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Afternoon Data Analyst R Programming Jobs in Michigan

QLIK Programmer / Quality Data Analyst Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of ...

Data Science Tutor

Kalamazoo, MI ยท 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 ...

Data Science Tutor

Detroit, MI ยท 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 ...

Data Science Tutor

Ann Arbor, MI ยท 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 ...

Showing results 41-60

Afternoon Data Analyst R Programming information

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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 most commonly searched types of Data Analyst R Programming jobs in Michigan?

The most popular types of Data Analyst R Programming jobs in Michigan are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Michigan look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Michigan are:

What cities in Michigan are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Michigan with the most Afternoon Data Analyst R Programming job openings:

Senior Data Analyst, Financial Analytics

Rock Connections

Detroit, MI โ€ข On-site

$84K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

As a Senior Data Analyst embedded within the Finance organization, you will serve as a primary analytical resource for executive leadership. You will translate complex financial and operational data into clear, decision-grade analysis that drives how the organization understands its revenue trajectory, manages intra-quarter performance, and sets expectations with its most senior stakeholders. This role sits at the intersection of finance & analytics, requiring both the strategic judgment to influence high-stakes decisions and the technical depth to build the infrastructure that makes rigorous analysis possible.

About the role

  • Support forecasting of Rocket's mortgage production & revenue across all channels, contributing analytical work across long-range forecasts, quarterly outlooks, and regular updates that reflect the latest business trends and macroeconomic conditions; this work reaches the most senior levels of the organization and is central to how the business sets and communicates expectations

  • Own intra-quarter pacing analysis, monitoring revenue, and EPS performance relative to targets throughout the quarter, identifying risks and opportunities early, and providing actionable insight to finance leadership on how to close gaps or capitalize on upside

  • Identify and execute opportunities to automate existing financial reporting processes, reducing manual effort and improving consistency and reliability of recurring deliverables

  • Build and maintain enterprise-level P&L models, including active development of a loan-level P&L integrated with Snowflake

  • Develop and maintain production goal-setting models for sales, translating financial targets into associated operational goals

  • Support quarterly earnings preparation by providing data, trend analysis, and analytical context to the Investor Relations (IR) team; partner with IR and finance leadership to help shape the narrative for prepared remarks based on observed business performance

  • Contribute to the buildout of finance data infrastructure on Snowflake, including integration of AI-assisted workflows to streamline financial analysis and reporting

  • Partner with engineering to integrate finance source systems into Snowflake and establish a scalable, finance-owned data foundation

  • Create and maintain reporting tools, dashboards, and automated data pipelines in Power BI, SQL, and Excel that serve both recurring reporting needs and ad hoc analytical requests

  • Proactively surface trends, anomalies, and business opportunities through data analysis, and bring findings to finance and executive leadership with clear recommendations

  • Define, validate, and document data requirements and quality standards for finance data sources

  • Serve as a technical resource and mentor within the Finance analytics team

About you

Minimum Qualifications

  • Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field

  • 4+ years of experience in data analysis, financial analysis, or a closely related discipline, with demonstrated impact on business decisions

  • Advanced SQL proficiency; experience building and maintaining complex queries against enterprise data warehouses

  • Strong working knowledge of Power BI or comparable BI platforms, with experience developing production-grade dashboards and reports

  • Advanced Excel skills, including financial modeling, scenario analysis, and large dataset handling

  • Experience with Python, R, or comparable scripting tools for data manipulation and analysis

  • Demonstrated ability to communicate analytical findings clearly to senior, non-technical stakeholders - including written narrative, verbal presentation, and data visualization

  • Experience producing forecasts or performance analysis consumed by C-suite or senior executive audiences

  • Experience in financial reporting, revenue analysis, forecasting, P&L construction, or a comparably rigorous quantitative discipline

  • Strong judgment in balancing speed and accuracy when operating under reporting deadlines


Preferred Qualifications

  • Experience working with or transitioning data to cloud platforms such as Snowflake, Azure, or similar

  • Familiarity with mortgage banking, consumer lending, or financial services data and business models

  • Experience designing or contributing to data warehouse schemas for finance or accounting use cases

  • Exposure to capital markets, fixed income, or loan-level financial analysis

  • Experience with AI-assisted tooling or workflow automation in an analytical or finance context

  • Experience supporting earnings preparation or working alongside an Investor Relations function

  • Experience mentoring analysts or contributing to team standards and documentation

What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

About us

Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $80,000.00-$183,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.