Lead Management & Analytics, Senior Manager (US Partners)

About the Role

Key Responsibilities

• Monitor key metrics, such as lead generation, conversion rates, customer acquisition cost (CAC), and return on marketing investment (ROMI).
• Provide data-driven recommendations, and analyze the customer lifecycle to improve acquisition, retention, and engagement.
• Perform forecasting, benchmarking, and exploratory analysis to identify trends, opportunities, and anomalies in marketing data.
• Conduct data analysis to generate actionable insights that inform marketing strategies, decision-making, and performance improvements.
• Query, clean, and integrate data from multiple sources to prepare datasets for analysis and reporting.
• Build and maintain marketing reports, dashboards, and scorecards to track key performance indicators (KPIs) and marketing metrics.
• Design and develop PowerBI dashboards and other visualizations to effectively communicate insights to stakeholders.
• Collaborate with marketing stakeholders to optimize visualization requirements and ensure dashboards are user-friendly.
• Partner with BI and data teams to align data pipelines, integrations, and models with reporting needs, addressing data quality and governance issues.
• Support ad hoc analysis requests and the development of marketing scorecards and executive reports to assess marketing impact.
• Maintain documentation of data analysis processes, reporting standards, and data visualization guidelines.
• Stay informed on marketing analytics trends and best practices to continually enhance the team's capabilities.

Requirements

• Bachelor's degree in Marketing, Business, Statistics, Data Analytics, Data Science or a related field.
• 8-10+ years of experience in data analysis, reporting, or business intelligence, preferably within a marketing context.
• Strong understanding of Channel Partner operations and go-to-market strategies for ISVs, ISOs, FIs, and Dealers.
• Strong understanding of marketing metrics, the customer lifecycle, and marketing best practices.
• Experience with data visualization tools such as Power BI, Looker, or similar platforms.
• Familiarity with querying and analyzing data from data warehouses (e.g., Snowflake, BigQuery).
• Advanced knowledge of data tools like Tableau, PowerBI, Looker, Salesforce Data Studio, Excel, and Power Query.
• Proficiency in data analysis techniques, including data cleansing, joining, and exploratory analysis.
• Experience with data visualization best practices and creating engaging visual reports and dashboards.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to communicate complex data concepts clearly to non-technical stakeholders.
• Familiarity with marketing automation platforms and CRM systems (e.g., Salesforce, Marketo, Pardot).
• Knowledge of forecasting techniques and marketing analytics frameworks.
• Data Visualization experience, is a plus.
• Experience with Customer Data Platforms (CDPs) and data integration concepts, is a plus.
• Experience with data science tools and techniques, such as R or Python, is a plus.

Nice to Have

• Data Visualization experience, is a plus.
• Experience with Customer Data Platforms (CDPs) and data integration concepts, is a plus.
• Experience with data science tools and techniques, such as R or Python, is a plus.

Qualifications

• Bachelor's degree in Marketing, Business, Statistics, Data Analytics, Data Science or a related field.