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Analytics Manager job description
An Analytics Manager leads data-driven decision-making processes by overseeing the collection, analysis, and interpretation of complex datasets to uncover actionable insights. This role is critical for driving business growth, optimizing operational efficiency, and informing strategic initiatives through evidence-based recommendations.
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What is a Analytics Manager?
An Analytics Manager is a senior-level professional responsible for managing a team of data analysts and guiding the organization's analytics strategy. They bridge the gap between technical data expertise and business objectives, ensuring that data-driven insights align with company goals. This role requires a blend of leadership skills, statistical knowledge, and business acumen to translate raw data into meaningful strategies that support decision-making across departments.
What does a Analytics Manager do?
An Analytics Manager oversees the entire analytics lifecycle, from data collection and cleaning to analysis and reporting. They develop and implement analytics frameworks, manage data pipelines, and ensure data accuracy and integrity. Additionally, they lead cross-functional projects, present findings to stakeholders, and mentor junior analysts. Their work directly influences key business outcomes by identifying trends, optimizing processes, and providing recommendations that drive revenue growth and operational efficiency.
Job Overview
We are seeking an experienced Analytics Manager to lead our data analytics team in transforming raw data into actionable business insights. This role requires a strategic thinker who can drive data-informed decision-making across the organization, develop advanced analytical frameworks, and communicate findings to executive stakeholders to support business growth and operational efficiency.
Analytics Manager responsibilities include:
1. Lead and manage a team of data analysts to deliver high-quality analytical solutions and insights
2. Develop and implement comprehensive analytics strategies aligned with business objectives
3. Design and maintain dashboards, reports, and data visualizations using tools like Tableau, Power BI, or Looker
4. Perform advanced statistical analysis and predictive modeling to identify trends and opportunities
5. Collaborate with cross-functional teams to define KPIs and establish measurement frameworks
6. Present data-driven recommendations to senior leadership to inform strategic decisions
7. Ensure data quality, integrity, and governance across all analytics deliverables
8. Manage multiple analytics projects simultaneously while meeting deadlines and budget constraints
1. Bachelor's degree in Data Science, Statistics, Computer Science, or related quantitative field
2. 5+ years of experience in data analytics with 2+ years in a managerial or team lead role
3. Proficiency in SQL and experience with data visualization tools (Tableau, Power BI, or similar)
4. Strong statistical analysis skills with experience in Python or R for data manipulation
5. Proven track record of translating complex data into actionable business insights
6. Experience with data warehousing concepts and ETL processes
7. Excellent communication and presentation skills for stakeholder management
8. Demonstrated ability to manage analytics projects from conception to delivery
Preferred Qualifications
1. Master's degree in a quantitative field or MBA with analytics focus
2. Experience with cloud platforms (AWS, Google Cloud, or Azure) and big data technologies
3. Background in developing machine learning models for business applications
4. Previous experience in specific industries such as e-commerce, finance, or healthcare
5. Certification in relevant analytics tools or platforms (Tableau Certified, Google Analytics, etc.)
6. Experience with A/B testing frameworks and experimental design
7. Knowledge of database management systems (Snowflake, Redshift, BigQuery)
8. Proven success in mentoring and developing junior analysts
Bonus Skills
1. PhD in a quantitative discipline with published research
2. Experience with real-time analytics and streaming data platforms
3. Advanced certification in machine learning or artificial intelligence
4. Background in econometrics or operations research
5. Proficiency in additional programming languages (Java, Scala, or JavaScript)
6. Experience with DevOps practices for analytics (CI/CD, version control)
7. Previous work with customer analytics and personalization platforms
8. Familiarity with GDPR, CCPA, and other data privacy regulations
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