Business Intelligence (BI) Engineer at Lakarya LLC
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Sep, 25

Salary

0.0

Posted On

17 Jun, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Tableau, Microstrategy, Information Systems, Power Bi, Looker, Agile, Computer Science, Scripting Languages

Industry

Information Technology/IT

Description

JOB SUMMARY:

We are looking for a Business Intelligence (BI) Engineer to design, develop, and maintain BI solutions that turn data into knowledge. You will work closely with cross-functional teams to gather requirements, analyze data sources, and build dashboards, reports, and data models that drive business decisions.

REQUIRED SKILLS & QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 3+ years of experience in a BI Engineer or Data Analyst role.
  • Strong proficiency in SQL and data modeling concepts.
  • Experience with BI tools such as Power BI, Tableau, MicroStrategy, or Looker.
  • Solid understanding of data warehousing concepts and ETL processes.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts to non-technical stakeholders.

PREFERRED QUALIFICATIONS:

  • Experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery).
  • Experience with scripting languages such as Python or R.
  • Familiarity with version control systems (e.g., Git).
  • Knowledge of Agile or Scrum development methodologies.
  • Experience working with large, complex datasets and data governance principles.
    Job Type: Contract

Schedule:

  • Monday to Friday

Work Location: Remot

Responsibilities
  • Design, develop, and maintain scalable BI solutions including dashboards, reports, and data visualizations.
  • Collaborate with business stakeholders to gather requirements and deliver insights that support strategic initiatives.
  • Build and optimize data models to support self-service analytics and enterprise reporting.
  • Develop ETL processes to integrate data from multiple sources into the BI platform.
  • Ensure data accuracy, integrity, and consistency across reporting systems.
  • Conduct data profiling, cleansing, and transformation to ensure quality output.
  • Monitor BI system performance and troubleshoot issues proactively.
  • Create documentation for BI solutions, data models, and workflows.
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