Senior Data Analyst, Enterprise Analytics

About WPP MediaWPP is recognized as the reliable growth partner for leading global brands. With an exceptional workforce, trusted data, and strategic alliances, we leverage our innovative marketing platform, WPP Open, to assist clients in navigating transformation, seizing opportunities, and achieving significant growth.As WPP's AI-driven media operating unit, WPP Media merges media, data, and partnerships to deliver large-scale creative personalization. Utilizing WPP Open and powered by Open Intelligence, clients gain precise insights into their media investments.To learn more, visit wppmedia.com.About WPPWPP is the creative transformation company. We harness the power of creativity to foster better futures for our employees, planet, clients, and communities. For more information, visit wpp.com.WPP Media is WPP’s global media collective. In an era where media permeates all aspects of life, we unite the best platforms, talent, and partners to create endless growth opportunities. For further details, visit wppmedia.com.At WPP Media, we value our culture and our people, which empower us to deliver extraordinary experiences for our clients and one another. In this position, it is essential to embody WPP's and WPP Media's shared core values:Be Extraordinary by leading collaboratively to inspire transformational creativity.Create an Open environment by balancing people and client experiences through trust.Lead Optimistically by advocating growth and development to mobilize the enterprise.This role will be a vital member of a data engineering team dedicated to one of WPP’s prominent global clients, tasked with maintaining and expanding a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders worldwide have access to accurate data and insights to guide their marketing strategies.WPP has introduced the Measure platform, a suite of standardized technologies (Adverity for data collection, DBT for modeling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to accelerate deployment and streamline support for automated reporting and analytics tools.

About Easyship:Easyship is a pioneering multi-carrier shipping software designed to simplify global eCommerce, making it accessible for businesses of all sizes. Since our inception in 2014, we have been dedicated to demystifying logistics by eliminating the complexities and hidden costs associated with international shipping. Trusted by over 100,000 brands worldwide, our platform serves as a unified 'mission control' for global commerce, providing access to over 550 courier services across more than 200 destinations.We are a globally recognized team, honored by Forbes 30 Under 30 and named one of TechInAsia’s Best Startups. With offices in London, New York, Hong Kong, and more, we are rapidly expanding. At Easyship, we embrace transparency and take pride in building the infrastructure that fuels modern commerce. If you are eager to tackle intricate challenges at scale, we invite you to join our dynamic team.About the Role:As a Senior Data Analyst, you will become an integral part of our agile data team, where you will excel at addressing ambiguous business challenges and clarifying complex issues. Your role will extend beyond mere reporting; you will enhance the organization’s analytical capabilities by interpreting intricate datasets, deriving insights, and transforming them into actionable recommendations for our business teams.In collaboration with key stakeholders, you will uncover the narratives behind the numbers, guiding data-driven decisions through effective storytelling. You will also explore AI-driven techniques and modern data tools to improve workflows, extract deeper insights, and propose innovative solutions previously thought impossible.Additional Information:This full-time role is based in our Bengaluru office (MG Road) and operates on UK collaboration hours (11:00 AM–8:00 PM IST) to ensure smooth cross-regional collaboration.Key Responsibilities:Dashboard/Reporting Strategy & Ownership:Design and implement new dashboards (e.g., KPI, operational metrics) utilizing BI tools.Diagnose and enhance existing dashboards to maintain accuracy and relevance.Refine dashboards to deliver not just data but also context and guidance.Analytics & Insights:Move beyond basic reporting to analyze performance trends, identify root causes, and present actionable recommendations.Data Accuracy & Quality Control:Regularly audit dashboards and data sources to ensure quality and accuracy.

About WPP MediaWPP Media is the trusted growth partner for the world’s leading brands. Combining exceptional talent, reliable data and intelligence, along with world-class partnerships, we empower clients to navigate change and seize opportunities for transformative growth through our innovative marketing platform, WPP Open.As WPP's AI-driven media operating unit, WPP Media integrates media, data, and partnerships to deliver large-scale creative personalization. Through WPP Open and powered by Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.WPP Media OverviewAt WPP, we harness the power of creativity to foster better futures for our people, planet, clients, and communities. Explore more at wpp.com.WPP Media, our global media collective, thrives in a world where media is omnipresent. We unite the finest platforms, talent, and partners to unlock limitless growth opportunities. Discover more at wppmedia.com.We pride ourselves on our vibrant culture and team. This role is essential for embodying the core values shared by WPP and WPP Media:Be Extraordinary by collectively leading to inspire transformational creativity.Create an Open environment by balancing people and client experiences through trust cultivation.Lead Optimistically by championing growth and development to mobilize the enterprise.

