What are the responsibilities and job description for the Technical Data Analyst position at Golden Technology?
Are you a dedicated Technical Data Analyst eager to make a significant impact? Our client is seeking a talented individual to join their dynamic team. Ready to be part of an amazing culture? Apply today!
If you specialize in Power BI, SQL, Python and R, we’d love to hear from you!
About Golden Technology
Golden Technology was founded in 1997 with a vision to develop people and drive innovation. We pair world-class technologists with companies doing impactful work. With our unique recruiting engine, we deliver top-tier talent to Fortune 500 clients across the US. Our culture is built around family, helping people succeed both professionally and personally, and improving the communities we work, live, and play in through our Golden Community initiatives.
Job Description
As a Mid-Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to provide insights and recommendations that will guide strategic decisions within the company. You will work closely with cross-functional teams to identify trends, patterns, and opportunities that will drive business growth and efficiency.
Requirements:
Proficiency in SQL, Python, R, or other programming languages used for data analysis.
Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
Excellent communication skills with the ability to present complex findings in a clear and concise manner.
Ability to work independently and collaboratively in a fast-paced environment.
Key Responsibilities
• Standardize and solidify data processes and quality
• Assist in developing business reporting
• Increase data availability, standardization and automation processes
• Problem solve and investigate issues
• Participate in all phases of system testing Work successfully in an Agile Project across multiple feature and component teams
• Complete estimates and work plans in Program Increments (PI) Meetings as appropriate for design, development, implementation and rollout tasks"
