Need Business Intelligence (BI) Developer - Remote

  • Posted 5 hours ago | Updated 5 hours ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

ETL/ELT
Snowflake
Power BI
Tableau
Looker
SQL
Qlik
AWS
Azure
GCP
Python
CI/CD

Job Details

Role: Business Intelligence (BI) Developer

Location: Remote

Duration: Long Term

Key Responsibilities
Gather, analyze, and refine business requirements for reporting, analytics, and decision support.
Design, build, and maintain scalable ETL/ELT pipelines to integrate data from multiple internal and external sources.
Develop and maintain data warehouse / data mart structures (dimensional modeling like star/snowflake schemas).
Create, enhance, and manage dashboards and reports using BI tools (e.g. Power BI, Tableau, Looker, etc.).
Translate data into clear, insightful visualizations and reports for business stakeholders.
Perform data validation and ensure data integrity, consistency, and security.
Monitor BI systems performance; optimize queries, dashboards, and data processes for speed and reliability.
Maintain and update technical documentation (data dictionaries, metadata, report logic).
Collaborate with cross-functional teams: Data Engineering, Software Development, Product/Business units.
Support self-service BI initiatives: enable business users to access, query, and use data appropriately.
Provide training or guidance to end-users on BI tools and reporting best practices.
Stay up-to-date with BI, analytics, and data management best practices and technologies.
Required Qualifications
Bachelors degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field.
5+ years of experience in BI development / data analytics (or adjust per seniority).
Strong experience with SQL, database design, querying & optimization.
Proficiency in at least one BI / data visualization tool (e.g. Power BI, Tableau, Looker, Qlik).
Experience building ETL/ELT pipelines; knowledge of relevant tools or platforms.
Solid understanding of data warehousing concepts (fact & dimension tables, star/snowflake schema, normalization vs denormalization).
Strong analytical mindset; ability to interpret business data and draw insights.
Excellent communication skills; ability to work with non-technical stakeholders to understand business needs.
Attention to detail, especially for data quality, consistency, and security.
Preferred Qualifications
Experience with cloud-based data platforms (e.g. AWS, Azure, Google Cloud) and associated tools.
Prior experience with large-scale data systems / big data.
Experience with scripting languages such as Python, R.
Familiarity with metadata management, master data management, data governance.
Experience with version control, CI/CD for data pipelines / BI artifacts.

Regards,

Radinatze Inc

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