About The Role:The Senior Data Analyst in Support Operations plays a pivotal role in Rubrik’s commitment to providing outstanding customer experiences through AI-driven insights. This position is responsible for analytics, reporting, forecasting insights, and operational transparency for the global Customer Success organization, utilizing AI tools and platforms such as Salesforce, SupportLogic, Amazon Connect, and Workforce Management (WFM) tools, including Assembled, NICE, or Verint.You will analyze performance trends in service delivery, identify operational gaps, product issue trends, and assess agent productivity to support leadership in making informed decisions. Your contributions will directly enhance service effectiveness, customer satisfaction, and overall operational efficiency.This role also reinforces Rubrik’s dedication to data protection and cybersecurity by ensuring the accuracy of reports, compliance with governance standards, and safeguarding operational data.What You'll Do:Reporting, Analytics & VisualizationDesign, develop, and maintain dashboards and reports that monitor key metrics such as case volume, SLA attainment, backlog, CSAT, adherence, and agent utilization.Create scalable data models in Tableau or similar BI tools that facilitate self-service data consumption.Collect, analyze, structure, and organize data from Salesforce, SupportLogic, Amazon Connect, WFM platforms, and survey tools.Leverage AI reporting tools to drive data-informed decision-making regarding deflection rates, self-service capabilities, and predictive resolutions.Implement automated reporting pipelines to minimize manual effort.Collaborate with the Data team to develop detailed requirements and address critical reporting and business needs.Identify actionable insights from data trends to recommend and drive strategic process improvements for service delivery leaders.Prepare and present insights for Monthly Business Reviews (MBRs), Quarterly Business Reviews (QBRs), and leadership discussions.Ensure all reporting aligns with data governance policies and security regulations.Operational Insights & Forecasting SupportIdentify trends related to usability and support deficiencies to drive enhancements in product and service delivery.Analyze service delivery performance and customer trends to pinpoint process gaps, resource needs, and optimization opportunities.Support WFM teams with forecasting, staffing analysis, and scheduling insights.

Senior Data EngineerJoin our innovative team at Brillio, where we are dedicated to harnessing the power of data to drive business solutions. As a Senior Data Engineer, you will play a pivotal role in designing and implementing robust data pipelines and architectures that support our AI and data engineering initiatives. Your expertise will help us transform complex data into actionable insights, enabling our clients to make informed decisions. This is an exciting opportunity for professionals who are passionate about data and eager to contribute to cutting-edge projects.

Join Our Team as a Senior Lead Data EngineerAre you an innovative and experienced Data Engineer ready to take the lead in transforming data into actionable insights? At Brillio, we are looking for a Senior Lead Data Engineer who is passionate about leveraging advanced data engineering techniques to drive our AI and data initiatives forward.In this role, you will oversee data architecture, design, and development, ensuring that our data solutions meet business needs while optimizing performance and reliability. Your expertise will guide the team in building robust data pipelines and implementing best practices in data management and governance.

Black Duck Software is hiring a Senior Data Governance Analyst based in Bangalore. This position plays a key role in upholding high standards for data quality, integrity, and compliance across the company. The analyst helps build a workplace where careful data management is a shared priority. Key responsibilities Lead data stewardship efforts to encourage responsible handling of information. Develop and maintain governance frameworks aligned with industry norms. Collaborate with teams to confirm that data processes meet compliance and quality standards. Role impact The Senior Data Governance Analyst strengthens Black Duck Software's data-driven culture by setting up clear governance processes and supporting best practices throughout the organization.

Join Airbnb as a Senior Data Engineer in our Payments team, where you will play a pivotal role in transforming data into actionable insights. As part of our dynamic team, you will design and implement robust data pipelines to support our payment processing systems. Your expertise will help us enhance our data-driven decision-making process, enabling us to deliver a seamless experience for our users.

