Entry/Junior Level Data Analyst

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Job Overview

As an Entry/Junior Level Data Analyst at SynergisticIT, you will play a pivotal role in supporting data-driven decision-making processes. You will assist in collecting, processing, and analyzing data, translating complex datasets into actionable insights. Your collaboration with cross-functional teams will enhance the understanding of key metrics and contribute to strategic planning. This position presents an excellent opportunity for early-career professionals to develop their analytical skills while working in a dynamic and innovative environment.

Job Responsibilities

• Assist in collecting and organizing data from various sources for analysis.
• Support the development and maintenance of data dashboards and reports.
• Conduct preliminary data analysis and provide insights based on findings.
• Collaborate with team members to identify trends, patterns, and anomalies in data.
• Ensure data integrity and accuracy by performing regular audits and quality checks.
• Support ad-hoc data requests and reporting needs from different departments.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• Basic knowledge of data analysis tools and techniques.
• Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical thinking and problem-solving skills.
• Proficiency in Microsoft Excel, including formulas and pivot tables.
• Excellent communication skills, both verbal and written.

Technologies & Tools

In this role, you will work with a variety of technologies and tools to facilitate data analysis and reporting. Key tools include SQL for database querying, Excel for data manipulation and exploration, along with data visualization platforms like Tableau and Power BI. Familiarity with programming languages such as Python or R for statistical analysis is also a plus.

Ideal Candidates

The ideal candidates for the Entry/Junior Level Data Analyst position will possess an innate curiosity and eagerness to learn in the field of data analytics. They should demonstrate meticulous attention to detail and a proactive approach to problem-solving. Strong interpersonal skills are essential as successful candidates will collaborate with various departments. A team-oriented mindset, along with the ability to communicate complex data insights clearly and concisely, will contribute to success in this role.