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Data Analyst

Data Analyst

Purespectrum

3 - 8 years

5 - 10 Lacs

Hyderabad

Posted:1 day ago| Platform:

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Skills Required

Relationship management Health insurance Data analysis SAS Data management Market research Workflow microsoft Analytics SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

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)

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Data Analyst