3,486 reference data analyst jobs in India.

... notify your current manager. Please refer to the Employee Transfers Guidelines posted on Skylink. Description We are seeking a seasoned Cybersecurity Engineer/Analyst to help strengthen and mature our organization’s security posture. This role will be responsible for implementing, managing, and optimizing a wide range of ...

... implementing AI-enabled solutions and BI tools to automate reporting, forecasting, and financial analysis processes Maintain automation mindset to streamline data sources and data lakes to drive Process optimization initiatives to create efficiency Contribute team playing, creative thinking and solutions that help achieve ...

Brief We are looking for a smart, curious and detail-oriented Business Analyst – Enterprise Solutions to join the Growth team. This role is ideal for someone at the beginning of their career who wants to build strong foundations in business analysis, enterprise consulting, solution design and client engagement. Working ...

... years of experience in Data Engineering, Distributed Systems, or Data Platform development.- Strong experience owning large-scale production systems end-to-end.- Data Engineering Expertise : Strong hands-on experience with : Apache Spark, Kafka, Flink, Airflow, Distributed Data Processing, Batch and Streaming https://jobeax.com/link/8G4qHtRR06EBVYRg ...

... communication, and customer service skills. Good to Have: Salesforce Administrator or Platform App Builder certification. Experience with Salesforce integrations and data migration tools (Data Loader, Workbench). Exposure to Agile/Scrum environments. Skills: Salesforce CRM, SFDC Support, L2 Support, Apex, Visualforce, Lightning, ...

... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...

... defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience using very large datasets - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI ...

... structured and accurate manner. As a Business Analyst, the candidate will play a key role in the development of key business metrics, reports and insights using data visualization, as https://jobeax.com/link/RtrAhxa0f94qF7WQ Analyst will be expected to be skilled in understanding customer needs, converting them to analysis ...

... experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar Experience in data analytics or automation If you have a disability and need a workplace accommodation or adjustment ...

... reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. Telecom Invented. Senior Data Scientist The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (10-12 years of experience). We are looking for Senior Data Scientist who will ...

... architecture, data architecture, platform engineering, or closely related technology roles. - Strong experience designing modern data platforms, preferably using Databricks, Delta Lake, and Unity Catalog . - Solid understanding of lakehouse architecture, data governance, metadata management, data products, and semantic modeling. ...

... rules, and dashboards to improve coverage across the MITRE ATT&CK framework. Identify log source gaps and work with IT and infrastructure teams to onboard missing data sources into the SIEM. Automate repetitive triage tasks through SOAR playbooks (e.g. Cortex XSOAR, Sentinel Logic Apps) to improve analyst efficiency and reduce ...

... Analytics, and custom dashboards. Assemble and manage large, complex datasets that meet functional and non-functional business requirements. Implement and maintain data quality frameworks using tools such as dbt tests and monitoring solutions. Collaborate with business intelligence analysts, data scientists and business stakeholders ...

We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation. You will mentor junior ...

... leverages data analytics and visualization to drive standardization & automation on projects, and develops plug and play tools for Finance teams. The business analyst is responsible for deriving deep insights about various business functions and driving continuous improvement using data. They should have a detailed understanding ...

... ensuring scalability, reliability, and seamless integration with EMR/EHR systems. Align AI systems with interoperability standards such as HL7, FHIR, and healthcare data formats. Unstructured Data Processing: ~ Process and analyze unstructured healthcare data, including clinical notes, audio transcriptions, and diagnostic imaging, ...

... experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar Experience in data analytics or automation If you have a disability and need a workplace accommodation or adjustment ...

The ideal candidate should possess experience with ETL, data and reporting; and contributing code to deliver new features and functionality. Day-to-day you will collaborate with engineers, product managers, designers, marketing, operations, and customer experience teams. This role is integral to our client's team which ...

... Data Governance & Processing : Implement data versioning, incremental processing, and ensure high data quality, consistency, and governance standards.- Azure Data Platform : Utilize Azure services such as Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault to build secure, scalable data solutions.- Application ...

... deliverables to verify alignment with reference architectures coding standards and reusable patterns while highlighting improvement opportunities Drive adoption of metadata management practices by defining standards for lineage tracking impact analysis and documentation of data assets across the ecosystem Mentor team members by sharing ...