2674 Data Visualization Jobs - Page 44

At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. 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 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 You will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. 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 TSE (Trustworthy Shopping Experience) FIAT SEPO. The team is being grown to provide insights and provide WFM 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. 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Experience using very large datasets

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Translate business problems into analytical requirements and define expected output 2) Create analytical approach to solve the problem inline with stakeholder expectation 3) Be the domain expert and have knowledge of data availability from various sources. 4) Execute solution with scalable development practices in scripting, data extraction and data visualization 5) Triangulate data from multiple sources to ensure data fidelity 6) Responsible for deep-dive analysis on key metrics 7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc. A day in the life 1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis 3) Derive recommendations from analysis 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Communicate analytical insights effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

Job Title: Analytics and Modeling AssociateLocation: Bengaluru Experience: 02 Years Education: 15 Years Full-TimeJob SummaryWe are seeking a motivated Analytics and Modeling Associate to support data-driven decision-making through insightful analysis, statistical modeling, and reporting Ideal for early-career professionals with a passion for data and problem-solving Key ResponsibilitiesCollect, clean, and analyze data to support business goalsBuild and maintain statistical models and dashboards Collaborate with stakeholders to define analytical needsPresent findings and provide actionable insightsSupport continuous improvement through data innovationMust-Have Skills Strong knowledge of Excel, SQL, and Python/R Understanding of statistical modeling and data visualization Familiarity with tools like Power BI / Tableau Excellent analytical and communication skills

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Bengaluru Senior Flexera Data Analyst Data Science India Chennai Data Scientist Data Science India Bengaluru Gurugram, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Gurugram *

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Gurugram Senior Flexera Data Analyst Data Science India Chennai Business Analyst Data Science Poland Remote Poland Bengaluru, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Bengaluru *

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Gurugram Senior Flexera Data Analyst Data Science India Bengaluru Data Scientist Data Science India Bengaluru Chennai, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Chennai *

Looking for a well-rounded Financial Analyst who can provide critical business partner support to our IT / ITes Services Business units. The candidate will be responsible for supporting Executive and Finance team members with data insights, budgets, and forecasts and other ad-hoc analyses. What you ll do: Provide finance support to the business teams regarding productivity, demand planning, reporting, and financial metrics Assist in the preparation of annual budgets and forecasts, variance analyses, long--range financial plans, risk/opportunity assessments, and periodic/ad hoc reporting Collaborate with cross function teams to ensure all reporting and analytics are performed in an accurate and timely manner. Develop and maintain financial models for business unit that impact the entire organization Partner with cross-functional teams during the close process, which includes reviewing departmental general ledgers, recording transactional activity, preparing revenue and expense accruals, and providing P&L and variance explanations to budget and forecasts Ensure timely and accurate reporting and analysis of key variances in monthly and quarterly KPIs- Analyse financial data to identify trends, variances, and opportunities for improvement Automate reporting into Power BI along with dashboard building for monthly reporting. Communicate and present actionable business insights to team members through charts, tables, and other data visualization. Designing and developing interactive dashboards and reports Collaborating with stakeholders to understand data needs Analyzing datasets to uncover trends and insights Maintaining data accuracy and integrity within BI systems Translating business requirements into technical specifications What you ll need: Minimum of a bachelor s degree in finance, accounting, or economics with 4-5 years of relevant industry experience Advanced financial modelling and data analysis skills using Microsoft Excel. Knowledge of Power BI (with DAX)/SQL is must . Knowledge of accounting concept is a plus. Knowledge of NetSuite is a plus. Effective communication, presentation skills in a matrixed organization Highly organized and able to handle simultaneous projects, gathering and processing data from multiple sources. Ability to work effectively on multiple projects at the same time. Ability to extrapolate linkages between large amounts of financial and operational data, generate insights and distil complex concepts into actionable information. Able to work independently and with global, cross functional virtual team to consistently deliver flawless work solutions within aggressive and changing time constraints. Who you are: Motivated, high-potential performer, with demonstrated ability to influence and lead. Strong communicator with excellent interpersonal skills Able to solve complex problems and successfully manage ambiguity and unexpected change. Teachable and embracing of best practices and feedback as a means of continuous improvement. Consistently high achiever marked by perseverance, humility, and a positive outlook in the face of

