Data Scientist

XOrithm

At Xorithm, we transform bright ideas into data-driven realities. We bridge the gap between raw data and impactful technology solutions. Our b>Data Analysts play a crucial role in transforming vast amounts of data into actionable insights that fuel informed business decisions. br>

Responsibilities:

• Partner with business stakeholders to understand their data needs and translate them into actionable data analysis plans.
• Write and execute SQL queries to extract and transform data from various sources (databases, applications, etc.).
• Perform data cleaning and manipulation tasks to ensure data quality and consistency.
• Conduct statistical analysis and identify trends, patterns, and anomalies within the data.
• Create compelling data visualizations (charts, graphs, dashboards) to effectively communicate insights to both technical and non-technical audiences.
• Develop and maintain data pipelines to automate data collection and analysis processes.
• Document data analysis processes and findings for future reference.
• Stay up-to-date on emerging data analysis tools and technologies.
• May participate in the development and implementation of data governance standards. br>

Requirements

Minimum Qualifications

• 1-3 years of experience as a Data Analyst or similar role.
• Strong analytical skills and experience working with data from various sources.
• Proficiency in SQL for data extraction and queryingbr>
• Working knowledge of data visualization tools (e.g., Shiny, Data Studio, Tableau, Power BI).
• Experience with data manipulation tools using Python and R.
• Excellent communication skills, both written and verbal, with the ability to present complex findings to a variety of audiences.
• Ability to work independently and as part of a team.
• A keen interest in data and its potential to drive business value.
• Bacheloru2019s degree in Computer Science, related field, or equivalent practical experience.br>

Preferred Qualifications

• 2 years Experience with scripting languages (e.g., Python, R).
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with data warehousing architecture & best practices.
• Experience with time-series statistical modeling techniques.
• Professional level of English language. br>