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Freelance Data Analyst R Programming Jobs in Illinois

Sr Data Analyst

Chicago, IL · Hybrid

$88.70K - $111.90K/yr

The Senior Data Analyst, working in collaboration with and in support of the firm's strategic ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Senior Data Analyst

Chicago, IL

$88.60K - $111.80K/yr

Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...

Sr Data Analyst

Chicago, IL · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Data Analyst

Chicago, IL

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

... R to extract meaningful insights * Apply statistical techniques to analyze data distributions ... correlations, and trends, contributing to the development of robust analytical models * Create and ...

... R to extract meaningful insights * Apply statistical techniques to analyze data distributions ... correlations, and trends, contributing to the development of robust analytical models * Create and ...

In this role, you will collaborate with business stakeholders, technology teams, and data engineers to analyze complex datasets, develop reporting solutions, and support high-priority projects. The ...

In this role, you will collaborate with business stakeholders, technology teams, and data engineers to analyze complex datasets, develop reporting solutions, and support high-priority projects. The ...

Senior Data Analyst- Enterprise

Chicago, IL

$88.60K - $111.80K/yr

Senior Data Analyst- Enterprise At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Why Tech Companies Hire Our Candidates Today's employers are looking for developers, engineers, and ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

Integration Analyst This role is part of our engineering organization and is responsible for ... Required skills: • 5 years of experience as an integration analyst, healthcare data analyst or ...

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Showing results 1-20

Freelance Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What does a Freelance Data Analyst specializing in R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

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

Sr Data Analyst

DLA Piper

Chicago, IL • Hybrid

$88.70K - $111.90K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


DLA Piper rating

9.0

Company rating: 9.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

4th of 17 rated law firms


Job description

Senior Data Analyst

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading financial analysis projects, identifying financial trends and operational performance drivers, advancing the firm's data innovation efforts, and applying advanced analytical techniques to support strategic decision-making. This role requires strong analytical and technical skills, financial acumen, and a passion for leveraging data to drive business outcomes.

The Senior Data Analyst uses tools such as Power BI to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This individual will lead large-scale analytical initiatives, mentor junior analysts, and collaborate with FP&A Revenue & Strategic Finance team to prioritize business needs and deliver actionable insights.

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation and communications skills. The role also involves fostering collaboration, driving continuous improvement, contributing to the firm's data strategy, and ensuring timely, accurate deliverables. Working closely with the FP&A Revenue & Strategic Finance team and our practice groups across the firm, this position conducts research, analyzes and presents data to identify trends, forecast outcomes, and support informed decision-making related to financial performance. Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, forecasting, developing and implementing data collection techniques to optimize statistical efficiency.

This position can sit in any of our US office locations (Reston, Chicago, New York, and Short Hills are preferred offices) and offers a hybrid work schedule.

Responsibilities

  • Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact analytics, forecasting, reporting and insight-driven solutions.
  • Collaborate with FP&A Revenue & Strategic Finance to identify practice group challenges and prioritize analysis and solutions.
  • Implement best practices and innovative solutions to enhance data integrity and data reporting accuracy, leveraging AI tools to enable data validation of financial reporting
  • Drive and manage large-scale analytical projects that span multiple teams and functions.
  • Coordinate cross-functional efforts to ensure project alignment with business objectives and successful execution.
  • Specifically support identification and tracking of revenue financial drivers and regularly present to internal partners and practice group leadership.
  • Support data quality and production for external survey submissions.
  • Analyze trends and derive actionable insights to address complex business challenges.
  • Design and develop advanced solutions to streamline processes, improve data quality, and drive intelligent automation.
  • Champion continuous improvement initiatives to enhance operational efficiency and effectiveness.
  • Engage with stakeholders at all levels to understand their needs and provide tailored data solutions.
  • Strong communication and financial storytelling skills with both technical and non-technical stakeholders.

Desired Skills

Strong analytical and problem-solving skills, with the ability to interpret large complex datasets, identify trends and provide actionable data-driven insights. Highly proficient in data visualization tools (PowerBI/Tableau). Experience in management reporting, report creation process and dashboard design. Highly proficient in Microsoft office, with advanced skills in Excel, including complex formulas, pivots tables, data analysis, VBA, and data visualization techniques. Experience with advanced statistical methods and data modeling techniques. Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming languages.

Demonstrated experience in creation of complex queries, data manipulation, and automation of data processes. Experience/Interest in Machine Learning and AI implementation. Demonstrated problem-solving skills and the ability to adapt to changing business needs. Ability to work independently and as part of a team. Attention to detail and high level of accuracy in work.

Minimum Education

  • Bachelor's Degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field.

Minimum Years of Experience

  • 4 years' experience as a Data Analyst or similar role including experience with data modeling, statistical analysis and processes.

Essential Job Expectations

  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties.
  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner.
  • Provide timely, accurate, and quality work product.
  • Successfully meet deadlines, expectations, and perform work duties as required.
  • Foster positive work relationships.
  • Comply with all firm policies and practices.
  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed.
  • Ability to work under pressure and manage competing demands in a fast-paced environment.
  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.

Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position. The firm's expected hiring range for this position is $89,991 - $143,088 per year depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.