CrawlJobs Logo

Data Governance Analyst (Data Lake)

India, Pune · Job Posted January 26, 2026
Apply Position
Job Link Share

Job Description

Join us as a Data Governance Analyst (Data Lake) at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

Job Responsibility

  • Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards
  • Monitoring data quality and records metrics and compliance with standards across the organization
  • Identification and addressing of data and records management risks and gaps
  • Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records
  • Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives
  • Provision of Group wide guidance and training on Data and Records Management standard requirements

Requirements

  • Data and Record governance, data controls, data lineage and associated methodologies
  • Experience in data products, cloud and data warehouses
  • Business Domain (Retail or Banking) and Regulatory reporting experience
  • Working in a regulated environment and solid understanding of data and control risk management
  • Hands of experience and knowledge around feature ETL, Data Warehousing, Big Data, Dimensional Modelling, Cloud data products
  • Hands-on experience on Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports
  • Working knowledge in Change Management, Process Excellence, Project Management and functional experience in Data Analysis

Nice to have

  • Understanding of different technologies around the execution of data control
  • Ability to proactively drive change
  • Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders
  • Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls
  • Proficiency in data analytics and insight generation to derive actionable insights from data

What we offer

  • Hybrid working
  • Flexible working arrangements
  • Supportive and inclusive culture and environment
  • Opportunity to embrace mobility and explore operations
  • Chance to learn from a globally diverse mix of colleagues

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Governance Analyst (Data Lake)

8 matching positions

Data Analyst (Oil And Gas)

At Codvo, software and people transformations go hand-in-hand. We are a global e...
Location
Location
Qatar , Doha
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Statistics, or related field
  • 6+ years of experience in data analytics or BI
  • Strong skills in SQL, DAX, and Power BI/Tableau
  • Understanding of ETL pipelines, data lakes, and data governance principles
  • Experience in Python or R for advanced analytics preferred
  • Strong problem-solving and visualization skills
Job Responsibility
Job Responsibility
  • Gather, process, and validate large data sets from multiple sources (SCADA, ERP, IoT, etc.)
  • Develop dashboards and visualizations using Power BI, Tableau, or Qlik
  • Perform data analysis, trend identification, and forecasting to support business initiatives
  • Work with data engineers to ensure data quality and availability within the data lake
  • Automate reporting workflows and create reusable data models
  • Present findings and recommendations to technical and non-technical stakeholders
  • Fulltime
Read More
Arrow Right

Data Analyst

We are looking for a Data Analyst to join a machinery manufacturing organization...
Location
Location
United States , San Antonio
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Business, Computer Science, or a related field
  • At least 3 years of experience working with advanced data modeling and business intelligence tools, including Power BI
  • Hands-on expertise with Azure Synapse Analytics, Microsoft Fabric, and Power BI semantic model development
  • Strong technical skills in T-SQL, Python, ETL processes, and dashboard creation for business reporting
  • Familiarity with Delta Lake, Parquet, data lakes, and lakehouse-style data architecture
  • Ability to communicate effectively with both technical and non-technical teams across operations, engineering, sales, and accounting
  • Proven ability to manage multiple priorities, investigate data issues independently, and deliver accurate work under deadlines
Job Responsibility
Job Responsibility
  • Partner with business intelligence colleagues to shape and deliver analytics initiatives that support organizational objectives
  • Build, enhance, and optimize Power BI semantic models, dashboards, and reporting assets for accuracy, usability, and performance
  • Establish and reinforce standards for data governance, access control, compliance, and stewardship across reporting environments
  • Advance DevOps and CI/CD methods to improve the consistency and efficiency of Power BI development and deployment processes
  • Maintain strong data quality practices by tracking lineage, improving documentation, and validating key data assets
  • Contribute to data integration and transformation efforts involving both established platforms and newer cloud-based environments
  • Meet with stakeholders across departments to gather reporting needs and convert them into scalable business intelligence solutions
  • Offer technical guidance to teammates and collaborate across functions to support enterprise reporting goals
  • Assist with planning activities tied to business intelligence and broader data strategy initiatives
  • Provide after-hours assistance when needed and support additional priority projects as assigned
What we offer
What we offer
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Disability insurance
  • 401(k) plan
  • Free online training
  • Fulltime
Read More
Arrow Right

Business Analyst (Data Program)

