DatabricksSr. Data Analyst (Tableau)
Req ID: GAQ126R127
The Sr. Data Analyst (Tableau) is key in technological decision-making for business teams’ future data, analysis, and reporting needs. The role supports the business’s daily operations, including troubleshooting the data intelligence warehouse environment and monitoring jobs. It is also the role of the analyst to guide the business in identifying new data needs and to deliver mechanisms for acquiring and reporting such information, as well as to address 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 business’s 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
- Strong communication skills.
- Attention to detail and accuracy.
- Prior experience in Data Engineering is a strong plus.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.