Experience working in large Software Development Teams Knowledge and experience in Agile Delivery mechanisms Work with business stakeholders, SCRUM masters, Designers and testers in SCRUM team. Proficient in English language with ability to lead stakeholder conversations. Experience in generating insights through data and articulating stories addressing business problems. Total Experience Expected: 6-8 years Mandatory Technical Skills: Proficiency in SQL- Windows Function, Python for data analysis. Experience with data visualization tools like Tableau Total Experience Expected: 04-06 years Role: Data Analyst, Skillset: Python, SQL, Tableau, Data Visualization Experience: 6-8 years Location: Noida, Chennai & Pune

Senior Data Engineer II, Business Intelligence & Reporting Gurgaon, Haryana, India AXA XL recognizes digital, data, and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities This data should not only be high quality, but also actionable - enabling AXA XL s executive leadership team to maximize benefits and facilitate sustained dynamic advantage Our Data, Intelligence & Analytics function is focused on driving innovation by optimizing how we leverage digital, data, and AI to drive strategy and differentiate ourselves from the competition As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and strengthening our digital, AI capabilities, we are seeking a Deputy Manager, BI and Reporting In this role, you will support/manage BI & reporting What you ll be DOING Your essential responsibilities include: BI & Reporting Management: Oversee and support Business Intelligence (BI) and Reporting products, ensuring their effectiveness and alignment with organizational goals Stakeholder Engagement: Manage Business as Usual (BAU) activities for BI and Reporting, fostering effective communication and relationships with stakeholders to understand their needs and expectations Model Integration: Energize and synergize various Business Intelligence models and reporting systems to enhance data insights and reporting capabilities Strategic Initiative Support: Collaborate with the Data Intelligence and Analytics (DIA) team on various strategic initiatives, enabling the development of BI and Reporting functions and related capabilities Talent Development: Foster the growth of BI and Reporting talent across AXA XL by promoting an inclusive and diverse environment that encourages the utilization and value creation of our strategic digital, data, and analytics assets Customer-Centric Culture: Instill a customer-first mindset within the team, prioritizing exceptional service for business stakeholders and ensuring their needs are met Team Development: Contribute to the enhancement of the Business Intelligence teams tools, skills, and culture, driving positive impacts on team performance and outcomes You will report to Senior Manager, Business Intelligence & Reporting What you will BRING At AXA XL, we view individuals holistically through their People, Business, and Technical Skills We re interested in what you bring, how you think, and your potential for growth We value diverse backgrounds and perspectives, recognizing that each person contributes uniquely to our teams success We value relevant education and experience in a related field Additionally, we encourage candidates with diverse educational backgrounds or equivalent experience to apply Here are some of the key skills important for the role: People Skills Customer Centricity: Brings a collaborative spirit, a can-do attitude, and a Customer First mindset, ensuring that stakeholder needs are prioritized Cross-Functional Collaboration: Ability to communicate effectively with teams, peers, and stakeholders across the globe, fostering collaboration and understanding Able to help and guide team members on technical issues, fostering their development and promoting self-directed problem-solving Growth Mindset: Passion for digital, data, and AI, along with a commitment to personal and team development in a digital and data-driven organization Resilience: Ability to lead a project or team, demonstrating adaptability and leadership under various circumstances Analytical & Strategic Mindset: Ability to analyze data effectively and develop strategic insights that drive decision-making and improve business outcomes Performance Excellence: Commitment to delivering high-quality results and continuously improving processes and performance metrics within the team BUSINESS Skills Business & Insurance Acumen: Ability to showcase relevant industry knowledge supporting multiple specialty areas of Data and Analytics Stakeholder Management: Ability to manage stakeholders effectively, understanding their needs and ensuring clear communication and support Simplifies Complexity: Ability to distill complex data concepts and analyses into clear, actionable insights for stakeholders Ensuring that technical information is accessible, enabling informed decision-making and fostering collaboration between technical and non-technical teams TECHNICAL Skills Data Visualization: Experience with end-user BI tools like Power BI, enabling effective presentation and visualization of data insights Reporting Tools: Proficincy in SQL, Advanced Excel, MS Access, and VBA, allowing for effective data manipulation and reporting Data Analytics: Ability to help and guide team members on technical issues, fostering skill development within the team to self-directedly manage data analytics tasks

