- Company Name
- Reveal Media
- Job Title
- Senior Data Analyst
- Job Description
-
**Job Title**
Senior Data Analyst
**Role Summary**
Drive data‑driven decisions for Reveal’s global service operations by extracting, transforming, and visualising data from Azure, Salesforce, Halo ITSM, and related platforms. Build advanced Power BI dashboards, robust data models, and forecasting tools. Lead AI‑enabled analytics initiatives using Python and modern generative AI tools to automate insights and enable self‑service reporting.
**Expectations**
- Deliver accurate, timely analytics and dashboards to senior executives, sales teams, and service delivery units.
- Automate recurring reports and reduce spreadsheet dependence.
- Implement AI‑assisted tools that enhance insight generation and operational efficiency.
- Maintain high data quality, governance, and consistent KPI definitions across regions.
**Key Responsibilities**
- Design, develop, and maintain ETL pipelines for Azure, Salesforce, Halo ITSM, and external systems.
- Build data models to support operational, commercial, and executive reporting.
- Analyze service performance (SLAs, MTTR, incident volumes, backlog, repair cycles, device failure patterns) and develop trend & forecast models.
- Create and standardize Power BI dashboards for diverse audiences (executives, sales, ops, customers).
- Automate reporting workflows with Python, including development of Copilot/ChatGPT‑style agents and natural‑language interfaces.
- Collaborate with stakeholders to identify high‑value AI use cases.
- Provide analytical support for continuous improvement, risk identification, and strategic customer reviews.
- Enforce data governance, KPI documentation, and data quality controls.
**Required Skills**
- Advanced proficiency in Power BI (dashboard design, DAX, data modeling).
- Strong Python programming (pandas, numpy, scikit‑learn, data automation).
- Experience with Azure data services (Azure SQL, Data Factory, Synapse).
- Exposure to Salesforce, ITSM platforms (Halo, ServiceNow).
- ETL development and API integration skills.
- Statistical analysis and forecasting (time‑series).
- Familiarity with AI/ML tools (Copilot, ChatGPT, LangChain).
- Excellent communication and data storytelling for varied audiences.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Science, Statistics, or related field (Master’s preferred).
- Professional certifications: Power BI, Azure Data Engineer Associate, or equivalent are a plus.