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BI Developer

Job in Saint Paul, Ramsey County, Minnesota, 55199, USA
Listing for: Augeomarketing
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Summary

An Encore BI Developer will be responsible for designing, building, and maintaining business intelligence solutions – including interactive dashboards, automated reports, and scalable data models – that empower stakeholders across the organization to make informed, data-driven decisions. This individual will serve as a hands‑on builder, developing reporting solutions primarily while writing performant SQL against SQL Server and Snowflake environments. You’ll translate complex business requirements into polished, production‑ready BI deliverables and partner directly with business analysts, product owners, and engineering teams to define reporting strategies, surface trends, and proactively deliver insights that drive business outcomes.

You’ll also be expected to leverage AI‑powered analytics tools and agentic AI assistants to accelerate development, automate data preparation and quality workflows, and continuously improve the speed and depth of insight delivery across the organization.

Who You Are

An innovator who brings ideas to the table, works hard, tells your story, and builds new tech – someone who is a genuine collaborator who contributes to the team and helps accomplish amazing things in a high‑energy and dynamic environment.

High‑level

Job Requirements
  • Design, develop, and maintain enterprise‑grade dashboards, reports, and self‑service analytics solutions using Power BI and Domo to support operational, strategic, and executive decision‑making
  • Write, optimize, and tune complex SQL queries against SQL Server and Snowflake databases to extract, transform, and aggregate data for reporting and analytical purposes
  • Develop and manage ETL/ELT pipelines and dataflows to integrate data from multiple sources into a cohesive reporting layer
  • Perform thorough data validation and quality assurance to ensure accuracy, consistency, and reliability of all reporting outputs before delivery to stakeholders
  • Identify and implement opportunities to use agentic AI assistants for automated data quality checks, anomaly detection, trend analysis, and natural language report generation
  • Document reporting processes, data sources, data lineage, transformation logic, and business rules for future reference and knowledge sharing
  • Embrace Augeo’s CORE values – Collaborative, Objective, Responsive, and Earnest in all areas
Competencies
  • Strong written and verbal communication skills with the ability to present data insights clearly to both technical and non‑technical audiences, including executive leadership
  • Analytical mindset with strong attention to detail and a commitment to data accuracy and integrity
  • Organized, with the ability to manage multiple concurrent projects and work independently toward project‑driven deadlines, in person or remote
Desired Technical Skills
  • 3–5 years of hands‑on experience building dashboards, reports, and data models in a professional setting including writing complex SQL queries, with strong proficiency in joins, subqueries, window functions, CTEs, stored procedures, and query performance tuning
  • Experience with Domo, including building dataflows, creating Beast Mode calculations, designing cards and dashboards, managing connectors, and scheduling data refreshes
  • Solid experience querying and managing data from Microsoft SQL Server, including proficiency with SQL Server Management Studio (SSMS) and familiarity with SSIS or similar ETL tools
  • Experience working with Snowflake cloud data platform, including writing performant queries, understanding Snowflake architecture, and working with Snow SQL or the Snowflake web interface
  • Solid understanding of data warehousing concepts, star and snowflake schemas, dimensional modeling, and slowly changing dimensions
  • Exposure to additional BI platforms such as Tableau, Looker, or Qlik is a strong plus
  • Experience leveraging AI‑powered analytics and reporting tools (e.g., Power BI Copilot, AI‑assisted query generation, natural language BI interfaces) to improve productivity and reporting quality
  • Understanding of ETL/ELT processes and data pipeline architecture
Education and Experience
  • Four‑year college degree from a regionally accredited college or university in…
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