Senior Analyst, BI Solution Design & Transformation Gurgaon/ Bangalore, India AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities This data should not only be high quality, but also actionable - enabling AXA XL s executive leadership team to maximize benefits and facilitate sustained advantage Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking an Assistant Manager for our Business Intelligence team The role will support the team s efforts towards reporting transformation project (especially for Ceded Re business) and handling customer requests/enhancements This role requires a person that is a team player, can work well with team members from other disciplines to deliver data in an efficient and strategic manner What you ll be DOING What will your essential responsibilities include: Business Intelligence Management: Oversee and manage Business Intelligence (BI) and Reporting activities, ensuring smooth operations and effective stakeholder engagement Product Support and Management: Support and enhance BI and Reporting products, driving improvements that align with organizational goals and stakeholder needs Model Integration and Optimization: Energize and synergize various Business Intelligence models and reporting frameworks to enhance data insights and reporting effectiveness Strategic Initiative Support: Collaborate with the IDA team on various strategic initiatives, facilitating the development of BI and Reporting functions and related capabilities as they arise Talent Development: Foster the growth of BI and Reporting talent across AXA XL by promoting an inclusive and diverse environment that enhances the utilization and value creation of our digital, data, and analytics assets Customer-Centric Culture: Instill a customer-first mentality within the team, prioritizing exceptional service and responsiveness to the needs of business stakeholders Team Development and Culture Building: Contribute to the enhancement of the Business Intelligence team s tools, skills, and culture, driving positive impacts on team performance and outcomes You will report to the Senior Manager, Business Intelligence & Reporting What you will BRING At AXA XL, we view individuals holistically through their People, Business, and Technical Skills We re interested in what you bring, how you think, and your potential for growth We value diverse backgrounds and perspectives, recognizing that each person contributes uniquely to our teams success We value relevant education and experience in a related field Additionally, we encourage candidates with diverse educational backgrounds or equivalent experience to apply Here are some of the key skills important for the role: PEOPLE Skills Customer Centricity: Brings a collaborative spirit, a can-do attitude, and a Customer First mindset, ensuring that stakeholder needs are prioritized Agility: Ability to communicate effectively within teams, peers, and across global teams, adapting to changing circumstances and stakeholder needs Growth Mindset: Passion for digital, data, and AI, demonstrating a commitment to continuous learning and development in a digital and data-driven organization Resilience: Ability to help and guide team members on technical issues, fostering their development so that the team can Self-directedly manage challenges Performance Excellence: Relevant years of experience in a data role (analytics or engineering) supporting multiple specialty areas of Data and Analytics, showcasing a excellent track record of high performance Cross-Functional Collaboration: Ability to effectively manage stakeholders and collaborate across various teams to achieve common goals BUSINESS Skills Ethical Judgment: Understanding of ethical considerations in data management and business practices, ensuring integrity in decision-making Digital Literacy: Relevant years of end-user experience with BI tools like Power BI, including the Report Builder tool, demonstrating proficiency in utilizing digital tools for data analysis Business & Insurance Acumen: A foundational understanding of general business concepts and principles, with an openness to learning about the insurance or financial services industry, providing a basis for growth in the role TECHNICAL Skills Data Analytics: Intermediate proficiency in SQL, Advanced Excel, MS Access, and VBA, enabling effective data manipulation and analysis Reporting Tools: Extensive experience in building and managing data models in Power BI, contributing to effective reporting and insights generation Data Visualization: Proficiency in utilizing BI tools to create meaningful visualizations that drive insights and support decision-making

