BI LEAD SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Sep 20, 2024 - The Business Intelligence (BI) Team Leader with advanced experience in deploying and visualizing data using PowerBI Server, excels in DAX and M Query language, and specializes in tuning PowerBI with a strong focus on semantic model design and PowerShell extensions. The role demonstrates expertise in business intelligence concepts and solutions, with a proven ability to identify KPIs, assess BI/EDW maturity, and develop governance and roadmaps. This position possesses excellent communication skills, adept at presenting complex analytics to non-technical audiences, and leads with a strong sense of business ethics and an agile methodology approach.
Summary of BI Team Leader Knowledge and Qualifications on Resume
1. BS in Computer Science with 4 years of Experience
- Hands-on technical experience with Oracle Business Intelligence Applications
- Knowledge and skills in Data warehousing methodologies and tools
- Technical expert at developing mappings and workflows using Informatica
- Hands-on dashboard development using Power BI and Oracle Business Intelligence Enterprise Edition (OBIEE)
- Technical expertise with Oracle SQL & PL/SQL
- Well-versed with the EBS modules (Order Management, Finance, Manufacturing and Purchasing)
- Advanced knowledge of process improvement methodologies
- Ability to coach and motivate the team to provide high-quality performance
- Advanced business alignment skills and knowledge
- Advanced skills in policy/procedure development
- Related professional certification(s) preferred
2. BS in Information Systems with 3 years of Experience
- Advanced and diverse experience with preparing, deploying, and visualizing data in a PowerBI Server environment.
- Expert in DAX and M Query language with strong performance in tuning PowerBI and semantic model design, PowerBI PowerShell extensions.
- Strong Interpret data models and are familiar with the Design and development of SQL queries, stored procedures and user-defined functions.
- Expert knowledge of business intelligence concepts, practices, and solutions as they pertain to central/ decentralized approaches, use of external data, reporting and self-serve methods.
- Good knowledge of the approaches for identifying KPIs, assessing BI/EDW maturity and setting up a BI/EDW governance and BI/EDW roadmap
- Advanced business acumen and business ethics to lead business intelligence initiatives and set strategic and tactical objectives
- Strong communication and presentation skills have the ability to communicate with the impact the ‘so-what’ of complex analytics to non-technical audiences
- Demonstrate a good understanding and experience working with agile methodology.
- Proven record of effective leadership, including the ability to balance team and individual responsibilities,
- Build teams and consensus, get things done through others not directly under his/her supervision, and work ethically and with integrity
3. BS in Data Science with 5 years of Experience
- Constantly be thinking about the best LTV to CAC ratio and live and breathe scaling.
- Worked with or built an attribution model before and are able to communicate clearly about its efficacy and application to budget management.
- Experience in creating BI solutions for marketers and salespeople before, empowering them with tools that made them more efficient.
- Experience in a keen eye for detail and are renowned for having high standards in your work.
- Be the commercially-minded person in the engineering discussion and the person pointing out the technical considerations in the meeting of business people.
- Experience in leading and executing a BI project from requirements gathering to satisfactory delivery,
- Experience in communicating to your stakeholders proactively and organizing resources.
- Strong visualization and analytical skills, and are able to use platforms such as Looker to derive insights and do situational scenario solving.
- Experience in managing or working with an agency before, collaborating to drive the best acquisition decisions.
- Experience in balancing BAU with the tactical.
- Experience managing workflows and multiple analysts
- Experience in SQL and MPPs such as BigQuery
- Experience in working with GA4 or Snowplow before
- Strong Google Analytics, Google Tag Manager, Google Ads, Google Display Network