3197 Looker Jobs - Page 9

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager - Product Data & Analytics Job Description Product Data & Analytics Team Manager – Product Data & Analytics Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they brings to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Create reusable processes to support development of modeling and reporting Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Recruit, train, develop and supervise analyst-level employees. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. All About You Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format. Experience building support decks. Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience in building data models Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack Experience with data visualization tools such as Looker, Tableau, PowerBI Experience with Python, R, a plus Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Analyst, Inclusive Innovation & Analytics, Center for Inclusive Growth Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world. Reporting to Vice President, Inclusive Innovation & Analytics, the Analyst, will 1) create and/or scale data, data science, and AI solutions, methodologies, products, and tools to advance inclusive growth and the field of impact data science, 2) work on the execution and implementation of key priorities to advance external and internal data for social strategies, and 3) manage the operations to ensure operational excellence across the Inclusive Innovation & Analytics team. Key Responsibilities Data Analysis & Insight Generation Design, develop, and scale data science and AI solutions, tools, and methodologies to support inclusive growth and impact data science. Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights related to economic inclusion, public policy, and social equity. Translate analytical findings into insights through compelling visualizations and dashboards that inform policy, program design, and strategic decision-making. Create dashboards, reports, and visualizations that communicate findings to both technical and non-technical audiences. Provide data-driven support for convenings involving philanthropy, government, private sector, and civil society partners. Data Integration & Operationalization Assist in building and maintaining data pipelines for ingesting and processing diverse data sources (e.g., open data, text, survey data). Ensure data quality, consistency, and compliance with privacy and ethical standards. Collaborate with data engineers and AI developers to support backend infrastructure and model deployment. Team Operations Manage team operations, meeting agendas, project management, and strategic follow-ups to ensure alignment with organizational goals. Lead internal reporting processes, including the preparation of dashboards, performance metrics, and impact reports. Support team budgeting, financial tracking, and process optimization. Support grantees and grants management as needed Develop briefs, talking points, and presentation materials for leadership and external engagements. Translate strategic objectives into actionable data initiatives and track progress against milestones. Coordinate key activities and priorities in the portfolio, working across teams at the Center and the business as applicable to facilitate collaboration and information sharing Support the revamp of the Measurement, Evaluation, and Learning frameworks and workstreams at the Center Provide administrative support as needed Manage ad-hoc projects, events organization Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Public Policy, or a related field. 2–4 years of experience in data analysis, preferably in a mission-driven or interdisciplinary setting. Strong proficiency in Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly, Seaborn, D3.js). Familiarity with unstructured data processing and robust machine learning concepts. Excellent communication skills and ability to work across technical and non-technical teams. Technical Skills & Tools Data Wrangling & Processing Data cleaning, transformation, and normalization techniques Pandas, NumPy, Dask, Polars Regular expressions, JSON/XML parsing, web scraping (e.g., BeautifulSoup, Scrapy) Machine Learning & Modeling Scikit-learn, XGBoost, LightGBM Proficiency in supervised/unsupervised learning, clustering, classification, regression Familiarity with LLM workflows and tools like Hugging Face Transformers, LangChain (a plus) Visualization & Reporting Power BI, Tableau, Looker Python libraries: Matplotlib, Seaborn, Plotly, Altair Dashboarding tools: Streamlit, Dash Storytelling with data and stakeholder-ready reporting Cloud & Collaboration Tools Google Cloud Platform (BigQuery, Vertex AI), Microsoft Azure Git/GitHub, Jupyter Notebooks, VS Code Experience with APIs and data integration tools (e.g., Airflow, dbt) Ideal Candidate You are a curious and collaborative analyst who believes in the power of data to drive social change. You’re excited to work with cutting-edge tools while staying grounded in the real-world needs of communities and stakeholders. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Position : Product Manager Marketing No of Position : 1 Salary Range : 7 - 9 LPA Experience : 3-5 Years Location : Chennai Job Type : Full time (Onsite) ABOUT US DHPL: Global leader in manufacturing human hair extensions and award-winning exporter to USA and UK; DHPL leads the hair industry market in quality goods that are celebrated in hair salons, Hollywood studios, and opera and theater stages. We believe in growth and science by learning and applying advanced business techniques and R&D applications. IT Department: We are a data-driven and process-oriented organization that values curiosity, experimentation, and continuous learning. Our efforts are backed by analytics and strategic insights, ensuring that we drive meaningful engagement and conversions in international markets. OUR STORY DHPL is the daughter company of Hair & Compounds, Inc. located in California USA. After more than 22 years, together we have built a reputation for creating and providing human hair products in the high-end hair extension market known in Hollywood, Manhattan, London, Ontario, and a hundred more cities. Our culture values curiosity, experimentation, and learning. ABOUT THE PROJECT We are building a technology platform to transform the way small-scale farmers connect with vendors, retailers, and bulk buyers. This is an early-stage, experiment-heavy project that requires a hands-on, data-driven Product Manager to bring structure to ambiguity, validate assumptions with users, and guide us toward product-market fit. JOB SUMMARY We are looking for a Product Manager who is equally strategic and execution-focused, deeply curious about user behavior, and skilled at translating insights from the field into product improvements. You will be responsible for leading customer discovery, running lean experiments, prioritizing features, and helping us validate hypotheses through interviews, MVPs, and user testing. JOB RESPONSIBILITIES Design and conduct farmer and vendor interviews to uncover needs, pain points, and workflows. With initial training and support, create and refine JTBD frameworks, personas, and segmentation models based on real-world feedback. Document and synthesize insights from interviews into actionable product strategies. Plan and execute MVP experiments, A/B tests, landing pages, and survey-driven validation. Define success metrics and track results using analytics tools. Collaborate with marketing to test channels, messaging, and value propositions. Own the product roadmap and prioritization. Map out user journeys and identify the riskiest assumptions across acquisition, retention, and monetization stages. Break down big problems into smaller, testable hypotheses and structure learning loops. Define and monitor KPIs and user funnels (AAARRR framework, retention cohorts, etc.). Collaborate with the data team to build dashboards in tools like Looker Studio, GA4. Use both quantitative and qualitative data to drive product decisions. Write clear, user stories and work closely with engineering to scope features and manage sprints. Collaborate with design to ensure user-friendly and farmer-accessible interfaces (even for low-tech users). QUALIFICATIONS You’re fluent in product discovery, lean experimentation, and iterative building. You can connect the dots between user insight, data, and business value. You balance user empathy with business impact, and you're allergic to untested assumptions. 3+ years in product management, ideally in early-stage startups, marketplace, or logistics platforms. Experience in running experiments, surveys, or interviews with low-tech or rural populations is a huge plus. Familiarity with JTBD, Lean Canvas, or Blue Ocean frameworks is a plus Strong verbal and written communication skills in English. Ability to work with ambiguity, define structure, and drive execution independently. Experience in agritech, rural markets, or supply chain tech. Exposure to B2B platforms or two-sided marketplaces. Hands-on experience working with tools for experimentation or automation. Strong analytical skills and a passion for working with data and numbers to drive marketing decisions. REPORT TO Marketing Manager (India), Operation Manager (United States) WORK HOURS & BENEFITS Our Management Approach: We are an equal opportunity employer who believes in giving opportunities for growth in accordance with skills and attitude. Benefits We Provide Office timings from 9 am to 5:30 pm from Monday to Friday. Salary : Best in the industry based on experience and skill set. Probation Period: 6 Months Medical Insurance for 2.00 lac p.a after 3 months of Joining. Social Security includes - Provident Fund and Gratuity on completion of 5 years of service as per the Tamil Nadu Factories Act. 10 days of Paid Leave and 8 Casual Leave will be provided for the Year.