Science, Finance, or related field 4+ years of experience as a Business Analyst, Data Engineer, or similar role Strong proficiency in Excel, including advanced modelling and macros Experience in data modelling and API design Practical experience in building automated data transformation workflows and pipelines Strong technical and quantitative skills; proficient with tools for data analytics and reporting Excellent analytical and problem-solving skills with strong attention to detail Proven ability to communicate complex data in an accessible and actionable way Comfortable working under pressure, handling multiple tasks, and managing diverse stakeholder needs Self-starter with the ability to work independently with minimal direction Positive, goal-oriented mindset with a "can-do" attitude Fluent in English; additional languages are a plus #LI-Hybrid About Swiss Re Corporate Solutions Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime. Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134734

This internship provides a platform to apply data analytics and research expertise to projects in transportation, government policy, and logistics. Type: Internship for 4 to 6 Months (with potential for a permanent role)

Description Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Our Search Ops organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. We are looking for highly motivated and talented candidates who will provide and/or review high quality data annotation for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence. Key job responsibilities Responsibilities As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and will require the candidate to make quick decisions keeping in mind the provided guidelines. Your key responsibilities will include (but not limited to) the below: Meets business metrics and goals, i.e., SLA, production, and quality targets Maintains records of day- to-day work by updating trackers or workflow tools as necessary Follows SOP/guidelines or manager's instructions and ensures output is quality compliant Contributes to project improvement and operational excellence ideas, as applicable Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Troubleshooting issues related to process and conduct root cause analysis if required Basic Qualifications Graduate or equivalent Candidate must demonstrate language proficiency in Japanese language in all of the following: verbal, writing, reading and comprehension. Required language level: JLPT N3 or above/BA in Japanese Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry)

Description GSF Central Operations (GSF-CO), part of the Network Operations Center (NOC), acts as the Command-and-Control center for the GSF operations in IN, SG and MENA. Team supports multiple lines of businesses such as (a) Amazon Fresh i. Ultra-Fast Fresh (UFF) & ii. Hybrid 3P; (b) Sub-Same Day (SSD) across last mile, first mile, distribution centers, Supply Chain and (c) Amazon Now AKA Project Tez which is the Quick Commerce arm of amazon.in. In Addition, GSF CO manages delivery operations of More Super and Hyper Market (MSM) located in T10+ cities, remotely, where the scope includes order assignment, exception monitoring, COD reconciliation and BTO Scans. Apart from IN, GSF CO also supports Fresh, SSD & Quick Commerce (QC) operations in AE & SG geographies. As a Manager I, GSF CO, This Role Will Manage operations across 250+ 3P stores centrally Partner with business teams to make sure all network goals are trending above goal Learn end to end fresh tools and act as SME to ops network Coordinate with internal teams to drive internal defect reduction work streams across wider organization Manage a team of 15+ employees and their overall growth Partner with stakeholders and/or managers to secure resources, scope efforts, set project priorities, milestones, and drive delivery to meet deadlines to meet program goals. Be proficient at transforming raw thoughts into clear, consistent, accurate documentation and/or direction. Competently represent your team's processes and goals to customers and other teams (technical and non-technical). Keep the scope of effort under control and accelerate progress, or operational efficiencies by driving crisp and timely decisions, identifying and clearing blockers, and escalating appropriately. Improve team processes and metrics; unblock delivery and reduce costs. Scope out team's career development plans through performance assessment Own project status communication- consistently impart clear and concise summaries for the projects owned, to your leadership/management team and are effective at answering questions in detail. Represent the team in Business reviews (WBRs/MBRs) Have good working relationships with stakeholders, managers, and peers. Be able to recognize discordant views and take part in constructive dialogue to resolve them. Basic Qualifications 1+ years of employee and performance management experience Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays Can push and pull wheeled dollies loaded with products up to 100 pounds during shifts Preferred Qualifications 1+ years of performance metrics, process improvement or lean techniques experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company - ASSPL - Telangana Job ID: A2904511

Key job responsibilities An Ideal Candidate For This Role Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have good business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately Will be very comfortable juggling competing priorities and handling ambiguity Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About The Team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its compliance team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. Basic Qualifications 3+ years of business analyst, data analyst or similar role experience 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL Experience making business recommendations and influencing stakeholders Preferred Qualifications Experience using large datasets Basic to Intermediate Python knowledge is a plus.

