Analytics Manager
An Analytics Manager in the technology sector leads data-driven decision-making by overseeing teams of analysts, designing analytics frameworks, and translating complex data into actionable business insights. They collaborate with engineering, product, and executive stakeholders to define KPIs, build dashboards, and drive strategic initiatives. Strong proficiency in SQL, Python, and BI tools like Tableau or Power BI is essential, along with leadership skills to mentor analysts and manage cross-functional projects.
- analytics manager
- data analytics
- business intelligence
- KPI
- SQL
- Python
- Tableau
- Power BI
- data-driven
- data strategy
- reporting
- dashboard
- machine learning
- data governance
- technology
Available courses
18
Students
14
Average monthly income
$12K - $18K
Business Intelligence Manager Course
You will build a thorough understanding of BI architecture, data warehousing, and ETL pipeline design, so you can make sound technical decisions without relying entirely on your engineers. You will learn how to model data for analytics, design dashboards that drive decisions, and govern data quality across the organization. The course covers advanced analytics and forecasting, giving you the oversight skills to manage data science collaboration effectively. You will also develop the strategic and financial acumen to build BI roadmaps, justify investments, and manage budgets. Finally, you will gain the change management and leadership tools needed to build high-performing BI teams and drive adoption across the business.
Students
1
Workload
4h - 360h
Rating
—
What does a Analytics Manager do
Lead and mentor a team of data analysts, setting goals, conducting performance reviews, and fostering a culture of data-driven decision-making across the organization.
Design and implement analytics frameworks, dashboards, and reporting systems using tools such as Tableau, Power BI, or Looker to provide actionable insights to stakeholders.
Collaborate with product, engineering, and executive teams to define key performance indicators (KPIs), prioritize analytics initiatives, and align data strategy with business objectives.
Oversee data quality, governance, and integrity by establishing best practices for data collection, transformation, and analysis while ensuring compliance with relevant regulations.
Where do you want to start?
All courses in the track in a single plan
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