Senior Business Intelligence Consultant Job Description Template
Our company is looking for a Senior Business Intelligence Consultant to join our team.
Responsibilities:
- Manage, build and own relationships with client stakeholders as part of a broader account strategy;
- Liaise with data scientists and technical resources to obtain data points relevant to the goals of the deliverables and clients you are working with;
- Independently understand the issues and goals, and interpret the results of an engagement in partnership with stakeholders;
- Clearly articulate derived insights into business relevant conclusions and data stories;
- Manage and build strong relationships with Cogito data scientists and account teams;
- Own and manage insights deliverables from end to end, from concept to delivery;
- Highlight risks and identify value adds within the data-driven results and processes;
- Manage/drive deliverables to completion, inclusive of keeping deliverable on track (or getting back on track);
- Create presentations, reports, and/or white papers that take into account the view from an outside party and can stand on their own;
- Prioritize workload and manage time effectively across multiple clients and deliverables.
Requirements:
- Extensive experience in consulting or working with large enterprise clients;
- Familiarity with statistics and statistical approaches;
- Expertise in data visualization and presentation tools, including Tableau, PowerPoint, Google Slides, Excel, etc;
- Expertise in communicating requirements and data needs to technical teammates;
- Strong understanding of how analytics can be used to support business/industry processes or challenges;
- BA in Information Systems or related field;
- Ability to work independently and adapt your style to rapid organizational and software changes;
- Ability to switch gears quickly and work in a fast-paced start-up culture;
- Willing to commute to client sites within the Chicago-land area;
- Can be productive independently and in a team environment;
- Authorization to work in the United States;
- Have written complex transformation logic to make the consumption of data clean, performant, and re-usable;
- Advanced experience working with ETL architectures, SQL, and database / data warehouse development;
- Advanced experience designing data models (dimensional, data vault, third normal form, etc.);
- Ability to bridge the gap between a technical team and business stakeholders.