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Data Bi Engineer Jobs in Kentucky (NOW HIRING)

Toyota

BI/SQL Developer

Louisville, KY · On-site

The BI/SQL Reports Developer designs, develops, documents and maintains database and Business ... Analyzes and profiles data for creation of operational and analytical tabular reports and ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

... g., BI, reporting, machine learning, deep learning) * Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation Experience supporting or ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

... g., BI, reporting, machine learning, deep learning) * Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation Experience supporting or ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

... g., BI, reporting, machine learning, deep learning) * Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation Experience supporting or ...

Airlines Reporting Corporation

Data Engineer IV

Louisville, KY · On-site

$110K - $132K/yr

We are looking for a Data Engineer IV to join our team! In this role you will be a key driver of ... Experience with BI Technologies (such as AWS Quick, PowerBI, Tableau, Jasper, Cognos, Qlik, Looker ...

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Data Bi Engineer information

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in Kentucky? For Data Bi Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Bi Engineer jobs in Kentucky look for? The top searched job categories for Data Bi Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Data Bi Engineer jobs? Cities in Kentucky with the most Data Bi Engineer job openings:
Data Bi Engineer jobs near you

BI Developer

Futran Tech Solutions Pvt. Ltd.

Erlanger, KY • On-site

Full-time

Posted 19 days ago

Job description

Role Title: BI Developer
Location: 3940 Olympic Blvd Suite 400, Erlanger, KY 41018 ( Onsite , In office, all 5 days)
5 - 8 years of total experience
3 - 5 years in BI development (dashboards, reports, KPIs)
2+ years working with modern Microsoft BI stack
1+ year exposure to cloud data platforms (Fabric, Synapse, Azure SQL, or similar)
Target senior-level BI Developers with 5 - 8 years of experience, strong Power BI and Microsoft Fabric expertise, solid data modeling and ETL skills, and the ability to work onsite and independently absorb reporting workload during the Fabric rollout.
Role at a Glance Onsite: BI contractor working alongside our Data & Analytics team. Hands-on SQL development, report building, and Power BI work across our Microsoft data stack (SQL Server, Azure, Fabric, Power BI). Must operate independently and communicate clearly with both technical and business stakeholders.
Must-Have Technical Skills
  • Strong SQL (Structured Query Language) - able to translate between SQL logic and business context in both directions
  • SSRS (SQL Server Reporting Services) - heavy emphasis, non-negotiable
  • SSMS (SQL Server Management Studio)
  • Power BI - dashboards and paginated reports
  • DAX (Data Analysis Expressions) and M language
  • ADF (Azure Data Factory)
  • PySpark / SparkSQL
  • Python for accessing APIs (Application Programming Interfaces) via standard libraries or equivalent
  • Excel Macros and Power Query
  • Working knowledge of Microsoft Fabric (basic is fine - we'll ramp them up)

Required Soft Skills
  • Proactive self-starter - doesn't wait to be handed assignments
  • Researches independently before asking questions
  • Audits their own output thoroughly and calls out inconsistent or unexpected results
  • Communicates effectively when requirements need clarification

System Access
Access may be granted based on role and need. Relevant systems include Production Sapphire, Sales & Land CRM, Site Manager, Construction Online, Association Management, and Teamworks.

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