Senior Data Analyst

Prague - Czech Republic

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Senior Data Analyst you will leverage your expertise to directly impact the financial performance and reporting for our 17 markets by delivering scalable data and reporting assets actionable insights and advanced analytics this role you will work closely with finance teams at various levels of the organization to understand requirements standardize processes and develop reporting. You will also own benchmarking business performance leveraging and optimizing our portfolio of category position solutions. This high-impact role requires a self-starter who is capable of effectively balancing trade-offs between speedy delivery of regulatory requests and long-term investments in strategic data assets in order to enhance growth efficiency and competitive advantage across multiple markets.

Responsibilities:

Strategic Reporting & Visualization: Design and build compelling user-friendly dashboards (e.g. Looker Tableau) that enable key financial reporting and facilitate decision-making for business stakeholders. Define KPI frameworks support standardization of financial processes and ensure metrics align with business objectives.
Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions and high ownership in developing new ones. Championing high standards in communication and deliverables.
Functional Knowledge and Business Acumen: Quickly developing an excellent understanding of the business and its key financial processes and category position asset portfolio. Leveraging AI to document and disseminate knowledge. Building on existing assets to create future success-enablers.
Stakeholder Collaboration & Data Advocacy: Partnering with senior finance and business leaders to co-define key metrics identifying process optimization opportunities and translating analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships as opposed to just providing data.
Prioritization: Aligning analytics efforts with the highest business priorities. Directly engaging finance and business partners in understanding value vs. effort trade-offs. Ensuring that the team is focused on delivering the highest-value work at any given time.
Transparency & Backlog Management: Maintaining clear visibility into the teams project backlog providing regular updates and insights to stakeholders. Actively seeking and incorporating feedback to continuously improve analytics processes and outputs.
Mentorship & Development: Provide guidance and mentorship to junior analysts enhancing their technical skills and fostering a collaborative team environment.
Data & Reporting Consistency: Balancing speed and adherence to SLAs with a commitment to data consistency avoiding redundant work and ensuring alignment with the organizations ethos of a single source of truth and standardized processes for financial and other reporting.
Rigorous Standards in Data Quality: Establishing providing ongoing evaluations and making strategic recommendations on future enhancements in data accuracy validity and velocity both of analytics outputs created internally and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here:

Turn insights into impact!
Looking for a career in data analytics This could be the opportunity for you!

Qualifications :

Bachelors degree in Finance Statistics Mathematics Economics Computer Science or a related field.
5 years of experience in financial or data analytics with a strong focus on SQL data modeling reporting and data visualization.
3 years of experience with Financial datasets and a solid understanding of the business processes driving controlling risk payments and other key finance functions.
Proven track record of developing data assets reporting solutions and strategic insights to drive growth efficiency and/or cost savings.
Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau. Familiarity with dbt and SAP is a plus.
Strong analytical and problem-solving skills with experience in translating data and financial requirements into effective solutions
Demonstrated success in building and scaling analytics solutions in dynamic fast-paced environments.
Strong business acumen with excellent communication and presentation skills.
Ability to work independently on complex projects and deliver high-impact results in a fast-paced environment.
Experience with market analysis and competitive intelligence (ex. Nielsen AlphaSense or similar) would be a plus.

To help us review applications consistently please attach a copy of your resume in English. We appreciate your effort and look forward to learning more about you!

Additional Information :

Remote Work :

Employment Type :

Full-time

As a Senior Data Analyst you will leverage your expertise to directly impact the financial performance and reporting for our 17 markets by delivering scalable data and reporting assets actionable insights and advanced analytics this role you will work closely with finance teams at various levels of...

Responsibilities:

Strategic Reporting & Visualization: Design and build compelling user-friendly dashboards (e.g. Looker Tableau) that enable key financial reporting and facilitate decision-making for business stakeholders. Define KPI frameworks support standardization of financial processes and ensure metrics align with business objectives.
Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions and high ownership in developing new ones. Championing high standards in communication and deliverables.
Functional Knowledge and Business Acumen: Quickly developing an excellent understanding of the business and its key financial processes and category position asset portfolio. Leveraging AI to document and disseminate knowledge. Building on existing assets to create future success-enablers.
Stakeholder Collaboration & Data Advocacy: Partnering with senior finance and business leaders to co-define key metrics identifying process optimization opportunities and translating analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships as opposed to just providing data.
Prioritization: Aligning analytics efforts with the highest business priorities. Directly engaging finance and business partners in understanding value vs. effort trade-offs. Ensuring that the team is focused on delivering the highest-value work at any given time.
Transparency & Backlog Management: Maintaining clear visibility into the teams project backlog providing regular updates and insights to stakeholders. Actively seeking and incorporating feedback to continuously improve analytics processes and outputs.
Mentorship & Development: Provide guidance and mentorship to junior analysts enhancing their technical skills and fostering a collaborative team environment.
Data & Reporting Consistency: Balancing speed and adherence to SLAs with a commitment to data consistency avoiding redundant work and ensuring alignment with the organizations ethos of a single source of truth and standardized processes for financial and other reporting.
Rigorous Standards in Data Quality: Establishing providing ongoing evaluations and making strategic recommendations on future enhancements in data accuracy validity and velocity both of analytics outputs created internally and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here:

Turn insights into impact!
Looking for a career in data analytics This could be the opportunity for you!

Qualifications :

Bachelors degree in Finance Statistics Mathematics Economics Computer Science or a related field.
5 years of experience in financial or data analytics with a strong focus on SQL data modeling reporting and data visualization.
3 years of experience with Financial datasets and a solid understanding of the business processes driving controlling risk payments and other key finance functions.
Proven track record of developing data assets reporting solutions and strategic insights to drive growth efficiency and/or cost savings.
Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau. Familiarity with dbt and SAP is a plus.
Strong analytical and problem-solving skills with experience in translating data and financial requirements into effective solutions
Demonstrated success in building and scaling analytics solutions in dynamic fast-paced environments.
Strong business acumen with excellent communication and presentation skills.
Ability to work independently on complex projects and deliver high-impact results in a fast-paced environment.
Experience with market analysis and competitive intelligence (ex. Nielsen AlphaSense or similar) would be a plus.

To help us review applications consistently please attach a copy of your resume in English. We appreciate your effort and look forward to learning more about you!

Additional Information :

Remote Work :

Employment Type :

Full-time

Key Skills

Databases
Data Analytics
Microsoft Access
SQL
Power BI
R
Tableau
Data Management
Data Mining
SAS
Data Analysis Skills
Analytics

Apply Now

About Company

Delivery Hero

As the worlds leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europes largest tech platforms, we enable ambitious talent to del ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click