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Weekend Business Analytics Jobs in Michigan (NOW HIRING)

We are hiring for a Business Analytics Analyst in our Analytics Center of Excellence (ACoE) - the power hub of analytics for Blue Cross Blue Shield of Michigan. This is a great opportunity to make a ...

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Manager, Business Analytics Location: Dearborn Job Classification: Remote FLSA Status: Exempt Job ... Willing to work some weekends if necessary * This position has a Remote location: Associate will ...

Prolim is hiring for a Business Analyst for a leading client. Location: Lansing, MI Contract: Long term Position Summary We are seeking an experienced Senior IT Business Analyst with strong Quality ...

Prolim is hiring for a Business Analyst for a leading client. Location: Lansing, MI Contract: Long term Position Summary We are seeking an experienced Senior IT Business Analyst with strong Quality ...

As a Business Analyst, you will work closely with multiple stakeholders, Subject Matter Experts (SMEs), and development teams to document business requirements and business flow diagrams. You will be ...

As a Business Analyst, you will work closely with multiple stakeholders, Subject Matter Experts (SMEs), and development teams to document business requirements and business flow diagrams. You will be ...

As a Business Analyst, you will work closely with multiple stakeholders, Subject Matter Experts (SMEs), and development teams to document business requirements and business flow diagrams. You will be ...

Business Analyst Location : Lansing, MI Hybrid (Must be local) Duration : 12-month contract Description We are looking for an experienced Business Analyst 5 for a 12-month contract based in Lansing ...

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Weekend Business Analytics information

What is the difference between Weekend Business Analytics vs Weekend Data Analysis?

AspectWeekend Business AnalyticsWeekend Data Analysis
Required CredentialsBachelor's in Business, Analytics, or related field; often certifications in analytics toolsBachelor's in Data Science, Statistics, or related field; similar certifications in data tools
Work EnvironmentBusiness offices, consulting firms, or remote settings focusing on strategic insightsData-focused environments, labs, or remote work analyzing datasets
Employer & Industry UsageBusinesses, consulting firms, marketing agenciesTech companies, research firms, finance, and healthcare sectors

Weekend Business Analytics and Weekend Data Analysis share similar educational backgrounds and work environments. However, Business Analytics emphasizes strategic decision-making and business insights, while Data Analysis focuses more on technical data processing and statistical analysis. Both roles are in demand across various industries, often overlapping in skills and tools used.

What are the most commonly searched types of Business Analytics jobs in Michigan? The most popular types of Business Analytics jobs in Michigan are:
What cities in Michigan are hiring for Weekend Business Analytics jobs? Cities in Michigan with the most Weekend Business Analytics job openings:
Business Analytics Analyst

Business Analytics Analyst

Advantasure, Inc.

Detroit, MI • On-site

Full-time

Posted 2 days ago


Job description


We are hiring for a Business Analytics Analyst in our Analytics Center of Excellence (ACoE) - the power hub of analytics for Blue Cross Blue Shield of Michigan.
This is a great opportunity to make a unique but powerful impact using your exploratory analysis skills and expertise in statistical methods to determine what types of programs should be pursued, to solve problems and/or capitalize on new opportunities.
About the Role:
As a Business Analytics Analyst,you will help develop hypotheses and data analysis plans to determine the best approach for conducting descriptive analytics, create savings models, evaluate program outcomes, and size potential opportunities.
  • Translate business ideas into testable hypotheses with guidance.
  • Contribute to statistical analyses and data visualizations based on the broader analysis plan.
  • Explore and interpret data patterns to evaluate program and business hypotheses.
  • Query and manipulate both structured and unstructured data to support analysis.
  • Help distill analytical findings into actionable insights for business decision-making.
  • Use approved generative AI tools, when appropriate and in accordance with policy, to support coding, documentation, and summarization, while ensuring accuracy and quality.

Responsible for analyzing data to inform key strategic business decisions. Under general supervision, performs descriptive analyses, develops savings models, and evaluates program outcomes and size potential opportunities.
  • Support the translation of business ideas to working hypotheses.
  • With supervision, produce statistical analyses and visualizations from the broader analysis plan.
  • Identify and analyze data patterns to test business and program hypotheses.
  • Perform data querying and manipulation of structured and unstructured data sets.
  • Support the synthesis of analysis results into insights for business decisions.

QUALIFICATIONS
  • Bachelor's Degree in Statistics, Economics, Actuarial Science, Informatics, Epidemiology, Biostatics, Data Science, or other related field is required. Master's degree or PhD in related field is preferred.
  • A minimum of one (1) year of related work experience.
  • Previous experience programming (at least one language) is required.
  • Previous experience working in the healthcare industry is preferred.
  • Basic knowledge of how health care claims are billed and how the health system works.
  • Strong analytical, organizational, and problem-solving skills.
  • Basic knowledge about different evaluation study designs (i.e., case-control, cohort), methodologies for controlling for population differences in studies (i.e., regression analysis, propensity score matching), and programming (SQL, SAS, R or Python)
  • Basic knowledge of statistical testing techniques (i.e. ANOVA t-tests, chi-squared, etc.).
  • Intermediate skills in Microsoft Access, Word, PowerPoint and Excel.
  • Ability to effectively interface and present to management at all levels of the organization.
  • Ability to work independently and in a team environment.