Data Analyst - DAX Power BI

Description :

Key Responsibilities :

- Collect, clean, and process data from multiple sources to ensure accuracy and consistency.

- Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and anomalies.

- Develop and maintain ETL pipelines to automate data ingestion, transformation, and loading processes.

- Write efficient SQL queries for data extraction, manipulation, and reporting.

- Utilize Python for data analysis, statistical modelling, automation, and advanced analytics tasks.

- Build interactive dashboards and reports using Power BI to present insights to stakeholders.

- Use Excel for data validation, pivot tables, advanced formulas, and quick analysis tasks.

- Collaborate with cross-functional teams (Product, Business, Operations, Technology) to understand data needs and deliver actionable insights.

- Assist in defining and tracking key performance indicators (KPIs) and business metrics.

- Ensure data quality, integrity, and security while working with sensitive information.

- Prepare clear and concise analytical reports, visualizations, and presentations for management.

Required Skills & Qualifications :

- Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

- 15 years of hands-on experience as a Data Analyst or in a similar role.

- Strong proficiency in:

- Python (Pandas, NumPy, data manipulation libraries)

- SQL (Joins, subqueries, window functions, optimization techniques)

- Excel (Advanced formulas, pivot tables, charts)

- EDA (statistical summaries, data profiling)

- ETL concepts and pipeline development

- Power BI (DAX, data modelling, dashboard creation)

- Solid understanding of relational databases and data warehousing concepts.

- Ability to translate complex data into understandable insights and business recommendations.

- Strong problem-solving abilities, attention to detail, and communication skills.

Preferred Qualifications (Optional) :

- Experience with cloud data platforms (AWS, Azure, GCP).

- Familiarity with version control tools such as Git.

- Exposure to machine learning fundamentals or predictive analytics