Lead, mentor and scale the Data Sciences Lab (Web Analytics + BI).
This group delivers measurement, reporting, insights, and recommendations using data related to campaigns, website performance, lead acquisition, and lead funnel flow.
Develop – robust and scalable solutions for business intelligence needs – for both internal and external stakeholders
Implement / Troubleshoot tech and business solutions across the entire BI/Analytics ecosystem – connectors, warehouse and transformation (Snowflake, Amazon Quicksight, Tableau, Qlik, Fivetran, etc.)
Manage and process data from various marketing data sources like Google Ads, Google Analytics, GTM, Facebook, Salesforce, Hubspot, Twitter, TikTok, LinkedIn, Shopify, etc.)
Provide insights – answer the ‘What’, along with the ‘Why/When/Who.’ (leveraging AI/ML)
Deliver modern dashboards with a healthy mix of lagging and leading metrics for marketing professionals
Actively enable decision-making and equip teams to practice data-driven marketing truly
Build expertise and offer advanced analytics services to our clients”
The role will require the leader to build complex and straightforward dashboard solutions for clients and Arena Calibrate. Build a robust data practice – wrapped around the Arena Calibrate tech infrastructure. We will leverage this to provide both standard (product) and custom (services) solutions for clients
Optimize usage and metrics across various data sources. Plan data requirements to answer business questions
Discuss and document customization needs that clients need on the product. Communicate back with timelines of completion
Plan and prioritize daily tasks to ensure timely delivery and data accuracy
Troubleshoot data discrepancies within the data warehouse vs. the data source
Built organizational capability in related areas like GA/GTM/Attribution etc.
The leader will have P&L responsibility for the DSL (including marketing, product etc.)
Contribute effectively on sales proposals that include Analytics or BI services
Understand and help mitigate data security risks as the product scales”
Experience working with Marketing data
Critical thinking and problem-solving approach
Understand the technology stack and architecture for a BI business / solutions
Outstanding written and oral communication
Excellent phone and email etiquette – Adaptability and teamwork to develop a rapport and working relationship with our customers