Capstone IT is helping our client find a Technology Business Analyst who will br...
Location
Location
United States , Kansas City
Salary
Salary:
Not provided
capstonec.com Logo
Capstone IT Staffing
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or equivalent practical experience
  • 4+ years of technical business analysis experience
  • Strong experience supporting technical data initiatives
  • Background in data warehousing, data lakes, semantic layers, or data products
  • Experience working in Agile environments
  • Ability to write detailed technical requirements and acceptance criteria
  • Familiarity with Jira and Confluence preferred
  • Exposure to GCP, Kafka, Confluent, Apigee, or modern data stack tooling
  • Strong analytical, communication, and problem-solving skills
Job Responsibility
Job Responsibility
  • Act as the liaison between business stakeholders, product owners, and engineering teams
  • Translate business needs into detailed technical requirements and user stories
  • Support delivery of enterprise data platforms, pipelines, governance, and data product initiatives
  • Collaborate with architects and engineers on scalable and compliant data solutions
  • Help define acceptance criteria for data workflows, APIs, pipelines, and platform capabilities
  • Support CI/CD processes, observability practices, and data transformation workflows
  • Ensure solutions align with data governance, security, scalability, and platform standards
  • Participate in prioritization discussions and trade-off analysis to keep initiatives on track
  • Troubleshoot delivery and requirement gaps across technical and business teams
Read More
Arrow Right

Data Lake SME

We are looking for an experienced Data Lake / ETL Engineer with 7+ years of expe...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data engineering, ETL/ELT development, or data lake management
  • Strong expertise in ETL tools (Informatica, Talend, dbt, SSIS, or similar)
  • Hands-on experience with big data ecosystems: Hadoop, Spark, Hive, Presto, Delta Lake, or Iceberg
  • Proficiency with SQL, Python, or Scala for data processing and transformation
  • Experience with cloud data platforms (AWS Glue, Redshift, Azure Synapse, GCP BigQuery)
  • Familiarity with workflow orchestration tools (Airflow, Temporal, Oozie)
  • Bachelor’s or Master’s degree in Computer Science, IT, or related field
Job Responsibility
Job Responsibility
  • Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data
  • Develop and manage ETL/ELT processes for large-scale data processing
  • Optimize storage and retrieval strategies across on-prem and cloud-based data lakes
  • Integrate data from multiple sources (databases, APIs, streaming platforms)
  • Implement real-time and batch processing using Apache Spark, Kafka, or Flink
  • Support metadata management, data lineage, and cataloging
  • Tune queries and pipelines for high performance and cost efficiency
  • Implement partitioning, indexing, and caching strategies for large datasets
  • Automate routine ETL/ELT workflows for reliability and speed
  • Ensure compliance with data governance, privacy, and regulatory standards (GDPR, HIPAA, etc.)
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right

Senior Data Analyst - AWS Platform

The Senior Data Analyst role focuses on leveraging AWS technologies and extensiv...
Location
Location
United States , Pittsburgh
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in a business analyst or data analyst role
  • 5+ years of expert-level SQL skills with experience optimizing queries on very large datasets
  • 5+ years of strong understanding of data warehousing concepts and data modeling
  • 5+ years of experience with AWS analytics technologies, including Redshift, Athena, S3, EC2
  • 5+ years of hands-on experience designing and implementing ETL pipelines and performance tuning
  • 5+ years of experience using scripting languages for data parsing and analysis
  • Bachelor’s degree in Business, Engineering, Statistics, Computer Science, or a related field
Job Responsibility
Job Responsibility
  • Partner with business and technical stakeholders to gather, analyze, and prioritize requirements
  • Translate complex business needs into clear, actionable data and analytics requirements
  • Prepare and deliver business requirements reviews, project updates, and roadblock assessments to senior leadership
  • Participate in strategic and tactical planning discussions with cross-functional teams
  • Actively contribute to BI and analytics implementations across enterprise data platforms, data lakes, and data warehouses
  • Identify and source relevant data across multiple data repositories and efficiently extract, process, and validate it
  • Ensure data accuracy, integrity, and consistency through validation and descriptive statistical analysis
  • Provide detailed guidance on data sources, metrics, and definitions to accelerate analytics and data pipeline development
  • Design, develop, and maintain scalable, automated, and user-friendly dashboards, reports, and analytical tools
  • Develop and maintain artifacts focused on business analysis, KPIs, metrics, and performance reporting
Read More
Arrow Right

