6 Opening(s)
7.4 Year(s) To 13.0 Year(s)
20.00 LPA TO 26.00 LPA
Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. ...
1 Opening(s)
7.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Overview: The Power BI Lead will oversee the development and implementation of business intelligence solutions using Power BI. This role involves leading a team of analysts, collaborating with stakeholders to understand their data needs, and ensuring the delivery of high-quality, insightful reports and dashboards.
Responsibilities:
Lead the design, development, and maintenance ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Your Key Responsibilities:
• Collaborate with the global Emerging Technology & Analytics team colleagues in research projects pertaining to new business or client mandates involving sourcing, analysis, and reporting of data and insights tied to the concerned business objectives
• Deliver market and audience intelligence, including social and digital landscape analysis, ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Designation: Data Engineer- Informatica developer
Job Location: Bangalore(Hybrid)
Experience: 4-6 Years
Job Description
About the Role
Design, develop, and implement data integration workflows using Informatica PowerCenter or other Informatica products.2. Collaborate with business analysts, data architects, and project managers to gather and analyze requirements, translating them into technical specifications and data integration workflows.3. Build and maintain ETL ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Experience & Skills:
Essential:
Experience of data governance and other data management activities
Good knowledge of industry standards and regulations on data management (i.e., DCAM, BCBS 239, etc.)
Experience in managing the work of others to deliver against demands
Experience in managing data governance demands and delivery of data governance services
Skilled at driving and executing a ...
2 Opening(s)
5.0 Year(s) To 12.0 Year(s)
9.00 LPA TO 25.00 LPA
Summary
We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in data engineering, with a strong focus on Databricks, Python, and SQL. As a Data Engineer you will play a crucial role in designing, developing, and maintaining our ...
1 Opening(s)
6.0 Year(s) To 8.0 Year(s)
16.00 LPA TO 18.00 LPA
6 to 8 years of relevant experience in Data Modeling, preferably in large databases.
Strong experience with Talend is a must.
In-depth understanding of RDBMS Concepts, Data Analysis, and SQL.
Should be technically strong in relational databases and able to provide design approaches.
Prior experience in working in a large Enterprise Data Warehouse is ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
12.00 LPA TO 14.00 LPA
Role overview:
As an MIS team member, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights and support data-driven decision-making within an organization. You will work with large and complex datasets, utilize various data analysis techniques, and collaborate with cross-functional teams to extract meaningful information from ...
2 Opening(s)
3.0 Year(s) To 7.0 Year(s)
4.00 LPA TO 9.00 LPA
Responsibilities:
Create Tableau reports/dashboards that provide insight.
Maintain complex Tableau reports for scalability and performance.
Understand the data structure and prep the data for Analytics.
Review and improvise the analytics on the dashboards.
Showcase the dashboards to the management and gather comments.
Provide optimal resolution for constraints faced by the tableau developers.
Skills-Sets Required:
Tableau Dashboard Development.
Tableau server ...
2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.00 LPA TO 16.00 LPA
Responsibilities:
ML model development.
Graph Analytics.
Data/Semantic modeling.
Graph databases.
Research and develop statistical learning models for data analysis.
Collaborate with product management and engineering departments to understand company needs and devise possible solutions.
Keep up-to-date with the latest technology trends.
Communicate results and ideas to key decision makers.
Implement new statistical or other mathematical methodologies as needed for ...