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Afternoon Data Analyst R Programming Jobs in Maryland

Tekcel8

Data Analyst

Laurel, MD

Basic experience with Python or R for data analysis and automation. * Understanding of data ... Collaborate with Data Engineers, Business Analysts, and leadership teams on data initiatives.

Infojini Inc

Data Analyst

Linthicum Heights, MD · On-site

Lead data warehousing efforts and performing data analysis as needed across sets of transactional ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Ashton, MD

$62K - $141K/yr

... programming languages such as Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data engineering in Databricks or Spark * Experience using Micro sof t Office 365 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Kensington, MD

$62K - $141K/yr

... programming languages such as Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data engineering in Databricks or Spark * Experience using Micro sof t Office 365 ...

eSimplicity

Data Analyst

Columbia, MD · On-site

$79K - $132K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Strong proficiency in SQL and at least one scripting language (Python or R) for data wrangling and ...

Leidos

SME Data Analyst

Gaithersburg, MD

Experience with programming languages such as Python, R, or SQL . * Experience with data analysis and visualization tools (e.g., Pandas, Tableau, Power BI, or similar). * Experience analyzing ...

Ocean Bay LLC

Data Analyst (5615)

Indian Head, MD · On-site

Analyze, integrate, and test software/data systems; script using Python/R; support analytics ... Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP ...

Digital Harbor Foundation

Data Analyst

Baltimore, MD · On-site +1

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Leidos

Journeyman Data Analyst

Bethesda, MD · On-site

$73K - $132K/yr

... R, SQL, VBA. * Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent * Requires demonstrated ability with data analysis, data engineering, and data ...

Leidos

Journeyman Data Analyst

Bethesda, MD

$73K - $132K/yr

... R, SQL, VBA. * Proficiency in visualizing and presenting data using platforms such as Tableau, Power BI, or equivalent * Requires demonstrated ability with data analysis, data engineering, and data ...

Interclypse Inc.

Data Analyst

Annapolis, MD · On-site

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Interclypse Inc.

Data Analyst

Annapolis Junction, MD · On-site

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Think Tank, Inc.

Senior Data Analyst

Silver Spring, MD · On-site

$89K - $112K/yr

Proficiency with analysis tools such as BigQuery, R, SQL, and Excel . * Experience with data visualization software (e.g., Looker, R Studio). * Professional Skills: * Strong written and verbal ...

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

Data Analyst

Tekcel8

Laurel, MD

Other

Posted 11 days ago

Job description

Job Description

We are seeking a motivated Data Analyst with 3+ years of experience in data analysis, reporting, and business intelligence. The ideal candidate will be responsible for transforming data into actionable insights, developing reports and dashboards, and supporting data-driven decision-making across the organization.

Required Skills & Qualifications
  • 3+ years of experience as a Data Analyst or in a similar analytical role.
  • Strong proficiency in SQL for data extraction, analysis, and reporting.
  • Experience with data visualization tools such as Power BI, Tableau, or Looker.
  • Strong knowledge of Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and advanced formulas.
  • Experience analyzing large datasets and identifying trends, patterns, and business insights.
  • Knowledge of data cleansing, validation, and quality assurance processes.
  • Familiarity with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
  • Basic experience with Python or R for data analysis and automation.
  • Understanding of data modeling concepts and reporting best practices.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills with the ability to present findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience with ETL processes and data warehousing concepts.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience working with business intelligence and reporting solutions.
  • Familiarity with statistical analysis and predictive analytics.
  • Exposure to Agile/Scrum methodologies.
  • Industry experience in government, healthcare, finance, or insurance is a plus.
Responsibilities
  • Collect, analyze, and interpret data from multiple sources.
  • Develop and maintain dashboards, reports, and visualizations to support business objectives.
  • Identify trends, anomalies, and opportunities through data analysis.
  • Work closely with business stakeholders to understand reporting requirements.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.
  • Create ad hoc reports and perform data validation as needed.
  • Support data-driven decision-making by providing actionable insights and recommendations.
  • Collaborate with Data Engineers, Business Analysts, and leadership teams on data initiatives.
  • Document data definitions, reporting logic, and business metrics.

Location: Maryland (Hybrid)
Duration: Long-Term Contract
Experience: 3+ Years
Visa: GC-EAD Only

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