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Provide the business with analytic tools and insights that drive growth and/or productivity. Provide technical leadership for analytics community via forward thinking attitude, use of cutting-edge tools and approaches and business consulting. Individual should help shape business and analytics strategies for our business units globally. Key Responsibilities Bringing new tools to the business; leading data mining and analytics, interpreting and reporting of large integrated data sets built with structured and unstructured data; developing tools to leverage new proprietary data sources. Statistical model building and deployment in the areas of forecasting, marketing mix, machine learning/AI, etc. Continuously seeking out industry best practices and skills development to create new capabilities for data analytics at McCormick to drive marketing strategy. May include managing/coaching direct reports to enable responsibilities above. Required Qualifications & Experience Bachelor s or Master s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field. Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models; Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales and a working knowledge of practices in other areas including Finance and Supply Chain. Demonstrated ability to connect the dots between complex data/analytics and business understanding. Expertise in data management, integration & harmonization. Expertise in SQL, coding in one or more languages (R & Python preferred) Experience with data visualization software (Tableau preferred) Comfortable working with structured and unstructured data sources, including syndicated data, SAP Strong technical curiosity and passion for problem solving and innovation Interpersonal Skills Strong global cross-functional leadership, influence, communication and teamwork skills. Ability to manage multiple priorities simultaneously and foresee and address issues before they become significant obstacles WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Understand the business needs of the customer and assess the impact of those needs in order to communicate and implement the recommended efficient solutions. What will your job look like Analyst, Recommendation & Analytics: Primary Skills Maintain and enhance SAS RTDM (Real-Time Decision Manager) workflows for decisioning logic and customer treatment strategies. Secondary - Develop and design and execute marketing campaigns using SQL, and SAS CI360, SAS Direct. Maintain and enhance existing SAS Direct campaign configurations and ensure timely campaign execution. Technologies -SAS Direct, SAS CI 360, BI Tools" All you need is... Degree in Computer Science or Industrial Engineering & Management - Information System. Customer-facing experience - ability to communicate the Amdocs solution using various methods (presentations, demos, and so on). Wide knowledge of relevant products and E2E Business process. Knowledge of the telecom industry and Amdocs business processes (ETOM, ASOM). Experience in managing a team in cross-Amdocs domain solutions. Why you will love this job: Use your outstanding business analysis skills to make a significant impact on leading solutions that produce the most efficient product solutions. Be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development! You will have the opportunity to work in multinational environment for the global market leader in its field. We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 6-10 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

The Lead - Sales Analytics will be responsible for delivering data-driven insights that optimize sales performance, enhance forecasting accuracy, and drive opportunity pipeline growth. This role translates complex data into actionable intelligence, enabling leadership to make informed strategic decisions. Key Responsibilities: Develop and execute a sales intelligence strategy, leveraging analytics across various IT platforms and applications including SFDC to optimize sales operations. Own and enhance sales reporting, analytics, and scorecards, ensuring visibility into lead and lag key performance indicators (KPIs) and revenue-driving metrics. Design and implement real-time SFDC dashboards and performance tracking mechanisms, ensuring sales teams have access to critical insights on demand. Lead pipeline analysis and data-driven sales forecasting, enabling proactive decision-making and resource allocation. Partner with sales leadership to identify trends, gaps, and opportunities, providing strategic recommendations for growth and efficiency. Facilitate Account governance frameworks to ensure account growth targets are met. Leverage advanced an alytics and AI-driven insights to drive sales effectiveness, customer engagement, and revenue acceleration. Qualifications: Bachelor s degree in Business, Data Analytics, Finance, or a related field. 7+ years of experience in sales analytics, business intelligence, or revenue operations. Expertise in data visualization tools (Power BI, Tableau) and Salesforce SFDC. Strong analytical mindset with a proven ability to translate data into actionable business strategies. Experience in forecasting methodologies, predictive analytics, and revenue modelling.

