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.
- Ac curacy & 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 Excel and Google Sheets for complementary analysis and quick checks.
- Knowledge of data modeling, warehousing concepts, and ETL processes.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search