Data Analytics Team Lead, Marketing & Sales (Analytics & Insights Unit)

at  SEMrush

Job Description
Hi there!
We are Semrush, a global IT company developing our own product—a platform for digital marketers. New stars are born here, so don’t miss your chance.
This is our
Data Analytics Team Lead role for the Marketing division for those who want to turn ideas into reality and participate in improving Semrush’s analytics tools.

Tasks in the role

• Manage analytical support for Marketing and Sales divisions to help them achieve their goals, including but not limited to work scope management, prioritization, delivery quality, and experimentation development.
• Work with VP-level stakeholders in the respective Division on the strategic roadmap and analytics maturity.
• Develop data usage in decision-making processes in the divisions.
• Develop tools and services for generating data insights and business recommendations based on the completed tasks (dashboards and other self-service and/or activities to deliver business insights).
• Help with KPI development and tools for its measurements.
• Develop and maintain teams’ deep understanding of business acumen, market trends, and emerging technologies related to analytics and business intelligence.
• Develop processes with other teams in the analytics department (collaboration with DE, QA, ML specialists).
• Organize and manage the data development process, data standardization, and documentation.
• Collaborate with marketing analytics teams to develop and maintain data warehousing and analytics infrastructure.
• Manage the team, support their development and professional growth, and provide ongoing and regular feedback.
• Clearly communicate strategic priorities, delegate tasks and responsibilities where necessary, and ensure productive team dynamic.

Requirements

Who we are looking for

• 6+ years of experience in data analysis, business intelligence, or a related field.
• 2+ years of People Management experience.
• Knowledge of the Python programming language, SQL, and data visualization tools such as Tableau.
• Strong analytical skills and ability to work with complex data sets.
• Strong interpersonal and communication skills, with a proven record of influencing senior leadership and driving organizational change.
• Proven track record of managing multiple projects and priorities in a fast-paced environment.
• Expertise in statistical analysis techniques and predictive modeling.
• Experience in managing and mentoring junior and senior team members.
• Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field. An advanced degree is highly preferred.

They say there are no perfect candidates, but that might well be you, if

• Manage Marketing and Sales Analytics team.
• Familiarity with cloud-based platforms such as GCP.
• You share our common values: Trust, as we prefer to speak up and be our true selves; Sense of Ownership, as it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Change, as we are always looking to make things better.

A bit about the team
You will be working in the Insight team inside the Strategy & Analytics team. Your direct colleagues are mainly BI developers, data engineers, and QA engineers.

• Manage analytical support for Marketing and Sales divisions to help them achieve their goals, including but not limited to work scope management, prioritization, delivery quality, and experimentation development.
• Work with VP-level stakeholders in the respective Division on the strategic roadmap and analytics maturity.
• Develop data usage in decision-making processes in the divisions.
• Develop tools and services for generating data insights and business recommendations based on the completed tasks (dashboards and other self-service and/or activities to deliver business insights).
• Help with KPI development and tools for its measurements.
• Develop and maintain teams’ deep understanding of business acumen, market trends, and emerging technologies related to analytics and business intelligence.
• Develop processes with other teams in the analytics department (collaboration with DE, QA, ML specialists).
• Organize and manage the data development process, data standardization, and documentation.
• Collaborate with marketing analytics teams to develop and maintain data warehousing and analytics infrastructure.
• Manage the team, support their development and professional growth, and provide ongoing and regular feedback.
• Clearly communicate strategic priorities, delegate tasks and responsibilities where necessary, and ensure productive team dynamic