Data Governance Analyst

We are hiring a Senior Data Governance Manager with 5+ years of data-management experience to define and run enterprise data governance policy, quality, metadata, lineage, and cataloging so the business can trust and safely use its data.

Key Responsibilities

• Define and enforce data governance policies and standards

• Own data quality frameworks, monitoring, and remediation

• Manage metadata, data lineage, and cataloging

• Drive master data management (MDM) practices

• Ensure compliance with privacy/regulatory requirements

• Align business and technical stakeholders on standards

Mandatory Skills

• 5+ years in data management with governance ownership

• Data governance frameworks and policy

• Data quality and master data management

• Metadata management and data cataloging

• Strong SQL and data-platform understanding

• Stakeholder alignment and compliance

Nice to Have: Collibra/Informatica/Alation; cloud data platforms (Snowflake, Azure, GCP)

Roles & Responsibilities:-

1. Develop and maintain enterprise data governance strategies, policies, and standards aligned with business goals
2. Manage Microsoft Purview accounts, collections, and RBAC; optimize for large-scale environments (50TB+)
3. Design metadata repositories and maintain business glossaries and data dictionaries
4. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions
5. Define classification rules and sensitivity labels (PII, PCI, PHI); integrate with MIP, DLP, Insider Risk Management
6. Define KPIs and dashboards to monitor data quality across domains
7. Maintain business glossary with domain owners and stewards; enforce approval workflows
8. Automate governance processes using PowerShell, Azure Functions, Logic Apps
9. Set up dashboards for audit logs, compliance reporting, and metadata coverage
10. Collaborate across business, IT, legal, and compliance teams for role alignment

Ideal Candidate:-

1. Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise
2. Mandatory (Experience 1): Must have 7+ years of experience in data governance and data management with at least the recent 3+ years of exposure in Microsoft Purview
3. Mandatory (Experience 2): Must have experience defining, leading, and operationalizing an enterprise data governance framework — strategy, policies, and standards aligned to business goals and regulatory compliance.
4. Mandatory (Tech skill 1): Must be proficient in Microsoft Purview — accounts, collections, RBAC, classification/labelling, DLP, Unified Catalog, Data Map, eDiscovery, Compliance Manager, and lifecycle/records management (ideally at large scale, 50TB+).
5. Mandatory (Tech skill 2): Must be strong in metadata management, lineage mapping (e.g. ADF → Synapse → Power BI), data classification, and security governance (PII/PCI/PHI, sensitivity labels, MIP/DLP)
6. Mandatory (Tech skill 3): Must have experience with data governance tools such as Informatica (Axon), Collibra, Atlan, or IBM IG Catalog.
7. Mandatory (Tech skill 4): Must have experience integrating governance with the Azure data stack (Data Lake, Synapse, SQL DB, Power BI) and Snowflake, and automating via ADF, REST APIs, PowerShell, Azure Functions / Logic Apps.
8. Mandatory (Tech skill 5): Must have experience defining data quality KPIs/dashboards, remediation workflows, and business glossary/stewardship (domain owners, approval workflows, metadata audits)
9. Mandatory (Compliance): Must have strong knowledge of GDPR, CCPA, HIPAA, and SOX compliance requirements.
10. Mandatory (Skill): Must be able to bridge technical governance with business and compliance goals, collaborating across business, IT, legal, and compliance teams, and driving governance training and change management
11. Mandatory (Company): B2B Tech/Consulting/B2B Software

Business Analyst – Data (Insurance)

Job Summary

Looking for a Business Analyst with strong experience in Insurance Data and Data Analytics.

The candidate should understand Policy, Accounting, Data Mapping, Data Quality, and business requirements, and be able to bridge business and engineering teams.

Responsibilities

• Gather and document business requirements.

• Perform source-to-target mapping.

• Define business rules and transformation logic.

• Conduct data analysis and profiling.

• Work with data engineering teams during implementation.

• Define data quality rules.

• Validate delivered datasets with business users.

• Prepare functional specifications and mapping documents.

Must Have Skills •

Business Analysis

• Data Mapping

• Source-to-Target Mapping

• Data Quality

• SQL

• P&C Insurance

• Policy

• Accounting

• Excel

• Requirement Gathering

Preferred

• Claims

• Billing

• Underwriting

• Reinsurance

• Azure

• Snowflake

• Databricks  

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.

The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.

