Data Analytics Manager

As an Analytics Engineering Manager, you will lead a team of analytics engineers and collaborate closely with cross-functional stakeholders to enable data-driven decision-making within the organization. You will be responsible for managing the end-to-end analytics engineering process, including data collection, transformation, storage, and visualization. Your role will involve driving the adoption of best practices, and mentoring the team members to deliver high-quality analytics solutions.

Key Responsibilities:

Team Leadership and Management:

1. Provide leadership, guidance, and mentorship to a team of analytics engineers.
2. Set clear goals and expectations, and establish a collaborative and inclusive work environment.
3. Foster professional growth and development of team members through regular feedback, coaching, and training opportunities.
4. Manage resource allocation, workload prioritization, and project planning to ensure timely delivery of analytics solutions.
   

Analytics Infrastructure Development:

1. Design and implement scalable data infrastructure, including data pipelines, data warehouses, and ETL processes to enable efficient data collection, storage, and retrieval.
2. Collaborate with data platform engineering and IT teams to ensure data quality, integrity, and security throughout the analytics ecosystem.
3. Evaluate and implement new technologies, tools, and frameworks to improve the efficiency and effectiveness of analytics engineering processes.
   

Data Transformation and Preparation:

1. Define and enforce data transformation standards and best practices to ensure data consistency, accuracy, and usability.
2. Oversee the development and maintenance of data transformation workflows, data cleansing techniques, and data validation processes.
3. Collaborate with data scientists and analysts to understand their data requirements and provide guidance on data preparation and feature engineering.

Data Visualization and Reporting:

1. Work closely with business stakeholders to understand their reporting and analytics needs.
2. Collaborate with data visualization experts to design and develop interactive dashboards, reports, and visualizations that effectively communicate insights and enable self-service analytics.
3. Ensure the availability and accessibility of timely and accurate data for reporting purposes.

Performance Monitoring and Optimization:

1. Establish monitoring mechanisms and metrics to track the performance and reliability of the analytics infrastructure.
2. Identify opportunities for performance optimization and scalability improvements, and implement necessary enhancements.
3. Proactively address data quality issues and resolve technical challenges to ensure smooth and efficient analytics operations.

Collaboration and Stakeholder Management:

1. Collaborate with cross-functional teams, including data scientists, business analysts, product managers, and executives to understand their analytics requirements and provide technical guidance.
2. Act as a liaison between the analytics engineering team and other stakeholders, ensuring effective communication and alignment of goals and expectations.
3. Present findings, insights, and recommendations to non-technical stakeholders in a clear and concise manner.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 7+ years of experience in analytics engineering or a similar role, with a proven track record of managing and delivering complex analytics projects.
• Strong technical expertise in data engineering, data modeling, and data architecture.
• Proficiency in programming languages such as Python, SQL, and experience with data manipulation tools (e.g., Spark, Hadoop).
• Familiarity with data visualization tools and platforms (e.g., Tableau, Power BI) and experience in designing intuitive dashboards and reports.
• Solid understanding of data governance, data quality, and data security principles.
• Strong leadership and people management skills, with the ability to inspire and motivate a team.
• Excellent communication and stakeholder management skills to effectively collaborate with technical and non-technical stakeholders.
• Strong problem-solving and analytical thinking abilities, with a focus on delivering practical and actionable insights.