• Product Support Analyst

    Job Locations US-VA-Reston
    Posted Date 2 weeks ago(4/12/2018 4:58 PM)
    # of Openings
    Data Analytics, Research & Product Operations
  • Job Description

    Job Title:  Product Support Analyst

    Location:  Reston, VA


    The Product Support Analyst works in our operations team and uses a deep technical understanding of the comScore products to address internal and external clients’ questions and/or issues. Working under the direction of the Product Support Manager, you will act as a liaison building strong relationships with internal clients, engineers and product managers. Key responsibilities include data analysis, data verification, and problem-solving abilities to find and report product bugs to engineering teams and track the resolution of these issues. Having a deep understanding and passion for the online environment will only aid your success at comScore.



    • Conducts data investigations and data validations to help clients understand comScore data
    • Resolves complex data problems and communicates results clearly to clients
    • Designs complicated SQL commands and generates reports from single or multiple systems to provide responses to clients
    • Responsible of conducting data quality checks on issues identified on the reporting interfaces by the clients
    • Visualizes data insights and communicates findings to both technical and non-technical teams
    • Creates detailed requirements to improve/revise data reporting structure and processes
    • Collaborate with teams in Data Science, Software Engineering, Client Services, Operations and Product Management to provide timely responses to clients on their requests
    • Strong business acumen and strategic thinking to understand, to prioritize and to respond effectively to clients’ issues and requests
    • Plays a key role in running the operational day-to-day aspect of client support team
    • Takes accountability and ownership of assigned projects, including troubleshooting and timely resolution



    • 0-2 years of experience in data analysis
    • Bachelor’s or Master’s degree in Data Science fields
    • Demonstrated experience in data analysis and problem solving with big data
    • Experience with SQL, GreenPlum and statistical software (R, SAS, SPSS)
    • Experience in data visualization tools such as Tableau, D3.js, dygraphs
    • Knowledge of relational databases and methods for efficiently retrieving data
    • Strong writing and technical documentation skills
    • Sense of creativity to develop and optimize deliveries and technical processes
    • Team player with strong interpersonal skills and a willingness to help others
    • Strong analytical and problem-solving skills as it pertains to technical implementation techniques for data collection and integration
    • Detail oriented self-starter with a passion for data analysis, who is able to work in a fast paced environment
    • Working knowledge of Agile development is a plus


    About comScore: comScore is a leading cross-platform measurement company that measures audiences, brands and consumer behavior everywhere. 


    comScore completed its merger with Rentrak Corporation in January 2016, to create the new model for a dynamic, cross-platform world. Built on precision and innovation, comScore’s data footprint combines proprietary digital, TV and movie intelligence with vast demographic details to quantify consumers’ multiscreen behavior at massive scale. This approach helps media companies monetize their complete audiences and allows marketers to reach these audiences more effectively. With more than 3,200 clients and a global footprint in more than 70 countries, comScore is delivering the future of measurement. 


    Shares of comScore stock are currently traded on the OTC Market (OTC:SCOR).

    For more information on comScore, please visit comscore.com.


    EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law.



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