Business Intelligence Analyst supporting operational reporting and visualization needs for productivity and workforce management. Developing dashboards and insights in Power BI and SQL.
About the role
- Business Intelligence Engineer at Welo Data designing and maintaining data infrastructure supporting analytics. Collaborating across teams to deliver high-quality, reliable insights from data.
Responsibilities
- Design, build, and maintain data pipelines and ELT/ETL workflows in AWS to support enterprise analytics and reporting.
- Develop and optimize dbt models that transform raw data into reliable, well-structured datasets for business use.
- Orchestrate workflows using Apache Airflow (MWAA) to ensure automation, reliability, and reproducibility of data processes.
- Partner with the Data Engineering team to align data architecture and ensure schema design supports analytics and business requirements.
- Monitor and optimize pipeline performance, reliability, and data quality across all layers of the data stack.
- Collaborate with analysts and business stakeholders to understand data needs and deliver governed, high-quality datasets.
- Build and maintain Power BI data models and support analysts in optimizing report performance and structure.
- Ensure data models and transformations are well-documented, version-controlled, and tested as part of a mature CI/CD analytics workflow.
- Engage with the broader analytics team to identify opportunities for automation, standardization, and improved data accessibility.
- Support Welo Data’s ongoing data quality and governance initiatives by ensuring accuracy, consistency, and traceability within pipelines and data models.
- Collaborate with the Data Quality & Governance Lead to identify and resolve data quality issues and contribute to continuous improvement of data management processes.
- Contribute to the development and maintenance of metadata, lineage, and documentation standards for analytics assets.
- Participate in sprint planning, retrospectives, and backlog grooming using Jira to manage tasks and progress.
- Document architecture decisions, data models, and workflows in Confluence to promote transparency and knowledge sharing.
- Operate effectively in an Agile environment, balancing technical rigor with responsiveness to evolving business needs.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field strongly preferred; equivalent experience acceptable.
- Minimum of 4 years of experience in data engineering, analytics engineering, or a related role with demonstrated impact in building and maintaining data pipelines and models.
- Proficiency in SQL and dbt for data transformation and modeling.
- Hands-on experience with AWS services, including Redshift, S3, Lambda, and Glue.
- Experience with Airflow (MWAA or similar orchestration tools) for workflow management.
- Familiarity with CI/CD workflows and version control using Git.
- Understanding of data warehousing concepts, dimensional modeling, and ELT design principles.
- Experience working within Agile methodologies, with practical use of Jira and Confluence for planning and documentation.
- Excellent communication and collaboration skills, with the ability to engage effectively across technical and non-technical stakeholders.
- (Preferred) Proficiency in Power BI, including data modeling and performance optimization.
- (Preferred) Knowledge of Python for automation and data pipeline development.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Business Intelligence Developer enabling enterprise solutions and performing in - depth data analysis at Early Warning Services. Collaborating with stakeholders to architect world - class dashboards and deliver business value.
Power BI Developer responsible for creating dashboards and data models for decision - making. Transforming raw data into insights using Power BI and collaborating with stakeholders.
Business Intelligence Analyst at CATHEXIS transforming data into insights for strategic decisions. Collaborating on AI - driven solutions at Peterson Space Force Base, Colorado.
BUSINESS INTELLIGENCE Analyst at Gunnebo creating BI solutions for data - driven decisions. Collaborating with stakeholders and optimizing existing BI systems in a hybrid workplace.
BI Consultant leading CPM project implementations for HICO Group, delivering modern planning solutions and consulting services to various firms.
BI Developer responsible for designing and maintaining reports and dashboards for BASF Agricultural’s enterprise - grade IT solutions. This role requires both technical expertise and leadership skills to drive efficient product delivery.
Data Operations BI Developer at 1st Central focusing on data warehouse performance and business intelligence reporting. Collaborating with teams to improve data usage within a flexible hybrid working environment.
Working Student Data/BI Analyst for CleanTech company 1KOMMA5°, focusing on renewable energy solutions and intelligent energy systems.
BI Analyst - Data Engineer managing ETL processes and delivering insights at iKnowHow. Collaborating with teams to support data - driven decision - making in a hybrid work environment.