Video Collection Analyst
Nice to have's
Job description
About the Position
Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.
We are seeking a Video Collection Analyst to join our team in Chicago, USA. This role involves capturing video for live data collection and ensuring accurate scheduling and reporting. If you are passionate about sports and have a keen eye for detail, this could be the perfect opportunity for you.
Responsibilities
- Capturing Video: Responsible for capturing video as per production requirements, working with both the existing Video Team and international Video Staff.
- Scheduling: Create a daily recording schedule using bespoke software tools.
- Preparation: Prepare video for our production teams on time and in the correct format.
- Reporting: Provide daily reports, handover documents, and incident logs.
- Hardware Checks: Perform weekly hardware checks on the video equipment.
- Optimization: Use online and internal knowledge to optimize video production.
- Communication: Communicate regularly and clearly within the business to ensure the highest capture rates.
- Quality Control: QC the work of all team members to ensure the accuracy of all scheduling/source information.
- Flexibility: Regularly work weekends with a flexible working pattern.
Requirements
- Education: A High School Diploma or equivalent.
- Interest: A strong familiarity with and interest in professional sports.
- Skills:
- Ability to plan with accuracy and strong foresight.
- Ability to communicate clearly and accurately around the global video teams.
- Ability to work well with others in a team atmosphere.
- Ability to produce error-free work under tight deadlines/live environment.
- Excellent written, communication, and organizational skills.
Nice to Have
- Experience:
- Experience in scheduling and planning.
- Experience with Excel and Microsoft Teams.
- Experience with TV, satellite, and online streaming services.
We Offer
- Work Environment: We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us.
- Benefits:
- Mental Health Days Off.
- ‘No Meeting Fridays’.
- Flexible working schedules.
- Community Engagement: We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.
About the Company
At Stats Perform, we are committed to creating an inclusive atmosphere where everyone feels valued and welcome. Our Diversity, Equity, and Inclusion goals underpin our core values. By joining Stats Perform, you'll be part of a team that celebrates diversity and is dedicated to serving our clients and communities.
Department: Technology
Location: Chicago - USA
© Stats Perform. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Sports Technology,Data Analytics,Artificial Intelligence,Media and Entertainment
About the Company Stats Perform operates at the intersection of sports and technology, providing companies and individuals worldwide with enhanced access to sports events and data through products based on artificial intelligence and machine learning. The company is a leader in the high-tech sports industry. Products, Services & Tech Stack Core Solutions Trusted Live Opta Sports Data Sports AI Technology API Feeds Technologies & Frameworks AI models Machine learning Proprietary sports data Computer vision Automation Project Scope & Target Clients Client Base Media and Creators Teams, Leagues, and Federations Broadcasters and Streamers Brands and Agencies Sportsbooks Engineering Scale Extensive data engine built on 7.3+ petabytes of proprietary sports data across thousands of competitions and 20+ sports. Advanced AI trained on proprietary sports data. Proprietary methods, expert collection, computer vision, and automation.
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