Lifetime Brands is looking for a BI Analytics Engineer that will provide data and analytic needs within the organization and increase the use of data throughout the company, ensuring data needed is easily available for the decision-making process.
The ideal candidate will be creating data products and solutions that support end users.
Responsibilities:
- Develop and enhance the data and analytics capabilities of reports in our BI tool
- Manage the full life cycle of our data products, including gathering requirements, coding, test, deploying, and future proofing designs.
- Work with technical and non-technical stakeholders to improve current data & analytics processes and develop new capabilities
- Improve and add to data and analytics infrastructure
- Act as a liaison between the BI team and other internal teams on matters related to data sources, data access, and reporting availability
- Educate non-technical internal teams on our data products and how best to use data to inform their decision making process
- Work with business units to understand their data and create meaningful KPIs
- Create clear project requirements and meet deadlines
- Enhance the skills of the Business Intelligence team by creating and implementing new processes and tools that members of the team can benefit from
- Maintain documentation for systems, processes, and decisions.
We’re looking for a candidate who has:
- Minimum 3 years BI engineering experience
- Minimum of a Bachelor's degree in a STEM field (Science, Technology, Engineering, and Mathematics) or equivalent practical experience.
- Fluency in SQL
- Experience in working with BI reporting tools, Qlik is preferred
- Excellent verbal and written communication skills, with the ability to convey complex information in an understandable way.
- Robust analytical and problem-solving skills coupled with strong research capabilities.
- Meticulous attention to detail and a methodical approach to troubleshooting and resolving issues.
- Strong interpersonal skills with the ability to work effectively in a team
It would be great, but not required if you had:
- dbt experience preferred
- Python experience