Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 40.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze large datasets using SQL, Python, and Tableau, develop dashboards, and transform data into strategic recommendations to optimize business decisions.
Job Technologies
Your role in the team
As a Data Analyst, your main task is to transform data into insights that serve as a basis for business decisions.
This role requires strong analytical skills, effective communication, and a proactive approach to continuous improvement of the Data Analytics function.
You use SQL, Python, and Tableau to develop and maintain data-driven dashboards, automate core reporting processes, and conduct in-depth analyses that support our sales, finance, and product strategies.
Data Analysis & Reporting
- Development of advanced SQL queries for data analysis from AWS Redshift, financial systems, and other sources.
- Design and maintenance of Tableau dashboards that provide clear visual insights for cross-functional stakeholders.
- Use of Python for data preparation, automation, and, if necessary, for deeper statistical analyses.
Collaboration & Stakeholder Engagement
- Close collaboration with sales, finance, technology, and product teams to gather requirements and deliver analytics solutions.
- Presentation of insights and recommendations in a clear, concise manner for both technical and non-technical audiences.
- Collaboration with other teams to resolve data quality issues and optimize data pipelines.
Data Integrity & Process Optimization
- Ensuring data accuracy and consistency across various reporting platforms, investigating discrepancies, and proposing solutions.
- Maintenance of the documentation of analysis processes, methods, and dashboards for future use.
Continuous Improvement & Innovation
- Exchange with international analytics teams on best practices, emerging technologies, and new analytics tools.
- Identification of opportunities for automating workflows, exploring new data sources, and deploying advanced analytics techniques to enhance overall efficiency.
- Support of the Data Management team in daily operations as well as in larger strategic initiatives.
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Our expectations of you
Education
- Degree in a relevant field (e.g., Computer Science, Data Analytics) or equivalent practical experience.
Qualifications
- Strong SQL skills, including experience working with large datasets.
- Basic knowledge of Python, especially for data analysis and scripting.
- Solid understanding of data modeling and ETL concepts.
- Ability to collaborate in cross-functional teams and translate data analyses into strategic recommendations.
Experience
- At least 2 years of professional experience in Data Analytics or a closely related field.
- Experience in Python for scripting, automation, and advanced analytics.
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Benefits
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This is your employer
Lexisnexis
Wien
LexisNexis is one of the world's leading providers of business and legal information for professionals in the fields of law, risk management, government, accounting and universities. LexisNexis is a Reed Elsevier Group company and has 15,000 employees serving customers in more than 100 countries
Description
- Company Size
- 250+ Employees
- Founding year
- 1946
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing, Law, Finance, Economics