BI Engineer
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
Offer value
Moderate job offering diverse BI responsibilities and industry relevance but lacks clarity on compensation and structure.
- Role centered on strategic BI initiatives.
- Collaboration opportunities with various business units.
- Focus on skill enhancement in BI practices.
Pros
- Focus on strategic BI initiatives promotes professional development.
- Chance to work with various data tools and technologies.
- Engagement with different business units strengthens collaboration.
Cons
- Unclear salary and benefits package might deter applicants.
- Potentially limited insights on career progression.
- Heavy reliance on cross-functional collaboration may be challenging.
Who it's for
Mid-level • Full-time
Good fit
- Mid-level BI professionals passionate about data.
- Individuals keen on influencing business strategy.
- Candidates desiring to work collaboratively in teams.
Not recommended for
- Entry-level candidates lacking necessary BI experience.
- Those preferring remote work only.
- Professionals unprepared for collaborative efforts.
Motivation fit
Key skills
About the job
eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE .
eNGINE is hiring a Business Intelligence Engineer to transform data into insights that drive business strategy and growth. This role involves collecting, analyzing, and visualizing data from multiple sources, ensuring data quality and accuracy, and providing stakeholders with actionable intelligence to guide decision-making.
Key Responsibilities
- Collect, organize, and analyze data from various internal and external sources to identify key business trends, patterns, and performance indicators.
- Design, develop, and maintain BI dashboards, reports, and data models to enable data-driven decision-making across the organization.
- Collaborate with business stakeholders, product owners, and data science teams to define business objectives, KPIs, and reporting requirements.
- Conduct thorough data quality testing and validation to ensure integrity, consistency, and reliability across all data sets.
- Translate analytical findings into clear, strategic recommendations and present them through compelling data visualizations and presentations.
- Partner with business units to identify opportunities for process improvement, operational efficiency, and strategic optimization.
- Ensure alignment between product requirements, data testing, and BI deliverables to maintain accuracy and business relevance.
Required Skills & Experience
- Proven experience in data analysis, business intelligence, or data validation.
- Strong analytical and problem-solving skills with the ability to interpret complex data and deliver actionable insights.
- Excellent communication skills with the ability to translate technical findings into business language.
- Detail-oriented approach with a strong focus on data accuracy and quality assurance.
Preferred Skills
- Familiarity with Agile or cross-functional product development environments.
- Experience collaborating with product owners or business stakeholders to define data-driven requirements.
Technical Proficiency
- Tools: Jira, Confluence, Microsoft Office Suite
- (Experience with BI tools such as Power BI, Tableau, or Looker is a plus.)
