Business Intelligence Developer

September 2, 2024

Accenture

Timișoara

OTHER

About us

Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people, cutting-edge technology, and leading companies across various industries, making a significant impact worldwide.

How will you make an impact?

Data Analysis and Interpretation:
- Expertise in analyzing and interpreting complex data sets to derive actionable insights.
- Strong proficiency in statistical methods and data modeling techniques.
Data Warehousing:
- In-depth knowledge of data warehousing concepts and architecture, ensuring efficient data storage and retrieval.
- Hands-on experience with ETL (Extract, Transform, Load) processes to facilitate seamless data flow.
Database Management:
- Advanced proficiency in SQL for querying, managing, and optimizing relational databases.
- Solid understanding of relational databases, such as My SQL, Postgre SQL, and SQL Server.
- Familiarity with No SQL databases like Mongo DB or Cassandra is an added advantage.
Data Visualization:
- Expertise in designing and developing dashboards and reports that effectively communicate data insights.
- Ability to present complex data in a clear, concise, and actionable manner for stakeholders.
Programming Languages:
- Proficiency in SQL for efficient data manipulation and querying.
- Knowledge of scripting languages, such as Python or R, for advanced data manipulation and analysis.
Data Integration:
- Extensive experience with data integration tools and techniques, enabling the consolidation of data from multiple sources.
- Proven ability to seamlessly integrate data from diverse systems to provide a unified view.

What Makes the Difference
1. BI Platforms

Tableau: For creating interactive and shareable dashboards.
Power BI: For data visualization and business analytics.
Qlik View Qlik Sense: For self-service data visualization and discovery.
Looker: For data exploration and business insights.
AWS - Quick sight

2. ETL Tools

Talend: For data integration and ETL processes.
Informatica: For enterprise data integration.
Apache Nifi: For data flow automation and ETL.
Microsoft SSIS SQL Server Integration Services: For data migration and ETL.

3. Data Warehousing

Amazon Redshift: For cloud-based data warehousing.
Google Big Query: For large scale data analytics.
Snowflake For cloud data warehousing.
Microsoft Azure Synapse Analytics For big data analytics and data warehousing.

4. Databases

My SQL For relational database management.
Postgre SQL For advanced relational database management.
SQL Server For enterprise database management.
Oracle Database For large scale database management.

5. Data Visualization

D3.js :For custom data visualizations.
Matplotlib Seaborn Python: For data visualization in Python.
ggplot2: R For data visualization in R.

6. Data Preparation

Alteryx: For data blending and advanced analytics.
Trifacta: For data wrangling and preparation.

7. Cloud Platforms

AWS Amazon Web Services: For cloud based data storage and analytics e.g., AWS Glue, AWS Quick Sight .
Microsoft Azure: For cloud services and analytics e.g., Azure Data Factory, Azure Analysis Services.
Google Cloud Platform: For cloud computing and data analytics e.g., Google Data Studio, Google Cloud Dataflow .

8. Collaboration and Version Control