Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Senior Associate Summary At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems Why PWC At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life Together we grow learn care collaborate and create a future of infinite experiences for each other Learn more At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth To enable this we have zero tolerance for any discrimination and harassment based on the above considerations Summary The role is part of the Data Observability Specialist being part of Enabling Data Platforms with the aim to ensure data systems remain reliable transparent and aligned with organizational goals enabling other teams to confidently use data for decision-making and innovation Chapter ensures that data systems pipelines and models are monitored traceable and optimized for reliability and performance Responsibilities Supporting the implementation of best practices and guidelines for data observability across the organization supporting the alignment of observability aligns with data governance quality and compliance frameworks acting as the bridge between data observability technology and business needs collaborating with data stewards governance teams and business units to ensure data is reliable transparent and accessible training and educating teams on data observability concepts and tools collaborating to define performance indicators KPIs for data health including completeness accuracy timeliness and resources consumption supporting clear visibility into data lineage helping teams understand the origin transformation and usage of data across the ecosystem partnering with Data Governance and Engineering teams to improve lineage tracking and documentation supporting business teams in understanding the impact of data anomalies and outages supporting the response efforts from a functional perspective ensuring that business-critical data remains available and trustworthy using lineage insights to trace root causes of data issues and prevent recurrence monitoring that observability practices align with internal policies and regulatory requirements e g GDPR providing functional insights on data lineage security and compliance implications monitoring that lineage tracking supports auditability and accountability for data governance Mandatory skill sets Must have knowledge skills and experiences 5 years of experience in Data Management Data Quality and possibly Data Engineering hands on experience working with data observability data lineage or data quality frameworks in large-scale organizations hands on experience with data observability tools e g Monte Carlo Soda Great Expectations Collibra Alation Data Bricks Preferred skill sets Good to have knowledge skills and experiences a Bachelor s or Master s degree in Data Management Computer Science Information Systems Business Analytics or a related field strong understanding of data lineage data quality metrics and data monitoring methodologies experience with data platforms and cloud environments AWS Azure or GCP knowledge of SQL and ability to interpret technical data flows an understanding of ETL ELT processes and how data moves across the organization strong problem-solving skills with the ability to analyze data issues and recommend functional improvements excellent communication and stakeholder management skills to translate technical insights into business value excellent written and verbal English familiarity with data observability tools good knowledge of data governance frameworks and standards Positive to have familiarity with data governance frameworks e g DAMA DMBOK DCAM and regulatory compliance e g GDPR Years of experience required Experience and Qualifications 5 Years Education qualification o BE B Tech ME M Tech MBA MCA 60 above Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Engineering Master of Business Administration Master of Engineering Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Data Standardization Optional Skills Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx Automation Platform Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline 38 more Desired Languages If blank desired languages not specified Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date November 22 2025

📌 In-senior Associate Data Observability Specialist Data And Analytics Advisory Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru