Sony is hiring for an entry level Data Analyst role in US

Position:

• Data Analyst

Company:

• Sony Corporation of America

Location:

• Culver City, California

Job type:

• Full time

Job mode:

• Hybrid (2 days in-office)

Job requisition id:

• JR-117713

Years of experience:

• 1+ year

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Company Description:

• Sony Corporation of America is the U.S. headquarters of the global tech and entertainment powerhouse Sony Group Corporation, headquartered in Tokyo, Japan.

• The company operates across a broad spectrum of industries, with its U.S. entities including Sony Electronics Inc., Sony Music Entertainment, Sony Interactive Entertainment LLC, Sony Music Publishing, and Sony Pictures Entertainment Inc.

• Sony is one of the most recognized names in global entertainment, with an ecosystem that includes over 900 million devices worldwide. From gaming through PlayStation Network to a portfolio of iconic films, television shows, and music, Sony plays a vital role in shaping global entertainment experiences.

• With a mission to "fill the world with emotion through the power of creativity and technology," Sony continues to lead through innovation, content, and a commitment to sustainability, diversity, and ethical conduct.

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Profile Overview:

• This position is a great opportunity for someone passionate about working with data in the entertainment industry.

• As a Data Analyst at Sony Corporation of America, you will be part of a centralized analytics team supporting multiple entertainment verticals such as music, gaming, electronics, television, and film.

• You will be involved in deep-diving into complex datasets, developing insightful visualizations, and delivering actionable recommendations.

• The role requires a strong interest in data storytelling, the ability to monitor performance metrics, and a mindset for continuous improvement in analytics methodologies.

• You'll work in a collaborative environment where you'll help bring data to life to empower business leaders across various Sony divisions.

• With this hybrid opportunity (2 days on-site), you’ll enjoy a balanced mix of remote work flexibility and team collaboration at the Culver City office.

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Qualifications:

• At least one year of experience using SQL for querying and data manipulation.

• A minimum of one year in a data analytics or business analytics role is required.

• Ability to navigate and analyze large, complex datasets with a keen eye for accuracy.

• Deep understanding of the data analysis lifecycle—from extraction to visualization and presentation.

• Strong interpersonal and communication skills to work cross-functionally with technical, analytical, and business teams.

• Proficient in creating engaging presentations and reports that communicate complex information in an accessible manner.

• Experience with business intelligence platforms such as Tableau or Domo.

• Highly organized and detail-oriented, with the ability to identify inconsistencies in data and maintain data integrity.

• Possesses an entrepreneurial spirit with the ability to work autonomously and handle ambiguity.

• Holds a Bachelor’s degree (preferably in Data Analytics, Computer Science, Statistics, or a related field).

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Additional Info:

• The role offers not only competitive pay and bonus opportunities (annual bonus target of 7%) but also a comprehensive employee benefits package designed for long-term support.

• Benefits include health (medical, dental, vision), life, and disability insurance coverage, as well as fertility assistance, behavioral health programs, and adoption/surrogacy support.

• Financial perks include a robust 401(k) plan with company match, employee stock purchase plans, and education and student loan assistance programs.

• Additional voluntary benefits such as legal support, identity protection, accident insurance, and hospital indemnity are available.

• Paid leave benefits include vacation, sick days, holidays, and parental/caregiver leave (up to 12 weeks). Special leave periods include Summer Fridays and a company-wide winter holiday closure.

• Employees are encouraged to join various Employee Business Resource Groups (EBRGs) to promote inclusion and collaboration.

• Sony supports a flexible work culture and offers remote/hybrid arrangements depending on role and location.

• The company is committed to diversity, equity, and inclusion. All qualified individuals, regardless of race, gender identity, sexual orientation, religion, disability, or veteran status, are encouraged to apply.

• Accommodations for people with disabilities are available throughout the application process, reflecting Sony's inclusive hiring values.

• For employees working from certain Sony offices, COVID-19 vaccination may be required, with exemptions considered based on religious or medical grounds.

• Compensation range is $95,000 to $105,000 annually, based on qualifications and other factors.

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Roles & Responsibilities (Expanded):

• Data Exploration & Design

  • Assist in designing analytical frameworks for solving business problems across Sony’s diverse entertainment verticals.

  • Understand data structures to support the design and implementation of customized analysis approaches.

  • Analyze historical and real-time data to identify trends and make recommendations.

• Visualization & Reporting

  • Build visually compelling dashboards, charts, and graphs using tools like Tableau or Domo.

  • Simplify complex data findings into digestible visuals for stakeholders.

  • Develop reports tailored to the needs of different departments within the company.

• Performance Monitoring

  • Track and interpret key performance indicators (KPIs) and other metrics to measure the impact of initiatives.

  • Conduct root cause analyses to support strategic planning.

  • Share real-time alerts or performance summaries when deviations or opportunities are found.

• Decision Support

  • Provide actionable insights that influence operational and strategic decisions across Sony’s product and content offerings.

  • Help stakeholders understand the implications of findings and how they can act upon them.

  • Offer recommendations grounded in data to improve existing workflows or strategies.

• Efficiency & Improvement

  • Identify ways to streamline existing data processes and analytics workflows.

  • Support automation of routine reports and dashboards.

  • Recommend new tools or methodologies to enhance team productivity.

• Cross-Functional Collaboration

  • Coordinate with internal stakeholders from music, film, gaming, electronics, and corporate functions.

  • Collaborate with data engineers and other technical teams to ensure robust data pipelines.

  • Act as a liaison between analytics and business teams to translate insights into action.

• Data Quality Management

  • Ensure data cleanliness and integrity before conducting analysis.

  • Implement validation checks to detect discrepancies and anomalies.

  • Establish best practices for documentation and reproducibility.

• Learning & Development

  • Stay updated on emerging trends in data analytics, machine learning, and entertainment analytics.

  • Actively participate in internal knowledge-sharing initiatives and training.

  • Explore opportunities for certification or advanced learning to enhance personal growth.

• Ethical Responsibility & Trustworthiness

  • Uphold Sony’s standards of integrity and trust in handling sensitive information.

  • Adhere to ethical guidelines and data privacy rules throughout analysis processes.

  • Foster a culture of honesty and ethical decision-making.

• Domain Enthusiasm

  • Bring a passion for entertainment—music, TV, gaming—and leverage that excitement in your analytical work.

  • Contribute ideas that align with Sony’s mission of creating emotional connections through technology and creativity.

  • Be a voice in brainstorming sessions around how data can enhance user experiences and drive business goals.

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Preferred Skills (Nice to Have):

• Basic understanding of Python for analytical tasks and data modeling.

• Familiarity with how data flows in the entertainment industry (streaming, licensing, consumer behavior).

• Exposure to marketing analytics techniques such as cohort analysis, targeting segmentation, and multivariate testing.

• Comfort with data engineering fundamentals to better understand back-end data infrastructure.

• Experience in designing and evaluating A/B experiments to measure the impact of content, pricing, or product features.

Please click here to apply.

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