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Self Employed Data Analyst R Programming Jobs in Maryland

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Self-motivated and proactive, willing to drive a program of work to successful completion, * Strong ...

Data Analyst

Ashton, MD

$62K - $141K/yr

... programming languages such as Python, R, or SQL, for data manipulation and analysis * 2+ years of ... Ability to be self-motivated and pay strict attention to detail * Secret clearance * Bachelor ...

... programming languages such as Python, R, or SQL, for data manipulation and analysis * 2+ years of ... Ability to be self-motivated and pay strict attention to detail * Secret clearance * Bachelor ...

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.

You will use R and Python to perform in-depth analysis and create accessible visualizations, and ... Proven ability to handle multiple tasks simultaneously and meet deadlines, and possession of a self ...

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 ...

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 ...

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 ...

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

Data Analyst

Camp Springs, MD · On-site

$75K - $89K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

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 ...

... 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 ...

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 ...

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Self Employed Data Analyst R Programming information

Are R programmers in demand?

Self-employed R programmers and data analysts skilled in R programming are in high demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with knowledge of data visualization and statistical techniques, enhances job prospects in consulting, research, and analytics projects.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting results, making strategic decisions, and applying domain knowledge. Self-employed data analysts using skills in R programming and statistical analysis will continue to be valuable for complex, context-specific insights that AI cannot fully replicate.

Is 40 too late for data science?

Self-employed data analysts using R programming can start at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant tools like R, Python, and machine learning techniques, making age less of a barrier. Ongoing education and building a strong portfolio are key to entering the field at any age.

Can a data analyst be self-employed?

A data analyst can be self-employed by offering freelance or consulting services, often using skills in R programming, data visualization, and statistical analysis. Self-employment requires managing clients, setting rates, and handling business operations independently.
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:

Data Analyst

ASHLIN Management Group, Inc.

Bowie, MD • On-site

Full-time

Posted yesterday


Job description

ASHLIN is an Equal Opportunity Employer. ASHLIN is also an Equal Opportunity of Protected Veterans and Individuals with Disabilities.

ASHLIN Management is a VEVRAA Federal Contractor and desires for Priority Referrals of Protected Veterans

DATA ANALYST

JOB DESCRIPTION

ASHLIN Management Group is seeking a Data Analyst to join our team working with our data analytics team. This professional will start off working with ASHLIN’s cloud-based visualization platform, CompassBI, powered by Sisense, on visualizing descriptive statistics and other key performance indicators and building ASHLIN’s library of dashboard templates. Additional projects will include supporting our team of project specialist in developing deliverables to our clients, based research and analysis methods, using statistical models on business data collected in field. Candidates should also be comfortable preparing routine as well as ad-hoc business reports and PowerPoint decks to present the information to senior management and clients.

Essential duties and responsibilities:


  • Develop visualizations using tools such as Tableau, PowerBI and/or Sisense
  • Use sophisticated data analysis methods to support project team in creating deliverable for client
  • Work with clients to devise methods to optimize data capturing schemes and overall program evaluation plan Perform statistical modeling (e.g. ANOVA) using statistical software applications such as R and SPSS
  • Work with Senior Database Architect(s) to develop analytical SQL queries and reports for tracking, trending, and interpreting business data
  • Perform ongoing data quality assessments, identify discrepancies/inconsistencies, and resolve them
  • Continually improve the end-to-end process of data collection, transformation, analysis, and reporting
  • Develop data management programs and forms for data entry and maintenance by end-users
  • Document data analysis and reporting architecture, designs, and write user guides
  • Other duties as defined by senior research team

Qualifications

To be successful in this position, the Data Analyst must have a minimum of 3 years’ experience in:

  • Data analysis, involved in both primary and secondary research using data to arrive at decision pertaining to marketing strategies
    • Ability to interpret complex data sets (quantitative and qualitative) into insights that lead to effective marketing strategies and frameworks
  • Strong data analysis modelling, specifically the successful candidate must be able to:
    • Conduct cross-tabular and ANOVA and other statistical analysis using R and/or SPSS
    • Interpret results of statistical analysis output and draw insights in order to make recommendations to senior management what steps to take
    • Present data, interpretation and resulting strategy in language that indicates a command of the material while at the same time making sense to lay persons who may not have a marketing and/or data analysis background
  • Develop data reports using the following tools and technologies:

  • MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources)
  • Online Dashboards (e.g. Tableau, PowerBI, Sisense)
  • Expert level skills in the development of highly impactful PowerPoint slide decks
  • Development of scheduled and ad-hoc reports and analysis.
  • Working in a team environment with responsibility for delivery of timely and accurate business-critical reports and analysis:
    • Self-motivated and proactive, willing to drive a program of work to successful completion,
    • Strong oral/written communication, and presentation skills,
    • Ability to work with highly sensitive information and preserve the confidentiality of the information,
    • Detail oriented and capable of identifying and resolving data quality issues.

In addition, the following are highly desirable:

  • A minimum of 3 years’ experience with statistical analysis tools (e.g. R, SPSS)
  • A background in market research, or related disciplines
  • Working knowledge of relational databases (e.g. SQL)

Position requirements include:

  • At least a Bachelor’s Degree in Math, Probability & Statistics, or related data science field
  • Master’s degree in any of the above disciplines is highly desirable, or MBA
  • High proficiency with statistical analysis tools
  • Only open to candidates US Citizens and Permanent Residents currently authorized to work in the US