Job Summary: This role collaborates across client teams to uncover, synthesize, analyze, and present critical information, supporting the team to identify insights and shape recommendations. The consultant will translate data analysis into a cohesive narrative, presenting findings clearly to both the team and clients. This position provides analytical support to the Enterprise Effectiveness team and requires excellent customer service and a proactive, problem-solving approach. The ideal candidate possesses a strong analytical mindset with the intuition to ask clarifying questions to uncover deeper insights. Essential Responsibilities: Manage the entire analysis process from inception to completion, including advising on data nuances, providing suggestions on methodology, and preserving data security and integrity. Define the design and layout of each analysis, working with clients to ensure data accuracy and quality. This includes conducting market research and performing rigorous data analysis. Develop compelling visualizations within PowerPoint and Excel. Conduct research, data analysis, and benchmarking to inform decision-making. Support the development of strategic recommendations for internal business challenges. Assist in preparing executive-level presentations and reports. Analyze workflows, identify inefficiencies, and propose process enhancements. Support implementation of leading practices to improve business performance. Assist in financial/business modeling, business case development, and cost-benefit analysis. Use data analytics to generate insights and support internal projects. Monitor trends and provide actionable insights to leadership. Support client and customer immersion activities, including stakeholder interviews and market research. Develop compelling presentations with a clear point of view, using formats such as PowerPoint. Clearly articulate findings and recommendations in a concise and impactful manner. Work effectively with teams across multiple departments to execute strategic initiatives. Assist in project management, including tracking deliverables and coordinating stakeholders. Support project teams in driving change management. Education: Bachelors degree in business, Engineering, or a related field (or equivalent experience). Experience: Overall Experience looking for 10 -15 Years with project management role. Required: 2 years in strategy, operations, M&A, organizational development, general management, or a related field within a consulting firm or other professional environment. Preferred: Experience working in complex, matrixed environments or in the US Healthcare, Insurance industry. Skills: Ability to synthesize analysis, recommend actions, and prioritize next steps. Demonstrated ability to exercise initiative, independent judgment, and be a self-starter. Advanced knowledge of Excel and PowerPoint, including data visualization techniques. Strong written and oral communication skills. Solid organizational skills and meticulous attention to detail. Demonstrated ability to use complex and interrelated data to generate insights. Strong analytical and problem-solving skills; intuition to ask clarifying questions where ambiguity exists. Ability to translate data analysis into a cohesive story via presentations. Ability to work independently while collaborating with global teams.

Position Summary Overall 12+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Job Responsibilities Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Education BE/B.Tech Master of Computer Application Work Experience Overall 12+ years of strong hands-on experience with DWH/ETL for enterprise grade applications Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Lifescience Knowledge AWS Data Pipeline Azure Data Factory Data Governance Data Modelling Data Privacy Data Security Data Validation Testing Tools Data Visualisation Databricks Snowflake Amazon Redshift MS SQL Server Performance Testing

Position Summary This is the Requisition for Employee Referrals Campaign and JD is Generic. We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise. Job Responsibilities He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments. Technical Design and Development – Expertise in any of the following skills. Any ETL tools (Informatica, Talend, Matillion, Data Stage), andhosting technologies like the AWS stack (Redshift, EC2) is mandatory. Any BI toolsamong Tablau, Qlik & Power BI and MSTR. Informatica MDM, Customer Data Management. Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must. Experience across Python, PySpark and Unix/Linux Shell Scripting. Project Managementis must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan. Task Management – Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model. Handle Client Relationship – Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan. Should have excellent communication skills. Education Bachelor of Technology Master's Equivalent - Engineering Work Experience Overall, 5- 7years of relevant experience inData Warehousing, Data management projects with some experience in the Pharma domain. We are hiring for following roles across Data management tech stacks - ETL toolsamong Informatica, IICS/Snowflake,Python& Matillion and other Cloud ETL. BI toolsamong Power BI and Tableau. MDM - Informatica/ Raltio, Customer Data Management. Azure cloud Developer using Data Factory and Databricks Data Modeler-Modelling of data - understanding source data, creating data models for landing, integration. Python/PySpark -Spark/ PySpark Design, Development, and Deployment

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

• Communicate with Planners/Buyers on Po creation requirements. • Monitor and collect data on Supplier KPI (Extra) • Purchase order creation, Amendment and follow ups on weekly basis • Quantitative analysis expertise • Critical thinking skills

