Data Analyst -
50.00 /hr. + W2 Only - WE ARE UNABLE TO SUPPORT C2C
ONSITE - 3 days /wk. in Ridgefield PK, NJ
Why Join Us
Our client is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, they are transforming the worlds of TVs, smartphones, wearable devices, tablets, cameras, digital appliances, network systems, medical devices, semiconductors and LED solutions. Our client is also leading in the Internet of Things space through, among others, our Smart Home and Digital Health initiatives.
Since being established in 1969, Our Client has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands. Our network now extends across the world, and our client takes great pride in the creativity and diversity of its talented people, who drive our growth.
Position Summary:
We're looking for an innovative individual to support the Ads Analytics team. This position will create reporting solutions from one of the richest TV viewership/media consumption databases in the industry today.
Skills and Qualifications
• Bachelors degree in Mathematics, Computer Science, Economics, or Statistics
• 7 years experience mining data as a data analyst or business data analyst
• Proven analytic skills, including mining, evaluation, analysis, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Strong SQL or Excel skills with the ability to learn other analytic tools
• 5+ years experience using reporting tools such as Tableau.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Working experience with transactional data sets
• Previous experience in ecommerce analytics or similar function with heavy focus on data analysis
• Must have executive level power point creation experience
Responsibilities
• Develop, implement, and maintain leading-edge analytic reports, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex data sets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
• Work directly with management and users to gather requirements, provide status updates, and build relationships
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
• Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
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