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager, Product Management Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Join us in unlocking infinite opportunity in Mastercard’s Corporate Solutions organization! Overview In Corporate Solutions, we empower our customer’s businesses to succeed through innovative, trusted payment solutions that deliver a seamless digital-first experience around the world. We are disrupting the industry by developing world-class travel and B2B solutions for our corporate clients around the globe. The Mastercard Commercial Card Platform, Smart Data, enables issuers and end corporate clients to manage their commercial card programs. It is the single-entry point to features and functions such as virtual payments, data integrations, account management, transaction reconciliation and reporting. About The Role We are looking for a visionary Product Manager with expertise in Data Science and Business Intelligence (BI) to lead our future-oriented product strategy. This role goes beyond traditional reporting, focusing on crafting and executing a BI and data science roadmap that delivers market-differentiating analytics solutions to our B2B clients. If you have a proven record in data-driven product development and a passion for leveraging advanced analytics to unlock insights, we’d love to talk. Define and Drive Product Vision: Develop and own a strategic roadmap for data science and BI offerings. Collaborate closely with leadership to align the product vision with broader company goals. Market Research & Competitive Analysis: Stay abreast of the latest BI and data science trends, tools, and methodologies. Conduct market analysis to identify opportunities and innovative use cases. Customer Engagement: Work with clients to understand pain points and insights needs, translating these into actionable product features. Emphasize personalized, actionable intelligence for B2B partners, such as issuers and corporate credit clients. Cross-Functional Collaboration: Coordinate with engineering, data science, and design teams to ensure product delivery meets customer needs. Oversee product execution from ideation to launch, ensuring timely releases and high-quality features. Data Science Strategy: Collaborate with data science teams on advanced analytics solutions (e.g., trend analysis, predictive models, user-defined events (UDEs)). Help the team develop data models and algorithms that provide forward-looking insights. BI Expertise: Guide the development of BI tools, including self-service and collaborative reporting, trend dashboards, and industry-standard metrics that cater to both high-level summaries and deep dives. Operational Excellence: Collaborate on CI/CD pipelines for continuous improvement and support product quality through automation, health checks, and monitoring. Drive tangible data-driven business outcomes at the product level, manage to a quantified scorecard continuously monitoring and analyzing key performance indicators and optimizing product performance Interpret and apply program vision and strategy to product strategy and roadmap for the Products they manage, clearly communicating it to key stakeholders on an ongoing basis Leverage the Mastercard “Studio” framework to manage the delivery of ongoing innovation and enhancements to focus Products Drive a user-centric culture of data driven, test and learn experimentation, continuously assessing and enhancing the Product user experience. Partner with Delivery and Servicing teams (GCC, CTS, Biz Ops) to ensure that Products are easy to deploy and deliver a great experience during operation Understand the Software Development Lifecycle and manage any barriers or obstacles to deliver capabilities on time Partner with cross-functional teams in the development of business requirements to achieve Product objectives Qualifications Education: Bachelors in a relevant field (e.g., Computer Science, Data Science, Engineering, Business); Master’s preferred. Experience: 10+ years as a Product Manager with a focus on BI and data science. Experience in B2B, fintech, or SaaS industries is highly desirable. Technical Expertise: Proficient in data science and BI platforms such as Tableau, Power BI, Looker, and familiarity with SQL, Python, and data engineering workflows. Analytical Skills: Strong quantitative skills with the ability to interpret and build upon statistical analyses, data modelling, and analytics. Communication & Leadership: Excellent verbal and written communication skills, with the ability to present insights and recommendations to executive stakeholders. Experience working cross-functionally with engineering, analytics, and design teams. Experience working in payment industry is strongly encouraged. Can deliver high quality products/services in a high growth environment where priorities shift rapidly Proven track record of data driven decision making and applying continuous improvement and test and learn methodologies across teams Comprehensive experience in Agile delivery methodologies (Scrum, Kanban, etc.) Can communicate to executives, peers, and staff with impact, eloquence, and authenticity Innovative Mindset: A proactive and growth-oriented mindset to drive innovation and stay ahead of industry trends. Why Join Us? Impact: Lead transformative projects that directly impact the business intelligence and data science landscape for top-tier clients. Growth: Join a forward-thinking team with ample opportunities for professional development. Culture: Be part of a dynamic, inclusive work environment that values creativity, diversity, and collaboration. Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist Job Description Product Data & Analytics Team Senior Data Scientist – Product Data & Analytics Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services. Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Lead, mentor and guide more junior team members. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. Bring your Passion and Expertise All About You Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format. Experience building support decks. Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack Experience with data visualization tools such as Looker, Tableau, PowerBI Experience with Python, R, Databricks a plus Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Hiring for Web Analytics Manager Years of Exp: 3-5 years Job Overview: We are seeking an experienced Digital Analytics Consultant to join our team. The ideal candidate will bring a strong background in computer science, coupled with practical technical skills and experience in digital analytics. This role will support our Digital Analytics team in implementing, managing, and optimizing data-driven solutions across various analytics platforms, helping drive insights and business decisions. Key Responsibilities: Digital Analytics Implementation & Optimization: Configure and manage analytics platforms, including Google Analytics, Adobe Analytics, and other tools as required. Design and implement tracking solutions to capture essential metrics, events, and conversions across web and app environments. Ensure data integrity and accuracy, aligning data collection efforts with business objectives. Tag Management & Data Layer Setup: Set up and maintain tag management solutions such as Google Tag Manager (GTM) or Adobe Launch. Configure complex tags, triggers, and variables for tracking and troubleshooting issues to ensure data quality and accuracy. Work closely with cross-functional teams to implement and refine tracking for campaigns, conversions, and user interactions. Data Collection, Analysis & Reporting: Develop custom reports and dashboards using analytics and data visualization tools. Conduct data validation across platforms to ensure consistent and accurate reporting. Collaborate with teams to interpret data insights, empowering data-driven decision-making and optimizations. Technical Skills: Experience working as an implementation specialist on any enterprise platform in analytics, data, digital marketing, or ERP space. Strong understanding of web technologies, including HTML and JavaScript (experience working with SQL, APIs, and ETL processes is a plus). Consulting Experience: Prior experience working with consulting firms such as Deloitte, Accenture, or similar is highly desirable, demonstrating a consulting mindset and effective client communication skills. Soft Skills: Excellent communication skills, with the ability to convey complex data insights to both technical and non-technical stakeholders. Detail-oriented and collaborative, with a commitment to data quality and a proactive approach to problem-solving. Preferred Skills: Experience with digital analytics platforms, including advanced use of Google Analytics and Adobe Analytics. Familiarity with data visualization tools such as Looker Studio, Tableau, or Power BI. Certifications such as Google Analytics Individual Qualification, Adobe Analytics certification, or similar credentials. Qualifications: Education: Bachelor's degree in computer science, Information Technology, or a related field.

