Senior Data Analyst (225-925)

We are seeking a highly skilled and motivated Senior Data Analyst to join our dynamic team. The ideal candidate will have strong analytical skills and a passion for translating data into actionable insights. You will be responsible for managing large datasets, performing complex analyses, and creating visually compelling reports that drive business decisions. This role requires a collaborative thinker who can work closely with cross-functional teams to understand their data needs and deliver timely, data-driven solutions. Your expertise will help guide our strategic initiatives and contribute to achieving our organizational goals.

Responsibilities

• Analyze large datasets to extract meaningful insights and trends for decision-making.
• Develop and maintain dashboards for tracking key performance indicators and metrics.
• Collaborate with cross-functional teams to identify and prioritize business data needs.
• Create compelling data visualizations that tell a story and inform stakeholders.
• Perform data cleaning and validation to ensure accuracy and integrity in analyses.
• Lead the development and implementation of data models and analytics solutions.
• Conduct detailed quantitative analysis to inform strategic and operational decisions.
• Communicate complex analytical findings in clear and concise terms for non-technical stakeholders.
• Identify data quality issues and collaborate with IT to develop solutions for improvement.
• Continuously explore advanced analytics techniques to improve current methodologies.
• Mentor junior data analysts and contribute to team skill development and growth.
• Stay up-to-date with industry trends and data analytics advancements.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, or related field.
• Five or more years of experience in a data analyst role or similar position.
• Proficiency in data analysis tools and languages such as SQL, Python, or R.
• Strong experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent problem-solving skills with a strategic and analytical mindset.
• Ability to translate complex data into actionable and insightful information.
• Strong interpersonal skills and ability to communicate with technical and non-technical teams.
• Experience in data modeling, predictive analytics, and statistical techniques.