Job Openings Tableau resource

About the job Tableau resource

  • Must have at least 6 years of solid experience in data and analytics dashboard and reports development using Tableau (mandatory) Tableau certification is an added advantage.
  • Must have at least 6 years of solid experience in SQL development and can write complex SQL queries, views, and stored procedures (mandatory)
  • Must have a working knowledge of different types of charts, tables, filters, calculated fields, parameters, functions, blending, LODs, etc. in Tableau (mandatory)
  • Knowledge in data governance, data quality and data security for dashboards and reports.
  • Must have good UX/UI knowledge and design best-in-class visualization for customers harnessing all product capabilities.
  • Hands-on experience in ETL, DBT, and Python is an added advantage.
  • Knowledge of leading large-scale data warehousing and analytics projects using Snowflake on the AWS cloud platform.
  • Ability to build complex interactive dashboards using different data sources in Tableau.
  • Demonstrate strength in data modeling, with snowflake data warehousing experience.
  • Must have strong business acumen and demonstrated an aptitude for analytics that incite action.
  • Perform data analysis, design analytics dashboards, and deliver the same in alignment with Global standards and guidelines.
  • Strong technical knowledge to interact with the internal data team, and leaders and understand data flows, and pipelines that integrate into Tableau/analytics.
  • Strong domain knowledge in Sales, Finance, and Marketing is an added advantage.
  • Strong analytical skills and enjoys solving complex technical problems.
  • Must have a solid presentation, communication (on complex technical solutions), and interpersonal skills
  • Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations.
  • Strong analytical and problem-solving skills
  • Strong verbal and business communication skills
  • Skill in identifying data issues and anomalies during the analysis
  • Ability to manage multiple priorities in a fast-paced environment.
  • Must be a strong team player/leader