Job Description: Looker Expert with PostgreSQL Expertise We are seeking a talented Looker Expert with strong knowledge of PostgreSQL functions to join our team. In this role, you will utilize your expertise in Looker and PostgreSQL to design robust data models, create advanced visualizations, and optimize queries to drive business insights. You will collaborate closely with cross-functional teams to ensure that data is accessible, accurate, and actionable for decision-making. Key Responsibilities 1. Looker Development:Design and develop LookML models, explores, and dashboards. Build user-friendly and scalable Looker solutions to meet business intelligence needs. 2. PostgreSQL Expertise:Write and optimize complex PostgreSQL queries and functions, including stored procedures, triggers, and views. Leverage PostgreSQL capabilities for efficient data transformations and analytics. 3. Data Modeling and Optimization:Develop and maintain data models in Looker using best practices for dimensional modeling. Optimize Looker dashboards and PostgreSQL queries for performance and scalability. 4. Collaboration:Partner with data engineers to ensure data pipelines align with analytical requirements. Work with business teams to gather requirements and deliver insights-driven solutions. 5. Quality Assurance and Maintenance:Validate data for accuracy and consistency in Looker visualizations and reports. Monitor and troubleshoot Looker dashboards and PostgreSQL performance issues. 6. Documentation and Training:Document PostgreSQL functions, LookML configurations, and data workflows. Train users on self-service analytics and Looker capabilities. Requirements1. Technical Expertise:Proven experience in Looker and LookML development. Strong proficiency in PostgreSQL, including advanced functions, triggers, and stored procedures. Expertise in writing, debugging, and optimizing SQL queries. Familiarity with data warehouse technologies (e.g., Snowflake, BigQuery, Redshift). 2. Data Knowledge: Understanding of relational databases, star schema, and data modeling principles. Experience working with large datasets and designing efficient transformations. 3. Problem-Solving Skills: Ability to translate complex business requirements into actionable technical solutions. Analytical mindset to identify trends and insights within data. 4. Soft Skills : Strong communication skills to work effectively with both technical and non-technical stakeholders. Ability to multitask and prioritize in a dynamic environment. Preferred Qualifications Experience with ETL tools and processes. Knowledge of data pipelines & ETL (extract, transform, and load). Familiarity with other BI tools (e.g., Tableau, Power BI). Knowledge of cloud-based data solutions (e.g., AWS, GCP, Azure). Looker and PostgreSQL certifications are a plus

Key Responsibilities Partner with product managers, engineers, and business stakeholders to define KPIs and success metrics for Creator Success Create comprehensive dashboards and self-service analytics tools using QuickSight, Tableau, or similar BI platforms Perform deep-dive analysis on customer behavior, content performance, and livestream engagement patterns Design, build, and maintain robust ETL/ELT pipelines to process large volumes of streaming and batch data from Creator Success platform Develop and optimize data warehouses, data lakes, and real-time analytics systems using AWS services (Redshift, S3, Kinesis, EMR, Glue) Implement data quality frameworks and monitoring systems to ensure data accuracy and reliability Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field 3+ years of experience in business intelligence/analytic roles with proficiency in SQL, Python, and/or Scala Strong experience with AWS cloud services (Redshift, S3, EMR, Glue, Lambda, Kinesis) Expertise in building and optimizing ETL pipelines and data warehousing solutions Proficiency with big data technologies (Spark, Hadoop) and distributed computing frameworks Experience with business intelligence tools (QuickSight, Tableau, Looker) and data visualization best practices High proficiency in SQL and Python Skills: aws lambda,quicksight,power bi,aws s3,aws,tableau,aws kinesis,etl,sql,aws redshift,scala,aws emr,business intelligence,hadoop,spark,aws glue,data warehousing,python

As a skilled Data Engineer, you will leverage your expertise to contribute to the development of data modeling, ETL processes, and reporting systems. With over 3 years of hands-on experience in areas such as ETL, Big Query, SQL, Python, or Alteryx, you will play a crucial role in enhancing data engineering processes. Your advanced knowledge of SQL programming and database management will be key in ensuring the efficiency of data operations. In this role, you will utilize your solid experience with Business Intelligence reporting tools like Power BI, Qlik Sense, Looker, or Tableau to create insightful reports and analytics. Your understanding of data warehousing concepts and best practices will enable you to design robust data solutions. Your problem-solving skills and attention to detail will be instrumental in addressing data quality issues and proposing effective BI solutions. Collaboration and communication are essential aspects of this role, as you will work closely with stakeholders to define requirements and develop data-driven insights. Your ability to work both independently and as part of a team will be crucial in ensuring the successful delivery of projects. Additionally, your proactive approach to learning new tools and techniques will help you stay ahead in a dynamic environment. Preferred skills include experience with GCP cloud services, Python, Hive, Spark, Scala, JavaScript, and various BI/reporting tools. Your strong oral, written, and interpersonal communication skills will enable you to effectively convey insights and solutions to stakeholders. A Bachelor's degree in Computer Science, Computer Information Systems, or a related field is required for this role. Overall, as a Data Engineer, you will play a vital role in developing and maintaining data pipelines, reporting systems, and dashboards. Your expertise in SQL, BI tools, and data validation will contribute to ensuring data accuracy and integrity across all systems. Your analytical mindset and ability to perform root cause analysis will be key in identifying opportunities for improvement and driving data-driven decision-making within the organization.,

