Data Analyst Specialist
hace 1 día
About HORSE
">HORSE is a renowned global leader in the automotive industry, dedicated to pioneering innovative low-emission and alternative-fuel power solutions. With a presence across seven countries, our mission is to drive the transition to a sustainable future by developing cutting-edge hybrid, synthetic, and hydrogen-fueled powertrains.
">We believe in a pragmatic approach to decarbonization, recognizing that there is no one-size-fits-all solution to sustainable mobility. Our success is driven by a culture of innovation, collaboration, and inclusivity, ensuring that every team member feels valued and empowered. We foster a global footprint that not only drives technological advancement but also generates opportunities for personal and professional growth.
">Your Role at HORSE
">You will be working with automated tools to extract data from primary and secondary sources, removing corrupted data, fixing coding errors, and related problems. Your responsibilities will include developing and maintaining databases and data systems – reorganizing data in a readable format.
">You will perform analysis to assess the quality and meaning of data, filtering it by reviewing reports and performance indicators to identify and correct code problems. You will use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for diagnosis and prediction.
">Key Responsibilities:
">- ">
- Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time. ">
- Analyze local and global trends that impact both the organization and the industry. ">
- Prepare reports for management stating trends, patterns, and predictions using relevant data. ">
- Work with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. ">
- Prepare final analysis reports for stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends. ">
What We Are Looking For
">We require high-level experience in the software project lifecycle, including requirements gathering, vendor selection, implementation, testing, and deployment.
">Data Cleaning and Preparation: This includes removing errors, identifying outliers, and transforming data into a format that can be analyzed.
">Data Analysis and Exploration: This includes using statistical methods to test hypotheses, identify trends, and make predictions.
">Statistical Analysis: Familiarity with mean, median, variance, standard deviation, correlation, regression, and hypothesis testing is fundamental.
">Proficiency with Python: Libraries like pandas, numpy, and scikit-learn are essential for data manipulation and analysis.
">Database Management: Ability to query databases using SQL is essential for extracting data.
">Compensation
">The estimated annual salary range for this position is $85,000-$110,000 depending on location and experience.
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