- Company Name
- Exclaimer
- Job Title
- Senior Data Analyst
- Job Description
-
Job title: Senior Data Analyst
Role Summary: Lead the design, development, and deployment of data models, analytics, and visualisations that enable end‑to‑end marketing funnel insight and drive data‑driven decisions across a SaaS business.
Expectations: Deliver reliable, scalable analytical solutions; validate marketing hypotheses; translate insights into actionable business narratives; foster a data‑driven culture; collaborate cross‑functionally with engineering, product, and commercial teams.
Key Responsibilities:
- Build and maintain robust, scalable data models that capture the entire marketing funnel from campaign spend to revenue impact.
- Apply advanced statistical methods (regression, data mining, time‑series forecasting) to uncover relationships and forecast performance.
- Design and implement experimental frameworks to test marketing hypotheses and validate assumptions.
- Create, publish, and iterate interactive dashboards and reports using Power BI, Tableau, or equivalent tools.
- Extract, transform, and load data using SQL and modern data platforms (Databricks, Azure Data Factory, Snowflake, BigQuery, etc.).
- Partner with Data Engineering to develop and manage a semantic layer for consistent, self‑service analytics.
- Communicate complex analytical findings to non‑technical stakeholders through clear business narratives.
- Coach business users on interpreting insights and using analytics to inform decisions.
- Monitor and improve data quality, performance, and security across analytics pipelines.
Required Skills:
- Expertise in SQL and relational data modelling.
- Proven experience with data visualisation tools (Tableau, Power BI, or similar).
- Hands‑on experience with data orchestration platforms (Databricks, Azure Data Factory, etc.).
- Strong statistical knowledge (regression, time‑series, forecasting, data mining).
- Familiarity with semantic layers and modern BI architecture.
- Excellent stakeholder management and cross‑functional communication.
- Experience in a SaaS or subscription‑based business context (preferred).
- Knowledge of cloud data platforms (Azure, Snowflake, BigQuery, etc.).
Required Education & Certifications:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing Analytics, or related field.
- Advanced certifications in SQL, data visualisation, or analytics platforms (e.g., Microsoft Power BI, Tableau Desktop Specialist) are a plus.