Data Analyst II

About the Role

The role is part of a dynamic team that values technical excellence and human connection. You will have the opportunity to work with a talented group of professionals who are passionate about technology and dedicated to delivering high-quality results. As a remote worker, you will be expected to be self-motivated, disciplined, and able to work independently with minimal supervision.

ComputerCare is a woman-owned business that has built a reputation for combining certified technical expertise with a human approach. The company has spent over 20 years serving innovative companies worldwide, providing authorized repairs for leading device manufacturers, and managing complex device lifecycles for global teams. With a strong focus on accountability, quality, and building lasting relationships, ComputerCare is an attractive employer for professionals who value both technical excellence and the people behind it.

What You Will Do

• Assist in designing and structuring database architecture to support scalable data storage, efficient querying, and optimized performance
• Demonstrate understanding of relational databases, including tables, schemas, indexing, normalization, and relationships
• Help build and maintain data pipelines to move and transform data between systems while ensuring accuracy and reliability
• Create dashboards, reports, and visualizations using SQL, Excel, Tableau, Power BI, or Looker Studio to communicate findings clearly to stakeholders
• Analyze large datasets to identify trends, patterns, correlations, and actionable insights that support business decisions
• Collect, organize, and maintain data from multiple sources while ensuring data integrity and accuracy
• Write, maintain, and optimize SQL queries for reporting, analysis, and data extraction
• Clean, preprocess, and transform raw data using SQL and Python to prepare it for analysis and reporting
• Work with cross-functional teams to understand business requirements, define KPIs, and translate them into analytical solutions
• Identify inefficiencies in data processes and implement automation using SQL, Python, or ETL tools to improve workflow and data quality

What We Are Looking For

• Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field
• 2-5 years of experience in data analysis, reporting, or database management
• Experience working with SQL databases and writing complex queries
• Experience with Python (pandas, NumPy) and other scripting languages for data manipulation
• Experience with data visualization tools (HEX, Tableau, Power BI, Excel dashboards)
• Strong understanding of relational databases and data modeling concepts
• Ability to work collaboratively in a remote setting and communicate effectively with stakeholders
• Strong analytical and problem-solving skills, with attention to detail and ability to meet deadlines

Nice to Have

• Experience with cloud-based data platforms (AWS, Azure, Google Cloud)
• Knowledge of machine learning algorithms and statistical modeling techniques
• Familiarity with Agile development methodologies and version control systems (Git)

Benefits and Perks

• Comprehensive Medical, Dental, and Vision plans to keep you feeling your best
• 401(k) with employer match to support your future goals
• Company-paid Life Insurance, plus HSA & FSA options for added security
• Employee Assistance Program (EAP) for real support when you need it
• Adoption Assistance to help grow your family
• Commuter Benefits for an easier ride to work
• Free Coursera Professional Certifications to level up your skills
• Generous vacation & sick time, plus paid time off to give back to your community

• Develop a strong portfolio that showcases your data analysis and visualization skills, including examples of dashboards and reports you've created using tools like Looker Studio and Excel.
• Be prepared to walk the interviewer through your thought process and problem-solving approach, highlighting your attention to detail and ability to meet deadlines.
• Research the company's technology stack and be prepared to discuss how your skills and experience align with their needs.
• Practice your communication skills, as the ability to effectively communicate complex data insights to non-technical stakeholders is crucial in this role.
• Consider obtaining certifications in data analysis or related fields to demonstrate your expertise and commitment to professional development.
• Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for growth and professional development.