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Power Bi Data Engineer Jobs in Nappanee, IN (NOW HIRING)

FlixBus

Senior Marketing Data Scientist (m/f/d)

Warsaw, IN · On-site

$120 - $190/hr

... and Engineering to ensure our incrementality evidence drives smarter, more transparent choices at ... Proficient in Python,SQL, Power BI and experienced with statistical modelling libraries such as ...

CONN-SELMER INC

Operations Business Analyst

Elkhart, IN · On-site

Develop and automate Power BI dashboards and KPIs including forecast accuracy, inventory position ... Engineering, Supply Chain, Operations Management, Business Analytics, Finance, Data Analytics, or ...

POLYWOOD

Director | Data Engineering

Syracuse, IN · On-site

HELP BUILD THE DATA FOUNDATION THAT POWERS SMARTER DECISIONS. POLYWOOD ® is looking for a Director of Data Engineering who thrives in a hands-on leadership environment and enjoys building scalable ...

1GLOBAL

Sales Operations Analyst

Warsaw, IN · On-site

$70 - $110/hr

Develop and maintain Power BI dashboards * Gather business requirements and translate them into reporting and analytical solutions * Analyse sales data to identify trends, opportunities and areas for ...

CCI Systems, Inc.

Data Center Technicians

South Bend, IN · On-site

Conduct fiber testing using OTDR (bi-directional and characterization), OLTS / power meter testing ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

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All JobsPower Bi Data Engineer JobsPower Bi Data Engineer Jobs in Nappanee, IN

Power Bi Data Engineer information

See Nappanee, IN salary details

$77.1K

$112.8K

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How much do power bi data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for power bi data engineer in Nappanee, IN is $112,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $121,700.00 per year, depending on experience, location, and employer.

What is a Power BI data engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What are the key skills and qualifications needed to thrive as a Power BI data engineer?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI data engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

Is Power Bi Data Engineer still in demand?

Power BI Data Engineers are in high demand due to the increasing need for data visualization and analytics in organizations. Skills in data modeling, ETL processes, and proficiency with Power BI tools are valuable, and demand is expected to grow as companies prioritize data-driven decision-making.

What job categories do people searching Power Bi Data Engineer jobs in Nappanee, IN look for?

The top searched job categories for Power Bi Data Engineer jobs in Nappanee, IN are:

What cities near Nappanee, IN are hiring for Power Bi Data Engineer jobs?

Cities near Nappanee, IN with the most Power Bi Data Engineer job openings:

Power Bi Data Engineer jobs near you

Senior Marketing Data Scientist (m/f/d)

FlixBus

Warsaw, IN • On-site

$120 - $190/hr

Other

Posted 5 days ago

Job description

At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable.

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an impact by owning and evolving our causal measurement practice - designing and running experiments that directly shape how we allocate our global marketing budget. You will work closely with a dedicated team across Marketing & Sales, Revenue Management, Reporting, and Engineering to ensure our incrementality evidence drives smarter, more transparent choices at scale.

About the Role
  • Own the design, execution, and continuous improvement of geo-based, time-based, and synthetic control experiment frameworks, ensuring methodological rigour and scalability across global markets and channels
  • Apply econometric and causal inference techniques - including difference-in-differences, synthetic control, and Bayesian structural time series - to measure the true incremental effect of marketing activities on bookings and revenue
  • Build and manage a structured test-and-learn programme across paid channels, identifying measurement gaps and prioritising experiments by expected business value
  • Contribute to the development and validation of attribution models (CLV-MTA and MMM), providing reliable benchmarks that reduce reliance on platform self-reported data
  • Translate complex causal findings into clear, actionable recommendations for a wide range of stakeholders including marketing teams, finance, and senior management
  • Review experiment designs, create thorough documentation, and help shape internal standards for how Flix measures marketing effectiveness across all channels
About You
  • Holds a Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field
  • Brings 5+ years of experience in a data science or quantitative research role, with hands-on expertise in designing and evaluating causal experiments such as geo experiments, time-series holdouts, or synthetic control studies
  • Demonstrate strong command of causal inference methods including difference-in-differences, synthetic control, Bayesian structural time series, or matched market testing
  • Proficient in Python,SQL, Power BI and experienced with statistical modelling libraries such as statsmodels, PyMC, CausalImpact, or equivalent tools
  • Comfortable with version control (Git), reproducible workflows, and cloud or data warehouse environments such as BigQuery or Snowflake
  • Proven ability to present statistical findings to non-technical audiences and contribute to strategic choices with data
  • Experience in marketing measurement, media mix modelling, or growth reporting is a plus - as is familiarity with Bayesian methods

We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!

What We Offer
  • Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
  • Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
  • Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
  • Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
  • Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.

At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
As we continue to expand across the globe, you can make a real difference in how we work.

If you’re ready to grow and lead your journey, Flix is the place for you!

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