Business Intelligence Engineer

Provisions Group; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

A leading company in IT services is seeking a Sr. Recruiter in Data to support various aspects of data management including pipeline design, analytics, and business insights. The ideal candidate will have strong SQL skills and experience in data visualization tools while driving key decisions through analytical practices.

Qualifications

• 3–5+ years in data engineering, BI, or analytics roles required.
• Strong SQL skills are essential.

Responsibilities

• Support business insights by developing actionable KPIs.
• Design and build data pipelines from multiple sources.
• Create dashboards and reports for stakeholders.

Skills

SQL

Data Visualization

Data Quality and Governance

Analytical Mindset

Communication

Tools

Snowflake

Power BI

DBT

Fivetran

Job description

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Sr. Recruiter & Client Development – Data at Provisions Group

Role Overview and Responsibilities:

• Support Business Insights: Work closely with internal and external stakeholders to develop actionable KPIs and measure outcomes that actually drive decisions.
• Design & Build Data Pipelines: Gather, consolidate, and transform data from multiple sources (Azure SQL, Mongo, third-party APIs) into a clean and organized data warehouse.
• Data Modeling & Semantics: Define and implement best-practice models for analytics, ensuring consistency and clarity in our data.
• Visualization & Reporting: Create dashboards and reports for customers, internal teams, and partners for either standalone consumption or via an integrated experience with our SAAS and mobile applications.
• Set the Technical Vision: Collaborate with engineering, product, and UX teams to ensure our data approach supports immediate business needs and scales for the future.
• Establish Data Quality & Governance: Own processes for data validation, stewardship, and overall reliability to ensure the dashboards and data are accurate and can be trusted.
• Enable Self-Service Analytics: Provide frameworks and guidance so stakeholders can explore and answer their own questions.
• Ongoing Improvement: Monitor, tune, and refine data pipelines, dashboards, and analytics processes to ensure performance, reduce friction, and support future growth.

Required/Desired Experience:

• Proven Data Chops: 3–5+ years working in data engineering, BI, or analytics engineering roles—strong SQL skills are essential
• Tooling & Frameworks: Hands-on experience with modern data warehouses (Snowflake, Redshift, BigQuery), data tools (DBT, Airbyte, Fivetran, Stitch), and data visualization platforms (Power BI, Tableau, Looker, etc.)
• Strong Analytical Mindset: Able to translate raw data into meaningful insights, factoring in data quality, completeness, and end-user needs
• Excellent Communication: Equally comfortable talking to engineers about data structures and indexes as you are talking to stakeholders about insights and driving action
• Ownership: There are no missed opportunities with

Helpful, But Not Required Experience:

• Familiarity with SQL Server and Mongo as key data sources
• Experience embedding analytics into SaaS or mobile apps
• Understanding of machine learning and AI tools and concepts

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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