Data Analyst

Department: Fiber - Fiber Network Design and Implementation Services

Employment Type: Internship

Location: Lubbock, TX

Reporting To: Jim Nelson

Description

Key Responsibilities

• Data Collection: Gathering data from various sources, including databases, spreadsheets, APIs, and other systems.
• Data Cleaning and Preprocessing: Identifying and correcting errors, handling missing data, and preparing data for analysis by organizing, cleaning, and structuring it.
• Data Analysis: Using statistical methods and data visualization techniques to interpret and analyze data, identifying trends, patterns, and relationships to extract insights.
• Report Generation: Creating reports and presentations to communicate findings and insights to stakeholders, often using tools like Excel, Tableau, or Power BI.
• Dashboard Development: Building interactive dashboards to monitor key metrics and KPIs, allowing stakeholders to track performance and make data-driven decisions.
• Predictive Modeling: Developing predictive models using machine learning algorithms to forecast future trends or outcomes based on historical data.
• Data Mining: Identifying patterns and trends in large datasets using clustering, classification, and association rule mining techniques.
• Database Management: Managing databases to ensure data integrity and availability.
• Collaboration: Working closely with cross-functional teams to understand requirements and trends. 
• Other tasks as assigned by manager/supervisor.

Skills, Knowledge and Expertise

• Candidates working towards a BS or master’s degree in data-related fields preferred.
• Strong analytical thinking and problem-solving skills.
• Proficiency in using analytical tools to analyze data and make data-driven decisions.
• Proficiency in programming languages is commonly used in data analysis such as Python, R, SQL, or others. 
• Familiarity with data visualization tools like Tableau, Power BI, matplotlib or ggplot2 to create visualizations and communicate findings effectively. 
• Understanding database systems and querying languages for data retrieval and manipulation.
• Experience working with databases.
• Thoroughness and attention to detail in data analysis and reporting to ensure accuracy and reliability of findings. 
• Ability to work collaboratively in a team environment, share knowledge, and contribute to achieving team goals. 
• Curious with a continuous learning mindset.
• Hardworking and self-drive.
• Able to estimate work requirements and meet goals and deadlines.
• Follow directions as outlined by the manager and ask clarifying questions when needed.

Benefits

• Professional growth and development opportunities.
• A diverse, dynamic, and stimulating work environment.
• Educational opportunities.
• A competitive salary and benefits package.