WHAT DOES AN ANALYTICS LEAD DO?
In the role of Analytics Lead, quantitative analysis and data mining skills are employed to interpret customer interactions with products, identifying opportunities and defining solutions within complex domains. Collaborating with cross-functional teams, the lead influences product decisions and launches, presenting data-based recommendations and maintaining a culture of excellence. Providing strategic guidance to executive leadership, the lead ensures superior business and candidate experiences through continuous monitoring of key metrics and regular reviews of tools and platforms.
A Review of Professional Skills and Functions for Analytics Lead
1. Business Insights and Analytics Lead Duties
- Stakeholder Engagement: Engage stakeholders to understand business strategy and priorities and correlate them to analytics and reporting requirements.
- Performance Reporting: Lead performance/KPI reporting in commercial areas like sales metrics and digital marketing.
- Dashboard Development: Construct and evolve dashboards integrating various data sources (e.g., IQVIA, wholesaler, CRM data).
- Analytical Projects: Conduct regular and ad-hoc analytics projects to address a range of business issues.
- Segmentation & Incentives: Coordinate customer segmentation and sales incentive plan calculations.
- Vendor Management: Manage relationships and budgets with external market research firms.
- Data Evaluation: Evaluate potential new data sources or market research opportunities to enhance business insights' impact.
- Digital Consent Leadership: Lead the ongoing digital consent project.
- Collaborative Development: Collaborate with stakeholders (legal, compliance, medical affairs, sales) to develop procedures for new initiatives.
- Innovation Evaluation: Investigate and evaluate new ideas for improving digital engagement/consent rates.
- Compliance Reviews: Conduct regular CRM (Veeva) system compliance/GDPR reviews.
- Consent Rate Reporting: Calculate and report consent rates at business unit and senior leadership levels.
- CRM Support: Work closely with the CRM Lead to understand processes and assist in user training.
2. Business Insights and Analytics Lead Details
- Project Coordination: Coordinate special projects and initiatives with requesting departments by setting project timelines, identifying potential data sources, gathering needed data, and preparing appropriate analyses.
- Analytical Insight: Strong data-driven analytical skills with an ability to integrate data from multiple sources for developing actionable, value-add insights and solutions.
- Data Management: Perform data collection, data cleansing, data analysis, data modeling, and data visualization.
- Team Support: Participate in key Company initiatives by serving as a team member or providing analytic support to the established team members.
- Revenue Optimization: Evaluate revenue enhancement opportunities.
- Process Optimization: Identify and implement process improvement initiatives.
- Benchmarking Assistance: Assist in departmental and overall benchmarking efforts.
- Diagnostic Analysis: Help coordinate and improve diagnostics around differences, utilizing and integrating findings with the business.
- Feedback Loop Creation: Identify opportunities and create a continuous feedback loop.
- Executive Support: Assist in the preparation of executive-level presentations.
- Resource Provision: Has well-established capabilities, acts as a resource to less experienced staff on routine issues.
3. Senior Manager - Strategic Analytics Lead Responsibilities
- Analysis Delivery: Scope and drive the delivery of analysis, focusing on store estate performance, including spatial analysis, labor optimization, customer base segmentation, channel business share, and competitor analysis.
- Solution Design: Design end-to-end solutions that are easily maintainable, involving collecting detailed business requirements, developing proof of concept solutions, and collaborating with BI, IT, and IT architecture teams.
- Tool Development: Develop tools in the production environment and drive changes in business processes based on recommendations.
- Data Insight Promotion: Promote the consumption of data insights through end-user tools, work on insight utilization methods, and apply insights in strategy definition and BAU planning cycles.
- Third-Party Leadership: Lead third parties and public/government sources to integrate their data, expanding understanding of the business, competitors, customers, and the wider market context.
- Relationship Building: Build strong relationships with teams across the business to drive thought leadership and analysis that inform strategic decisions and process improvements.
- Pain Point Identification: Identify BI & IT pain points related to processes and/or resources to senior leadership and assist in resolution.
4. Analytics Lead Specific Job Summary
- Data Analysis & Mining: Perform quantitative analysis and data mining, presenting data to understand how customers and users interact with products.
- Problem Definition: Define problems and opportunities in complex or ambiguous areas.
- Decision Support: Inform, influence, support, and execute product decisions and launches.
- Cross-functional Partnership: Partner with Product, Engineering, and Research teams beyond the immediate team to improve product usage and adoption.
- Metrics Monitoring: Monitor key product metrics, understanding the root causes of changes in metrics.
- Data-driven Influence: Influence product teams with data-based recommendations, clearly communicating the state of the business, experiment results, etc., to product teams.
- Culture Contribution: Contribute to and grow the culture of excellence on the team by introducing processes and best practices.
- Strategic Guidance: Provide strategic guidance and advice in partnership with executive leadership.
- Cross-organizational Work: Work across the organization with key stakeholders such as wider people teams and business teams to ensure superior business and candidate experiences.
- Tools Review: Review current tools/platforms and regularly assess them for future usage.
5. Data Analytics Lead Accountabilities
- Executive Collaboration: Work closely with executives (e.g., CDOs, CIOs) from digital business and IT areas to open new ways and means for customers.
- Data Utilization: Help customers make their idle data resources usable and profitably employed.
- Strategic Development: Deal with a wide variety of topics, from designing information architecture to developing analytics strategies along the value chain to new approaches to data monetization (e.g., smart manufacturing, digital patient services, connected living).
- Governance & Trends: Define necessary governance structures and analyze the influence of industry trends.
- User Collaboration: Work with cross-functional users to understand data needs and map these to existing data extraction capabilities.
- Ad-hoc Development: Design and develop ad-hoc requests using existing data extraction tools.
- Validation: Validate that deliverables meet business needs and requirements, ensuring data accuracy and precision.
- Stakeholder Engagement: Work with various business stakeholders and undertake new projects on data warehousing based on business understanding.
- Data Strategy: Understand existing data lakes and help define the global data strategy.