A Client of Analytics VidhyaUnited States INR 1 - 2 LPA Experience : 8 YRS. Openings: 3
Position: BI Architect
Industry: Financial, Telecommunications, High Technology
Employment Type: Full-time
Visa Sponsorship: Available for on-site client work
Fundamental Competency: Proficiency at developing intricate and well-defined data visualization, analytics and reporting architectures using one or more of the following technologies: Microstrategy, Tableau, SSAS/SSRS and Qlikview to maximize potential of data assets paired with a complete understanding of data management processes and implementation lifecycle to ensure successful end-to-end project execution.
Position Overview: The Business Intelligence Architect will be responsible for leading data visualization and reporting initiatives for Exusia’s clients using both on-premise technology and Exusia’s cloud delivery model while working alongside a diverse and talented on-site/off-site project team ensuring a smooth process and acting as a contact between Exusia’s consultants and the client’s employees that can be spread across offices and regions.
analytics, business intelligence, data management, microstrategy, qlikview, sql, ssrs, tableau
Analytics VidhyaGurugram INR 1 - 2 LPA
What is the hiring process? Because, we got more than 1000 application, a simple process would not work anymore. So, there is a new format of selection: The first round will be technical skill assessment – and what could be more appropriate than our DataHack platform. This round would includSee More
A Client of Analytics VidhyaGurugram INR 0 - 1 LPA
The intern will be expected to work on the following Building a data pipe line of extracting data from multiple sources, and organize the data into a relational data warehouse. Build fact tables with measures and dimensions from granular data. Build Vizualizations on Tableau. SenSee More
A Client of Analytics VidhyaBengaluru INR 3 - 10 LPA
Job Responsibilities:•Design & build machine learning algorithms to solve business problems using different techniques like clustering, recommendation, classification.•Develop statistical or machine-assisted approaches to problems at massive scale.•Build models to solve business problems such asSee More