Business Intelligence Analyst - Umanist Staffing LLC

Overview:

The Business Intelligence Analyst plays a crucial role in leveraging data to provide actionable insights for strategic decision-making within the organization. This role is essential for interpreting data, analyzing results, and developing strategies to support the business objectives. The Business Intelligence Analyst will work closely with various departments to gather and analyze data, create visualizations, and identify trends and opportunities.

Key Responsibilities:

Utilize data analysis techniques to provide meaningful insights and drive informed decision-making.

Develop and maintain reports and dashboards to track key performance indicators (KPIs).

Extract, clean, and validate data to ensure accuracy and reliability for analysis.

Create data visualizations to effectively communicate findings to stakeholders.

Analyze historical data and trends to identify opportunities for process improvements and efficiency.

Collaborate with cross-functional teams to understand business needs and provide analytical support.

Participate in the design and development of business intelligence solutions and tools.

Conduct ad-hoc analysis to address specific business questions and challenges.

Assist in the implementation and maintenance of data management and reporting systems.

Stay updated with industry best practices and emerging trends in business intelligence and analytics.

Required Qualifications:

Bachelor's degree in Computer Science, Business, Statistics, or related field.

Proven experience in data analysis and business intelligence roles.

Proficiency in SQL and database management.

Strong understanding of data visualization tools such as Tableau, Power BI, or similar.

Ability to interpret and analyze complex data sets.

Excellent problem-solving and critical thinking skills.

Knowledge of statistical analysis and modeling techniques.

Strong business acumen and the ability to align analytical findings with business objectives.

Good communication and presentation skills to effectively convey insights to non-technical stakeholders.

Experience with ETL tools and processes is a plus.

Familiarity with programming languages such as Python or R is advantageous.

Proven ability to work effectively in a collaborative team environment.

Attention to detail and a commitment to delivering high-quality work.

Ability to prioritize and manage multiple tasks in a dynamic work environment.

Understanding of data governance and data quality best practices.