Talon. One
DataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst at Talon. One. Skills: Advanced analytics, Reporting, Dashboarding, Data modeling, SQL, Python, Looker. Responsible for all kinds of analysis within the company. Define KPIs and come up with data use cases”
What You'll Achieve.
Help the business in all its operations; Empower the stakeholders to make better decisions; Ensure analysis are being used the right way; Contribute to data validation and quality assurance
Industry & Context.
Advanced analysis; Business-driven decision-making
What They're Looking For.
Must Have
2+ years of experience in the field of data analytics, Proficiency with SQL
Nice to Have
B2B SaaS experience, Advanced experience with dashboarding tools (Looker, Tableau, PowerBI, Metabase etc.), knowledge of how to design, build, and maintain a data model, BigQuery, DBT, Python, Looker, Good understanding of business analytics, Experience in collaboration with stakeholders and translating business requirements into data specifications, dashboards, automated processes, especially in the field of Product, Customer Success, Marketing, and Tech departments, Proactiveness to carry out advanced analysis towards better and business-driven decision-making
What You'll Do.
Responsible for all kinds of analysis within the company
Define KPIs and come up with data use cases
Align on the data strategy
Specify use cases and KPIs
Write requests for the data engineers
Responsible for advanced analytics and reporting
Improve business processes
Empower stakeholders to make better decisions
Be the connector between business stakeholders and the data team
Create advanced analysis on Looker
Deliver analysis to stakeholders
Ensure analysis are being used the right way
Be the owner of the Looker models
and business logic in Looker
Enable self-service analytics
Improve reporting in place
Develop automated processes
Specify new business use cases
Partner closely with Data Engineers on the continuous development of our Data Warehouse
Contribute to data validation and quality assurance
How You'll Work.
Team & Collaboration
Close cooperation with stakeholders from all departments (Marketing, Product, Customer Success, Sales, Management, GTM etc.); Collaborate across all departments; Partner closely with Data Engineers
Communication Scope
Translating business requirements into data specifications
Full Job Description
ABOUT THE ROLE: As a Data Analyst, you will be responsible for all kinds of analysis within the company. You will be in close cooperation with the stakeholders from all departments (Marketing, Product, Customer Success, Sales, Management, GTM etc.), helping us define their KPIs and come up with data use cases that will help the business in all its operations. You will be at the forefront of all synergies between the business and the rest of the data team by aligning on the data strategy, specifying use cases and KPIs, writing requests for the data engineers, etc. Based on the data warehouse models, you will be responsible for advanced analytics and reporting that you will deliver to the whole company. Your main focus will be Product and Customer Success. ONCE YOU ARE HERE YOU WILL: Improve business processes and empower the stakeholders to make better decisions by defining KPIs and coming up with analysis ideas that would benefit the departments Be the connector between the business stakeholders and the data team: align on data strategy, define business use cases, work with the data engineers to grow the DWH, and improve the models Create advanced analysis on Looker (or other tools like Google Colab for Python analysis), deliver them to the stakeholders, maintain them, and ensure they are being used the right way Be the owner of the Looker models, test them, and make them grow by developing new measures, dimensions, and business logic Collaborate across all departments to enable self-service analytics, improve the reporting in place, develop automated processes, and specify new business use cases You will be at the centre of a freshly built modern data stack, can make it grow, and learn new skills and technologies. Partner closely with Data Engineers on the continuous development of our Data Warehouse, directly contributing to data validation and quality assurance WHAT WE NEED YOU TO BRING TO THE TABLE: 2+ years of experience in the field of data analytics, ideally
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