Bi analyst
job summary:
key responsibilities:
- data analysis: collect, analyze, and interpret large datasets to provide actionable insights and recommendations to stakeholders.
- ai & ml integration: leverage ai and ml generative models to enhance data analysis and build predictive analytics capabilities.
experience with prompting language and integrating these models into bi tools is required.
- reporting: develop and maintain comprehensive reports and dashboards using power bi, ensuring they reflect accurate and up-to-date data from various sources.
- data visualization: design and implement advanced data visualizations in power bi that clearly communicate insights to business users.
- quality audits: participate in the quality audit process for supply chain and product, using data analysis to support audit findings and recommendations.
- database management: leverage strong knowledge of sql, relational databases, data warehousing, and data modeling to manage and analyze data effectively.
- advanced excel skills: utilize advanced excel functions, data analysis tools, and automation techniques to support data-driven decision-making.
- collaboration: work closely with cross-functional teams, including finance, marketing, operations, it, and quality audit teams, to understand business requirements and provide data-driven solutions.
- data integrity: ensure the accuracy, quality, and integrity of data by conducting regular audits and troubleshooting discrepancies.
build effective processes to identify inaccuracies.
- trend analysis: identify trends, patterns, and anomalies in data that can inform strategic decision-making.
- process improvement: propose and implement improvements to existing bi processes, including data collection methods and analysis techniques.
- documentation: maintain clear and organized documentation of data models, methodologies, and processes.
qualifications:
- education: mba a plus, with a focus on data science, business analytics, information systems, or a related field.
- experience: 3+ years of experience in business intelligence, data analysis, or a similar role.
- advanced experience in integrating data from multiple sources via apis.
- strong proficiency in sql and relational database management.
- experience with data warehousing platforms such as snowflake, amazon redshift, google bigquery, or microsoft azure synapse analytics.
- experience with ai and ml generative models, including prompt engineering and integrating these models with bi tools.
- advanced excel skills, including data analysis, power query, and automation techniques.
- reporting skills: proven ability to generate advanced bi reports in power bi, connecting and compiling data from various sources.
- analytical skills: strong analytical and problem-solving abilities with a keen eye for detail.
- communication skills: excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner.
- time management: ability to manage multiple tasks and prioritize effectively in a fast-paced environment.
- attention to detail: high level of accuracy and attention to detail in work products.
- business acumen: understanding of business processes and how data analysis can impact decision-making.