As a Cloud Data Ops Engineer specializing in AWS & Snowflake at EY, you will play a vital role in the Cloud Data Ops team focusing on Snowflake and BI tools for Cloud data platform. Your responsibilities will include providing operational support, collaborating with application development teams, infrastructure teams, and vendors to address technical support incidents efficiently. Your primary responsibilities will involve working with Snowflake, Linux, Python, ETL, and Scheduler tools to ensure smooth operations. You will need to maintain a comprehensive understanding of Snowflake service offerings and possess experience in cloud data platforms, compute, storage, and network architecture. Additionally, you will be expected to resolve critical production issues, participate in Major Incident Management calls, and support Disaster Recovery events. Communication skills are key for this role as you will be required to work closely with various teams, vendors, and management. Upholding a culture of honesty and transparency is essential while championing effective verbal and written communication. Leadership competencies at this level include accountability, global collaboration, effective communication, influencing, innovation, and creativity. You should be capable of thinking innovatively, generating new ideas, and confidently pursuing challenges to identify new opportunities. In terms of technical qualifications, you should have a minimum of 5 years of experience in IT with a focus on cloud platforms. Practical experience with Snowflake, AWS, Linux, Python, SQL, ETL, Scheduler tools, and automation tools like Terraform is necessary. Familiarity with BI tools such as PowerBI, Sigma, Looker, enterprise-level applications, alerting, monitoring, dashboarding, and escalation is also required. A Bachelor's Degree in computer science or engineering is preferred, and Snowflake Snowpro certification would be advantageous. Join EY to cultivate a career tailored to your unique talents and contribute to building a better working world for all. EY's global scale, inclusive culture, and cutting-edge technology provide the support you need to excel. Your voice and perspective will play a crucial role in shaping EY's future success. Embrace this opportunity to create an exceptional experience for yourself while positively impacting the world around you.,

Job Information Date Opened 07/28/2025 Job Type Full time Work Experience 10-18 years Industry Technology Number of Positions 1 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600086 About Us Why a career in Zuci is unique! Constant attention is the source of our perfection. We fundamentally believe that building a career is all about consistency. If you jog or walk for a few days, it won’t bring in big results. If you do the right things every day for hundreds of days, you'll become lighter, more flexible, and you'll start enjoying your work and life more. Our customers trust us because of our unwavering consistency. Enabling us to deliver high-quality work and thereby give our customers and Team Zuci the best shot at extraordinary outcomes. Do you see the big picture? Is Digital Engineering your forte? Job Description Solution Architect – Data & AI (GCP + AdTech Focus) Experience : 15+ Years Employment Type: Full Time Role Overview: We are seeking a highly experienced Solution Architect with deep expertise in Google Cloud Platform (GCP) and a proven track record in architecting data and AI solutions for the AdTech industry. This role will be pivotal in designing scalable, real-time, and privacy-compliant solutions for programmatic advertising, customer analytics, and AI-driven personalization. The ideal candidate should blend strong technical architecture capabilities with deep domain expertise in advertising technology and digital marketing ecosystems. Key Responsibilities: Architect and lead GCP-native data and AI solutions tailored to AdTech use cases—such as real-time bidding, campaign analytics, customer segmentation, and look alike modeling. Design high-throughput data pipelines, audience data lakes, and analytics platforms leveraging GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI, etc. Collaborate with ad operations, marketing teams, and digital product owners to understand business goals and translate them into scalable and performant solutions. Integrate with third-party AdTech and MarTech platforms, including DSPs, SSPs, CDPs, DMPs, ad exchanges, and identity resolution systems. Ensure architectural alignment with data privacy regulations (GDPR, CCPA) and support consent management and data anonymization strategies. Drive technical leadership across multi-disciplinary teams (Data Engineering, MLOps, Analytics) and enforce best practices in data governance, model deployment, and cloud optimization. Lead discovery workshops, solution assessments, and architecture reviews during pre-sales and delivery cycles. GCP & AdTech Tech Stack Expertise: BigQuery, Cloud Pub/Sub, Dataflow, Dataproc, Cloud Composer (Airflow), Vertex AI, AI Platform, AutoML, Cloud Functions, Cloud Run, Looker, Apigee, Dataplex, GKE Deep understanding of programmatic advertising (RTB, OpenRTB), cookie-less identity frameworks, and AdTech/MarTech data flows. Experience integrating or building components like: Data Management Platforms (DMPs) Customer Data Platforms (CDPs) Demand-Side Platforms (DSPs) Ad servers, attribution engines, and real-time bidding pipelines Event-driven and microservices architecture using APIs, streaming pipelines, and edge delivery networks. Integration with platforms like Google Marketing Platform, Google Ads Data Hub, Snowplow, Segment, or similar. Strong understanding of IAM, data encryption, PII anonymization, and regulatory compliance (GDPR, CCPA, HIPAA if applicable). Experience with CI/CD pipelines (Cloud Build), Infrastructure as Code (Terraform), and MLOps pipelines using Vertex AI or Kubeflow. Strong experience in Python and SQL; familiarity with Scala or Java is a plus. Experience with version control (Git), Agile delivery, and architectural documentation tools.

As a Senior Business Intelligence Consultant at Capco, a global technology and management consulting firm, you will be an integral part of the Data Analytics team, focused on delivering high-quality data solutions within the Investment Banking sector. Your role will involve leveraging your expertise in data visualization, dashboard development, and data management to provide actionable insights that meet the operational needs of stakeholders across the organization. Key Responsibilities: - Data Transformation: Identify, extract, transform, and load data from various sources to deliver clean and useful data for analytical and reporting purposes. - Data Asset Management: Manage data assets to ensure they align with the bank's strategic objectives and support business intelligence processes effectively. - Data Visualisation/Dashboard Development: Create clear and meaningful visualizations by translating complex data sets into interactive dashboards using tools like Tableau, Looker, and Power BI. - Model Training: Train and deploy Machine Learning models to enhance data analysis processes. - Collaboration with Operations Teams: Work closely with operational teams to understand their unique data requirements and provide tailored solutions to address their challenges. - Stakeholder Engagement & Management: Engage with stakeholders at all levels to effectively communicate findings and insights in an authentic manner. - Continuous Improvement: Stay updated on industry trends and best practices in business intelligence and data visualization to enhance processes and outcomes. - Documentation and Reporting: Maintain detailed documentation of BI solutions and processes to facilitate future enhancements and keep stakeholders informed. Key Skills & Expertise: - Proficiency in BI tools such as Tableau, Looker, and Power BI to create meaningful dashboards and reports. - Strong experience in data wrangling, ETL processes, and data management to deliver high-quality data for analysis. - Analytical skills to interpret complex data sets and identify key trends and insights. - Technical acumen in SQL, Python, data warehousing, and Google Cloud solutions. - Knowledge of investment banking industry operations, data needs, and regulatory environment to translate insights into effective BI solutions. - Proven track record in stakeholder management, problem-solving, and team collaboration within an agile environment. Join Capco to make an impact, grow your career, and be part of a diverse and inclusive culture that values creativity and innovation.,