Hi, We are hiring for the ITES Company for ISC Analytics Role. Overview The ISC Analytics team plays a key role in delivering business intelligence solutions that support data-driven decision-making across sourcing, procurement, and supply chain functions. It focuses on delivering data-driven insights through the development of Tableau dashboards and SAP Ariba reports to support sourcing and procurement functions. It involves end-to-end BI project management, including data extraction, cleaning, and visualization using tools like SQL, Tableau Prep, and S/4HANA. The role requires strong collaboration with global stakeholders, deep domain knowledge in supply chain and procurement, and a continuous improvement mindset to optimize reporting solutions for better business outcomes. Key Skills : a) Any Graduate b) Minimum 3+ years of experience in developing Tableau dashboards c) Minimum 3+ years of experience in database management and SQL programming experience including creating tables, views, stored procedures, and user-defined functions To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a)To Apply for above Job Role ( Bangalore) Type : Job Code # 145 b)To Apply for above Job Role ( Mumbai) Type : Job Code # 146 Job description: Experience working across organizations and cross-functional groups to ensure project coordination, implementation, and completion. Experience in developing Tableau dashboards using multiple data sources as per the business requirement (Power BI experience is not required but good to have). Experience in SAP Ariba Procurement reporting and S/4HANA. Experience in database management and SQL programming experience including creating tables, views, stored procedures, and user-defined functions. Experience with data exploration, data cleaning (primarily using Tableau Prep), data analysis, data visualization, and data mining. Domain knowledge in the supply chain industry and /or sourcing and procurement is required. Strong communication, project management and team building skills. Soft skills Excellent MS Office skills, analytical skills, presentation skills. Responsibilities : Design, develop, and maintain automated Tableau dashboards and complex Ariba reports that provide critical business insights to business stakeholders. Lead business intelligence projects from inception to completion, including defining scope, business requirements, timelines and deliverables. Monitor project progress, adjust as necessary and communicate updates to stakeholders. Conduct deep dive analyses on business problems and provide recommendations based on data. Develop and implement data pipelines and end-user data tools that empower non-technical business partners to access and analyse data independently. Provide dashboard access and end-user support for Tableau dashboards and Ariba reports. Operate with initiative and a continuous improvement mindset by constantly looking for opportunities to innovate, create, refine, and optimize solutions with the goal of simpler, faster, and better. Fluent in extracting, implementing and interpreting large data sets. Experience in supporting global clients. Skills / Requirements: Excellent analytical and problem-solving abilities. Excellent interpersonal and collaborative skills. Ability to engage and develop strong working relationships with business stakeholders in order to anticipate and understand key business requirements through multiple discussions. Proficiency in SQL and experience with relational database management systems. Ability to work independently and within a team environment. Ability to manage multiple projects simultaneously and work under pressure to meet deadlines. Knowledge of best practices in data visualization and business intelligence. Experience in developing a large number of Tableau dashboards in production in the last 2 years is required. Contributes to the effectiveness of the team by working closely with colleagues by sharing information, skills, and responsibilities.

Key Tasks & responsibilities Defining Standard delivery processes (along with defining interfaces across SBUs/Leverage services/Contact Center) with operational/leadership metrics, QA Checks for ongoing operations Providing HighQuality Business analytics support to Management team Identifying improvement opportunities along with the respective Leaders & Process Heads and facilitating launch of projects around these opportunities Ensure effectiveness of Customer issue tracking , root cause analysis, corrective and preventive actions, and management accountability for customer issues Leading high impact SixSigmaand Lean projects Coach green belt and smaller/lower complexity projects across the business. Mentoring Green Belts/Yellow Belts Business Process matrices & Reporting: To define & develop Process Metrics Scorecard (Client \u2013 Domain level) \u2013 both for existing key clients and new clients and Tracking performance around these metrics Tracking of SLAs & identifying concern (RED) areas to raise Early Warning Signals Knowledge & Skills Six Sigma Green Belt or Black Belt certifications Knowledge of SQL and Data Visualization tools (like Power BI & Tableau) Excellent presentation skills, including strong oral and writing capabilities; ability to clearly communicate compelling messages to senior leadership team. Strong analytical and problem-solving skills with sound business Knowledge Possess excellence, project management, and people management skills. Qualifications Graduate in any stream, Engineering Graduates are preferred. At least 5 Years of relevant experience in the field of Quality 8-10 years of experience in managing qualityin manufacturing, IT and BPO for multiple customers.

