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Afternoon Data Analyst R Programming Jobs in Norwalk, CT

Data Analyst II

Queens, NY · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and ... R, Power BI, or Tableau) Primary Location... 221 River St, Hoboken, NJ 07030, United States of ...

Data Analyst II

East Meadow, NY · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and ... R, Power BI, or Tableau) Primary Location... 221 River St, Hoboken, NJ 07030, United States of ...

Data Analyst II

Yonkers, NY · On-site

$84K - $156K/yr

... engineers as required to build front end applications Present to and influence the team and ... R, Power BI, or Tableau) Primary Location... 221 River St, Hoboken, NJ 07030, United States of ...

Extract, clean and engineer data for readiness and accuracy * Interpret information, develop ... Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... Partner with operations, product, and engineering teams to solve data-driven problems * Define and ...

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT ... Ability to facilitate sessions and one-on-one meetings with developers and managers, meet deadlines ...

Data Analyst

New York, NY · On-site +1

$97K/yr

Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software * Analyzing trends and changes in areas related to ...

Extract, clean and engineer data for readiness and accuracy * Interpret information, develop ... Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ...

Senior Data Analyst

New York, NY · On-site

$94K - $118K/yr

Partner with Engineering to improve data pipelines and resolve discrepancies. * Contribute to ... R, or similar for statistical modeling and advanced analysis. * Strong understanding of SaaS ...

Data Analyst

New York, NY · On-site

$55 - $60/hr

Work closely with data engineering teams, integration teams, and business stakeholders ... Strong analytical and problem-solving skills. * Ability to communicate effectively with both ...

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a senior Data Analyst (DA III), you will own ...

It provides strategic business consulting, technology,engineering and outsourcing services to help ... Data Analyst Location: Milford, CT Duration: Fulltime/Permanent .Excellent customer facing skills ...

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Data Analyst

New York, NY · On-site

$40 - $50/hr

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Math, Physics, Engineering, or related quantitative field * Experience in SQL and Excel are ...

New

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus Powered by JazzHR Z8TdorkT0r

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus

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Afternoon Data Analyst R Programming information

See Norwalk, CT salary details

$34.1K

$83K

$136.5K

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 Norwalk, CT is $82,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $97,400.00 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 Norwalk, CT? For Afternoon Data Analyst R Programming jobs in Norwalk, CT, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Norwalk, CT look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Norwalk, CT are:
Data Analyst II

Data Analyst II

Walmart

Queens, NY • On-site

$84K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,105 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

Position Summary... What you'll do...Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices Directly relevant business metrics and business areas To Support the development of business cases and recommendations Drive delivery of project activity and tasks assigned by others Support process updates and changes Support under guidance in solving business issues
Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To Understand the appropriate data set required to develop simple models by developing initial drafts Support the identification of the most suitable source for data Maintains awareness of data quality
Tech Problem Formulation Requires knowledge of Analytics big data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To Identify possible options to address the business problems within ones discipline through relevant analytical methodologies Demonstrate understanding of use cases and desired outcomes
Data Visualization Requires knowledge of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced visualization techniques tools Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence To Generate appropriate graphical representations of data and model outcomes Understand customer requirements to design appropriate data representation for multiple data sets Work with User Experience designers and User Interface engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding Customize communication style based on stakeholder under guidance and leverage rational arguments Guide and mentor junior associates on story types structures and techniques based on context
Data Quality Management Requires knowledge of Data quality management techniques and standards Business metadata definitions and content data definitions Data profiling tools data cleansing tools data integration tools and issues and event management tools Understanding of users data consumption data needs and business implications Data modeling storage integration and warehousing Data quality framework and metrics User access best practices Enterprise data architecture modeling and design storage integration and warehousing Enterprise data quality framework and metrics Enterprise data strategy Enterprise data quality strategy Enterprise strategy to address regulatory and ethical requirements and policies around data privacy security storage retention and documentation To Promote data quality awareness Profile analyze and assess data quality Test and validate data quality requirements under supervision of others Execute operational Data Quality Management procedures under supervision of others Conduct data cleansing activities to remove data quality defects improve data quality and eliminate unused data under supervision of others Grant user access to data Learn company and regulatory policies on data Learn data governance processes practices policies and guidelines
Exploratory Data Analysis Requires knowledge of relevant Knowledge Discovery in Data KDD tools applications or scripting languages such as SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median variance standard deviation correlation and sorting and grouping Research analysis standards and activities Documentation procedures such as drafting editing Bibliography format Relevant Knowledge Discovery in Data KDD tools applications or scripting languages such as SQL DB SAS Oracle Apache Mahout MS Excel Python KDD industry best practices and emerging trends To Support identification and application of statistical techniques based on requirements Apply suitable technique under direction from leadership Support data collection and evaluation Explore data using simple tools Execute existing statistical models and explain how they relate to a clients situation Analyze data and computes descriptive statistics that identify trends outliers and correlations
Demonstrates uptodate expertise and applies this to the development execution and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices supporting and aligning efforts to meet customer and business needs and building commitment for perspectives and rationales
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders identifying business needs determining and carrying out necessary processes and practices monitoring progress and results recognizing and capitalizing on improvement opportunities and adapting to competing demands organizational changes and new responsibilities
Models compliance with company policies and procedures and supports company mission values and standards of ethics and integrity by incorporating these into the development and implementation of business plans using the Open Door Policy and demonstrating and assisting others with how to apply these in executing business processes and practices
Respect the Individual: Demonstrates and encourages respect for others drives a positive associate and customermember experience for all embraces differences in people cultures ideas and experiences supports workplaces where associated feel seen and connected through a culture of belonging so all associates thrive and perform contributes to an environment allowing everyone to bring their best selves to work
Respect the Individual: Demonstrates engagement and commitment to the team developing others through feedback coaching mentoring and developmental opportunities and recognizes others contributions and accomplishments
Respect the Individual: Builds strong and trusting relationships with team members and business partners works collaboratively to achieve objectives communicates with impact and listens attentively to a range of audiences and demonstrates energy and positivity for own work
Act with Integrity: Maintains and promotes the highest standards of integrity ethics and compliance models the Walmart values and leads by example to foster our culture supports Walmarts goal of becoming a regenerative company by making a positive impact for associates customers and the world around us eg creating a sense of belonging eliminating waste participating in local giving
Act with Integrity: Follows the law our code of conduct and company policies and encourages others to do the same supports an environment where associates feel comfortable sharing concerns reinforces our culture of nonretaliation listens to concerns raised by associates and takes action acts with accountability for achieving results in a way that is consistent with our values
Act with Integrity: Is consistently humble selfaware honest and transparent
Serve our Customers and Members Delivers results while putting the customermember first and applying an omnimerchant mindset and acts with an Every Day LowCost mindset to drive value and Every Day Low Prices for customersmembers
Serve our Customers and Members Adopts a broad perspective that considers data analytics customermember insights and different parts of the business when making plans
Strive for Excellence: Consistently raises the bar and seeks to improve demonstrates curiosity and a growth mindset seeks feedback asks thoughtful questions supports innovation and intelligent risktaking and exhibits resilience in the face of setbacks
Strive for Excellence: Implements and supports continuous improvements and willingly embraces new digital tools and ways of working
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $84,000.00 - $156,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field Option 2: 2 years' experience in data analysis, data science, statistics, or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau) Primary Location... 221 River St, Hoboken, NJ 07030, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

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Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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