Business intelligence (BI) consultants extract data and create meaningful insights about business operations. They find, validate, sort, and synthesize information to produce impactful visual presentations that assist decision-makers. They also advise companies on processes that can improve their business intelligence capabilities.

BI Consultant Job Description Template

We are searching for a BI consultant to assist in generating meaningful data-driven insights for our company operations. In this role, you will gather internal and external data and use it to create presentations about various aspects, such as costs, revenue, performance, market capitalization, growth, and competition.

To ensure success as a BI consultant, you should have an analytical background, a passion for data processing, and a flair for presenting complex concepts. A top-notch BI consultant will be adept at using figures, datasets, and reports.

BI Consultant Responsibilities:

  • Locating, reviewing, and validating data on the company and market.
  • Identifying trends and areas for BI analysis.
  • Educating stakeholders on the role of business intelligence.
  • Working with data analysts to prepare reports for decision-makers.
  • Producing insightful presentations to assist business managers and executives.
  • Overseeing BI projects under your control from start to finish.
  • Meeting with internal and external stakeholders to generate insight into decision-making.
  • Utilizing data analytics tools and visualization platforms.
  • Providing feedback and assistance to other employees based on your research.
  • Ensuring the security and confidentiality of all data, information, and documents used in BI operations.

BI Consultant Requirements:

  • A degree in data analytics, computer science, economics, or finance.
  • 3-5 years of experience in a data-related or business intelligence position.
  • Proficiency in data mining, business intelligence tools (e.g. Power BI), data processing frameworks, and report writing.
  • A working understanding or mastery of automation, machine learning, and database management.
  • Able to leverage different technologies, such as SQL, RPA, NLP, APIs, and data visualization platforms.
  • A business-savvy approach to data and its uses for companies.
  • Strong analytical skills, critical thinking abilities, and a passion for big data.
  • Problem-solving mindset and bigger-picture view of information.
  • Excellent interpersonal and leadership skills.
  • Impeccable presentation abilities and business acumen.