Assistant Manager - Data Analyst (225-808)

An Assistant Manager - Data Analyst is a pivotal role within any data-driven organization. This professional is responsible for collaborating with senior management to interpret vast amounts of data and extrapolate actionable insights that drive strategic decisions. The role requires a unique combination of managerial acumen, technical expertise, and analytical skills. The Assistant Manager - Data Analyst not only manages day-to-day operations and junior data analysts but also takes part in developing data analysis methods to ensure the accuracy and efficacy of data-driven conclusions. With a keen eye for detail, this role is essential for companies looking to harness data to enhance performance, optimize processes, and achieve competitive advantage.

Responsibilities

• Oversee the operational functions of the data analysis department to ensure alignment with goals.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Work closely with management to prioritize business and information needs effectively.
• Provide technical expertise in data storage structures, data mining, and data cleansing.
• Prepare insightful data reports and presentations to drive key business decisions.
• Manage and mentor a team of junior data analysts, enhancing their analytical capabilities.
• Ensure data integrity and compliance with regulatory requirements across all data projects.
• Collaborate with cross-functional teams to design and document data flows and architecture.
• Facilitate workshops and training sessions to boost analytics acumen within the organization.
• Continuously improve the tools and techniques used for data analysis and data reporting.
• Develop data models and algorithms to apply to data sets and derive useful insights.

Requirements

• Bachelor's degree in Data Science, Mathematics, Statistics, or a related field.
• Proven experience as a data analyst or business data analyst in a managerial role.
• Strong knowledge of R, SQL, and Python for data manipulation and analysis.
• Excellent analytical and problem-solving skills with great attention to detail.
• Solid understanding of data visualization with tools like Tableau or Power BI.
• Experience in supervising and mentoring junior team members effectively.
• Ability to transform business requirements into pragmatic and effective solutions.