Senior Data Analyst 08N25

As a Senior Data Analyst, you will be a pivotal force in our organization's data strategy and execution. In this role, you are expected to provide advanced analysis, modeling, and data interpretation to guide strategic decisions. You should be proactively identifying trends, driving efficiency, and contributing to our competitive edge through data-driven insights. This position requires a thorough understanding of data processing and analysis, excellent problem-solving skills, and the ability to communicate findings in an articulate and actionable manner. Your expertise will directly impact business growth, operational efficiencies, and help in shaping strategies that address complex business challenges. A successful candidate will be adept at working collaboratively within a multi-functional team environment and possess the drive to implement data solutions that translate into tangible business results.

Responsibilities

• Analyze complex datasets to provide actionable business insights and recommendations.
• Develop and maintain data collection systems to optimize statistical efficiency.
• Collaborate with cross-functional teams to understand data needs and provide solutions.
• Utilize advanced statistical techniques to leverage data and support business objectives.
• Generate frequent reports for stakeholders that visualize trends and patterns in complex datasets.
• Identify, analyze, and interpret trends or patterns in large, complex data sets.
• Proactively identify opportunities for process improvements in data management strategies.
• Design and implement data models and architectures to support complex analyses.
• Conduct data quality assessments and validate data accuracy across multiple sources.
• Provide technical expertise on data analytics, data mining, and data visualization tools.
• Mentor junior data analysts and share best practices for data analysis and insights delivery.
• Support and enhance corporate data governance standards across the organization.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Minimum of five years experience as a data analyst or in a similar role.
• Proficiency with data visualization tools such as Tableau, Power BI, or similar.
• Strong experience in SQL, R, Python, or other data programming languages.
• Ability to effectively communicate complex data insights to business and technical audiences.
• Strong analytical skills with the ability to collect, organize, and analyze data.
• Experience with data modeling, data mining, and segmentation techniques.
• Excellent problem-solving abilities and attention to detail in a fast-paced environment.