Senior Data Analyst - Paid Sharing and Content Security

Duration: 7 Months Contract

Schedule: Monday- Friday

Job Description:

• Content Security Fraud and Paid Sharing Analytics team as a Senior Data Analyst. You will be a key player in enhancing the security features of client streaming services.
• This role involves serving product, engineering, and business strategy partners through comprehensive data analysis and insight generation. You will collaborate closely with data engineering to tackle data challenges and advance our content security practices and products

Responsibilities:

• Convert ambiguous stakeholder queries from Product, Engineering, Business Strategy, Marketing, etc., into structured data requirements and analyses.
• Provide actionable, data-driven recommendations to stakeholders through detailed analysis.
• Utilize SQL and scripting languages to analyze both structured and unstructured data.
• Collaborate with data engineers to ensure the accuracy and quality of data required for analysis.
• Present insights effectively using data visualization tools or oral presentations.
• Design and execute A/B testing to evaluate content security features and enhancements.

Experience:

• Exceptional curiosity, analytical skills, and a drive for insights that impact business outcomes.
• 5+ years as an analyst with proficiency in SQL, Python, or R for complex querying and analysis.
• Proficiency with tools such as Matplotlib, Tableau, Looker, MicroStrategy, or Plotly.
• Proven ability to manage end-to-end analytics projects, from initial requirements to impactful outcomes.
• Strong ability to build relationships with teammates, business partners, and technical colleagues.
• Highly motivated and capable of working independently.
• Experience with A/B testing methodologies for digital products

Skillsets:

• 5+ years as an analyst with proficiency in SQL, Python, or R for complex querying and analysis.
• Proficiency with tools such as Matplotlib, Tableau, Looker, MicroStrategy, or Plotly.

Nice To Haves

• A Master s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or related field
• Background in streaming media or subscription-based products.
• Experience with analytics for application-based products.
• Familiarity with the tech Industry.

Education:

• Bachelor s degree in Engineering

Licenses: N/A

Certifications: N/A

Shift Hours: 8:00 AM to 5:00 PM

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.