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Data Analyst Intern at HP Law
Sant Cugat del Vallès, Catalonia, Spain -
Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Statistical Process Control, Predictive Statistical Analysis, Linear Regression, Time Series Analysis, Clustering, Machine Learning, Process Optimization, Lean, Six Sigma, Data Preparation, Data Wrangling, Data Transformation, Power BI, Python, Exploratory Data Analysis

Industry

IT Services and IT Consulting

Description
Partner with cross-functional teams to understand business goals and translate them into data-driven visual solutions. Collaborate on data preparation, wrangling and transformation to ensure accuracy and integrity of visual outputs. Design and develop interactive dashboards and reports using tools like Power BI and Python ( e.g., Matplotlib, Seaborn, Plotly) Build intuitive visualizations that simplify complex datasets and tell compelling stories to a diverse audience Perform exploratory data analysis (EDA) to uncover trends, correlations and actionable insights using Statistical Techniques (e.g., Descriptive Statistical Analysis, Correlation Analysis, ANOVA) Currently pursuing a Bachelor's or Master's degree in Data Engineering, Computer Engineering, Industrial Engineering, Artificial Intelligence, or Telecommunication Engineering. Strong knowledge of Data Analysis and Statistical Process Control (SPC), with familiarity in Predictive Statistical Analysis Techniques (Linear Regression, Time Series Analysis, Clustering, Machine Learning). Experience in Process Optimization (Lean, Six Sigma) and ability to work with Process Simulation tools (e.g., Bizagi). Proficiency in English (written and spoken). Critical thinking, problem-solving, attention to detail, and strong collaboration skills to thrive in a cross-functional team environment.

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Responsibilities
Partner with cross-functional teams to understand business goals and translate them into data-driven visual solutions. Design and develop interactive dashboards and reports to simplify complex datasets and tell compelling stories.