About Amazon MX Player Amazon and MX Player recently merged to create a dominant force in India's free AVOD (Ad-Supported Video on Demand) space. With over 250 million users, Amazon MX Player is positioned to lead the future of the free streaming landscape in India, bringing premium entertainment to a wide audience. As part of this exciting venture, Amazon MX Player is looking for a Senior Creative Leader to help shape the brand and creative direction for its upcoming show slate. This is an incredible opportunity for a creative visionary who thrives in a fast-paced, start-up-like environment and is passionate about building innovative marketing campaigns to attract viewers. Read more about the service: Amazon and MX Player Merger Announcement Economic Times Article on the Merger Key Responsibilities As a Senior Creative Leader , you will be responsible for leading the creative development and execution of marketing campaigns for Amazon MX Player s new show slate. You will work closely with various teams to ensure the content resonates with the target audience and drives viewership. Creative Leadership : Lead creative brainstorming sessions and contribute innovative ideas to shape campaigns and bring the Amazon MX Player brand to life. Develop and oversee the execution of creative concepts for the marketing of upcoming shows, focusing on breaking through the clutter and building strong viewer interest. Brand Development : Shape and evolve the Amazon MX Player brand, ensuring it resonates with the growing and diverse user base in India. Drive cross-functional collaboration to ensure consistency in messaging and creative execution across different channels. Campaign Strategy : Collaborate with marketing and product teams to design and execute high-impact campaigns that will resonate with users and boost viewership. Analyze audience behaviour, TV/video viewership patterns, and user data to develop strategies that attract and retain viewers. Metrics & Insights : Leverage data and analytics to assess the effectiveness of marketing campaigns and identify areas for improvement. Use insights from viewership patterns and audience feedback to continuously optimize creative strategies. Leadership & Stakeholder Communication : Manage relationships with key stakeholders, including internal teams and external agencies, to align on creative vision and execution. Effectively communicate creative concepts and results to senior leadership. Basic Qualifications Bachelor's degree or equivalent experience. 2+ years of experience as a Business Analyst , Data Analyst , or in a similar role, with a focus on driving insights and influencing business decisions. Proficiency in data visualization tools such as Tableau , Quicksight , or similar platforms. Experience working with SQL to extract and manipulate data. Experience with business recommendations , utilizing data to influence key stakeholders and decisions. Preferred Qualifications Expert-level knowledge of SQL and strong analytical skills. Strong interpersonal, written, and oral communication skills . Advanced skills in financial modeling and analytical thinking . Experience in digital media and entertainment marketing would be an added advantage. Inclusive Culture Amazon is committed to building an inclusive and diverse culture where every employee feels empowered to deliver exceptional results for customers. If you have a disability and need accommodations or adjustments during the hiring process, including during interviews or onboarding, please visit Amazon Accommodations for more information. If the country or region you are applying from is not listed, please contact your Recruiting Partner.

Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Track MIS & lead quality Run SMS/Email campaigns Boost conversions & cross-sell Analyze location-wise data to track conversion trends. Keep associates informed on policy updates. Improve conversions from existing data.

Job Title: Sr Data Analyst Job Summary: We are seeking a highly skilled Visualization Expert with deep expertise in Tableau and practical experience in Databricks integration to join our data team. The ideal candidate will play a pivotal role in transforming complex data into actionable insights through engaging dashboards and reports, while ensuring seamless data pipelines and optimized connections between Databricks and Tableau. Key Responsibilities: Design, develop, and maintain advanced Tableau dashboards and visualizations to support business decision-making. Integrate Tableau with Databricks to access and visualize data efficiently from Delta Lake, Spark, and other sources. Collaborate with data engineers, analysts, and stakeholders to understand business needs and translate them into visualization solutions. Optimize Tableau extracts and live connections for performance and scalability. Develop and document best practices for visualization design, data governance, and dashboard deployment. Ensure data accuracy, reliability, and security in visualizations. Stay current with Tableau and Databricks features, and implement new capabilities where beneficial. Required Qualifications: Bachelors or Master’s degree in Computer Science, Information Systems, Data Science, or related field. 5+ years of experience building Tableau dashboards and visualizations. 1+ years of hands-on experience integrating Tableau with Databricks (including SQL, Delta Lake, and Spark environments). Strong understanding of data modeling, ETL processes, and analytics workflows. Proficient in writing optimized SQL queries. Experience with Tableau Server or Tableau Cloud deployment and administration. Ability to work with large datasets and troubleshoot performance issues. Preferred Qualifications: Experience with scripting or automation tools (e.g., Python, DBT). Familiarity with other BI tools and cloud platforms (e.g., Power BI, AWS, Azure). Tableau certification (Desktop Specialist/Professional or Server). Understanding of data privacy and compliance standards (e.g., GDPR, HIPAA). Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Detail-oriented with a strong focus on data accuracy and user experience. Comfortable working independently and collaboratively in a fast-paced environment.

