Job Description
Are you ready to launch your career in the booming tech industry? Heartland Data Systems is seeking a motivated Entry-Level Data Analyst to join our dynamic team in Wichita, KS.
We value potential, drive, and a strong analytical mindset over years of past experience. As a Junior Data Analyst, you will work alongside senior mentors to uncover insights that drive business decisions and improve operational efficiency. This is an excellent opportunity for recent graduates or career changers looking to break into the data field.
Why Join Us?
- Comprehensive training in SQL, Python, and Tableau.
- Mentorship from industry experts.
- Competitive salary and benefits package.
- A collaborative and inclusive work environment.
Responsibilities
- Support Data Collection: Assist in gathering, cleaning, and organizing large datasets from various sources to ensure data integrity for analysis.
- Dashboard Creation: Collaborate with the data team to build and maintain interactive dashboards using tools like Tableau or PowerBI.
- Statistical Analysis: Perform basic statistical analysis to identify trends, patterns, and anomalies in business data.
- Reporting: Prepare clear and concise reports and presentations for non-technical stakeholders based on data findings.
- Process Improvement: Identify opportunities to optimize data workflows and improve reporting processes within the organization.
- Market Research: Conduct research to assist in competitive analysis and market trend identification.
Qualifications
- Education: Bachelor’s degree in a relevant field (Business, Statistics, Computer Science, or equivalent experience).
- Technical Skills: Familiarity with Microsoft Excel (PivotTables, VLOOKUP) and a basic understanding of SQL or Python is a plus but not required.
- Analytical Mindset: Strong problem-solving skills and the ability to think critically about data.
- Communication: Excellent verbal and written communication skills to present complex data findings clearly.
- Learning Agility: A high degree of curiosity and a willingness to learn new tools and technologies quickly.
- Attention to Detail: Ability to spot errors and inconsistencies in large datasets.