Senior Data Analyst, Marketing Performance

Overview

Slack is the work operating system that brings your people, apps, processes and data together with trusted generative and agentic AI, fueling productivity for every employee in every role. Millions of people work in Slack every day with global teams, partners and customers, sending over 700 million messages and automating processes with over 3 million workflows daily. As part of Salesforce, Slack is where Agentforce, an always-on digital workforce, works alongside your teams and amplifies the impact of sales, service, HR, IT and more. To learn more and get started with Slack, visit slack.com.

The Role

We are seeking a highly analytical and technically proficient Sr. Data Analyst, Marketing Performance to be a foundational partner in driving data-driven decisions across our Slack marketing organization.

This is a hands-on, execution-focused role prioritizing technical mastery in data manipulation and visualization. You will be the technical specialist who translates complex, raw data into robust, automated data solutions and actionable visualizations that power our understanding of marketing efficiency, ROI, and customer lifetime value. If you are a Data Ninja Guru in SQL and Tableau/Power BI, thrive in a fast-paced tech environment, and are driven to deliver strategic insights—this is your chance to build and own the end-to-end data lifecycle for a high-growth marketing team.

What You'll Do (Key Responsibilities)

The successful candidate will be a blend of a Data Expert and a Strategic Analyst, driving technical execution and collaboration across the following key areas:

• Data Modeling, Preparation, and Automation (The Technical Foundation)
• Architect and Model: Design, develop, and maintain scalable and reliable data models using expert-level SQL to harmonize data from various marketing platforms (e.g., ad platforms, CRM, web analytics) in partnership with Data Science and Data Engineering.
• Data Transformation (ETL/ELT): Utilize data preparation tools (e.g., Tableau Prep or comparable visual ETL/data wrangling solutions) to structure, clean, and automate the flow of marketing data, ensuring its accuracy and readiness for analysis.
• Data Integrity: Be the owner of marketing data quality, ensuring consistent tracking, proper joins, and reliable data lineage within our cloud data warehouse (e.g., Snowflake, BigQuery).
• Reporting, Visualization, and Storytelling (The "Ninja Guru" Output)
• Dashboard Development: Build and maintain insightful, scalable dashboards and reporting solutions (using Tableau) that clearly communicate key performance indicators (KPIs) and strategic recommendations to stakeholders.
• Actionable Insights: Move beyond simple dashboard maintenance to deliver strategic insights. Present complex data findings to non-technical stakeholders, driving alignment and fostering a culture of data-driven decision-making.
• Strategic Performance Analysis (The Business Impact)
• Deep-Dive Analysis: Utilize deep SQL skills to query, join, and model large datasets to conduct rigorous deep-dive analyses into marketing campaign performance, channel efficiency, and customer funnel conversion.
• Experimentation: Support the design and analysis of A/B tests and experimentation frameworks to measure the incremental impact of marketing initiatives and validate strategic hypotheses.
  
  

• Experience: 5+ years of progressive experience in a Marketing Analytics, Business Intelligence, or Performance Reporting role, ideally within a Tech Company environment.
• SQL Mastery (Non-Negotiable): Demonstrated ability to write complex, highly optimized queries, perform sophisticated data modeling, and build repeatable data transformations. Experience with cloud data warehouses (e.g., Snowflake, Google BigQuery, or Redshift) is required.
• Visualization "Ninja Guru" (Highly proficient): Deep experience with Tableau/Power BI/Looker for creating and managing enterprise-level, high-impact dashboards and reports.
• Data Preparation/ETL Tools: Direct experience using Tableau Prep or comparable visual ETL/data wrangling tools (e.g., Alteryx, Informatica).
• Domain Knowledge (Highly Preferred): Deep functional understanding of digital marketing channels (Paid Search, Paid Social, SEO, Email) and core concepts like multi-touch attribution, LTV, ROI, and CAC.
• Business Acumen: Strong ability to translate technical data findings into strategic, business-focused recommendations.
• Communication: Excellent communication, organizational, and project management skills.
• Detail-oriented with strong time management and project prioritization skills, operating in an unstructured environment
• Experience working with cross-functional teams and stakeholders
  
  

• Programming: Hands-on experience with Python or R for advanced analysis and data manipulation is a plus
• Salesforce experience and product knowledge is a plus
• Marketing Tools: Experience with Marketing Technologies and datasets via tools like Google Analytics, Marketing Automation (Marketing Cloud, Marketo, Hubspot, etc.), CRM (Salesforce), and Paid Media channels (LinkedIn, Meta, X, Youtube, etc.)