Azurity Pharmaceuticals is a specialty pharmaceutical company dedicated to developing innovative products for underserved patients. Leveraging our integrated capabilities and extensive partner network, we continuously expand our commercial product portfolio and late-stage pipeline. Our patient-centric products cover various markets such as cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, positively impacting millions of patients. We are committed to providing unique, accessible, and high-quality medications to improve patients" lives. For more information, please visit www.azurity.com. We take pride in fostering an inclusive workplace and being an Equal Opportunity Employer. Our success is a result of our talented and dedicated team that prioritizes patients" well-being by incorporating the best science and quality commitment into all our endeavors. We are looking for individuals who are highly motivated, possess integrity, dedication, and a creative spirit to excel in our organization. We are currently looking for a Data Analyst to join our dynamic Supply Chain team. As a Data Analyst, you will play a crucial role in optimizing our supply chain operations by utilizing data to drive decision-making. Your responsibilities will include collecting, cleaning, and preparing datasets, developing data processing models, creating dashboards, and generating insights to enhance efficiency, cost-effectiveness, and ensure the timely delivery of medications. Key Responsibilities: - Assist in collecting, cleaning, and preparing datasets relevant to supply chain operations. - Develop and maintain data processing methods using tools like advanced excel, PowerBi, and DAX language. - Create and maintain dashboards and visualizations using Power BI and Microsoft Tools. - Collaborate with the Supply Chain team to understand business needs and translate them into analytical requirements. - Support ad-hoc data analysis requests and contribute to report generation for decision-making. - Drive continuous improvement of business processes, reports, and metrics. - Support the team in identifying future opportunities in Systems, Tools, and Processes. Qualifications And Education Requirements: - Bachelor's degree in data science, Statistics, Supply Chain Management, Computer Science, Engineering, or a related field. - Proficiency in DAX programming language and Microsoft Suite tools (Lists, Power Automate, Flows & Forms). - Strong analytical and problem-solving skills with the ability to interpret complex data. - Attention to detail and a commitment to data accuracy. - Basic understanding of Supply Chain in the Pharmaceutical industry and inventory management. - Familiarity with forecasting techniques and inventory optimization concepts is advantageous. By applying for this role, you confirm that you can fulfill the job responsibilities detailed in the job description without any restrictions. If you have any concerns or disabilities that may affect your ability to perform the job, please inform HR in advance.,

Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients" most complex digital transformation needs. With over 230,000 employees and business partners across 65 countries, Wipro helps clients realize their boldest ambitions and build future-ready, sustainable businesses. As a member of the team, you will be responsible for managing daily activities, ensuring achievement of all system and individual Customer Service goals, and managing key performance indicators. You will maintain complete knowledge of service tasks and programs, as well as system and telecommunications capabilities. Additionally, you will be responsible for administrative aspects including reporting. The ideal candidate must possess superior communication skills, both oral and written, as well as strong presentation and interpersonal skills. You should have demonstrated ability to develop and implement process enhancements, including technology and performance. Proficiency in workforce management applications, quality tools, and technologies is essential. Experience in data analysis, goal-setting, managing escalations, and coordinating with delivery managers and L&D POC to plan sessions is required. You must ensure 100% error feedback for critical, major, and minor errors to be shared by all mentors. Quality scores must be met at all times for the workflows mapped to the respective OJT Leads. The mandatory skill for this role is Member Inbound, and the desired experience is 3-5 years. At Wipro, we are reinventing our world and seeking individuals who are inspired by reinvention. We encourage constant evolution, both in your career and skills. Join us at Wipro, a business powered by purpose, where you can design your own reinvention and realize your ambitions. Applications from people with disabilities are explicitly welcome.,

