Senior Data Analytics Manager, Marketing Analytics
Ironclad
PythonSQLTableau
Senior Revenue Analyst
CGWS - COME GROW WITH US
full-time
Posted on:
Origin: • 🇺🇸 United States • Utah
Visit company websiteJob Level
Senior
Tech Stack
PythonSFDCSQLTableau
About the role
- Sit in the Revenue Operations organization to deliver a key value by ensuring that our decision-making is centered around the performance of our go-to-market engine.
- Drive growth and profitability through the insights that influence our strategy.
- Be involved in many of the critical decisions to capitalize on our market investment and return the highest yields.
- Partner closely with the Sales Leadership Team, providing in-depth analysis and actionable insights to improve processes and drive bottom-line results.
- Partner cross-functionally with our data engineering, FP&A, and Product teams on sales analytics.
- Build operational forecasts and run strategic funnel analysis to highlight the sales and marketing funnel and determine opportunities to improve efficiency and effectiveness.
- Analyze the KPIs and unit economics of our sales model to identify risks/opportunities to focus on for improvement.
- Analyze trends and variances across sales segments, product categories, pipelines, etc.
- Leverage data to tell a story and present it through data visualizations in compelling dashboards and reports.
- Build and own the data sets that sales leaders and teams use to actively manage their businesses.
- Meet with stakeholders to scope future projects and manage expectations on timelines.
- Function as an integration point between data and financial teams to help set expectations on capabilities, projects, and initiatives and ensure compliance to revenue recognition standards.
- Assist in preparing recurring reports, such as Monthly Business Reviews, forecast meetings, leadership summaries.
- Function as the expert on data for the revenue organization, including data architecture for systems of record and data consumption systems.
- Operate as the “source of truth” for data and insights.
Requirements
- Sales Analytics Experience: You have 5+ years of experience in prior strategic analytical roles, with at least a few years heavily focused on sales analytics (an understanding of the SaaS sales funnel and GTM strategy is very important).
- Coding Skills: You know how to create SQL queries to retrieve and manipulate data. You have used Python professionally and are skilled with several associated libraries.
- Tableau Skills: You consider yourself a wizard in Tableau - you can whip up compelling and clear data visualizations and analytics with ease.
- Excel Skills: You can often be found building things in Excel and calling it fun!
- Salesforce Exposure: You understand how to get data from Salesforce.com to provide reporting and inform dashboard creation.
- Executive Presence: You bring confidence, understanding, and empathy to cross-functional partnerships and are comfortable working directly with senior leadership teams.
- Stakeholder Collaboration: Adept at influencing and collaborating with cross-functional teams to achieve successful outcomes, even when team members do not report directly to you.
- Business Acumen: You have a strong understanding of general business operations, and the ability to model those areas, while inserting the data and intelligence to make them better.
- Strategic Thinking: You're a strategic thinker with the ability to connect to the big picture while working in the sometimes ambiguous details.
- Storytelling: You know how compel action through storytelling based upon what the data is telling you, without being biased.
- Problem Solving: Skilled in breaking down complex and ambiguous projects into clear, actionable steps and tasks.
- Employment contingent on passing both a background and credit check.
- Analyst experience in the SaaS industry (preferred).
- SQL/data warehouse experience (preferred).
- Experience with core Revenue analytics tech stack: Tableau, Salesforce, Snowflake (preferred).
- Exposure to dependent systems: Marketo, LeanData, SalesLoft/Outreach, CaptivateIQ, Adaptive, Netsuite (preferred).
- You have a degree in Finance, Business Analytics, Business Intelligence/BI, Data Science, or a related field (preferred).
