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Remote Data Soft Logic Jobs in Michigan (NOW HIRING)

Data Analyst

Grand Rapids, MI ยท Remote

$90K - $110K/yr

Location: 100% Remote Position Summary: We are seeking a detail-oriented and technically skilled ... Create and maintain documentation for reporting processes, dashboard logic, data definitions, and ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... on logic used in new tools, approaches to market changes, responding to legislative changes ...

Systems Integration Developer

Ann Arbor, MI ยท On-site +1

$150K - $180K/yr

Familiarity with Azure services including Logic Apps, Azure AD, Data Factory, SQL, App Services ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Conducts actuarially sound statistical analysis by selecting appropriate data sources and making ... Possesses pattern-recognition skill and logic-based thinking * Have a solid understanding of the ...

Analytics Manager

Traverse City, MI ยท On-site +1

$100K - $125K/yr

Remote Role Summary The Analytics Manager is responsible for leading analytics, reporting, and data ... Identify reporting gaps, data issues, broken logic, latency risks, and process breakdowns, then ...

Prepare Automation/Control Equipment Specifications, Data Sheets, Purchase Requisitions and Bid ... Logic and entering Descriptions * Assist in debug, as-builts and field installation #LI-Remote ...

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Remote Data Soft Logic information

What is the difference between Remote Data Soft Logic vs Data Analyst?

AspectRemote Data Soft LogicData Analyst
Required CredentialsTypically requires a background in computer science, data management, or related certificationsRequires a degree in statistics, mathematics, or related fields; often certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily remote, involving data management, software tools, and programmingUsually office-based or remote, focusing on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, and data-driven companies for software and data system managementCommon in finance, marketing, healthcare, and consulting for data analysis and decision support

Remote Data Soft Logic focuses on managing and implementing data software systems remotely, often requiring technical skills and programming. Data Analysts interpret data to generate insights, typically working with statistical tools. While both roles involve data, Remote Data Soft Logic emphasizes software and system setup, whereas Data Analysts focus on data interpretation and reporting.

Are there actually remote data soft logic jobs?

Remote Data Soft Logic jobs are available in the industry, often involving roles such as data analysis, software development, or data management that can be performed remotely. These positions typically require skills in programming, data tools, and communication, and are offered by companies embracing flexible work arrangements.

What cities in Michigan are hiring for Remote Data Soft Logic jobs?

Cities in Michigan with the most Remote Data Soft Logic job openings:

Infographic showing various Remote Data Soft Logic job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

Grand Rapids, MI โ€ข Remote

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Position: Data Analyst
Job Type: Permanent
Salary: $90,000-$110,000
Benefits: Healthcare Insurance, paid parental/maternity leave, unlimited PTO, 401k w/match, and employee wellness programs.
Location: 100% Remote
Position Summary: We are seeking a detail-oriented and technically skilled Data Analyst to support business intelligence, reporting, and data-driven decision-making across the organization. This role will be responsible for designing and maintaining dashboards, analyzing business performance, managing data integrations, and delivering actionable insights to stakeholders. The ideal candidate possesses strong experience with Power BI, SQL, Salesforce, and Microsoft technologies, along with the ability to translate complex data into meaningful business recommendations. This position requires a highly analytical professional who can partner with cross-functional teams to improve reporting capabilities, drive operational efficiencies, and support strategic initiatives.
Key Responsibilities of the Data Analyst:
  • Develop, maintain, and enhance Power BI dashboards, reports, and visualizations that provide actionable insights across business functions.
  • Write, optimize, and maintain SQL queries, stored procedures, and data models to support reporting and analytics requirements.
  • Analyze large datasets to identify trends, patterns, risks, and opportunities that support business decision-making.
  • Partner with stakeholders to gather reporting requirements and translate business needs into scalable analytics solutions.
  • Manage and support Salesforce reporting, dashboards, data integrity initiatives, and business analytics.
  • Integrate and consolidate data from Salesforce, Microsoft applications, ERP systems, and other business platforms.
  • Ensure data accuracy, consistency, and quality across reporting environments and business systems.
  • Create and maintain documentation for reporting processes, dashboard logic, data definitions, and analytics standards.
  • Monitor reporting performance and recommend improvements to data architecture, processes, and visualization strategies.
  • Support data governance initiatives, reporting best practices, and compliance requirements.
  • Collaborate with IT, Finance, Sales, Operations, and executive leadership to deliver meaningful business insights.
  • Perform ad hoc analysis and develop executive-level reports that support strategic planning and operational objectives.
  • Assist in the design and implementation of data warehouse, ETL, and business intelligence solutions.
  • Identify opportunities to automate reporting processes and improve data accessibility.
  • Present findings, recommendations, and key performance indicators to both technical and non-technical audiences.
  • Stay current on emerging trends and best practices related to Power BI, Salesforce analytics, SQL development, and business intelligence.
Required Qualifications of the Data Analyst:
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Analytics, Statistics, or a related discipline, or an equivalent combination of education and experience.
  • Minimum three years of experience in data analytics, business intelligence, reporting, or a related field.
  • Advanced experience developing dashboards and reports using Microsoft Power BI.
  • Strong hands-on experience writing complex SQL queries and working with relational databases.
  • Required experience utilizing Salesforce reporting, dashboards, data management, and analytics capabilities.
  • Experience gathering business requirements and translating them into reporting and analytical solutions.
  • Demonstrated ability to analyze large datasets, identify trends, and communicate actionable recommendations.
Preferred Qualifications of the Data Analyst:
  • Experience working within Microsoft technology environments, including Power BI, Excel, Azure, Microsoft Fabric, Power Platform, and Microsoft 365.
  • Knowledge of data modeling, ETL development, data warehousing concepts, and business intelligence best practices.
  • Experience integrating and analyzing data from Salesforce, ERP platforms, CRM systems, and third-party applications.
  • Strong understanding of KPI development, performance metrics, forecasting, and business reporting.
  • Experience with DAX, Power Query, and advanced Power BI development techniques.
  • Excellent analytical, problem-solving, organizational, and critical-thinking skills.
  • Strong communication skills with the ability to present technical findings to non-technical stakeholders and executive leadership.
  • Ability to manage multiple priorities, work independently in a remote environment, and collaborate effectively across departments.
  • Experience supporting private equity

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