We are looking for a highly analytical and tech-savvy professional with 5-9 years of experience to join our team as a Salesforce CRM & Sales Operations Data Analyst. In this role, you will be responsible for managing and optimizing our Salesforce CRM platform and delivering actionable insights through sales data analysis to enhance performance and operational efficiency. Your key responsibilities will include administering and configuring Salesforce CRM, maintaining data integrity, developing reports and dashboards, collaborating with cross-functional teams for CRM enhancements, providing training and support to users, staying updated with Salesforce updates, analyzing sales performance data, and designing and implementing reports for sales analysis. To be successful in this role, you should have a Bachelor's degree in business, Information Systems, Data Analytics, or a related field, along with 5-7 years of experience in Salesforce administration and/or sales operations analytics. Proficiency in Excel, SQL, and data visualization tools such as Tableau and Power BI is required. A Salesforce Administrator Certification would be preferred. You should have a strong understanding of CRM systems, sales processes, and data governance. Excellent analytical, communication, and problem-solving skills are essential, along with the ability to manage multiple priorities in a fast-paced environment. Good verbal and written communication skills are necessary, and experience in stakeholder management is a must. If you are someone who thrives at the intersection of technology, data, and business strategy, and are passionate about driving performance and revenue growth through data analysis, then we look forward to having you join our team as a Salesforce CRM & Sales Operations Data Analyst.,

Position: Senior Data Analyst Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Fulltime Purpose of Position: As a Data Analyst, this role requires a candidate who is enthusiastic about data and driven to help solve the organisation s analytics challenges. As a member of the team, you will support our clients on their data and analytics journey by analyzing data, identifying trends, and generating insights to drive informed decision-making. You will also work on improving data consistency and ensuring that the necessary infrastructure and pipelines are in place to support analytics platforms. Key Result Areas and Activities: Data Analysis and Interpretation: Aggregate, clean, and analyze large datasets to identify trends and insights that address key business challenges. Process Improvement: Identify opportunities for process optimization through data analysis, recommending improvements based on findings. Reporting and Visualization: Create comprehensive reports and dashboards that effectively communicate findings to stakeholders at all levels. Present data-driven insights through compelling visualizations and narratives to support decision-making. Stakeholder Engagement: Work closely with internal and external clients to understand their analytics needs and deliver tailored solutions. Communicate complex analytical concepts in a clear and concise manner to non-technical stakeholders. Work and Technical Expertise: Essential Skills: Proficiency with SQL for data extraction, transformation, and analysis Hands-on experience with Databricks or similar cloud-based data platforms Excellent verbal and written communication skills to present findings effectively Ability to translate complex datasets into meaningful business insights A problem-solving mindset with attention to detail Desirable Skills: Familiarity with Python or other scripting languages for data manipulation Strong Experience in Retail industry is preferred Qualifications: Bachelor s degree in computer science, engineering, or related field (Master s degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team

Job Title Data Analyst Expert Job Description Job title: Data Analyst Expert Your role: Analyzes complex and multi-dimensional datasets across various business units to uncover deep insights that inform high-level strategic decisions and drive business performance. Creates sophisticated data models and predictive analytics using advanced statistical techniques and machine learning algorithms to forecast trends and optimize business outcomes, working under general supervision. Implements scalable ETL (Extract, Transform, Load) pipelines and robust data integration solutions, ensuring data consistency, accuracy, and reliability across the organization. Provides inputs on data architecture and infrastructure improvements, advising on best practices for data storage, retrieval, and management to enhance system performance and scalability. Ensures compliance with global data privacy regulations (such as GDPR and HIPAA) by designing and enforcing comprehensive data governance frameworks and security protocols. Conducts advanced statistical analyses, including hypothesis testing and multivariate analysis, to validate business strategies and provide evidence-based recommendations for process enhancements. Evaluates the effectiveness of implemented data solutions using performance metrics and feedback loops, continuously refining analytical approaches to improve outcomes. Benchmarks existing data analytics tools and technologies, leading the selection and integration of state-of-the-art solutions to maintain a competitive edge and drive innovation. Supports the execution of enterprise-wide data strategies, providing thought leadership and expert guidance in data analytics, business intelligence, and data science methodologies. Identifies opportunities for automation and process optimization, leveraging artificial intelligence, machine learning, and advanced analytics to enhance data processing efficiency and decision-making accuracy. Youre the right fit if: (4 x bullets max) 1. Experience- 5+ Industry Experience in Data Analysis, SQL, ETL 2. Skills: Data Analysis & Interpretation Data Harmonization & Processing Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Research & Analysis Structured Query Language (SQL) Regulatory Compliance 3. Education- Bachelors degree in Any Engineering 4. Anything else- Must have strong communication skill. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company s facilities. Field roles are most effectively done outside of the company s main facilities, generally at the customers or suppliers locations. Indicate if this role is an office/field/onsite role. If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

