Data Analytics Engineer (Consultant)
- Appleton, WI, United States
Remote
$35 USD / hour
Applications open in a new tab.
Job details
- Pay
- $35 USD / hour
- Workplace
- Remote
- Posting language
- English
- Posted
Original job description
The Boldt Company, a subsidiary of The Boldt Group Location: Remote, United States
At Boldt, we build more than complex projects. We build strong relationships, great teams, and lasting impact.
The Boldt Company is seeking a Data Analytics (Consultant) Engineer to design, engineer, and maintain business-ready data products that power enterprise reporting, analytics, and AI. This role connects data engineering, business intelligence, and AI enablement, ensuring trusted data is curated, governed, and optimized for use across Power BI, advanced analytics, and emerging AI solutions.
You will work within Boldt's enterprise analytics platform built on Databricks Lakehouse architecture and Power BI. You will partner with business users, analysts, and technology teams to translate business needs into scalable data products, semantic models, and reporting solutions that support better decisions across the organization.
If you are an experienced analytics or data engineering professional who enjoys solving complex problems, improving how teams use data, and helping shape modern analytics and AI capabilities, we encourage you to apply and start a conversation with us.
What You Get to Do
- Design, build, and maintain Gold-layer, analytics-ready datasets in Databricks for enterprise use.
- Engineer and optimize reusable data models for Power BI semantic models, analytics, and AI use cases.
- Standardize, govern, and scale the Power BI semantic layer to improve consistency, performance, security, and trust in enterprise metrics.
- Prepare governed datasets for advanced analytics and AI, including machine learning feature readiness and generative AI grounding.
- Translate business requirements into reusable data products that support multiple reporting, analytical, and AI needs.
- Support enterprise reporting and dashboard development while applying best practices for performance and usability.
- Advise business users and analysts on the effective use of curated datasets and semantic models.
- Continuously evaluate and apply modern data and analytics practices aligned with Databricks and Microsoft platforms.
We Are Boldt
- Our People: We create opportunities for growth, fulfillment, and reaching full potential.
- Our Customers: We exceed expectations through advocacy, problem-solving, and collaboration.
- Our Partners: We collaborate with trust and respect to drive innovation and shared success.
- Our Communities: We give back with our time, talents, and resources, elevating dignity and doing good.
Why You'll Love Working at Boldt
- Employee Owned: Your work fuels our success and your future.
- Purpose-Driven: ESG-focused work aligned with strong values.
- Better Together: Teamwork, trust, and shared accountability.
- Safety First: Everyone home safe every day.
- Career Growth: Real development through mentorship and hands-on learning.
- High-Impact Work: Data products and technology that support complex projects and meaningful business outcomes.
- Lead and Mentor: Learn today, lead tomorrow.
- Rich Culture: What started as a carpentry shop has grown into a multi-million-dollar company built on relationships and craftsmanship.
- High Performance: By people, strengthened through AI and technology that enhance collaboration, transparency, and results.
At Boldt, high performance starts with strong relationships. We believe the best work is delivered by teams that trust each other, communicate openly, and take ownership. Our culture blends accountability with support, where learning, mentorship, and collaboration drive results. You will not just contribute to work that matters. You will grow alongside people who are invested in your success.
What You Bring
Candidates whose experience or expertise substantially exceeds the requirements of the role are encouraged to apply, as we may have current or future roles that better align with their experience.
- Bachelor's degree in Information Technology, Data, Analytics, or a related field, or an equivalent combination of education, training, and experience.
- Three or more years of experience in analytics, business intelligence, or data engineering-related roles.
- Strong Power BI proficiency, including semantic modeling, DAX, and Power Query.
- Experience engineering analytics-ready datasets using Databricks or a similar modern data platform.
- Solid understanding of dimensional modeling, including Kimball methodology, and semantic layer design.
- Working knowledge of SQL and familiarity with ELT/ETL and data transformation patterns.
- Familiarity with data governance, metric standardization, and reusable data product design.
- Strong problem-solving skills, attention to detail, and the ability to translate business needs into technical solutions.
- Demonstrated ability to independently stay current with evolving data, analytics, and AI technologies.
Nice to Have
- Experience with Python for data transformation or analytics workflows.
- Exposure to preparing data for machine learning, generative AI, or other advanced analytics use cases.
- Experience supporting enterprise reporting, dashboard development, or Microsoft analytics platforms.
Compensation
Target Hiring Range: $35/hour
Boldt recognizes that experience, expertise, and specialized skills create value. The target hiring range for this position is $35.00/hour. Compensation is determined based on qualifications, experience, certifications, geographic market conditions, internal equity, and other job-related factors permitted by law. In addition to base compensation, employees may be eligible for a discretionary bonus and participation in applicable company benefit programs.
Unsolicited Correspondence
The Boldt Group and its subsidiaries engage recruiting agencies exclusively through our Enterprise Support Talent Acquisition team and only when a valid, Boldt-approved agreement is in place. Boldt does not accept unsolicited resumes or candidate submissions at any time, including from agencies with an active agreement, unless the submission is expressly requested by the Enterprise Support Talent Acquisition team. Any unsolicited submissions will be deemed the property of The Boldt Group, and no placement fees will be paid. All agency inquiries must be directed to the Enterprise Support Talent Acquisition team. At this time, we are not entertaining any new agency submissions or outreach.
EEOC
The Boldt Company is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.
More about this job
Skills
- Data analysis
- Data engineering
- Microsoft Power BI
- Databricks
- Reporting
- Data models
- Computer technology
- Business intelligence
- Power Query
- SQL
- Problem solving
- Attention to detail
- Python
- Machine learning