Entry Level Data Analyst
Generation West Virginia
full-time
Posted on:
Location Type: Hybrid
Location: Charleston • Virginia • West Virginia • United States
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Job Level
About the role
- Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
- Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
- Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
- Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
- Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
- Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
- Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.
Requirements
- Strong analytical skills and a passion for working with data.
- Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent communication skills, with the ability to translate complex data into understandable insights.
- Detail-oriented and capable of maintaining data accuracy and integrity.
- Strong problem-solving skills and the ability to think critically.
- Highly organized and able to manage multiple tasks and deadlines effectively.
- Team player with a collaborative mindset and the ability to work well in a diverse team environment.
- Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.
Benefits
- 401(k)
- Dental insurance
- Disability insurance
- Health insurance
- Paid time off
- Vision insurance
- Bonus opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data collectiondata cleaningdata analysisstatistical methodsdata visualizationExcelSQLPythonRdata quality assurance
Soft Skills
analytical skillscommunication skillsdetail-orientedproblem-solving skillscritical thinkingorganizational skillscollaborative mindseteagerness to learn