The group you ll be a part of The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. The impact you ll make Performs statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns. Works with technology organization and business end-users to understand data and analysis needs to develop technical requirements. Partners with development and data management roles to identify and capture data required from internal and external sources. Creates and maintains statistical models for ongoing and ad hoc review and analysis of data. Uses data visualization programs, tools and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns of business importance. May be internal or external, client-focused, working in conjunction with Professional Services and outsourcing functions. May include company-wide, web-enabled solutions. What you ll do Who we re looking for Typically requires a minimum of 8 years of related experience with a Bachelor s degree; or 6 years and a Master s degree; or a PhD with 3 years experience; or equivalent experience. Preferred qualifications Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Job Summary: We are seeking a skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis and visualization, with proven experience in using Tableau and Power BI to transform data into actionable insights. This role requires a detail-oriented individual who can work collaboratively to support data-driven decision-making across the organization. Experience with Streamsets and Databricks is considered an added advantage, with a focus on managing data pipelines and performing advanced analytics. Key Responsibilities: Collect, analyze, and interpret large datasets to identify trends and patterns. Develop and maintain interactive dashboards and reports using Tableau and Power BI. Collaborate with cross-functional teams to understand their data needs and provide solutions. Ensure data accuracy and integrity by performing regular data quality checks. Present findings and insights to stakeholders in a clear and concise manner. Stay updated with the latest trends and best practices in data visualization and analytics. Qualifications: Minimum of 6 years of experience in data analysis and visualization. Proficiency in Tableau and Power BI is required. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information. Excellent communication skills, both written and verbal. Ability to work independently and as part of a team. Experience with SQL and other data manipulation tools is a plus Preferred Skills: Experience in statistical analysis and predictive modeling. Experience with Steamsets and Databricks is added advantage.

Role & responsibilities Prepare high-quality presentations, reports, and executive summaries for the MD, ensuring clarity, accuracy, and visual appeal. Analyze business data and create reports using advanced Excel and Power BI for data visualization and insights. Act as a liaison between the MD and senior stakeholders, maintaining discretion and professionalism with sensitive information. Manage the MD's calendar, scheduling internal and external meetings, resolving conflicts, and ensuring efficient time management. Coordinate domestic and international travel, including flight bookings, accommodation, and itineraries, handling any last-minute changes. Perform additional administrative duties such as correspondence management, event organization, and file maintenance. Preferred candidate profile 3-5 years of experience as an Analyst supporting senior leadership. Strong proficiency in Microsoft Excel, PowerPoint, and Power BI. Excellent organizational, time-management, and communication skills. Ability to handle multiple tasks in a fast-paced environment and manage confidential information with discretion.

Data Analyst-Asst. Manager Purpose of Job The incumbent will be responsible to ensure that Bank complies with AML regulations and provides necessary support to the Compliance function in monitoring of transactions and be adept at handling large datasets efficiently through use of technology. Job Description 1. To do various transaction monitoring activities handling large data sets and detailed analysis throwing exceptional scenarios 2. Identification of typologies pertaining to Money Laundering 3. Extraction, preparation and updation of data for FIU reporting 4. Designing, creating and automating exceptional reports 5. Suggesting controls with corresponding data using AI/ML techniques to control money laundering activities 7. Perform data validation and ensure accuracy and completeness of AML-related datasets. 8. Assist in the development and implementation of AML monitoring systems and tools. Pre-requisites Strong technical background with hands-on in MS-Office (esp. MS-Access and MS-Excel) and specialization in designing queries in SQL Knowledge on AML Analytical and problem solving abilities Good communication skills and collaborate with cross-functional teams to address any data-related issues or requirements Experience Minimum 3 years experience in data analysis with SQL writing abilities; Prior exposure to AML would be an advantage Qualification BCA/MCA/BE/B.Tech. (in Computer Science/IT) or equivalent Minimum 3 years experience in data analysis with SQL writing abilities; Prior exposure to AML would be an advantage

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Must to have : SAS Good to have: Phyton Maps data fields from source systems to the data model, ensuring data consistency and integrity. Analyze customer data to identify trends and patterns, providing actionable insights. Gather, clean, and preprocess customer data from various sources. Use data analysis tools like SAS, SQL, Python Conduct in-depth data assessments to identify data quality issues, inconsistencies, and redundancies. Analyze business requirements to understand data needs and align them with data management strategies. Creates detailed documentation