This role is for one of our clients in the Operations industry based in NCR. As a mid-senior level professional with at least 7 years of experience, you will be responsible for leading the development and scaling of the Revenue Strategy & Operations function. Your role will involve a hands-on approach in designing and implementing strategic initiatives that drive scalable growth by aligning business strategy, systems design, and go-to-market execution. You will have the opportunity to establish and oversee the entire RevOps function, supported by executives, allowing you the freedom to innovate and take ownership of this crucial aspect of the business. Your primary responsibilities will include building and defining the RevOps function by creating frameworks, processes, and tools that enhance Marketing, Sales, and Customer Success operations. Additionally, you will be tasked with defining key revenue metrics, ensuring alignment across GTM teams, and developing playbooks to enhance overall performance. As a leader in this role, you will drive revenue forecasting, pipeline analytics, and performance tracking throughout the customer lifecycle. You will also serve as an expert advisor on RevOps best practices, influencing internal teams and client outcomes. Moreover, you will be responsible for leading a high-performing team of revenue analysts, systems architects, and operations specialists, fostering a culture of experimentation and continuous improvement. Innovation will be a key focus as you establish a Revenue Operations Innovation Hub to integrate AI tools, automate workflows, and optimize the RevOps tech stack for scalable growth. Your accountability will extend to the revenue, profitability, and growth of the RevOps service lines, as well as creating service offerings that meet evolving client needs. Regular reporting on financial health, delivery KPIs, and strategic impact will be essential in this role. To excel in this position, you should have at least 8 years of experience in Revenue Operations, Business Operations, or GTM Strategy, preferably in a fast-paced SaaS or consulting environment. You must demonstrate a track record of building and leading RevOps teams or services practices, along with deep technical knowledge of RevOps tools and systems. Strong leadership, communication, and financial acumen are crucial, as well as the ability to translate GTM strategy into actionable plans and drive innovation in RevOps. If you have experience in packaging services or launching new revenue service lines, it would be considered a bonus. Join us in this exciting opportunity to shape and drive the Revenue Strategy & Operations function, making a significant impact on the organization's growth and success.,

As a data-driven individual, you will play a key role in transforming operational and execution activities into actionable insights, contributing directly to Zocdoc's mission of giving power to the patient. You will collaborate with Provider Set Up Teams to optimize workflows and team performance using data metrics, analysis, and visualization. Your role will involve developing performance metrics tailored to business projects, overseeing projects from start to finish, and implementing standardized practices for data interpretation and management to ensure consistency and data integrity. You will thrive in this position if you are detail-oriented, results-driven, and proactive in deriving meaningful insights from various data sources. Balancing independent work with collaboration, you will excel in a dynamic and fast-paced environment. Your technical proficiency in data extraction and analysis, along with your excellent communication and multitasking skills, will be essential in driving innovation and supporting business decision-making. To be successful in this role, you should hold a Bachelor's degree from a top-tier institution, possess 4+ years of work experience in data management, data analysis, and data visualization, and demonstrate advanced proficiency in SQL. Experience with Salesforce Reporting Tools, Looker and/or Lookml, and Python would be advantageous. Independent problem-solving capabilities, along with excellent verbal and written communication skills, are also key attributes for this position. Zocdoc offers a competitive compensation package, attractive medical insurance, and a range of benefits including catered lunch, daycare/creche facility, corporate wellness programs, cellphone and wifi reimbursement, competitive parental leave, sabbatical leave, annual sponsored health check-ups, and more. Join our incredible team of smart and supportive individuals at Zocdoc, where we are dedicated to making healthcare work better for everyone. Zocdoc is the leading digital health marketplace in the country, connecting patients with in-network providers and enabling them to book in-person or video visits online. Our mission is to empower patients by giving them the tools to make informed healthcare decisions. We are guided by our core values and continuously strive to improve the patient experience. If you are passionate about leveraging data to drive positive change in healthcare, we invite you to join us on our mission.,

Svitla Systems Inc. is looking for a Data Engineer (with ML/AI Experience) for a full-time position (40 hours per week) in India . Our client is the world’s largest travel guidance platform, helping hundreds of millions each month become better travelers, from planning to booking to taking a trip. Travelers across the globe use the site and app to discover where to stay, what to do, and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions from nearly 8 million businesses, travelers turn to clients to find deals on accommodations, book experiences, and reserve tables at delicious restaurants. They discover great places nearby as a travel guide company, available in 43 markets and 22 languages. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical, including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of product, finance, sales, CRM, marketing, data science, and more, all in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Requirements BS/MS in Computer Science or related field. 4+ years of experience in data engineering or software development. Experience with AI models, LLM. Proven data design and modeling with large datasets (star/snowflake schema, SCDs, etc.). Strong SQL skills and ability to query large datasets. Experience with modern cloud data warehouses: Snowflake, BigQuery, etc. ETL development experience: SLA, performance, and monitoring. Familiarity with BI tools and semantic layer principles (e.g., Looker, Tableau). Understanding of CI/CD, testing, documentation practices. Comfortable in a fast-paced, dynamic environment. Ability to collaborate cross-functionally and communicate with technical/non-technical peers. Strong data investigation and problem-solving abilities. Comfortable with ambiguity and focused on clean, maintainable data architecture. Detail-oriented with a strong sense of ownership. Nice to Have Experience with data governance, data transformation tools. Prior work with e-commerce platforms. Experience with Airflow, Dagster, Monte Carlo, or Knowledge Graphs. Responsibilities Collaborate with stakeholders from multiple teams to collect business requirements and translate them into technical data model solutions. Design, build, and maintain efficient, scalable, and reusable data models in cloud data warehouses (e.g., Snowflake, BigQuery). Transform data from many sources into clean, curated, standardized, and trustworthy data products. Build data pipelines and ETL processes handling terabytes of data. Analyze data using SQL and dashboards; ensure models align with business needs. Ensure data quality through testing, observability tools, and monitoring. Troubleshoot complex data issues, validate assumptions, and trace anomalies. Participate in code reviews and help improve data development standards. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Annual performance appraisals. Remote-friendly culture and no micromanagement. Personalized learning program tailored to your interests and skill development. Bonuses for article writing, public talks, other activities. 15 PTO days, 10 national holidays. Free webinars, meetups and conferences organized by Svitla. Fun corporate celebrations and activities. Awesome team, friendly and supportive community!

