Senior Data Analyst

Grid Dynamics; Hyderabad; Presencial; INR 1.200.000 - 2.200.000; Tempo integral

Resumo da vaga

Grid Dynamics in Hyderabad invites experienced data professionals to join as data analytics/engineering specialists. You will leverage SQL, data modeling, pipelines, and cloud platforms to deliver scalable data solutions across business units.

Candidate should be proficient with Databricks, BI tools like Power BI/Tableau, and have Agile delivery mindset. Independent work style and strong communication with stakeholders are essential for success.

Qualificações

• Experience in data analytics, data engineering, BI, or data warehousing.
• Strong SQL skills and ability to analyze large datasets.
• Hands-on data modeling, pipelines, transformations, and architecture.
• Experience with Databricks and major cloud platforms (Azure/AWS/GCP).
• Experience with BI/semantic layers like Power BI, Tableau, Cognos, SSAS.
• Experience using AI-enabled data tools such as Databricks Genie and Cursor.
• Strong analytical and problem-solving skills with translating business requirements into data solutions.
• Familiarity with Agile/Scrum or Kanban delivery.
• Ability to work independently and communicate with technical and business stakeholders.
• Experience in supply chain data is preferred.
• Ability to quickly understand enterprise data landscape and deliver.

Conhecimentos

SQL

Data modeling

Data pipelines

Data transformations

Data architecture

Analytical thinking

Agile / Scrum / Kanban

Communication

Supply chain data experience

Data landscape understanding

Full lifecycle data projects

Data standards

Ferramentas

Databricks

Azure

AWS

Google Cloud

Power BI

Tableau

Cognos

SSAS

Azure Analysis Services

Databricks Genie

Cursor

Descrição da vaga

• 5+ years of experience in Data Analytics, Data Engineering, BI, Data Warehousing, or related disciplines.
• Strong SQL skills and experience analyzing large, complex datasets.
• Hands-on experience with data modeling, data pipelines, transformations, and data architecture.
• Experience with modern data/cloud platforms, particularly Databricks, as well as Azure, AWS, or Google Cloud.
• Experience supporting BI and semantic-layer technologies such as Power BI, Tableau, Cognos, SSAS, or Azure Analysis Services.
• Experience using AI-enabled data and development tools, including Databricks Genie and Cursor, to accelerate data analysis, development, and solution delivery.
• Strong analytical and problem-solving skills with the ability to translate business processes and requirements into data solutions.
• Experience working in Agile/Scrum or Kanban delivery environments.
• Ability to work independently, manage deliverables, and communicate effectively with both technical and business stakeholders.
• Supply chain, order fulfillment, order management, or related enterprise data experience is preferred.
• Able to quickly understand an existing enterprise data landscape and become productive with limited oversight.
• Comfortable working hands-on across analysis, solution design, engineering, testing, documentation, and implementation.
• Expected to deliver maintainable solutions aligned with established architecture and data standards.