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Data Analyst
$91k-118k (estimate)
Full Time | Sports & Recreation 1 Week Ago
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U.S. Soccer Federation is Hiring a Data Analyst Near Atlanta, GA

DescriptionU.S. Soccer OverviewWe are U.S. Soccer and we are the future of sport in the United States. Our mission is to make soccer the preeminent sport in the United States. We embrace diversity, technology and global connections to drive the growth of our sport and serve our athletes and fans. We seek motivated, passionate, skilled people who can think, create and work on a team.
U.S. Soccer is a growing company that looks for team members to grow with it. U.S. Soccer offers a comprehensive compensation package, casual work environment, an inclusive culture and an atmosphere for professional development.
The Federation’s core principles set organization-wide standards to identify and foster our culture and inform how we interact and hold each other accountable. These principles guide U.S. Soccer:We Win Together. We Aim High. We Champion Diversity, Equity & Inclusion. To be successful as a USSF employee, it is critical to demonstrate and live up to these principles every day and with every interaction with peers, stakeholders, and partners.
The Federation’s core values are the individual attributes and characteristics that staff embody to uphold the organization’s principles and succeed. These values guide our employees: Integrity. Commitment. Teamwork. Respect.Position DescriptionThe Sporting Analytics - Data Analyst will be responsible for delivering data insights from the Data Analytics Department to the coaching and technical staff across all national teams. Their role will be to ensure that any ad-hoc questions are answered quickly and in a clear and effective manner making extensive use of data visualization, as well as developing and maintaining regular opposition, post-match and custom reports.
Primary Responsibilities
  • Quickly answer any ad-hoc questions from the coaching staff balancing effective and thorough work with quick turnaround times
  • Responsible for building out and maintaining automated reports including opposition and post-match reports
  • Build out a library of data visualizations based on the metrics and KPIs developed by the data analytics team
  • Iterate on existing reports and visualizations with feedback from technical staff, working closely with performance analysts
  • Align data reporting structures with video analysis with the ability to build out presentations combining video and data insights
  • Develop reporting structures to track national team pool players in their club environments
  • Work with technical staff on developing series of KPIs to accurately measure game model and prepare for upcoming opponents
  • Communicate outputs of complex models to non-technical audiences using “soccer” language
  • Support data analytics team on longer term projects ensuring alignment with national team requirements
RequirementsMinimum Qualifications
  • Bachelor’s Degree or Post-Secondary Qualification in Performance Analysis, Mathematics, Computer Science or equivalent area of study
  • Strong tactical knowledge and understanding of soccer
  • Strong data visualization background
  • Comfortable using data science programming languages such as Python or R
  • Ability to query SQL-style databases
  • Excellent communication skills, particularly in presenting data concepts to non-technical audience
  • 0-5 years experience working with coaches and/or video analysts
  • Previous experience working in a professional or college sporting environment
  • Strong interpersonal skills, with the ability to communicate and work with various different management styles and coaches
  • Proven ability to work to tight timelines and deliver high quality work able and willing to travel up to 15% of the year
  • Able and willing to work non-traditional hours including evenings and weekends as needed
Desired Qualifications
  • Previous experience with a club or national team
  • Strong knowledge and understanding of the overall soccer landscape in the U.S.
  • Strong verbal, written, in-person and presentation communication skills
  • Coaching and/or playing experience preferred
  • Bilingual (English, Spanish, or other)
  • Knowledge of video analysis softwares and workflows (particularly Hudl Sportscode and general Hudl ecosystem)
  • Experience with cloud based data architecture such as AWS, GCP or Azure
  • Ability to work in version control with Git
  • Thorough institutional knowledge of U.S. Soccer’s mission, goals, technical plan, policies, practices, and procedures
U.S Soccer is an equal opportunity employer that is committed to diversity, equity and inclusion, and prohibits discrimination and harassment of any kind on the basis of race, color, sex, religion, national origin, citizenship, pregnancy, sexual orientation, gender identity, age, disability, genetic information, military status, political belief, or any other characteristic protected under the law. This policy applies to all our employment practices within our organization.We strongly encourage women, people of color, LGBTQIA, veterans, parents, and persons with disabilities to apply.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Sports & Recreation

SALARY

$91k-118k (estimate)

POST DATE

05/20/2024

EXPIRATION DATE

06/14/2024

WEBSITE

ussoccer.com

HEADQUARTERS

TWENTY SECOND STREET, IL

SIZE

3,000 - 7,500

FOUNDED

1913

CEO

FRANK LONGO

REVENUE

<$5M

INDUSTRY

Sports & Recreation

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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