Associate Data Analyst
Company Name:-
comScore, Inc.
Job Location:-
Reston, VA 20190 (Sunset Hills area)
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionJob Description:
Job Title: Associate Data Analyst
Location: Reston, VA
About this Role:
The Digital Operations team is seeking a Data Analyst to mine our large-scale data sets (2+ trillion data records/month), solve data problems, and provide insights to help inform our clients strategy in launching and analyzing marketing campaigns around the world.
The Data Analyst will be responsible for producing and analyzing data used to generate and deliver our Digital Mobile and Multi-Platform audience measurement products.
The individual will support the operational delivery of these measurement products in multiple markets, driving solutions to meet market demands.
This role requires hands on data analysis, daily creative problem solving, designing new or improving existing data quality solutions, and above all, delivering against comScore’s operations objectives.
Their work will have a direct impact on driving business strategies for prominent industry leaders.
We are a small but powerful team of data junkies, analyzing over 20 TB of data each day to deliver product solutions to our clients.
What Youll Do:
Utilize SQL, Python, data warehousing and big data technologies during analytics delivery efforts Work with Product Management on what problems to tackle and collaborate with Data Science and Core Processing Engineering/Operations teams to create robust production solutions
Investigate processing and methodology cases that cause data quality issues
Drive analytical projects that span across multiple teams and functions
Build, test, and evaluate new features and concepts during the production integration process
Design and develop solutions to streamline processes, enhance data quality, and drive intelligent Quality Assurance Participate in ongoing research and evaluation of new operational solutions and technologies
Analyze trends and draw insights, solving problems and data investigations for product management and client insights
What You’ll Need:
Bachelors degree in Engineering, Computer Science, Mathematics, Information Systems, or similar quantitative discipline
1-3 years of professional experience in data analysis and problem solving with massive datasets
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