26 results for Data Analytics Consultant in Golden Valley, MN
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Sr. Analyst/Associate – Data Analytics
Location: Twin Cities Area
Are you passionate about data analytics and looking for an opportunity to make a tangible impact in investment decision-making processes? A growing and dynamic financial services firm is seeking a Sr. Analyst/Associate in Data Analytics to join their team in the Twin Cities market. This position is part of a high-performing Data Analytics function and focuses on delivering critical analytic solutions that support investment decision-making and enhance competitive strategies.
Key Responsibilities:
- Support the manager with data projects and daily activities.
- Design and optimize recurring data processes with internal teams and stakeholders.
- Create and monitor Power BI reporting on investment data.
- Analyze large data sets and develop complex financial models.
- Build and maintain strong relationships across investment teams and support functions.
- Adapt to ad hoc projects and monitor the status of reporting initiatives.
Qualifications:
- Undergraduate degree in accounting, finance, or a related field.
- 3-5 years of experience in direct investing.
- Familiarity with analytical tools such as SQL Server, Python, and notebooks.
- Proficiency in Microsoft Office Suite and data visualization tools such as Power BI.
- Strong problem-solving skills and excellent communication abilities.
- Team-oriented mindset with the ability to manage multiple deadlines and stakeholders in a fast-paced environment.
If you’re a data analytics professional ready to elevate your career, this role offers exciting opportunities for growth and collaboration. Take the next step in a fast-paced and dynamic setting!
Contact:
Douglas Rickart at 612-249-0330 or connect on LinkedIn. Alternatively, click the application link to submit your resume today!
• Minimum of 3 years of experience in a data analysis role, preferably within the financial services industry
• Proven proficiency in Data Analysis and Quantitative Data Analysis
• Strong knowledge of Python programming language
• Experience with Microsoft Power BI is essential
• Familiarity with the Financial Services industry and its data requirements
• Expertise in Data Visualization techniques and tools
• Proficient with SQL Server, with the ability to write complex queries and manipulate databases
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