As a Data Warehouse (DWH) professional with relevant experience in Google Cloud Platform (GCP), you will be responsible for developing and implementing robust data architectures. This includes designing data lakes, data warehouses, and data marts by utilizing GCP services such as BigQuery, Dataflow, DataProc, and Cloud Storage. Your role will involve designing and implementing data models that meet business requirements while ensuring data integrity, consistency, and accessibility. Your deep understanding of GCP services and best practices for data warehousing, data analytics, and machine learning will be crucial in this role. You will also be tasked with planning and executing data migration strategies from on-premises or other cloud environments to GCP. Optimizing data pipelines and query performance to facilitate efficient data processing and analysis will be a key focus area. Additionally, your proven experience in managing teams and project delivery will be essential for success in this position. Collaborating closely with stakeholders to comprehend their requirements and deliver effective solutions will be a significant part of your responsibilities. Any experience with Looker will be considered advantageous for this role.,

Job Roles & Responsibilities Analyze and interpret complex datasets using Python to drive strategic decisions, Develop and maintain data models and reporting tools to support business objectives, Collaborate with cross-functional teams to identify

We are seeking a dynamic individual to join Eucloid as a Lead Data Consultant. In this role, you will collaborate with client stakeholders in the Marketing Analytics vertical, driving impactful insights and strategic decisions. Your responsibilities will include identifying opportunities and influencing partners, ensuring scalability and effectiveness of marketing solutions, and connecting data sources to provide comprehensive analyses. You will be instrumental in developing data-driven hypotheses and recommendations to optimize campaign performance, leveraging your expertise in SQL, Python, Tableau, and Looker. The ideal candidate will hold an Undergraduate Degree in a quantitative discipline from a Top-Tier institution, with an MBA considered a plus. With a minimum of 4 years of experience in Data Analytics or Marketing Analytics, you should possess a strong proficiency in various analytics tools and platforms such as Adobe Analytics, Salesforce, and Google Analytics. To excel in this role, you must demonstrate exceptional analytical, problem-solving, and organizational skills, with a keen eye for detail. Your ability to understand technology dependencies and effectively manage complex projects will be crucial. Additionally, strong leadership experience and communication skills are essential for presenting insights to stakeholders and mentoring high-performing teams. This position offers an attractive compensation package and is based in Gurugram. If you are ready to take on this exciting opportunity, please contact Shruti Deobhankar at careers@eucloid.com to apply.,

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a Senior Manager-Cloud Security in the Verizon Cyber Services, you’ll be responsible for ensuring that the data and processes that are used in public cloud platforms are secured and controlled so that application workloads in those cloud platforms are not exposed to unintended users or services. You will also be responsible for partnering with multiple stakeholders in framing and implementing security control frameworks for Cloud platforms AWS, GCP, AZURE and OCI. This position requires a highly motivated individual with a solid technical and analytics background and leadership capabilities, interfacing across the org and cross-functional teams to deliver programs. What We’re Looking For... Driving Cloud Security Strategy Planning & Execution: Drive efforts to strategize, plan and implement the short term and long term goals of building a robust, repeat-at-scale, efficient model for the multi cloud platform that will encompass standard north star architecture across domains/systems. It will also include SRE, DevSecOps, Security, Stability, Scalability and Availability tools and processes in place. Enable automation and proactive monitoring to detect issues and communicate to business proactively. Partnering with the product and business teams to align on priorities and onboarding their cloud infra into CISO security controls. Being responsible for delivery of security controls on aws, gcp, azure and oci cloud platforms across gts and product teams. Being able to communicate effectively with our customers to help them understand security issues and solutions as well as continuous delivery/Cloud concepts. Work closely with portfolio and product teams to build security, reliability, and scalability into the development lifecycle. Leading a team to build security automation tools to streamline and scale applications in the production environment and troubleshoot and resolve issues related to security compliance, deployment and operations Building reliable infrastructure services in Security Tooling to deliver highly available and scalable services. Use native Cloud infrastructure services such as EC2, EBS, Auto Scaling, Cloudwatch, etc. Looking continuously to automate and operationalize the manual / repetitive tasks. Architecting, designing and helping the team on automating cloud security controls and monitoring solutions Providing leadership with advanced capabilities to enable automation/integration across hybrid processing environments (LDAP, SSO, CI/CD, Cloud APIs, Messaging, Web, microservices, SAAS, ServiceNow, Networking...) Conducting POCs on services from security and risk stand points and create access management framework based on principle of least privileges Working with stakeholders from both applications as well as other cloud core teams to provide solutions that meet security and governance requirements while minimizing impact on developer productivity. Designing proactive monitoring, logging, audits and automated policy enforcement for security and cost compliance. Leading US and VZI development teams in a global delivery model setting to plan and deliver projects with aggressive deadlines. Providing technical leadership and subject matter expertise on large, highly complex projects. Evaluating, developing, and implementing scalable solutions to deliver business requirements. Enabling best in class developer ecosystem with needed access, data, stakeholder partnerships, work-life balance and employee long term career paths. Creating People & Tech Leadership Pipeline: Nurture development of talent into strategic roles both on technology and strategic management. Driving a Culture of Innovation: Champion a culture of innovation and drive as an example. Encouraging the team to participate in hackathons, coding events, and other org wide events and efforts. Motivating and training direct reports to maximize productivity. Coaching and mentoring team members to achieve assigned goals and objectives. You’ll Need To Have Bachelor’s degree or six or more years of work experience. Eight or more years of relevant work experience Experience in managing large scale cloud security infra projects from scratch, and handled requirements, design and the deliveries Strong people leader and a mentor, and maintains a very high level of engagement with the team members. Strong verbal and written communication skills Experience with multi cloud platform infrastructures in Azure, AWS, GCP and or OCI. Experience on Cloud Security & Governance practices and frameworks. Experience with modern source control repositories (e. g. Git) and DevOps toolsets (Jenkins/ Ansible etc.) and knowledge of Agile/ Scrum methodologies. Even better if you have one or more of the following: Experience in technology leadership, architecture, and Agile methodologies. Communication and stakeholder management skills. Problem solving skills to develop quick yet sound solutions to resolve complex issues. Experience in logging platforms in cloud infrastructure Experience in driving cloud security automation, delivering high performing and scalable applications. Experience with DevOps CI/CD processes to automate build and deployments. Experience mentoring and coaching diverse teams. Experience in identifying and analyzing and finding RCA for Errors and working with cross functional teams like SRE and backend team Experience with analytical tools and DBs like Postgres, Looker , ELK, ETL tools Recognizing, tracking, and communicating issues, accomplishments, milestones to the team and business partners. Good presentation and communication skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Skill required: Data Management - Microsoft Power Business Intelligence (BI) Designation: BI Engineering Analyst Qualifications: BE/BTech Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We’re Accenture Marketing Operations. We’re the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations. Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our client’s business while accelerating time-to-market and operating efficiently at scale. We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses. A business intelligence tool for analyzing and visualizing raw data to present actionable information. It combines business analytics and data visualization that help to make data-driven decisions. It helps share, discover and collaborate in intuitive ways. What are we looking for? Data Visualization 2-3 years’ experience in Dashboard development (Looker/ Power BI / Looker) development Proven experience in marketing analytics, data analysis, or similar role Experience in working with large and complex data models, using DAX (if Power BI), LODs (if Tableau), etc Ability to work collaboratively in a cross-functional team environment with Strong business acumen and the ability to connect data insights to strategic decision Strong written & verbal communication Strong sense of visual storytelling and information hierarchy Ability to Debug tags to understand and mitigate data issues Experience in data warehousing techniques like snowflake, GCP, Databricks SQL, python Industry Experience – Beauty, CPG, Retail Roles and Responsibilities: Understanding of the strategic direction set by senior management as it relates to team goals Use data visualization tools to present insights in a clear and concise manner to both technical and non-technical stakeholders Prepare comprehensive documentations of logics, formulas used in the dashboards Generate insights using the available data