AI/Data Governance Analyst

We are looking for a skilled AI/Data Governance Analyst to join our team on a lo...
Location
Location
United States , Cincinnati
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-7 years of experience in data engineering or software development
  • At least 3 years of hands-on expertise with Databricks, Delta Lake, and Spark technologies
  • Proficiency in implementing Unity Catalog for multi-tenant environments
  • Strong understanding of big data optimization techniques and cloud storage solutions
  • Familiarity with CI/CD pipelines and deployment automation tools like GitHub
  • Experience with cloud platforms such as Azure or other similar environments
  • Excellent problem-solving abilities and the capacity to work within Agile teams
Job Responsibility
Job Responsibility
  • Design and develop efficient data pipelines utilizing Databricks Runtime, Delta Lake, and Structured Streaming
  • Establish secure data access and governance protocols using Unity Catalog and workspace controls
  • Integrate and manage data from diverse sources, including APIs and cloud storage platforms
  • Create and maintain workflows using Databricks Workflows and Jobs to streamline processes
  • Implement cost-effective solutions and ensure high performance and scalability on Databricks
  • Collaborate with data scientists and analysts to deliver clean and reliable datasets
  • Support continuous integration and deployment processes for Databricks configurations
  • Optimize big data performance and scalability through advanced techniques
  • Provide technical guidance and troubleshoot issues related to Databricks environments
What we offer
What we offer
  • medical, vision, dental, and life and disability insurance
  • eligible to enroll in our company 401(k) plan
Read More
Arrow Right

Senior Finance and Data Analyst

As part of the talented FP&A team, you will split your time between traditional ...
Location
Location
United States , Mettawa, IL
Salary
Salary:
76300.00 - 110000.00 USD / Year
herbrucks.com Logo
Herbruck Poultry Ranch
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Finance, Data Analytics, Economics, or related field
  • 5–7 years of experience in FP&A, business analytics, or a similar role
  • Advanced Power BI skills (data modeling, DAX, Power Query, dashboard development)
  • Strong financial analysis skills: forecasting, budgeting, variance analysis, and reporting
  • Experience working with data lakes, integrations, or scalable data solutions
  • Strong communication skills with the ability to present insights clearly using data storytelling skills and the ability to influence stakeholders
  • Strong project management capability with the ability to lead initiatives
  • Demonstrated ability to lead initiatives, improve processes, and operate with strong attention to detail
  • Detail-oriented, curious, and proactive in improving processes and challenging assumptions
Job Responsibility
Job Responsibility
  • Lead forecasting, budgeting, variance analysis, and financial reporting processes, delivering insights to senior leadership
  • Serve as the Power BI champion, building scalable dashboards, data models, and visualizations that bring clarity to complex business data
  • Own key financial and operational KPIs by developing and maintaining high-quality analytic models
  • Partner with IT and business teams to design and connect data lakes with key systems, including Oracle Fusion, Salesforce, Sales Optima, and others
  • Drive data governance and quality, ensuring reliable, well-documented, and trusted data sources for decision-making
  • Analyze and improve current FP&A processes, identifying opportunities for automation, efficiency, and standardization
  • Support pricing, marketing, and sales analytics, giving commercial teams better tools to measure performance and drive results
  • Lead or support cross-functional analytics projects that enhance visibility and strategic insights
  • Translate complex analysis into simple, compelling stories for non-financial stakeholders
  • Mentor colleagues on Power BI and analytics best practices, raising the team’s data capabilities
What we offer
What we offer
  • annual discretionary bonus
  • medical
  • dental
  • vision
  • paid vacation
  • 401k (up to 4% match)
  • Health Savings Account (with company contribution)
  • well-being program
  • product purchase discounts
  • Fulltime
Read More
Arrow Right

Data Lake SME

We are looking for an experienced Data Lake / ETL Engineer with 7+ years of expe...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data engineering, ETL/ELT development, or data lake management
  • Strong expertise in ETL tools (Informatica, Talend, dbt, SSIS, or similar)
  • Hands-on experience with big data ecosystems: Hadoop, Spark, Hive, Presto, Delta Lake, or Iceberg
  • Proficiency with SQL, Python, or Scala for data processing and transformation
  • Experience with cloud data platforms (AWS Glue, Redshift, Azure Synapse, GCP BigQuery)
  • Familiarity with workflow orchestration tools (Airflow, Temporal, Oozie)
Job Responsibility
Job Responsibility
  • Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data
  • Develop and manage ETL/ELT processes for large-scale data processing
  • Optimize storage and retrieval strategies across on-prem and cloud-based data lakes
  • Integrate data from multiple sources (databases, APIs, streaming platforms)
  • Implement real-time and batch processing using Apache Spark, Kafka, or Flink
  • Support metadata management, data lineage, and cataloging
  • Tune queries and pipelines for high performance and cost efficiency
  • Implement partitioning, indexing, and caching strategies for large datasets
  • Automate routine ETL/ELT workflows for reliability and speed
  • Ensure compliance with data governance, privacy, and regulatory standards (GDPR, HIPAA, etc.)
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right