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Weekend Power Bi Sql Jobs in Minnesota (NOW HIRING)

Credit Card Strategist

Minneapolis, MN · On-site

$85K - $98K/yr

Design, develop, and maintain executive dashboards and reporting solutions using tools such as Tableau, Power BI, SQL, and related business intelligence platforms. * Ensure data integrity ...

Design, build, and maintain Power BI semantic models, dashboards, and reports that support business ... Experience with SQL, dimensional modeling, and star schema design for analytics use cases.

BI Engineer

Saint Louis Park, MN · On-site

$94K - $120K/yr

Design, build, and maintain Power BI semantic models, dashboards, and reports that support business ... Experience with SQL, dimensional modeling, and star schema design for analytics use cases.

Credit Card Strategist

Minneapolis, MN · On-site

$85K - $98K/yr

Design, develop, and maintain executive dashboards and reporting solutions using tools such as Tableau, Power BI, SQL, and related business intelligence platforms. * Ensure data integrity ...

Senior Data Analyst

Chanhassen, MN · On-site

$87K - $110K/yr

Architect Power BI semantic models with governance, row-level security, and reusability as core design principles. * Maintain and support existing SSRS reports, Qlik Sense dashboards, and SQL Server ...

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

... powers Business Intelligence, AI, and advanced analytics across the enterprise ... This role bridges current-state SAP Data Services and SQL Server data warehousing with the future ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

... SQL Server * Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar)

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

... SQL Server * Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar)

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

... SQL Server * Four (4) years of experience in at least one of the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks (or similar)

Showing results 21-40

Weekend Power Bi Sql information

What is a Weekend Power BI SQL job?

Weekend Power BI SQL jobs are roles that typically require professionals to work on weekends, focusing on using Microsoft Power BI and SQL (Structured Query Language) to analyze, visualize, and manage data. These jobs may involve creating reports and dashboards, extracting and transforming data from various sources, and supporting business intelligence needs. They are ideal for individuals who prefer or are only available to work on weekends, often in industries that require continuous data monitoring or support outside of regular business hours.

What are the typical challenges faced by a Weekend Power BI SQL professional, and how can they be addressed?

Weekend Power BI SQL professionals often encounter tight deadlines and the need to resolve issues quickly, as their work is typically focused on providing actionable insights over a limited timeframe. They may also face challenges in accessing up-to-date data or collaborating with stakeholders who are unavailable during weekends. To succeed, it’s important to communicate proactively with the weekday team, document processes thoroughly, and leverage automated data refreshes in Power BI. Developing strong SQL skills and being comfortable with self-directed problem-solving are also key for managing weekend responsibilities efficiently.

What are the key skills and qualifications needed to thrive as a Weekend Power BI SQL specialist, and why are they important?

To thrive as a Weekend Power BI SQL Specialist, you need strong skills in data analysis, SQL querying, and business intelligence reporting, usually backed by relevant experience or certifications in BI tools. Familiarity with Microsoft Power BI, SQL Server Management Studio, and possibly other data visualization or ETL tools is typically required. Excellent problem-solving, attention to detail, and effective communication help you interpret data needs and deliver actionable insights. These skills are crucial for ensuring timely, accurate, and impactful data-driven decisions in a fast-paced, weekend-focused support environment.

What is the difference between Weekend Power Bi Sql vs Weekend Data Analyst?

AspectWeekend Power Bi SqlWeekend Data Analyst
Required SkillsPower BI, SQL, data visualizationData analysis, SQL, reporting
Work EnvironmentBusiness intelligence teams, data departmentsData-driven departments, analytics teams
CertificationsPower BI certifications, SQL certificationsData analysis certifications, SQL certifications

Weekend Power Bi Sql focuses on creating dashboards and reports using Power BI and SQL, often within BI teams. Weekend Data Analyst involves broader data analysis tasks, including interpreting data and generating insights. Both roles require SQL skills and may share certifications, but Power Bi Sql emphasizes visualization tools, while Data Analysts focus on comprehensive data interpretation.

What are the most commonly searched types of Power Bi Sql jobs in Minnesota?

The most popular types of Power Bi Sql jobs in Minnesota are:

Infographic showing various Weekend Power Bi Sql job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Data Analyst - AI, Operations & Supply Chain

Bio-Techne

Minneapolis, MN • On-site

$81K - $101K/yr

Full-time

Re-posted 9 days ago


Bio-Techne rating

8.4

Company rating: 8.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Bio-Techne is a company dedicated to enabling cutting-edge research in Life Sciences and Clinical Diagnostics. The Senior Data Analyst – Operations & Supply Chain will drive supply chain agility and operational excellence through data analysis, developing scalable analytics tools and providing actionable insights to influence decision-making across various teams.
Responsibilities:
• Develop Advanced Analytics Solutions: Build and maintain dashboards and tools using Power BI, SQL, and Excel to deliver end-to-end visibility across supply chain KPIs including inventory turns, forecast accuracy, OTD, and production throughput.
• Supply Chain & Manufacturing Analysis: Analyze complex datasets from ERP/MRP systems, demand plans, and production schedules to uncover inefficiencies, delays, and root causes. Drive continuous improvement in areas such as order flow, raw material availability, safety stock, and build plans.
• Inventory Planning & Forecasting: Support demand and supply planning by building models that improve inventory health, predict shortages or overages, and align stock levels with customer demand and production constraints.
• MRP System Integration: Partner with planning and operations teams to ensure data models and recommendations align with MRP logic and master data structures. Help shape BOM, lead time, and lot size assumptions to improve planning accuracy.
• Strategic Insights & Decision Support: Translate data into strategic recommendations for operations and supply chain leaders. Focus on balancing service levels, working capital, and operational cost through better planning and scenario modeling.
• Automation & Scalability: Design and implement automated pipelines, workflows, and reporting processes that reduce manual work, increase visibility, and enable proactive response to supply/demand variability.
• Stakeholder Engagement: Act as a thought partner to manufacturing, logistics, and finance stakeholders. Communicate findings clearly and tailor insights to operational, technical, and executive audiences.
• Mentorship & Collaboration: Provide guidance to junior analysts and support a culture of data fluency across the supply chain team.
• Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals.
Qualifications:
Required:
• Bachelor’s degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field
• 6–8 years of experience in data analytics with a strong focus on supply chain, operations, or manufacturing
• Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting
• Proven experience with inventory planning, demand forecasting, MRP, ERP systems
• Experience with predictive modeling, regression analysis, and correlation techniques
• Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership
• Proven track record of developing scalable, long-term analytical solutions
• Strong project management skills with the ability to lead and execute initiatives
• Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity
• Strong understanding of financial and operational metrics and how they influence business performance
• Clear and confident communication skills, including stakeholder-facing presentations
Preferred:
• Experience working with Salesforce, Smartsheet, or other business intelligence tools is a plus
• Experience building dashboards and tools that drive operational execution and planning decisions
• Experience in a warehouse, manufacturing or production environment
• Familiarity with production scheduling, capacity planning, and BOM structures
• Statistical or ML modeling experience for forecast or simulation
• Knowledge of Lean, Six Sigma, or process improvement methodologies
• Experience working with cross-functional data (e.g., sales, finance, operations) to enable full-picture decision-making
Company:
Bio-Techne develops and supplies life science products, research tools, analytical instruments, and diagnostic solutions. Founded in 1981, the company is headquartered in Minneapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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