BI MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Sep 21, 2024 - The (BI) Business Intelligence Manager is skilled in leading Business Intelligence teams, optimizing performance, and fostering employee development to deliver impactful results. With a strong foundation in building scalable, fault-tolerant data infrastructures using tools like Airflow, Python, and Redshift/Snowflake. The roles excel in crafting efficient data pipelines and handling complex data challenges. This position expertise also extends to revenue analytics, compliance with SOX systems, and deploying scalable solutions across major cloud platforms such as AWS, Azure, and GCP, leveraging advanced database technologies and analytical practices to generate actionable insights.
Essential Hard and Soft Skills for a Standout BI Manager Resume
- Data Analysis and Visualization
- SQL and Database Management
- Business Analytics
- Data Warehousing
- BI Tools Proficiency
- Programming
- ETL Processes
- Project Management
- Statistical Analysis
- Machine Learning.
- Leadership
- Communication
- Problem-Solving
- Decision-Making
- Strategic Thinking
- Collaboration
- Adaptability
- Attention to Detail
- Time Management
- Empathy.
Summary of BI Manager Knowledge and Qualifications on Resume
1. BS in Computer Science with 7 years of Experience
- Successful Business Intelligence or analytics team management including performance management, employee development and delivery results
- Passion for creating data infrastructure technologies from scratch using the right tools for the job
- Experience in solving complex data processing and storage challenges through scalable, fault-tolerant architecture
- Experience in designing and building highly scalable and reliable data pipelines using (Airflow, Python, Redshift/Snowflake).
- Proficiency in Python and SQL including optimizing large data sets
- Prior experience in revenue analytics and building SOX compliant systems is a plus
- Prior experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases
- Experience in Insurance/Finance domain
- Preferably Manager specializing in Information Technology or equivalent.
- Good communication skills in English, Malay language for both spoken and written
2. BS in Information Systems with 5 years of Experience
- Successful Business Intelligence or analytics team management including performance management, employee development and delivery results
- Passion for creating data infrastructure technologies from scratch using the right tools for the job
- Experience in solving complex data processing and storage challenges through scalable, fault-tolerant architecture
- Experience in designing and building highly scalable and reliable data pipelines using (Airflow, Python, Redshift/Snowflake).
- Proficiency in Python and SQL including optimizing large data sets
- Prior experience in revenue analytics and building SOX-compliant systems is a plus
- Prior experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases
- Proven ability to lead analytics or data teams, deliver actionable insights, and apply strong judgment to prioritization.
- Data analytics experience (in a business or academic research setting) involving making hypotheses, accessing and prepping data and drawing actionable insights
- Demonstrated experience in gathering and analyzing data from a DWH through SQL queries
3. BS in Data Science with 3 years of Experience
- Natural deeply embedded passion for all things data
- Empathy and the ability to maintain meaningful relationships with different departments and levels of the organization
- Enjoy managing complex projects that keep business entities up-to-date and create valuable data-driven outcomes for teams
- Relevant working experience in the fields of data & analytics deally in fast-paced, high-performance environments
- Specialization in at least one data field like Marketing Analytics, Product Analytics, Sales Analytics, Customer Analytics, …
- Using Excel and SQL might also know Python, R or another language for data analysis
- Relevant experience along the entire value chain: Data collection (via Google Tag Manager, Google Analytics), visualization (PowerBI, Google Data Studio) & analyses (SQL, Excel)
- Fluency in German, and English
- Please note that we are looking for support in the Frankfurt or Düsseldorf office of portfolio company.
- Proven experience using business intelligence/big data tools (SSAS Cubes, Power BI/Quicksight, Cognos, Python, R, etc
- Decision Making/ Complex Problem Solving - proactively gathers the right data from appropriate sources, probes/considers all of the facts, considers other perspectives
- Able to drive clarity in the face of ambiguity
4. BS in Statistics with 6 years of Experience
- Knowledge of Microsoft Dynamics365 CRM
- Experience in database design, database management, and/or database marketing
- Experience implementing and executing large data warehouse projects ingesting data from multiple data sources
- Strong quantitative and statistical modeling skills and the ability to translate findings to all levels of the organization
- R and/or Python experience
- Experience with Tableau data visualization software a plus
- Advanced Excel user; proficient with Microsoft Office products
- Proven ability to multi-task and manage projects on strict deadlines
- Excellent verbal and written communication skills
- Flexibility to work evenings, weekends, and holidays