Data Analyst

  • Newtown Township, PA
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
Contract - W2
Contract - Independent

Skills

Product Management
Product Strategy
Management
Adaptability
Communication
Performance Metrics
Analytical Skill
Dashboard
R
Data Cleansing
Research
Scripting
Modeling
Visualization
SQL
Data Extraction
Python
Pandas
NumPy
matplotlib
Data Analysis
Research Design
Data Visualization
Tableau
Microsoft Power BI
Soft Skills
Collaboration
Data Science
Statistics
Applied Mathematics
Economics

Job Details

Job Title: Data Analyst
Location: Remote

Type: Contract
Contractor Work Model: Remote

Data Analyst (Remote - 6-Month Contract, Likely Extension) Location: Fully Remote (U.S)
Duration: 6-Month Contract (Strong potential for extension)
Employment Type: Contract / W-2 Overview We are seeking a Data Analyst to support our Product Management teams in making data-driven decisions that influence our digital product strategy. This individual will play a key role in transforming complex data into meaningful insights, helping guide strategic initiatives across a large, fast-paced organization.

The ideal candidate combines strong technical skills in R, SQL, and Python with a solid theoretical and research foundation in data analysis. They will manage both ongoing data tracking efforts and ad hoc analytical requests, requiring a blend of rigor, adaptability, and clear communication. Key Responsibilities
  • Partner with Product Managers and internal stakeholders to understand data needs and provide actionable insights to drive product decisions.
  • Track and analyze data trends over time, identifying key performance metrics and emerging patterns across digital product lines.
  • Handle ad hoc data requests efficiently, delivering quick-turn, accurate analyses that inform immediate business questions.
  • Design and maintain analytical frameworks, dashboards, and reports to visualize key insights for both technical and non-technical audiences.
  • Utilize R scripting (and Python, if applicable) to automate data cleaning, transformation, and visualization processes.
  • Write and optimize SQL queries to extract and manipulate large datasets from multiple sources.
  • Apply sound theoretical and research principles to ensure statistical validity and interpretive accuracy in all analyses.
  • Present findings and recommendations clearly, translating data into compelling narratives that support business objectives.
Qualifications
  • 3+ years of experience as a Data Analyst or Research Analyst, ideally within a large or complex organization.
  • Proficiency in R for scripting, modeling, and visualization.
  • Strong working knowledge of SQL for data extraction and transformation.
  • Experience with Python (pandas, NumPy, matplotlib, etc.) is highly preferred.
  • Demonstrated ability to conduct longitudinal data analysis and track trends over time.
  • Solid grounding in statistical theory, research design, and data methodology.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker is a plus.
  • Excellent soft skills-able to communicate findings clearly to stakeholders and collaborate effectively across departments.
  • Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Economics, or a related field.


System One, and its subsidiaries including Joul, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #223-Eng Orlando
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