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Afternoon Data Analyst R Programming Jobs in Milwaukee, WI

... programming and querying expertise. * Remains trained and compliant with CHW data governance ... Analyze and interpret data with leaders, content experts, and clinical staff as appropriate

... programming and querying expertise. * Remains trained and compliant with CHW data governance ... Analyze and interpret data with leaders, content experts, and clinical staff as appropriate

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

Manages and maintains configuration data required for core claims processing system settings ... Works with IT systems analysts and developers in order to help solve system defects, providing ...

Manages and maintains configuration data required for core claims processing system settings ... Works with IT systems analysts and developers in order to help solve system defects, providing ...

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Afternoon Data Analyst R Programming information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

How much do afternoon data analyst r programming jobs pay per year?

As of Jul 17, 2026, the average yearly pay for afternoon data analyst r programming in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Milwaukee, WI? For Afternoon Data Analyst R Programming jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Milwaukee, WI look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Afternoon Data Analyst R Programming jobs? Cities near Milwaukee, WI with the most Afternoon Data Analyst R Programming job openings:
Data & Reporting Business Analyst

Data & Reporting Business Analyst

Sun Life Financial

Milwaukee, WI • Hybrid

$60K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

82nd of 281 rated insurance


Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Our team members and leaders are expected to foster connection and teamwork by being present in the office at least 2 days per week.

The Opportunity:

The Data & Reporting Analyst is responsible for developing maintaining and optimizing reporting solutions that provide actionable insights to business leaders in the Stop Loss Claims team. This role supports data driven decision making across operations by identifying anomalies, automating manual processes, and enabling business leaders with evidence-based insights to optimize operations and reduce costs. The Analyst partners closely with Stop Loss business stakeholders to translate data into insights, automate reporting processes and improve overall efficiency through analytics and visualization tools.

How you will contribute:

  • Data Analysis & Insights

    • Develops and deploys SQL-based reporting and statistical models using Power Query, VBA, Excel and Python

    • Analyze large datasets to identify trends, anomalies, and opportunities for operational improvement

    • Support business decision-making through ad hoc analyses and structured reporting

    • Translate complex data into clear, actionable insights for leadership

  • Reporting & Dashboard Development

    • Partners with the COE Reporting team to enhance and improve Stop Loss Claims dashboard

    • Ensures data accuracy, dashboard uptime, and data freshness across all reporting systems

    • Completes timely reporting and analysis requests with rigorous data quality validation

    • Documents methodologies and maintains comprehensive records of reporting processes

  • Data Management & Quality

    • Validate, cleanse, and maintain data integrity across multiple sources

    • Support data governanace and ensure adherence to data standards and definitions

    • Partner with IT and data teams to resolve data issues and improve data pipelines

  • Process Improvement & Automation

    • Identify opportunities to automate manual reporting processes and streamline workflows

    • Implement data solutions that improve efficiency and reduce redundancy

    • Support continuous improvement initiatives through analytics and performance tracking

    • Performs root cause analysis to identify systemic inefficiencies and operational bottlenecks

  • Stakeholder Collaboration

    • Work closely with business leaders to define reporting needs and requirements

    • Provide ongoing support for reporting tools and troubleshoot user issues

    • Present findings and recommendations to leadership in a clear and concise manner

    • Engages with leadership, IT teams, and business teams to facilitate data interpretation, present evidence-based recommendations, and resolve technical and operational constraints

    • Escalates significant data and reporting inaccuracies, anomalies, and strategic requests requiring new data sources or system integration to management

What you will bring with you:

  • Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, Actuarial Science, or Business Analytics) OR equivalent professional experience demonstrating competency in data analysis and analytics

  • 2-3 years of experience in data analysis, business intelligence, or analytics

  • Demonstrated proficiency with SQL including query optimization, complex joins, and performance tuning

  • Proficiency with at least one programming language (Python, R, or similar)

  • Experience building dashboards or reports using visualization tools (Tableau, Excel)

  • Familiarity with statistical analysis and forecasting concepts

  • Advanced Excel skills including complex formulas, pivot tables, and data manipulation

  • Expertise in data visualization and self-service dashboard development

  • Knowledge of statistical foundations including forecasting methodologies, regression, and time-series analysis

  • Preferred: Insurance and claims operations business acumen

  • Understanding of inventory management and demand planning principles

  • Ability to translate technical findings for non-technical stakeholders

  • Strong analytical thinking and problem-solving capabilities

  • Attention to detail and commitment to data accuracy

  • Effective communication and stakeholder collaboration skills

Salary:

Salary Range: $60,400 - $90,600
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Business Analysis - Process

Posting End Date:

30/07/2026

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