Senior Data Analyst - Remote, Compliance & Insights

Cayuse Holdings; United States; On-site; USD 100,000 - 110,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

401(k) Retirement Savings Plan with matching

Paid Time Off

Job summary

Cayuse Holdings is seeking a Data Analyst to leverage data from enterprise systems in Wisconsin. The role involves tasks such as conducting data analysis, collaborating with clients to understand their needs, and developing insightful recommendations based on statistical methodologies. Candidates must have a Bachelor's degree in a quantitative field and at least 5 years of relevant experience. This position aligns with core values of innovation and integrity. A comprehensive benefits package is included.

Qualifications

• A minimum of 5 years of professional experience.
• At least 5 years of experience with data structures and analytical methodologies.
• Public Trust Clearance is required.
• U.S. Citizenship is required.

Responsibilities

• Meet with clients to understand their business needs and develop analysis plans.
• Conduct exploratory data analysis using large-scale client data sources.
• Collaborate with teams of data scientists to build pipelines for data engineering.
• Develop recommendations based on completed research and analysis.

Skills

Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)

Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)

Strong collaboration skills

Excellent verbal and written communication skills

Critical thinker with excellent attention to detail

Education

Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, or another quantitative discipline

Job description

Cayuse Holdings is seeking a Data Analyst to leverage data from enterprise systems in Wisconsin. The role involves tasks such as conducting data analysis, collaborating with clients to understand their needs, and developing insightful recommendations based on statistical methodologies. Candidates must have a Bachelor's degree in a quantitative field and at least 5 years of relevant experience. This position aligns with core values of innovation and integrity. A comprehensive benefits package is included.