Data Analyst

3 weeks ago

Bareilly, Uttar Pradesh, India PureSpectrum Full time

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 looking for 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. This position reports directly to a senior member of the Product leadership team.

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
  • Manage full lifecycle of analytics projects including mining, cleaning and transforming data from multiple databases/collections to design and execution
  • Partner with the engineering team to create new data pipelines, develop dashboards and reports, leveraging data visualization and other tools
  • 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 and 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 Perks:

PureSpectrum is continuously focused on our culture, which is rooted in innovation, connection, and providing a great experience at all business levels —what we like to call PSX. Our team enjoys a creative and collaborative environment with plenty of opportunities for fun, connection, and team celebrations.

  • Team events and celebrations.
  • Employees enjoy casual dress and fun within a professional team environment.
  • We believe in supporting our team both personally and professionally—empowering you to thrive inside and outside of work.

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.

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