20 feb
Teradata
Xico
Our Company
At Teradata, we believe that people thrive when empowered with better information.
That's why we built the most complete cloud analytics and data platform for AI.
By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers' customers—to make better, more confident decisions.
The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
Develop automated dashboards and reports to visualize, monitor and analyze business data using BI tools.
Extract, transform, and load (ETL) data from various sources into BI tools.
Transformations, filters, prompts, Calculated fields, Sets, Groups, Parameters, Graphs, Forecast etc., in BI visualization tool.
Model data by definite tables, define relationship cardinality and cross-filter direction, leverage DAX to build complex measures.
Understanding of various reporting objects and it include Facts, Attributes, Hierarchies.
Configure pipelines that run daily/nightly/weekly for automatic updates of these configurations and automatic reports generation.
Design and develop tool to capture data from different sources using web services API and scripting language.
Clean and preprocess data to ensure accuracy and reliability.
Develop and maintain data models and data flows.
Who You'll Work With
As a core team member of the Cloud Financial Operations team you will collaborate with cross functional teams which encompasses Engineering, Finance, Operations, Product Management, and Procurement to coordinate cost reporting and evaluate the cost effectiveness of cloud spend.
As a greenfield and challenging areas,
the team and this discipline offer scope for dynamic individuals with a penchant for business and solving the complex problems.
Teradata services leverage Cloud Computing infrastructure on Azure, AWS and GCP to build at scale.
2+ years of experience in developing visualization.
Experience in creating data visualizations using Power BI, QuickSight, or Looker.
Proficient in data modeling including ETL processes, DAX Studio, and building data pipeline.
Familiarity with data warehousing concepts and tools (e.g., BigQuery)
Experience in scripting language preferably Python and data analysis library preferably pandas.
Knowledge of databases, data structures from reporting and analytics context.
Excellent verbal and written communication skills.
Ability to work independently and as part of a team in a fast-paced environment.
Knowledge of data governance and data quality practices
What You Will Bring
Holds a degree in IT or related field
Business Intelligence certifications is a plus
Familiarity with cloud platforms like AWS, Azure, or Google Cloud
Excellent problem-solving and analytical skills
Strong communication and interpersonal skills
Team Player
LI-AD1
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.