Digital Data Analyst Role

Business Data Strategist Role This role is all about building the future of data-driven decision-making across a global organization.We're looking for an experienced Business Data Strategist who can own analytics, forecasting, and advanced modeling to optimize revenue growth, marketing efficiency, and pipeline strategy. The ideal candidate will work closely with our leadership team and play a pivotal role in shaping how the company grows worldwide.The successful candidate will have a strong understanding of SaaS GTM models, marketing funnels, CAC/LTV frameworks, and revenue attribution. They should also be able to design and measure ROI, CAC payback, and LTV models.Key Responsibilities: Data Strategy & Architecture: Create a global analytics ecosystem, including data ingestion, warehousing, modeling, visualization, and governance. Partner with engineering to enhance data pipelines and marts in Snowflake/SQL. Establish data governance standards for accuracy and consistency across reports. Marketing Funnel & Revenue Insights: Ownto end-to-end funnel reporting: lead gen, pipeline velocity, CAC, ROAS, conversion rates, and payback periods. Identify inefficiencies in the funnel and design data-backed solutions with Marketing & Sales leadership. Continuously measure campaign ROI, connecting top-of-funnel spend to bottom-line revenue. Forecasting & Predictive Modeling: Lead global forecasting processes, ensuring accuracy in pipeline and revenue projections. Build ML/statistical models to predict ROI, pipeline creation, and campaign outcomes. Run scenario simulations to guide marketing spend allocation and growth vs. efficiency trade-offs. Applied AI/ML & Advanced Analytics: Apply ML/AI frameworks to optimize lead scoring, churn prediction, and customer lifetime value (LTV). Automate insights delivery using Python, SQL, and AI APIs (OpenAI, Google Gemini, etc.). Explore advanced use cases: attribution modeling, sentiment analysis, hyper-personalization. Business Partnering & Leadership: Act as the analytical partner to global Marketing & Sales leadership. Presents insights in executive-ready, narrative-driven formats. Collaborate cross-functionally with Finance, Product, and Customer Success to create a holistic growth view. Visualization & Self-Serve Analytics: Leadin the design of real-time executive dashboards (Tableau, Power BI). Build scalable, reusable BI assets and empower teams with self-serve analytics. Partner with BI engineering to ensure dashboard optimization and performance. Ad-Hoc & Strategic Analytics: Conduct deep-dive analyses on campaign effectiveness, regional pipeline trends, and sales productivity. Deliver rapid-turnaround insights to support C-suite decisions. Create benchmarking frameworks against SaaS industry best practices. What You Will Bring: Technical Skills: 8+ years in Business Insights, Marketing Analytics, GTM Analytics, or Marketing Operations. Advanced proficiency in SQL & Python for data manipulation, automation, and modeling. BI & Visualization Tools: Tableau, Power BI (Sigma BI a plus). CRM Platforms: Salesforce (campaign analytics, pipeline management). Familiarity with MarTech stacks, attribution tools, and marketing automation platforms. Experience applying ML/AI for marketing, including lead scoring, churn modeling, and campaign ROI prediction. Ability to integrate and analyze large-scale, multi-source datasets across Sales, Marketing, Finance, and Product systems. Business Acumen: Strong understanding of SaaS GTM models, marketing funnels, CAC/LTV frameworks, and revenue attribution. Experience designing and measuring ROI, CAC payback, and LTV models. Familiarity with working in US-based multinational SaaS or B2B organizations preferred. Leadership & Influence: Ability to translate complex data into strategic, executive-ready narratives. Proven track record of cross-functional stakeholder management across geographies and cultures. Experience influencing decision-making at both operational and strategic levels. Personal Attributes: Results-oriented, detail-driven, and highly analytical. Thrives in fast-paced, high-growth environments with shifting priorities. Self-motivated problem-solver with a bias toward action and automation. Excellent verbal and written communication skills, with a talent for storytelling with data.

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