Data Analyst

Coda Staffing, Jersey City, NJ (United States)

Category: Programming

Posted on: 21 Nov 2020


Job Description


(Business Intelligence Analyst / Data Scientist for sports and entertainment ticketing & betting)

New York, NY



A rapidly expanding company providing fan-first big game ticketing offering fans the opportunity to see their teams in the biggest games as well as a platform to give fans access to the best in sports betting and fantasy sports. We’re looking for a leader who will excel in a critical role working alongside the company’s executives to help shape the future of the organization.



The Data Analyst will be responsible for interpreting data to improve business processes and to

drive business decisions. Using best in class analytical tools, the Data Analyst will work closely with our engineering team to collate and maintain data in reporting and analytical sources, and work with business stakeholders to interpret data patterns and trends.

Day-to-day activities will include building and optimizing business reports, running SQL queries and developing data visualizations for business and engineering projects, as well ad-hoc requests by the executive team.



- Interpret data, analyze results using statistical techniques and provide ongoing reports

- Develop and implement databases, data collection systems, data analytics and other

strategies that optimize statistical efficiency and quality

- Acquire data from primary or secondary data sources and maintain databases/data systems

- Identify, analyze, and interpret trends or patterns in complex data sets

- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators

to locate and correct code problems

- Work with management to prioritize business and information needs

- Locate and define new process improvement opportunities



- Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering / related

field, Marketing, or MBA with quantitative focus (or 3+ yrs prior experience in product

analytics supporting digital applications including mobile apps)

- Expert Proficiency in SQL

- Expert Proficiency in Microsoft Excel

- Demonstrated experience using data visualization software to convey analysis in an easy to

digest format (ideally Tableau or PowerBI)

- Familiarity with applied statistics (descriptive statistics, statistical testing, design of

experiments, linear modeling, time series analysis etc)

- Python/SPSS/SAS/R experience



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Job Source: Ziprecruiter (Will expire by: 2021-01-05 00:00:00)

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