Key Responsibilities

• Collect, clean, organize, and analyze data from multiple sources.
• Identify trends, patterns, anomalies, and business opportunities from data.
• Create dashboards, reports, and visualizations for business teams.
• Track and report key performance indicators (KPIs).
• Perform ad-hoc analysis to support business and management decisions.
• Develop and maintain automated reports where possible.
• Work with stakeholders to understand reporting and analytical requirements.
• Ensure data accuracy, consistency, and quality.
• Present analytical findings in a clear and actionable manner.
• Maintain documentation for reports, dashboards, and data processes.

CAP-190 : Senior Data Analyst

📍Location : Bangalore / Hyderabad / Chennai / Pune / NCR

🧠Experience : 7 - 15 Years

🆔Job Code : CAP-190

🏢Work Type : Hybrid - 3 Days in a Week

About the Client (CODE: CAP)

CAP operates at the forefront of the financial services industry, providing consulting, technology, and digital transformation solutions to leading organizations worldwide. With a focus on innovation, CAP empowers clients to navigate complex regulatory landscapes, optimize operations, and drive business growth. The company fosters a collaborative and agile culture, encouraging continuous learning and excellence.

Key Responsibilities

● Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

Why Join CAP (Code Name)

Join CAP to work on impactful data initiatives within the financial services sector, tackling complex technical challenges and driving meaningful business outcomes. You'll collaborate with talented professionals in a dynamic, agile environment that values innovation and continuous improvement. CAP offers opportunities for professional growth, skill development, and the chance to contribute to high-visibility projects that shape the future of financial technology.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.

Work Mode: WORK FROM OFFICE

Role Descriptions:

• Perform detailed data analysis and support business decision-making
• Gather and document business requirements and translate them into technical specifications
• Work closely with stakeholders to define data needs and reporting requirements
• Create user stories, functional specifications, and support UAT activities
• Ensure alignment between business objectives and data solutions

Required Skills:

• Strong expertise in SQL and data querying
• Proven experience in data analysis, requirement gathering, and stakeholder management
• Ability to translate business requirements into technical solutions and user stories
• Good understanding of data models, reporting, and analytics concepts

Skills: Business Analysis~ORACLE SQL

Locations: ~HYDERABAD~PUNE~

Desire candidate

• Candidate should have valid PF.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Job Overview:

• Designation: SAP MDM / MDG Consultant
• Experience Required: 4 - 8 Years
• Work Location: Mumbai (Work from Office)
• Employment Type: Full-Time, Permanent
• Compensation: 8 - 16 LPA (based on skills & experience)

Job Description:

• Designing and Implementing MDM Solutions: Creating and configuring SAP MDM repositories, defining data models, and developing data quality rules.
• Data Quality Management: Ensuring data accuracy, consistency, and completeness across various SAP systems.
• Data Governance: Developing and enforcing data governance policies, procedures, and standards.
• Data Migration: Planning and executing data migration strategies for SAP implementations and upgrades.
• Collaboration: Working with business users, IT teams, and other stakeholders to gather requirements, resolve issues, and ensure seamless integration of MDM solutions.
• Training and Support: Providing training and support to end-users on MDM best practices, system functionality, and troubleshooting techniques.
• Documentation: Creating and maintaining comprehensive documentation for MDM processes, procedures, and configurations.
• Monitoring and Auditing: Monitoring data quality, identifying discrepancies, and implementing corrective actions.
• Staying Up-to-Date: Keeping abreast of the latest SAP MDM technologies, tools, and best practices.

Key Skills and Qualifications:

• SAP MDM/MDG Experience: Strong knowledge of SAP MDM/MDG (Master Data Governance) concepts and tools.
• Data Governance and Quality: Understanding of data governance principles, data quality management, and data cleansing techniques.
• SAP Knowledge: Familiarity with SAP modules (e.g., Finance, Sales, Materials Management) and their data structures.
• Data Migration Experience: Experience in data migration projects, including data mapping, cleansing, and validation.
• Problem-Solving and Analytical Skills: Ability to analyze complex data issues, identify root causes, and propose effective solutions.
• Communication and Collaboration Skills: Ability to effectively communicate with technical and non-technical audiences and collaborate with diverse teams.
• Project Management Skills: Ability to manage MDM projects, track progress, and meet deadlines.
• Technical Skills: Knowledge of SQL, ABAP (optional), and other relevant technologies.