Visual Analytics

Department Icon Data Science Analytics & Machine Learning
Posted: 4 years ago
2-4 years
Bengaluru
Data Science Analytics & Machine Learning
Work From Office
Full Time

Posted: 4 years ago
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Job Description

Visual Analytics Analyst

(Data Measurement & Reporting Analyst)

Summary

The ideal candidate will work on data visualization projects supporting the business’ key use cases. The candidate will collaborate with colleagues on the end to end life cycle of data visualization products – from requirement gathering to final delivery. The candidate will need to be resourceful and passionate; someone who isn’t afraid to jump in to figure out the business and operational problems and who has foundational technical and data skills that will help build better solutions. In addition, the candidate should have an appetite for learning and leveraging new skills on a day to day basis.

To be successful as a Visual Analytics Analyst, you must possess and be able to execute on the following:

Analytic Skills: Demonstrated ability to analyze, interpret and translate data in an effort to create data visualizations that provide meaningful insights and actionable recommendations.

    • Deliver insightful, easy to understand dashboards and visualizations
    • Leverage and understand industry best practices for data visualization
    • Perform analysis on large datasets by using a combination of tools including Tableau, AWS and SQL

    Communication: Demonstrate strong interpersonal communication and presentation skills

    • Help to inform best practices for the Visual Analytics Team
    • Demonstrate a flexible approach to communication; adapt messages quickly to the appropriate level or function with poise and polish
    • Keep key stakeholders informed of project updates via regular communications and participation in daily stand ups

    Requirements/Skills

    • Degree in a quantitative field (i.e. computer sciences, mathematics, engineering, sciences)
    • Experience with Tableau and or other data visualization tools
    • Experience utilizing SQL, R and/or Python for working with complex datasets
    • Data analytics expertise
    • 2-4 years’ experience in a fast paced quantitative environment
    • High attention to detail
    • Excellent verbal and written communication skills
    • Fast learner who takes initiative
    • Intellectually curious and takes ownership for everything you do

    About Cigna

Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you’ll enjoy meaningful career experiences that enrich people’s lives. What difference will you make?

Skills

AnalyticsTableauPythonInnovation

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About Company

Cigna traces our roots back more than 200 years, but we became the company you know today in 1982 with the merger of INA Corporation and Connecticut General Corporation. Ever since, we’ve continued to innovate and expand around the world. We have sales capability in 30 countries and jurisdictions, and more than 86 million customer relationships throughout the world. Our more than 37,000 employees serve customers just about everywhere. Every day, our team works together with our customers in ways they find proactive, personal and empathetic. That spirit of true partnership goes deeper than paying claims, and is often life-changing — helping customers stay well, prevent sickness, obtain access to health care, recover from illness or injury, return to work and provide for their families. We work together with customers to provide customers with personally relevant products and services, and we help customers choose affordable health care and achieve optimal health outcomes.

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