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Data Analyst
3 months ago
We are seeking recent graduates with an interest in building a career in Data Analytics for a Data Analytics Coordinator opening in the Perimeter area.
Highlights:
- Position will work on the Data Analytics team of a global logistics company
- This is a hybrid remote position with 2 WFH days/week of the candidates choosingBase salary from 50-55k + bonus ranging from 6%-24% of salary. Pay reviews every 6 months.
- Excellent benefits package- company pays 85% of employees’ healthcare costs, 6% 401k match, and other great benefits
Description:
As the Data Analytics Coordinator, you will Partner with key stakeholders to establish and implement data-driven metrics designed to improve internal business processes, support strategic planning, and ultimately improve profitability. In addition, the role will laisse with central departments to progress the organizations goals for digitalization and automation.
Responsibilities:
- Leverages the use of data analytics tools (e.g. QlikSense, Databricks, Snowflake, Python, Alteryx, etc.) to implement solutions, and to increase team’s efficiency and reliability.
- Manage and oversees cross-functional data analytics projects across departments, guiding them from inception through production while ensuring adherence to quality standards and deadlines.
- Collaborate in defining metrics to expand depth of analysis, to improve internal processes and uncover quantifiable business opportunities.
- Design, develop and maintain scalable data products for data warehousing (Data Lake concept).
- Cultivate trust and cooperation with stakeholders, fostering a collaborative environment that promotes knowledge sharing.
- Clearly convey findings and insights to upper management and internal stakeholders to support strategic decision-making.
- Provide guidance and training to peers or stakeholders on data analytics tools and best practices.
- Continuously update knowledge on the latest data analytics technologies and trends to ensure the application of cutting-edge tools and methodologies.
Requirements:
- Bachelor’s degree in Information Systems, Data Analytics, Business Intelligence, or related field.
- Interest in data visualization tools (e.g., QlikView, QlikSense, Tableau, Power BI) to create impactful, easy-to-understand visual reports.
- Interest in ETL processes using tools like Databricks, Snowflake, Alteryx, or similar platforms.
- Preferred experience with programming languages such as SQL, Python, among others.
Alternate job titles: Data Specialist, Data Coordinator, Entry-Level Data Analyst, Financial Analyst, Operations Analyst, Systems Analyst