Talon. One

DataAnalyst

Berlin, Berlin, Germany
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Analyst at Talon. One. Skills: Data Analysis, SQL, Looker, Stakeholder Management. Perform analysis within company. Define KPIs”

What You'll Achieve.

Define KPIs; Come up with data use cases; Help business in operations; Align on data strategy; Specify use cases and KPIs; Write requests for data engineers; Deliver advanced analytics and reporting; Improve business processes; Empower stakeholders; Define KPIs; Come up with analysis ideas; Align on data strategy; Define business use cases; Work with data engineers; Grow DWH; Improve models; Create advanced analysis; Deliver analysis to stakeholders; Maintain analysis; Ensure analysis is used; Owner of Looker models; Test Looker models; Develop new measures; Develop new dimensions; Develop business logic; Enable self-service analytics; Improve reporting; Develop automated processes; Specify new business use cases; Grow modern data stack; Learn new skills; Learn new technologies; Contribute to data validation; Contribute to quality assurance

Industry & Context.

Problems you'll solve

Advanced analysis; Business-driven decision-making

Eligibility Requirements

Freedom to work from abroad for up to 90 days worldwide

What They're Looking For.

Must Have

2+ years of experience in data analytics, Advanced experience with dashboarding tools, Knowledge of how to design, build, and maintain a data model, Proficiency with SQL, Good understanding of business analytics, Experience in collaboration with stakeholders, Translating business requirements into data specifications

Nice to Have

B2B SaaS experience, Tableau, PowerBI, Metabase, BigQuery, DBT, Python, Looker, Curious and passionate about data, Widen knowledge of modern data stack, Learn new skills and technologies, Product, Customer Success, Marketing, Tech departments

What You'll Do.

Perform analysis within company

Come up with data use cases

Align on data strategy

Specify use cases and KPIs

Write requests for data engineers

Perform advanced analytics

Deliver reporting to company

Improve business processes

Come up with analysis ideas

Align on data strategy

Define business use cases

Work with data engineers

Create advanced analysis

Deliver analysis to stakeholders

Ensure analysis is used

Owner of Looker models

Develop new dimensions

Develop business logic

Collaborate across departments

Enable self-service analytics

Develop automated processes

Specify new business use cases

Grow modern data stack

Learn new technologies

Partner closely with Data Engineers

Contribute to data validation

Contribute to quality assurance

How You'll Work.

Team & Collaboration

Close cooperation with stakeholders; Connector between business stakeholders and data team; Collaborate across all departments; Partner closely with Data Engineers

Communication Scope

Translating business requirements

Full Job Description

ABOUT TALON.ONE: Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data. Today, over 250 of the world’s most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers. 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-servi

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