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Data Analyst at Inetum

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Tableau, Power BI, Python, Pandas, Data Analysis, Statistical Methods, ETL Pipelines, Data Warehousing, PySpark, Presto, Airflow, Power Query, DAX, Data Visualization, Descriptive Statistics, Hypothesis Testing

Industry

IT Services and IT Consulting

Description

Company Description Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic and inclusive work environment that values diversity, where creativity and collaboration can thrive. We are present in 19 countries and have more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be part of Inetum! Job Description Identify business problems and propose data-driven solutions to support decision-making and growth Retrieve, clean, prepare, and analyze complex datasets from multiple sources Design and implement analyses using statistical methods and data models Develop reports, dashboards, and visualizations following best practices (Tableau, Power BI) Build automated tools and solutions to deliver recurring insights efficiently Contribute to data feed industrialization, ETL pipelines, and data warehousing processes Translate business requirements into technical specifications for the development team Communicate complex analytical results clearly to both technical and non-technical stakeholders Collaborate closely with traders, sales teams, business sponsors, and technical teams Qualifications Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field Professional experience with data visualization tools such as Tableau and/or Power BI Professional experience in data analysis using programming languages, preferably Python (Pandas) Strong ability to analyze, synthesize, and simplify complex information Knowledge of descriptive statistics and hypothesis testing is a plus Familiarity with Big Data technologies such as PySpark, Presto, and Airflow is a plus Knowledge of Power Query and DAX is a plus Fluent in English

Responsibilities

The role involves identifying business problems and implementing data-driven solutions through the analysis of complex datasets. Responsibilities include developing dashboards, automating insights, and collaborating with stakeholders to translate business requirements into technical specifications.