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Data Analyst Ai Jobs in Jacksonport, WI (NOW HIRING)

Moments Hospice

RN Case Manager

Marinette, WI · On-site

$75K - $90K/yr

... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ... If you would like more information about how your data is processed, please contact us.

Moments Hospice

RN Case Manager

Sturgeon Bay, WI · On-site

$75K - $90K/yr

... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ... If you would like more information about how your data is processed, please contact us.

All JobsData Analyst Ai JobsData Analyst Ai Jobs in Jacksonport, WI

Data Analyst Ai information

See Jacksonport, WI salary details

$33.1K

$80.4K

$132.3K

How much do data analyst ai jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analyst ai in Jacksonport, WI is $80,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

What does a data analyst do in AI?

A data analyst in AI collects, cleans, and analyzes large datasets to identify patterns and insights that improve machine learning models and AI systems. They often use tools like Python, R, or SQL and work closely with data scientists to support model development and validation.

Do data analysts work with AI?

Data analysts often work with AI by analyzing data used to train machine learning models, developing insights, and creating reports that support AI projects. They may also use tools like Python, R, or SQL to process large datasets and collaborate with data scientists and AI engineers. Understanding AI concepts can enhance their ability to interpret and leverage AI-driven insights.

What cities near Jacksonport, WI are hiring for Data Analyst Ai jobs?

Cities near Jacksonport, WI with the most Data Analyst Ai job openings:

Data Analyst Ai jobs near you

ICOE Data & AI Solution Architect with Fabric (Manager / Senior Manager)

Accenture

Brussels, WI

Full-time

Re-posted 7 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

46th of 491 rated business services

Job description

Our talented Integrated Center of Excellence Data & AI team is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients transform their business with the latest data, analytics, and AI technologies, let's talk.

Role Summary

As an Intelligent Data Platform (IDP) Solution Architect within the Integrated Center of Excellence Data & AI Practice, you will play a senior leadership role in shaping, selling, and delivering enterprise-scale analytics platforms built on Microsoft Fabric. This role spans Manager and Senior Manager levels, combining deep technical leadership, client advisory, pre-sales, and delivery assurance responsibilities.

Using Microsoft Fabric (OneLake, Data Factory, Spark, Warehousing, Real-Time Analytics, and Power BI), Azure services, Databricks, and applied AI, you will help clients modernise analytics estates, unlock insights, and deliver measurable business outcomes. You will also actively contribute to Avanade's Fabric-led data platform strategy, offerings, accelerators, and global go-to-market initiatives.

Key Responsibilities

  • Lead and support high-impact pre-sales pursuits, solution planning, and solution design for Microsoft Fabric-centric opportunities.

  • Shape deals and propositions including architecture, estimates, commercial inputs, roadmaps, and delivery approaches.

  • Act as a trusted advisor to senior client stakeholders, translating complex technical capabilities into clear business value.

  • Provide technical and delivery assurance, intervening in complex or high-risk engagements when required.

  • Define and promote best practices for Microsoft Fabric architecture, governance, security, performance, and cost optimisation.

  • Establish reference architectures, accelerators, reusable patterns, and intellectual property across Fabric workloads.

  • Drive Microsoft partnership engagement, influencing roadmap alignment and joint go-to-market activities.

  • Contribute thought leadership, points of view, and engineering assets to strengthen Avanade's market differentiation.

  • Coach, mentor, and inspire architects and technical leaders across regions, building strong communities of practice.

  • Stay current with emerging Data & AI platform capabilities and integrate innovations into client solutions.

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  • Management Consulting or Systems Integrator experience strongly preferred.

  • Proven experience architecting and delivering enterprise analytics solutions using Microsoft Fabric.

  • Strong understanding of data governance, security, lineage, and metadata management (e.g., Microsoft Purview).

  • Hands-on experience with data pipelines, ETL/ELT, data modelling, analytics architectures, and real-time analytics.

  • Experience with performance tuning, capacity management, and cost optimisation in Fabric environments.

  • Familiarity with Databricks, open data formats (Delta Lake, Parquet), and data mesh principles.

  • Strong stakeholder management, communication, and executive presentation skills.

  • Demonstrated ability to develop reusable frameworks, reference architectures, and accelerators.

  • Experience leading, mentoring, and influencing senior technical and community teams.

  • Proven success building and maintaining strategic partnerships with Microsoft.

About You

  • Passionate about technology and advising clients at a strategic level.

  • Comfortable operating across technical, commercial, and delivery leadership responsibilities.

  • Experienced working with large, complex enterprise clients and globally distributed teams.

  • Able to orchestrate and influence virtual teams to deliver successful outcomes.

  • Background in consultative technical sales, solution architecture, and enterprise delivery.

Enjoy Your Career at Avanade

  • Opportunity to work for Microsoft's Global Alliance Partner of the Year.

  • Minimum 80 hours per year of training and paid certifications.

  • Real-time access to global technical specialists and delivery teams.

  • Dedicated career advisor supporting your professional growth.

  • Collaborative, inclusive culture with engaged and supportive colleagues.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

California

$150,000 - 190,000

Cleveland

$140,000 - 150,000

Colorado

$140,000 - 150,000

District of Columbia

$150,000 - 190,000

Illinois

$150,000 - 190,000

Maryland

$150,000 - 190,000

Massachusetts

$150,000 - 190,000

Minnesota

$150,000 - 190,000

New York / New Jersey

$150,000 - 190,000

Washington

$150,000 - 190,000

For Canada :

British Columbia/Ontario$140,000 - 170,000

.

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