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Senior Business Intelligence Engineer

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Company Summary

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A fast‑growing technology firm that delivers data‑centric solutions to help businesses transform raw information into strategic insights. The organization leverages cloud platforms, advanced analytics, and modern BI tools to empower clients across finance, marketing, and operations with real‑time decision‑making capabilities.

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Day‑to‑Day Duties & Core Responsibilities

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Design, implement, and maintain scalable data warehouses, data marts, and ETL pipelines on cloud platforms.
Collaborate with product, finance, marketing, and operations teams to gather requirements and convert business questions into technical specifications.
Develop interactive dashboards, reports, and visualizations that track key performance indicators and provide actionable insights.
Ensure data quality, governance, and security by applying best‑practice frameworks and monitoring processes.
Conduct ad‑hoc analyses and deep‑dive investigations to support executive decision‑making and strategic initiatives.
Mentor junior BI engineers and analysts, fostering knowledge sharing and continuous improvement.
Stay updated on emerging BI technologies and industry trends to drive innovation within the analytics function.

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Must‑Haves (Essential Qualifications)

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7–10 years of professional experience in business intelligence, data engineering, or a related discipline.
Strong expertise in SQL, data modeling, and query optimization.
Hands‑on experience with at least one major BI platform (Tableau, Power BI, Looker, Qlik, etc.).
Proficiency with cloud data services such as AWS Redshift, Snowflake, Google BigQuery, or Azure Synapse.
Demonstrated ability to translate complex business problems into robust data solutions.
Excellent communication skills and the capacity to present technical concepts to non‑technical stakeholders.
Self‑motivated problem‑solver with a proactive attitude toward continuous improvement.

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Nice‑to‑Haves (Desired Experience & Skills)

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Programming experience with Python or R for data manipulation and advanced analytics.
Familiarity with big‑data technologies (Hadoop, Spark) and streaming data pipelines.
Background in finance, marketing analytics, or operations analytics.
Relevant certifications (AWS, Azure, Google Cloud, Tableau, Power BI, etc.).
Ability to manage multiple projects simultaneously and meet tight deadlines.

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Salary & Benefits

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Compensation: $4,000 – $7,000 per month (USD), commensurate with experience.
\nBenefits include: comprehensive health insurance, 401(k) matching, paid time off, professional development reimbursement, flexible work arrangements, and employee wellness programs.

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