Join a global team of innovators and trailblazers at New Relic, where we are committed to redefining the realm of observability. Our intelligent platform equips businesses to excel in an AI-driven landscape by providing unparalleled insights into their intricate systems. As we broaden our global reach, we seek passionate individuals eager to contribute to our mission. If you are ready to assist some of the world's leading companies in optimizing their digital applications, we invite you to consider a career with us!Your Opportunity Our Product Analytics team is in search of a Senior Analyst to lead data governance efforts, unveil profound insights into customer and user engagement across our product portfolio, and deliver relevant, actionable intelligence to Product leadership. Our objective is to enhance the analytical capabilities of our product organization, making the most of the vast amounts of business, user, and customer data generated by New Relic.Who You AreYou are a proactive self-starter who thrives in a fast-paced, ambiguous environment. With a keen eye for detail and a strong business acumen, you will collaborate efficiently with partners across Marketing and Sales, Product, and Engineering to craft compelling business narratives and success metrics. You will define and test hypotheses, delivering practical insights through data visualizations. Your success will stem from your ability to maintain a holistic perspective while challenging the status quo. You will ask the tough questions to ensure that the investment of time and resources is justified. What You’ll DoEstablish and promote data governance best practices, ensuring that telemetry data is standardized, documented, and reliable across our product suite.Perform comprehensive data analysis to identify trends, patterns, user behaviors, and their corresponding business impact, informing product development decisions.Develop and maintain a balanced set of KPIs and performance metrics to assess the success of product initiatives, encompassing product adoption, revenue impact, and user/customer retention.Utilize various data analysis tools and methodologies to extract actionable insights from extensive datasets, covering both product usage and financial data.Prepare and present data-driven reports and presentations to stakeholders, illustrating how product enhancements positively impact the bottom line.Serve as a data steward by managing data dictionaries and ensuring a “single source of truth” for core product metrics.Stay updated with best practices in data analysis and data governance.

Join Our Team as a Senior Data EngineerAt Brillio, we are on the lookout for an experienced and innovative Senior Data Engineer to join our AI & Data Engineering department. In this pivotal role, you will leverage your expertise in data architecture, pipelines, and analytics to help drive our data-driven initiatives. You will collaborate with cross-functional teams to design, implement, and optimize complex data solutions that empower our clients to make informed decisions. If you're passionate about building scalable data systems and are eager to work in a fast-paced environment, we want to hear from you!

Position Summary: The Senior Clinical Data Engineer is pivotal in the strategic advancement and enhancement of clinical data systems, ensuring alignment with regulatory standards, facilitating advanced analytics, and promoting operational excellence across global clinical trials. This role spearheads enterprise-level data standardization projects and designs scalable validation frameworks, effectively addressing systemic data challenges. With extensive expertise in programming languages such as Python, R, SQL, and SAS, the engineer develops and sustains modular codebases, establishes coding standards, and provides mentorship to junior engineers. The position also involves ensuring compliance with regulatory requirements such as GCP and FDA 21 CFR Part 11 by creating comprehensive documentation and audit trail protocols. Utilizing dynamic dashboards and analytical tools, the engineer provides actionable insights into trial performance and data quality. Acting as a strategic liaison among Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions, leading the design of secure, high-performance databases and ETL pipelines that integrate data from various clinical systems. Essential Functions: Data Standardization & Mapping: Lead the creation of enterprise-level data mapping strategies to convert raw clinical data into standardized formats for impactful analytics. Ensure governance of data standards across programs for regulatory compliance and consistency. Data Quality Assurance: Develop and implement robust validation frameworks that proactively identify and mitigate systemic data issues, collaborating closely with Clinical Data Managers and cross-functional teams to enhance data integrity across global trials. Programming & Scripting: Design and maintain advanced modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Set coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Regulatory Compliance & Documentation: Lead initiatives to ensure data systems and workflows align with GCP, FDA 21 CFR Part 11, and evolving global regulatory standards. Establish documentation protocols and oversee audit trail governance for inspection readiness. Reporting & Visualization: Develop and operationalize dynamic dashboards and analytics tools, delivering insights into trial performance and data quality.

Join Aspora as a Senior Data Platform Engineer and be a key player in shaping our data architecture and strategy. In this role, you'll leverage advanced data engineering skills to build scalable data platforms that support our data-driven initiatives. Collaborate with cross-functional teams to understand their data needs and deliver innovative solutions.

Join Our Team as a Senior Data Engineer!Are you passionate about data engineering and AI? At Brillio, we are seeking a talented Senior Data Engineer to help us transform the way organizations leverage data. In this role, you will design and implement scalable data solutions, ensuring high-quality data flow and architecture. Collaborate with cross-functional teams to build data pipelines that drive insights and support business decisions. If you're ready to take your career to the next level and make an impact, we want to hear from you!

