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Afternoon Data Analyst R Programming Jobs in Minnesota

Data Analyst - Finance

Minneapolis, MN · On-site

$72K - $109K/yr

Mortenson is currently seeking a Data Analyst - Finance who will be responsible for supporting ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all ...

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89K - $113K/yr

Collaborating with Data Engineers on the data exports required from data pipelines * Analyzing data and combining datasets to develop reporting products/solutions Team: * We are a team of 9 Data ...

IT Data Analyst II

Burnsville, MN · On-site

$65K - $98K/yr

Apothecary Products, LLC (APL) is seeking a talented IT Data Analyst 2 to join our team in ... We also have an award-winning work culture grounded by our W E C A R E corporate values system.

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Data Science Tutor

Minneapolis, MN · 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

Saint Paul, MN · 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 ...

Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools * Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or ...

Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools * Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or ...

Data Science Tutor

Edina, MN · 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 ...

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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 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 the most commonly searched types of Data Analyst R Programming jobs in Minnesota? The most popular types of Data Analyst R Programming jobs in Minnesota are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Minnesota? For Afternoon Data Analyst R Programming jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Minnesota look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Minnesota are:
What cities in Minnesota are hiring for Afternoon Data Analyst R Programming jobs? Cities in Minnesota with the most Afternoon Data Analyst R Programming job openings:
Data Analyst - Finance

Data Analyst - Finance

Mortenson

Minneapolis, MN • On-site

$72K - $109K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Mortenson rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Mortenson is currently seeking a Data Analyst - Finance who will be responsible for supporting Finance reporting and analytics by building and maintaining Power BI reporting solutions and data processes that enable timely, accurate, business-ready insights. This role partners with Finance stakeholders and data teams to translate questions into well-defined metrics, reliable datasets, and intuitive dashboards. Work is primarily within Power BI, SQL, and the Power Platform, with exposure to finance and construction/project systems (e.g., Oracle Fusion, FDI) as applicable.

VISA SPONSORSHIP IS NOT AVAILABLE FOR THIS POSITION

RESPONSIBILITIES:

  • Ability to work and facilitate conversation in a cross-functional, collaborative, team-based environment

  • Report Development & Data Visualization

    • Design, build and enhance Power BI reports and dashboards that enable decision-making for Finance leaders and teams
    • Support in-app Operational Report development (Oracle Fusion, OTBI, FDI), as needed 
    • Translate requirements into effective visuals, tooltips, drill paths, and narrative elements that communicate key drivers and exceptions
    • Apply visualization and support performance improvements
    • Maintain reports through updates, validation, and user feedback
  • SQL & Data Preparation 

    • Write and maintain SQL queries to support reporting and analytics
    • Perform data validation and reconciliation to ensure accuracy
    • Partner with stakeholders to understand data sources and definitions
  • Platform Management & Optimization 

    • Support existing datasets and reporting models
    • Develop DAX measures and transformations
    • Ensure alignment with Finance definitions and standards

    • Collaborate on Data Governance Initiatives and End User trainings 

  • Collaboration & Support

    • Work with teams to gather requirements and deliver reporting solutions

    • Provide user support and documentation 

    • Assist with ongoing analytics requests 

  • Advanced knowledge of Microsoft Toolset, Finance Report Toolsets, best practices and general Data Operations best practices 

  • Identify and implement strategic initiatives.

  • All other duties as assigned

QUALIFICATIONS:

  • Bachelor's degree in Finance, Accounting, Mathematics, Data/Analytics, or related field
  • 3 years of experience in analytics, finance, or reporting
  • Strong working knowledge of Power BI
  • Working knowledge of SQL
  • Familiarity with Power Query and basic DAX
  • Familiarity of other Operating Systems Reporting Tools (Oracle, Procore, UKG, etc) 
  • Strong attention to detail and communication skills
  • (Nice to have) Experience with Power Platform tools (Power Automate, Power Apps)
  • (Nice to have) Exposure to Oracle, Procore, or similar systems
  • (Nice to have) Construction industry experience

A few benefits offered include: 

(for Non-Craft & Non-Union Craft working 25+ hours / week)

  • Medical and prescription drug plans that includes no additional cost vision coverage 
  • Dental plan 
  • 401k retirement plan with a generous Mortenson match
  • Paid time off, holidays, and other paid leaves 
  • Employer paid Life, AD&D, and disability insurance 
  • No-Cost mental health tool and concierge with extensive work-life resources
  • Tuition reimbursement 
  • Adoption Assistance  
  • Gym Membership Discount Program  

The base pay range for this role is $72,900 - $109,400. (Actual range is higher for the following office locations: Denver, CO and Chicago, IL - 5%, Seattle, WA, and Portland, OR - 10%, Washington, D.C. - 12.5%).

Base pay is positioned within the range based on several factors including an individual's knowledge, skills, and experience, with consideration given to internal equity.  This position is eligible for Mortenson's incentive plan.

#LI-BS1

Please make note: 

  • Visa sponsorship is not offered for this position.
  • Our postings are typically open a minimum of 5 days and an average of 44 days. 

ABOUT MORTENSON

As a top builder, developer, and EPC (Engineering, Procurement, and Construction), our expertise spans markets like sports, renewable energy, data centers, healthcare, and more. We are builders at heart, working to ensure the built environment has a lasting positive impact. 

Let's Redefine Possible 

Equal Employment Opportunity

Your uniqueness brings new and creative perspectives to the team. Mortenson is committed to providing equal opportunities of employment (EOE) to all individuals, regardless of your race, religion, gender, national origin, age, veteran status, disability, marital status or any other legally protected category.

Other Items to Note

  • Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. No agency emails, calls, or solicitations are accepted without a valid agreement.
  • Must be currently legally authorized to work in the U.S. without sponsorship for employment visa status (e.g., H1B status, 0-1, TN, CPT, OPT, etc.). We are unable to sponsor or take over sponsorship of an employment Visa at this time.

What Mortenson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


M. A. Mortenson logo

About M. A. Mortenson

Sourced by ZipRecruiter

M. A. Mortenson is a prominent name in the construction industry, based out of Minneapolis, MN, US. Established in 1954 by M.A. Mortenson Sr., the company has over six decades of experience offering construction services that have contributed to building lasting infrastructures across various sectors, including healthcare, energy, corporate, and sports. Mortenson has proven its exceptional expertise through a range of complex building and facility projects across the US fulfilling the customer's specifications and exceeding their expectations. Moreover, the company's core values are outlined as ‘Do the Right Thing’, ‘We Before I’, ‘Inspire What’s Possible’, and ‘In it for the long haul’.

Industry

Manufacturing and construction

Company size

1,001 - 5,000 Employees

Headquarters location

Minneapolis, MN, US

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