Data Analyst – Enterprise Data Management | Apply Now at Cornerstone OnDemand | Pune / Hyderaba[...]

Cornerstone OnDemand; Hyderabad, Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Cornerstone OnDemand is hiring a Data Analyst for Enterprise Data Management in Hyderabad, India. This role focuses on ensuring data integrity and governance across systems while collaborating with stakeholders to analyze and optimize enterprise data.

The ideal candidate has 5-7 years of experience, along with strong skills in SQL, Python, Salesforce, Oracle ERP, and data governance frameworks. Join a dynamic team to lead data transformation initiatives.

Qualifications

• 5–7 years of experience as a Data Analyst in enterprise environments.
• Advanced expertise in SQL and data querying.
• Strong scripting skills in Python.
• Experience with Salesforce, Oracle ERP, and Marketo.

Responsibilities

• Analyse and interpret complex datasets from enterprise applications.
• Write and optimize SQL queries across cloud data platforms.
• Collaborate with Data Stewards to resolve governance issues.
• Develop and enhance Tableau dashboards.

Skills

SQL

Python

Data Governance

Data Quality

Data Analysis

Education

Bachelor's degree in a related field

Tools

Salesforce

Oracle ERP

Marketo

Snowflake

Tableau

Job description

Looking to advance your career in enterprise data management? Cornerstone OnDemand is hiring an experienced Data Analyst – Enterprise Data Management to join its dynamic team in India. This office‑based opportunity is ideal for professionals with strong expertise in Data Quality, Data Governance, and Master Data Management (MDM) within large‑scale enterprise environments.

If you have hands‑on experience working with Salesforce, Oracle ERP, Marketo, Snowflake, SQL, Python, and Tableau, this role offers an excellent platform to contribute to enterprise‑wide data transformation initiatives.

Job Location

Pune, Maharashtra / Hyderabad, India (Office‑Based)

Experience Required

5–7 Years

Employment Type

Full‑Time

About the Role

As a Data Analyst within the Enterprise Data Management team, you will play a critical role in ensuring data integrity, governance, and consistency across enterprise systems. You will work extensively with business stakeholders, Data Stewards, and IT teams to analyse, profile, cleanse, and optimize enterprise data across key platforms, including Salesforce, Oracle ERP, and Marketo.

Key Responsibilities

Enterprise Data Analysis

• Analyse and interpret complex datasets from enterprise applications such as Salesforce, Oracle ERP, and Marketo.
• Integrate data from multiple source systems, including Snowflake.
• Identify data inconsistencies, duplication issues, and governance gaps.

SQL & Python Development

• Write and optimize complex SQL queries across cloud data platforms.
• Develop scripts using Python for data transformation, cleansing, and automation.
• Ensure performance optimization and accuracy in data extraction processes.

Data Governance & Data Quality

• Collaborate with Data Stewards to resolve governance issues.
• Perform root cause analysis and implement corrective measures.
• Establish and document data quality standards and policies.
• Support ongoing compliance with enterprise data governance frameworks.

Master Data Management (MDM)

• Assist in maintaining consistent master data across systems.
• Support synchronization between CRM, ERP, and marketing automation tools.
• Contribute to MDM process improvements and automation initiatives.

Data Visualization & Reporting

• Develop, maintain, and enhance Tableau dashboards.
• Translate business requirements into meaningful reports and KPIs.
• Provide data‑driven insights to leadership and cross‑functional teams.

Documentation & Process Improvement

• Document methodologies, data workflows, and governance procedures.
• Identify opportunities for improving data lifecycle processes.
• Recommend scalable solutions for long‑term enterprise data health.

Required Skills & Qualifications

• 5–7 years of experience as a Data Analyst in enterprise environments.
• Advanced expertise in SQL and data querying.
• Strong scripting skills in Python.
• Hands‑on experience with:
  • Salesforce
  • Oracle ERP
  • Marketo
• Strong working knowledge of the Snowflake cloud data platform.
• Proven experience working within a structured Data Governance framework.
• Experience collaborating with Data Stewards and cross‑functional teams.
• Excellent communication and stakeholder management skills.
• Strong analytical thinking, attention to detail, and multitasking ability.

Preferred Qualifications

• Familiarity with Master Data Management (MDM) best practices.
• Experience with data quality or integration tools such as:
  • Syncari
  • Validity
• Experience with Tableau for advanced data visualization.
• Exposure to enterprise data architecture and integration frameworks.

Why Join Cornerstone?

Cornerstone powers workforce agility through its AI‑driven platform, enabling organisations to identify skills gaps, develop talent, and build future‑ready teams. With over 7,000 organisations and 100+ million users globally, Cornerstone operates across 180+ countries.

Company Culture

• Spark Greatness
• Shatter Boundaries
• Share Success

You’ll be part of a collaborative, innovation‑driven culture where data plays a central role in shaping business transformation strategies.

Career Growth Opportunities

This role provides exposure to:

• Large‑scale enterprise data ecosystems
• Cloud‑based data platforms (Snowflake)
• Advanced data governance frameworks
• Cross‑functional global collaboration
• Strategic data quality initiatives

Professionals seeking long‑term growth in Enterprise Data Management, Data Governance, MDM, and Cloud Data Analytics will find this role highly rewarding.

How to Apply

Interested candidates with relevant experience in enterprise data environments, governance frameworks, and cloud platforms are encouraged to apply through the official career portal of Cornerstone OnDemand.

Take the next step in your data career and contribute to building high‑quality, enterprise‑grade data ecosystems.