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a Senior Manager-Cloud Security in the Verizon Cyber Services, you’ll be responsible for ensuring that the data and processes that are used in public cloud platforms are secured and controlled so that application workloads in those cloud platforms are not exposed to unintended users or services. You will also be responsible for partnering with multiple stakeholders in framing and implementing security control frameworks for Cloud platforms AWS, GCP, AZURE and OCI. This position requires a highly motivated individual with a solid technical and analytics background and leadership capabilities, interfacing across the org and cross-functional teams to deliver programs. What We’re Looking For... Driving Cloud Security Strategy Planning & Execution: Drive efforts to strategize, plan and implement the short term and long term goals of building a robust, repeat-at-scale, efficient model for the multi cloud platform that will encompass standard north star architecture across domains/systems. It will also include SRE, DevSecOps, Security, Stability, Scalability and Availability tools and processes in place. Enable automation and proactive monitoring to detect issues and communicate to business proactively. Partnering with the product and business teams to align on priorities and onboarding their cloud infra into CISO security controls. Being responsible for delivery of security controls on aws, gcp, azure and oci cloud platforms across gts and product teams. Being able to communicate effectively with our customers to help them understand security issues and solutions as well as continuous delivery/Cloud concepts. Work closely with portfolio and product teams to build security, reliability, and scalability into the development lifecycle. Leading a team to build security automation tools to streamline and scale applications in the production environment and troubleshoot and resolve issues related to security compliance, deployment and operations Building reliable infrastructure services in Security Tooling to deliver highly available and scalable services. Use native Cloud infrastructure services such as EC2, EBS, Auto Scaling, Cloudwatch, etc. Looking continuously to automate and operationalize the manual / repetitive tasks. Architecting, designing and helping the team on automating cloud security controls and monitoring solutions Providing leadership with advanced capabilities to enable automation/integration across hybrid processing environments (LDAP, SSO, CI/CD, Cloud APIs, Messaging, Web, microservices, SAAS, ServiceNow, Networking...) Conducting POCs on services from security and risk stand points and create access management framework based on principle of least privileges Working with stakeholders from both applications as well as other cloud core teams to provide solutions that meet security and governance requirements while minimizing impact on developer productivity. Designing proactive monitoring, logging, audits and automated policy enforcement for security and cost compliance. Leading US and VZI development teams in a global delivery model setting to plan and deliver projects with aggressive deadlines. Providing technical leadership and subject matter expertise on large, highly complex projects. Evaluating, developing, and implementing scalable solutions to deliver business requirements. Enabling best in class developer ecosystem with needed access, data, stakeholder partnerships, work-life balance and employee long term career paths. Creating People & Tech Leadership Pipeline: Nurture development of talent into strategic roles both on technology and strategic management. Driving a Culture of Innovation: Champion a culture of innovation and drive as an example. Encouraging the team to participate in hackathons, coding events, and other org wide events and efforts. Motivating and training direct reports to maximize productivity. Coaching and mentoring team members to achieve assigned goals and objectives. You’ll Need To Have Bachelor’s degree or six or more years of work experience. Eight or more years of relevant work experience Experience in managing large scale cloud security infra projects from scratch, and handled requirements, design and the deliveries Strong people leader and a mentor, and maintains a very high level of engagement with the team members. Strong verbal and written communication skills Experience with multi cloud platform infrastructures in Azure, AWS, GCP and or OCI. Experience on Cloud Security & Governance practices and frameworks. Experience with modern source control repositories (e. g. Git) and DevOps toolsets (Jenkins/ Ansible etc.) and knowledge of Agile/ Scrum methodologies. Even better if you have one or more of the following: Experience in technology leadership, architecture, and Agile methodologies. Communication and stakeholder management skills. Problem solving skills to develop quick yet sound solutions to resolve complex issues. Experience in logging platforms in cloud infrastructure Experience in driving cloud security automation, delivering high performing and scalable applications. Experience with DevOps CI/CD processes to automate build and deployments. Experience mentoring and coaching diverse teams. Experience in identifying and analyzing and finding RCA for Errors and working with cross functional teams like SRE and backend team Experience with analytical tools and DBs like Postgres, Looker , ELK, ETL tools Recognizing, tracking, and communicating issues, accomplishments, milestones to the team and business partners. Good presentation and communication skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job Title: Business Intelligence (BI) Developer – Looker Studio & BigQuery Location: Hybrid (Remote + Onsite in Kolkata Office) Duration : 3-Month Full-Time Contract (Potential to convert to Full-Time Employee) Start Period : Mid-August, 2025 onwards About the Role: · We are looking for a BI Developer with expertise in Google Looker Studio and BigQuery to join our team and help design, develop, and maintain cutting-edge data dashboards and reporting solutions. Key Responsibilities: Design, develop, and maintain BI dashboards and reports using Looker Studio . Work with Google BigQuery for data modeling, querying, and building optimized datasets for reporting. Collaborate with stakeholders to understand business requirements and translate them into data visualizations. Create ETL pipelines or workflows to prepare and transform raw data for reporting needs. Ensure data quality, consistency, and performance optimization of dashboards and queries. Automate reporting processes and ensure real-time or scheduled data refreshes. Collaborate with cross-functional teams to implement analytics solutions. Required Skills & Qualifications: 2+ years of experience as a BI Developer, Data Analyst, or a similar role. Strong expertise in Google Looker Studio, creating interactive dashboards and reports. Hands-on experience with Google BigQuery – SQL, query optimization, and data warehousing concepts. Proficiency in SQL and data modeling techniques. Knowledge of ETL processes and working with structured/unstructured datasets. Strong analytical, problem-solving, and data visualization skills. Good communication skills to present data clearly to both technical and non-technical audiences. Nice to have Skills: Experience in data storytelling or dashboard UX/UI design best practices. Experience with other BI tools like Power BI or Tableau. Exposure to cloud platforms (GCP/AWS/Azure). Basic understanding of Japanese is a plus. Work Arrangement: Hybrid : Primarily remote, with occasional onsite meetings at our Kolkata office. Must be available to work from Kolkata office when required. Contract & Future Opportunity: · Initial Engagement : 3 months contract with full-time (100%) commitment. · Future Opportunity : Potential for conversion to a full-time permanent role, depending on performance and business needs