Job Overview: We are looking for a BI & Visualization Developer who will be part of our Analytics Practice and will be expected to actively work in a multi-disciplinary fast paced environment. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project; its primary responsibility is to support the design, development and maintainance of business intelligence and analytics solutions. Responsibilities: Develop reports, dashboards, and advanced visualizations. Works closely with the product managers, business analysts, clients etc. to understand the needs / requirements and develop visualizations needed. Provide support to new of existing applications while recommending best practices and leading projects to implement new functionality. Learn and develop new visualization techniques as required to keep up with the contemporary visualization design and presentation. Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Collaborate in design reviews and code reviews to ensure standards are met. Recommend new standards for visualizations. Build and reuse template/components/web services across multiple dashboards Support presentations to Customers and Partners Advising on new technology trends and possible adoption to maintain competitive advantage Mentoring Associates Experience Needed: 8+ years of related experience is required. A Bachelor degree or Masters degree in Computer Science or related technical discipline is required Highly skilled in data visualization tools like PowerBI, Tableau, Qlikview etc. Very Good Understanding of PowerBI Tabular Model/Azure Analysis Services using large datasets. Strong SQL coding experience with performance optimization experience for data queries. Understands different data models like normalized, de-normalied, stars, and snowflake models. Worked in big data environments, cloud data stores, different RDBMS and OLAP solutions. Experience in design, development, and deployment of BI systems. Candidates with ETL experience preferred. Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery. Has strong technical background and remains evergreen with technology and industry developments. Additional Demonstrated ability to have successfully completed multiple, complex technical projects Prior experience with application delivery using an Onshore/Offshore model Experience with business processes across multiple Master data domains in a services based company Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality. Demonstrates high standards of professional behavior in dealings with clients, colleagues and staff. Strong written communication skills. Is effective and persuasive in both written and oral communication. Experience with gathering end user requirements and writing technical documentation Time management and multitasking skills to effectively meet deadlines under time-to-market pressure May require occasional travel

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomms Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience:7-10 years of experience developing dashboard with reporting tools- Tableau (Tableau API), Power BI, OBIEE. SkillsMust: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable: Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/masters degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. General Summary Preferred Qualifications 3+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,) Experience with Big Data tools , platforms and architecture with solid working experience with SQL Experience working in a very large data warehousing environment, Distributed System. Solid understanding on various data exchange formats and complexities Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets Strong data visualization skills Basic understanding of Machine Learning; Prior experience in ML Engineering a plus Ability to manage on-premises data and make it inter-operate with AWS based pipelines Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus Education Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline Preferred QualificationsMasters in CS/ECE with a Data Science / ML Specialization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field OR PhD in Engineering, Information Systems, Computer Science, or related field. 3+ years of experience with Programming Language such as C, C++, Java, Python, etc. Develops, creates, and modifies general computer applications software or specialized utility programs. Analyzes user needs and develops software solutions. Designs software or customizes software for client use with the aim of optimizing operational efficiency. May analyze and design databases within an application area, working individually or coordinating database development as part of a team. Modifies existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Principal Duties and Responsibilities: Completes assigned coding tasks to specifications on time without significant errors or bugs. Adapts to changes and setbacks in order to manage pressure and meet deadlines. Collaborates with others inside project team to accomplish project objectives. Communicates with project lead to provide status and information about impending obstacles. Quickly resolves complex software issues and bugs. Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions. Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently. Participates in technical conversations with tech leads/managers. Anticipates and communicates issues with project team to maintain open communication. Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks. Prioritizes project deadlines and deliverables with minimal supervision. Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues). Writes readable code for large features or significant bug fixes to support collaboration with other engineers. Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner. Unit tests own code to verify the stability and functionality of a feature.