About UsAt Verve Group, we have revolutionized the advertising landscape by providing a more efficient and privacy-conscious approach to purchasing and monetizing ads. Our innovative ecosystem combines demand and supply technologies, integrating data, media, and technology to achieve remarkable growth and results for both advertisers and publishers worldwide. With 30 global offices and a commitment to serving pioneering advertising clients, our solutions are trusted by over 90 of the top 100 advertisers in the United States and 4,000 publishers globally. Discover more at www.verve.com.About YouWe are seeking a talented Senior Data Engineer to join our dynamic Data Processing team at Verve. This team is integral in designing and maintaining both scalable real-time and batch data processing pipelines that facilitate high-quality insights and analytics. You will collaborate closely with our Data Analytics and Data Science teams to ensure seamless data flow across the organization.In this role, you will be responsible for developing and optimizing data processing workflows, ETL pipelines, and streaming solutions. Attention to detail, efficiency, and high-quality output are crucial, as you will be reporting to the Engineering Manager for Data Processing.If you are passionate about big data technologies, real-time data processing, and enhancing large-scale ETL workflows, we would love to connect with you!This is a hybrid role requiring three days per week in our Bengaluru office.Key ResponsibilitiesDesign, develop, and maintain scalable, efficient, and cost-effective data pipelines for both real-time and batch processing.Create high-performance ETL workflows utilizing Kafka, Apache Spark, and Scala.Implement best practices for data modeling, storage, and retrieval to ensure high availability and reliability.

Join our team as a Senior Lead Data Engineer!As a Senior Lead Data Engineer at Brillio, you will play a pivotal role in designing and implementing data solutions on AWS. You will lead a talented team in the AI & Data Engineering department, driving innovation and ensuring optimal data architecture. Your expertise in data engineering and cloud technologies will be crucial in delivering high-quality data solutions that empower our clients.

Join Our Team as a Senior Data Engineer!At Brillio, we are seeking a talented and experienced Senior Data Engineer to join our dynamic AI & Data Engineering department. In this role, you will be responsible for designing and implementing robust data pipelines, ensuring data quality, and leveraging advanced analytics to drive business insights. If you're passionate about data and want to make an impact in a fast-paced environment, we want to hear from you!

Join Our Dynamic Team as a Lead Data AnalystAt Brillio, we are looking for an experienced Lead Data Analyst to drive analytical excellence across our projects. You will leverage data to influence strategic decisions and contribute to innovative solutions that propel our clients forward. Collaborate with cross-functional teams, utilizing advanced statistical techniques and data visualization tools to provide actionable insights. If you are passionate about data and eager to make a significant impact, we invite you to apply!

Senior Data Scientist - Join our dynamic team at Brillio as a Senior Data Scientist in Bangalore, Karnataka, India. You will leverage your expertise in data analysis and machine learning to drive impactful solutions for our clients. Collaborate with cross-functional teams to extract insights from complex datasets and enhance business strategies. If you are passionate about data and eager to make a difference, we want to hear from you!

Job Title: Senior Data Engineer – System VisualizationJob Summary:We are in search of a talented and experienced Senior Data Engineer specializing in system visualization, with a strong command of data architecture and cloud solutions.The successful candidate will be adept at developing scalable data pipelines and analytics solutions, with a solid understanding of visualization tools and techniques.Key Responsibilities:Design, develop, and maintain robust and scalable data systems and visualizations using modern cloud platforms.Collaborate with data scientists and analysts to create impactful data visuals and dashboards.Optimize data processing and integrate with various data sources, ensuring data integrity and performance.Implement best practices for data governance and security in all data-related projects.Document technical specifications and architecture decisions to maintain project transparency.Required Skills & Qualifications:5–8 years of professional experience in Data Engineering or a related field.Proficient in data visualization tools such as Tableau, Power BI, or similar.Strong programming skills in Python and experience with data frameworks like Apache Spark.Basic understanding of cloud platforms, with hands-on experience in Azure being a plus.Experience in SQL and NoSQL databases.Excellent problem-solving abilities and communication skills.Preferred Qualifications:Familiarity with microservices architecture and data modeling.Experience with Agile/Scrum methodologies.Knowledge of security best practices for data handling.