February 7, 2024

Manager, Data Analysis

Job Title: Manager, Data Analysis

Location: Pune, MH

About This Role

A Manager on the CCR Analytics team will lead a small team responsible for the development and delivery of TV, digital, and cross-platform advertising measurement solutions. They will drive team development goals and objectives as well as handle the coordination of all tasks within the team. Working as part of the CCR Analytics department, this individual will be hands-on with a vast array of Comscore data assets to analyze data trends, champion data-driven insights on consumer behavior and expand current product offerings. Additionally, this individual will work within a creative environment to convey findings to stakeholders and clients. This role will provide opportunities to apply analytical thinking and problem solving through a advertising measurement and consumer behavior lens.

What You’ll Do:

  • Support Advertising Analytic Products in day to day operations
  • Create and support new features for Advertising Products
  • Present methodologies, reporting, and key insights to senior stakeholders
  • Collaborates with Managers, Leads, Client Insights team members, and other client facing teams to accomplish on-time and on-budget execution of requested analysis.
  • Takes full responsibility for analytic research.
  • Provides sales support through feasibility reviews and analysis; uses insight to contribute ideas.
  • Escalates issues when appropriate; navigates through internal teams easily.
  • Serves as key go-to person for client insights on all projects delivered.
  • Shows initiative outside assigned task.
  • Assists in the development of automating and streamlining custom work.
  • Formulates technical paths that make business sense to open-ended client problems.
  • Manage a small team of data scientists to achieve desired business outcomes
  • Manage multiple projects at once, be able to respond to shifting priorities and meet deadlines
  • Help develop new skills in data scientists

What You’ll Need

  • Bachelor’s Degree in data science, mathematics, science, engineering, or related field
  • Master’s Degree (or equivalent experience [4-6 years])
  • 4 Years or more of professional data analysis experience in working with big data
  • 1+ Years of team and/or project leading experience
  • Solution oriented mindset
  • Experience leading teams in technical operations
  • Experience building Machine Learning models
  • Advanced Excel knowledge and skills
  • Proficiency in Python, SQL, Spark Technologies
  • Excellent written and spoken communication skills
  • Ability to partner and collaborate across multiple teams
  • Ability to research new tools and methods to improve functionality and enhance productivity
  • Willingness to seek and provide constructive feedback
  • Experience with AWS and cloud based technologies is a plus
  • Experience in the Media Measurement space is a plus

Shift Timing:

The regular hours for this position will cover a combination of business hours in the US and India – typically 2:30pm-11pm IST.  Occasionally, later hours may be required for meetings with teams in other parts of the world.  Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required.

Benefits:

  • Medical Insurance coverage is provided to our employees and their dependants, 100% covered by Comscore;
  • Provident Fund is borne by Comscore, and is provided over and above the gross salary to employees;
  • 26 Annual leave days per annum, divided into 8 Casual leave days and 18 Privilege leave days;
  • Comscore also provides a paid “Recharge Week” over the Christmas and New Year period, so that you can start the new year fresh;
  • In addition, you will be entitled to:
  • 10 Public Holidays;
  • 12 Sick leave days;
  • 5 Paternity leave days;
  • 1 Birthday leave day.
  • Flexible work arrangements;
  • Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors)
  • “Summer Hours” are offered from March to May: Comscore offers employees the flexibility to work more hours from Monday to Thursday, and the hours can be offset on Friday from 2:00pm onwards;
  • Employees are eligible to participate in Comscore’s Sodexo Meal scheme and enjoy tax benefits; 

This will be a foundational role on our Pune-based GL team during a time of exponential growth for Comscore in Pune. The candidate for this role will be one of the first GL hires in Pune and will work with Comscore teams around the world on work vital to the future of Comscore and our clients. 

About Comscore:

 

At Comscore, we’re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we’re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you’re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we’d love to hear from you.   

Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry’s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.

Comscore is committed to creating an inclusive culture, encouraging diversity.

*LI-JL1

Manager, Data Analysis
https://www.comscore.com/About/Careers/Job-Opportunities?sfid=946

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