Data Analyst

MarketShare is the world’s leading analytics technology provider for major brand marketers. We are the industry-leader, pushing the envelope in predictive, state-of-the-art analytics and organizational decision-making.

Data is rarely perfect. We are looking for a Data Analyst who has gained experience with traditional data pipelines and is now looking for a new data challenge. You may use tools you have never used before. You will experience very challenging data and you will apply best practices, combined with thinking outside the box, to create solutions. There will be routine work, tough puzzles, and you must truly love data. However, you will join a dynamic team that sees change as an opportunity to learn and grow. You will work in a cross functional group that spans Client Strategy, Data Management, Analytical Insights, and Product Solutions. You will use a keen eye for detail, an understanding of the client’s industry and business practice, and common sense to solve data puzzles and problems.

* Working with a variety of data related to traditional marketing and digital marketing, as well as supporting data (economy, weather, etc.) * Using existing processes implemented in SAS to process incoming files and produce analytical data sets * Producing reports and summaries * Adhering to best practices, standards, and discipline * Working in an agile environment where there is pressure for delivery and pressure for quality of output * Partnering with statisticians and marketing strategists (account managers) on problem solving and troubleshooting data related issues * Documenting your technical implementation * Maintaining a knowledge base that is specific to your clients’ projects * Working with multifunctional teams responsible to deliver to a specific client and experiencing a variety of client problems * Gaining exposure to mind-boggling problems and challenges that come with applicable statistics and models that are related to your data * Integrating quality assurance into processes and helping to bring traditional best practices into this environment * Mentoring team members

* To be a “tinkerer”. We rarely have a solution that is obvious. You have to try different things * To be ready to ask questions and learn from fellow team members and other departments regardless of current experience * Experience as a Data Engineer or with Data Warehousing or Business Intelligence * To have worked on R-based or Python-based projects where you acquired data from files or scraped data from the internet, integrated it and used it for a purpose such as reporting, analysis, regression etc. * Experience in end-to-end ETL implementation for business operations, finance, or marketing * Interest in working with imperfect data * Bachelors in a hard science; Masters is a plus * To be well versed in SQL * Experience using PostgreSQL, Oracle, Hive, Base SAS with an extensive library of Macros, R, and Excel is desired * 2-5 years of experience