Business Data Analyst (Uuzilo)

Uuzilo is seeking a skilled Business Data Analyst to join our dynamic team. As a Business Data Analyst, you will play a crucial role in supporting decision-making processes by analyzing and interpreting complex data sets. Your insights and recommendations will directly impact strategic business initiatives, enhancing our performance and driving growth.

Responsibilities:

1. Data Collection and Analysis: Collaborate with various teams to gather and consolidate relevant data from multiple sources. Analyze large datasets using statistical techniques and present actionable insights.
2. Data Modeling and Visualization: Develop clear and concise data models to aid in the understanding of complex business trends. Create interactive visualizations and dashboards to communicate findings effectively to stakeholders.
3. Business Performance Analysis: Evaluate key performance indicators (KPIs) and business metrics. Identify trends, patterns, and potential areas of improvement, and share recommendations with management.
4. Predictive Analysis: Utilize advanced analytics and statistical modeling to forecast business outcomes and identify future opportunities.
5. Data Quality Assurance: Ensure data accuracy and integrity by conducting regular audits, data cleansing, and validation procedures.
6. Market and Competitive Research: Stay informed about industry trends, market conditions, and competitor strategies. Provide insights to help the company maintain a competitive edge.
7. Cross-functional Collaboration: Work closely with various departments, such as marketing, finance, and operations, to understand their data needs and provide analytical support for their projects.
8. Data-Driven Decision Making: Advocate for data-driven decision-making processes, promoting a culture of using data to drive business strategies.

Requirements:

1. Educational Background: Bachelor's degree in Business, Economics, Statistics, Computer Science, or a related field. A Master's degree is a plus.
2. Analytical Skills: Strong analytical mindset with the ability to dissect complex problems and draw meaningful conclusions from data.
3. Technical Proficiency: Proficient in SQL for data retrieval and manipulation. Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python) is highly desirable.
4. Data Interpretation: Ability to present complex data in a clear and concise manner, enabling stakeholders to understand insights and make informed decisions.
5. Business Acumen: Understanding of business operations, market dynamics, and financial principles to provide relevant context to data analysis.
6. Problem-Solving Abilities: A proactive problem solver who can think critically and develop innovative solutions to challenges.
7. Communication Skills: Excellent verbal and written communication skills to collaborate effectively with team members and present findings to non-technical audiences.
8. Attention to Detail: Meticulous in data accuracy and thoroughness of analysis.
9. Time Management: Strong organizational skills and ability to manage multiple projects while adhering to deadlines.