Data Analyst (Power BI)
Indexed description
Accountabilities / Key Responsibilities
- Dashboard & Report Mastery: Lead the development of high-quality, interactive dashboards and reports using Power BI or Tableau (and other BI tools as relevant).
- Ensure outputs are insightful, accurate, and aligned with evolving business needs.
- SQL-Driven Data Work: Master SQL to extract, manipulate, and transform large datasets from multiple sources. Build efficient queries, optimize performance, and ensure reliability of data pipelines.
- Data Cleansing & Mapping: Perform data cleansing and mapping using business logic or keywords to enhance data quality and consistency across reporting environments.
- Automation & Scalability: Contribute to the automation and long-term scalability of reporting and analytics capabilities, recommending and implementing process improvements to increase efficiency.
- Ad Hoc Analysis: Provide on-demand reports and deep-dive analyses to answer specific business questions, particularly around sales, traffic, and performance metrics.
- Collaboration: Partner with cross-functional teams (Account Management, Product, Tech) to gather requirements, design data solutions, and deliver actionable insights.
- Accuracy & Quality Check: Validate dashboard accuracy and reliability; troubleshoot discrepancies when needed to ensure outputs remain trusted by stakeholders.
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field.
- Postgraduate certification in analytics, digital transformation, or related specialization is a plus.
- EXPERIENCE 1-3 years of experience in data analysis, business intelligence, or data visualization roles. Proven expertise in building and leading dashboards/reports in fast-paced, client-facing, or business-driven environments. Familiarity with key performance metrics in areas such as sales, traffic, or other business performance data.
- Mastery of Power BI or Tableau, with a solid understanding of data visualization best practices. Strong SQL skills for data extraction, transformation, and working with large, complex datasets.
- Proficiency in Exel and Google Sheets for complementary analysis and quick checks. Knowledge of data modeling, warehousing concepts, and ETL processes.
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