Technical specifications 3 + years of experience in data platform build or any related field. Familiarity and has worked with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, Databricks, Fabric) and principles Proficient in SQL and Apache Spark Python programming languages. Experience with cloud platforms like AWS, Azure, or GCP. Experience in data pipelines and ETL/ELT tools, including AWS Glue/Azure Data Factory/ Synapse/Matillion/DBT Experience in implementing or working with data governance frameworks and practices to ensure data integrity and regulatory compliance. Knowledge of data quality tools and practices. Good to have skills include o Data visualization using Power BI, Tableau, or Looker, and familiarity with full-stack technologies. o Experience with containerization technologies (e.g., Docker, Kubernetes) Experience with CI/CD pipelines and DevOps methodologies. Excellent communication, collaboration, and problem-solving skills. Circulation Limited: Client Version x.x Month yyyy 2 Ability to work independently, adapt to changing priorities, and learn new technologies quickly. 1.1 Responsibilities Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline). Ensuring compliance with data governance and security standards throughout the data platform development process. Troubleshoot and resolve data platform issues promptly and effectively. Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Work with business stakeholders to translate their needs into technical solutions. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps. Proactively suggest improvements and innovations for the data platform. 1.2 Required Skillset: ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt. Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory). Data Visualization: Looker, Power BI, Tableau. SQL and Apache Spark Python programming languages Containerization technologies (e.g., Docker, Kubernetes) Cloud Experience: AWS/Azure/GCP. Scripting and DevOps tools (e.g., Git, CI/CD pipeline) AWS Certification - AWS Foundational certificates or AWS Technical Certificates 1.3 Behavioural Competencies: At JMAN, we expect our team members to embody the following: Self-Driven & Proactive Take ownership, execute tasks independently, and drive solutions with minimal supervision. Adaptability & Resilience Thrive in a high-performance, entrepreneurial environment and navigate dynamic challenges effectively. Commitment & Engagement Ensure timesheet compliance, attend meetings regularly, follow company policies, and actively participate in org-wide initiatives. Teamwork & Collaboration Share knowledge, support colleagues, and contribute to talent retention and team success. Circulation Limited: Client Version x.x Month yyyy 3 Professionalism & Continuous Improvement Maintain a professional demeanour and commit to ongoing learning and self-improvement. Mentoring & Knowledge Sharing Guide and support junior team members, fostering a culture of continuous learning and professional growth. Advocacy & Organizational Citizenship Represent JMAN positively, uphold company values, respect others, and honour commitments, including punctuality and timely delivery.

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

Technical specifications 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment. Experience in managing support for modern data platforms across Azure, Databricks, Fabric, or Snowflake environments. Strong understanding of data engineering and analytics concepts, including ELT/ETL pipelines, data warehousing, and reporting layers. Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations. Hands-on understanding of SQL and scripting languages (Python preferred) for debugging/troubleshooting. Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus. Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric. Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty). Circulation Limited: Internal Version 1.0 June 2025 2 Strong stakeholder communication, documentation, and presentation skills. Experience working with global teams and collaborating across time zones. 3.1 Responsibilities Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently. Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices. Coordinate triaging and resolution of incidents and service requests raised by client stakeholders. Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs. Lead a >40 member team of Data Engineers and Consultants across offices, ensuring high- quality delivery and adherence to standards. Support transition from project mode to Managed Services including knowledge transfer, documentation, and platform walkthroughs. Ensure documentation is up to date for architecture, SOPs, and common issues. Contribute to service reviews, retrospectives, and continuous improvement planning. Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders. Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads. Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture. 3.2 Required Skillset: ETL or ELT: Azure Data Factory, Databricks, Synapse, dbt (any two Mandatory). Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone Mandatory). Data Visualization: Looker, Power BI, Tableau (Basic understanding to support stakeholder queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug SQL and Python scripts. Monitoring: Azure Monitor, Log Analytics, Datadog, or equivalent tools. Ticketing & Workflow Tools: Freshdesk, Jira, ServiceNow, or similar. DevOps: Containerization technologies (e.g., Docker, Kubernetes), Git, CI/CD pipelines (Exposure preferred). 3.3 Behavioural Competencies: At JMAN, we expect our team members to embody the following: Self-Driven & Proactive Own delivery and service outcomes, ensure proactive communication, and manage expectations confidently. Circulation Limited: Internal Version 1.0 June 2025 3 Adaptability & Resilience Thrive in a high-performance, entrepreneurial environment and navigate dynamic challenges effectively. Operational Excellence Be process-oriented and focused on SLA adherence, documentation, and delivery consistency. Agility & Problem Solving Adapt quickly to changing priorities, debug effectively, and escalate when needed with clarity. Commitment & Engagement Ensure timesheet compliance, attend meetings regularly, follow company policies, and actively participate in org-wide initiatives. Teamwork & Collaboration Share knowledge, support colleagues, and contribute to talent retention and team success. Professionalism & Continuous Improvement Maintain a professional demeanour and commit to ongoing learning and self-improvement. Mentoring & Knowledge Sharing Guide and support junior team members, fostering a culture of continuous learning and professional growth. Advocacy & Organizational Citizenship Represent JMAN positively, uphold company values, respect others, and honour commitments, including punctuality and timely delivery.