Job Description
This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.
Written by AI from the job title and company, not by Engtal, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Data Analyst (Entry Level) at Engtal will be crucial in supporting data-driven decision-making across various business functions. The individual in this role will engage in collecting, processing, and analyzing large sets of data to uncover patterns, trends, and insights that will inform strategic initiatives. This position will allow for the application of analytical skills to assist teams in optimizing operational efficiencies and improving overall performance.
Job Responsibilities
- Gather and analyze data from multiple sources to support business objectives.
- Prepare clear and accurate reports and visualizations to present insights to stakeholders.
- Assist in the development and optimization of data collection processes and systems.
- Collaborate with cross-functional teams to understand data requirements and deliver relevant analyses.
- Conduct regular audits and data quality assessments to ensure accuracy and consistency.
- Maintain documentation of data processes, methodologies, and results of analysis.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar.
- Proficiency in Microsoft Excel and SQL for data manipulation and analysis.
- Basic knowledge of programming languages such as Python or R is preferred.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent verbal and written communication skills to convey complex information succinctly.
Technologies & Tools
The Data Analyst will primarily utilize a range of technologies and tools including data visualization software like Tableau and Power BI, database management systems such as SQL, and programming languages such as Python or R. Proficiency in Excel is essential for data manipulation and analysis. Additionally, the use of collaboration tools like Microsoft Teams or Slack will be important for effective communication across teams.
Ideal Candidates
The ideal candidate for the Data Analyst (Entry Level) position will possess a strong analytical mindset and demonstrate a passion for working with data. Candidates should be detail-oriented and capable of delivering accurate analysis in a timely manner. A proactive approach to problem-solving, along with the ability to communicate complex data findings clearly to non-technical stakeholders, will significantly contribute to success in this role. Enthusiasm for continuous learning in the field of data analytics is highly desirable.
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