Data Analyst 28J25

As a Data Analyst, you will play a crucial role in interpreting and transforming raw data into meaningful insights that inform organizational decisions and strategies. You will work closely with various departments to help them understand their data needs, design analysis models, and generate regular reports. You'll utilize statistical techniques to analyze data sets and build predictive models. Additionally, your expertise will guide the data collection and data quality assurance processes. Our ideal candidate is someone with a strong analytical mindset, excellent problem-solving skills, and a keen ability to communicate complex findings in a clear manner. If you are detail-oriented with a passion for both numbers and storytelling through data and are eager to make a significant impact, this is the perfect opportunity for you.

Responsibilities

• Collect, clean, and interpret data to meet specific project requirements and goals.
• Develop and implement databases, data collection systems, and strategies to optimize efficiency.
• Analyze large datasets to identify trends, patterns, and actionable insights for stakeholders.
• Create and maintain comprehensive reports dashboards for senior management review.
• Collaborate with cross-functional teams to elucidate data-driven strategies and solutions.
• Ensure accuracy and integrity of data by performing regular quality assurance checks.
• Translate complex data sets into easily understandable reports and visualizations.
• Monitor performance indicators and report on metrics to support organizational objectives.
• Participate in system implementation projects and integrations across various platforms.
• Craft predictive models and machine-learning algorithms to aid in business forecasting.
• Stay updated on industry trends and technologies to maintain competitive advantage.
• Train and educate staff on data usage and interpretation to foster a data-driven culture.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience as a Data Analyst or in a related analytical role.
• Strong proficiency in data visualization tools like Tableau, Power BI, or similar.
• Excellent knowledge of SQL, Python, or R for data manipulation and analysis.
• Strong analytical thinking and problem-solving skills with attention to detail.
• Experience with statistical modeling and predictive analytics is highly desirable.
• Outstanding communication skills with the ability to present data insights clearly.