The Sr. Data Analyst (Tableau) is key in technological decision-making for business teams future data analysis and reporting needs. The role supports the businesss daily operations including troubleshooting the businesss data intelligence warehouse environment and job monitoring. It is also the role of the analyst to guide the business in identifying any new data needs and deliver mechanisms for acquiring and reporting such information as well as addressing the actual needs. The Business Intelligence Data Engineer provides expertise to the business in data analysis reporting and business intelligence. You will report to the Director of Business Systems and Data.
The impact you will have:
Design/Strategy: The Sr. Data Analyst designs and supports the businesss reporting needs using Tableau and in the future other BI tools.
Collaboration: The role that the Sr. Data Analyst plays is highly collaborative and as such works closely with Data engineers and business analysts within the business. Also works closely with other disciplines/departments and teams across the industry to develop simple functional and elegant solutions that balance data needs across the business.
Analytics: The senior data Analyst is analytical in quickly and thoroughly analysing business requirements for reporting and analysis translating results into good technical data designs.
What we look for:
6 years of experience with Tableau and BI tools
Proven experience in developing and working with Tableau-driven dashboards and analytics.
Advanced Tableau development skills required
Working knowledge of Tableau administration/architecture.
Ability to query and display large datasets while maximising the performance of the workbook
Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications
Work with business stakeholders to create valuable reports and dashboards that provide insight improve/automate processes or add value to the team.
High-level competency in Excel (macros pivot tables etc.).
Understanding of advanced calculations and statistical functions.
A solid understanding of SQL relational database management systems data modelling and normalisation
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