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PureSpectrum

Data Analyst

Reposted 15 Days Ago
Remote or Hybrid
Hiring Remotely in United States
Mid level
Remote or Hybrid
Hiring Remotely in United States
Mid level
The Data Analyst will conduct product analyses, build predictive models, clean and manage datasets, and communicate findings to various stakeholders.
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Who We Are:
PureSpectrum is a rapidly growing market research and insights platform. We simplify technology for researchers so they can gather and use consumer data the way they want - without disruption.
PureSpectrum currently facilitates more than 65 million online interviews annually through our Marketplace. PureSpectrum also developed the industry's first and only respondent-level scoring system, PureScore. Most recently, PureSpectrum was recognized across the industry: Certified Great Place to Work (2022-2024), Built In's Best Places to Work (2023-2024), Inc Best Workplaces (2023), Newsweek's Global Most Loved Workplaces (2023-2024), Deloitte's Fast 500 (2020- 2023). PS is rapidly becoming the leading solution for quality multi-sourcing, as well as end to end automated research solutions.
The Opportunity:
PureSpectrum is seeking a Data Analyst who will be responsible for product related analyses, reporting and insights. The Data Analyst will be working in a fast-paced environment within the Analytics and Data Science organization and will report directly to the VP - Analytics and Data Science. The ideal candidate is highly analytical, intellectually curious, detail oriented and should be comfortable working closely with individuals across the global enterprise, as well as with technology partners and vendors.
Location: Hyderabad, India - 3 days in office requirement
Your Responsibilities:
  • Understand business issues, formulate and test hypotheses using appropriate statistical methods, and create Proof-of-Concept (POC) models
  • Develop, implement, and refine predictive models to build training datasets
  • Execute end-to-end projects, ranging from mining, cleaning, inputting and transforming data from multiple databases/collections
  • Partner with the engineering team and create pipelines to collect, store and retrieve training datasets
  • Coordinate with functional teams to prioritize workflow, triage and resolve data consistency and quality issues
  • Communicate ideas, analyses and results effectively, both verbally and in writing, to technical as well as non-technical audiences.
  • Proactively identify any potential issues/questions regarding the integrity of data and suggest resolutions to Data Management teams

Qualifications:
  • Bachelor's degree required with 3 years or more of hands-on experience in Data Analysis or Master's Degree in Quantitative Economics, with one year or more of hands-on experience.
  • Experience in big data environments such as AWS
  • Experience with internal and external relationship management, partner presentations, and quantitative data analysis.
  • Experience with analytical tools and programming languages such as Python, R, SAS
  • Prior experience with report and dashboard design
  • High proficiency in Excel with strong analytical and mathematical capabilities.
  • Exposure to API integrations and customized applications.
  • Familiarity with databases and BI tools (e.g. SQL, mongoDB, QuickSight, Tableau, Microsoft Power BI)

PureSpectrum Benefits:
We offer a competitive compensation and benefits package including well-covered health insurance, PF, etc.
  • Leave policy provides for casual, sick, and vacation leaves, which adhere to statutory compliance needs.
  • Team events and celebrations.
  • Employees enjoy casual dress and fun within a professional team environment.

PureSpectrum is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited under the law.

Top Skills

AWS
Microsoft Power Bi
MongoDB
Python
Quicksight
R
SAS
SQL
Tableau

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