Business Intelligence Engineer

2 weeks ago


Hyderabad, India Vitasta Consulting Pvt Ltd Full time

Business Intelligence Engineer (Contract)

Location : Remote (Hyderabad)

Experience : 5-7 years

CTC : 15-20 LPA

Duration : 1 year

Job Description :

We seek a highly skilled Business Intelligence Engineer to join our team on a contract basis. The ideal candidate will have a strong foundation in data analysis and a deep understanding of business intelligence tools and technologies. This role will be pivotal in extracting valuable insights from our data to drive informed :

- Data Analysis : Utilize advanced Python skills to analyze large datasets and identify trends, patterns, and anomalies.

- Data Visualization : Create compelling data visualizations using tools like PowerBI to communicate complex insights effectively.

- Data Modeling : Design and implement robust data models to support business intelligence reporting and analysis.

- Cloud Integration : Leverage Azure Cloud services to build scalable and efficient data pipelines and analytics solutions.

- Power Apps Development : Develop custom business applications using Power Apps to automate processes and improve efficiency.

- Collaboration : Work closely with business stakeholders to understand their requirements and deliver actionable insights.

Required Skills :

- Python : Advanced proficiency in Python programming, including data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib).

- Excel : Expert-level Excel skills, including data modeling, pivot tables, and advanced formulas.

- Azure Cloud : Intermediate understanding of Azure cloud services relevant to data engineering and analytics (e.g., Azure Data Factory, Azure Synapse Analytics).

- Power Apps : Intermediate proficiency in developing custom business applications using Power Apps.

- PowerBI : Beginner to intermediate knowledge of PowerBI for data visualization and reporting.

Preferred Skills :

- Experience with SQL and database management systems.

- Knowledge of data warehousing and data lake concepts.

- Experience with machine learning

(ref:hirist.tech)

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