Job Description
Are you passionate about uncovering the stories hidden within complex datasets? Pikes Peak Analytics is looking for a driven and detail-oriented Junior Data Analyst to join our rapidly growing team in the heart of Colorado Springs. We are committed to fostering a culture of continuous learning and innovation, making this the perfect environment for entry-level professionals looking to launch their career in data science.
In this role, you will work closely with senior analysts and stakeholders to gather, process, and analyze data, providing critical insights that drive business strategy. You will have the opportunity to master industry-standard tools while contributing to real-world projects that impact our local and national clients.
Responsibilities
- Data Collection & Cleaning: Gather raw data from various sources, ensuring accuracy and integrity for analysis.
- Dashboard Creation: Develop interactive dashboards and visualizations using tools like Tableau or Power BI to present findings clearly to non-technical audiences.
- Statistical Analysis: Perform exploratory data analysis (EDA) and statistical modeling to identify trends, patterns, and anomalies.
- Report Generation: Create comprehensive reports and executive summaries that translate data into actionable business recommendations.
- Collaboration: Partner with cross-functional teams to understand data requirements and support decision-making processes.
- Database Management: Assist in maintaining databases and writing SQL queries to retrieve specific datasets efficiently.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Business Administration, or a related field (or equivalent work experience).
- Technical Skills: Proficiency in SQL (preferred) and Microsoft Excel; experience with Python or R is a plus.
- Visualization Tools: Familiarity with data visualization software such as Tableau, Power BI, or Looker.
- Analytical Mindset: Strong ability to break down complex problems and derive logical conclusions from data.
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Attention to Detail: High level of accuracy when handling large datasets and performing repetitive tasks.