Domain 1: Perform Discovery and Determine Scope
Analyze data via SQL queries to assess structure, granularity, quality, and fit for analytics.
Gather, document, and validate detailed business requirements.
Brainstorm, define, and document innovative, actionable analytics and KPIs.
Prepare high-level project plans including required activities, resources, and timeframes.
Given a scenario, recommend the appropriate analytics delivery method.
Know and understand how and when to recommend Tableau Desktop, Tableau Server, Tableau Online, Tableau Mobile, and Embedded Analytics options.
Domain 2: Evaluate, Prepare, and Connect to Data
Understand and recommend where relevant Tableau’s data management products – e.g., Tableau Prep, Server Add-on, Data Catalog, Bridge.
Plan and implement Tableau connections to data sources, particularly Cloud data warehouses such as Snowflake, Redshift, Google Cloud SQL, and Azure SQL.
Collaborate with data engineers and architects to prepare efficient data sets aligned with requirements.
Create views and aggregate data sets within Cloud data warehouses such as Snowflake & Redshift.
Create data structures and transformations via Tableau joins, unions, functions, and data curation.
Plan, implement, publish, and schedule Tableau data extracts.
Domain 3: Plan and Implement Calculations
Recommend an efficient calculation method – via Tableau or Data Warehouse.
Create Tableau calculations – e.g., dates, aggregates, logical, table calcs, functions.
Create LOD expressions and ensure correct order of operations.
Analyze and validate results.
Domain 4: Design and Develop Dashboards
Plan and implement performance best practices.
Recommend and develop optimal visualizations for insightful, actionable business use.
Design dashboards based on visual analytics best practices and business requirements.
Collaborate with business stakeholders to design and iterate insightful dashboards.
Build interactivity into dashboards – e.g., parameters, actions, navigation – for ease-of-use.
Support User Acceptance Testing (UAT), performance testing (load times), and deployment.
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
- 3-6+ years of relevant experience.
- Advanced skills in SQL queries.
- Effective communications, both written and verbal.
- Data story-telling abilities and analytical curiosity.
- Work independently under time constraints.
- Adaptable to changing priorities.
- Strong attention to detail.
Other Desired Qualifications:
- Tableau certifications.
- Advanced degree in an analytics-related field.
- Strong knowledge of Cloud Data Warehouses – Snowflake, Redshift, Google, Azure.
- Python skills in full-stack environments (data preparation to visualizations).
Click the following link for more information on your rights as an Applicant – http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion.
Visit us at www.capgemini.com. People matter, results count.