Data Analyst

SUMMARY/OBJECTIVE

This position will be responsible for delivering OTT reporting, analysis and insights derived from a variety of data sources to partners across the business.

Working in an agile manner to deliver meaningful value to internal customers and be responsible for managing their own time and work streams.

Collect and analyze data from various sources to identify trends and patterns. interpret trends or patterns in complex data sets. Translate complex data analyses into actionable insights for business stakeholders. Build monthly and quarterly business review (MBR/QBR) presentations following the expected client format and content.

Work on an ETL pipelines as well as analytics, insights and visualizations. Must have a strong grasp of best practices for data warehousing and Business Intelligence and demonstrate the ability to tell a story with the data specific to offered services.

The output of this role will allow the OTT Streaming Team to monitor, report and measure the business and progress towards our goals

ESSENTIAL FUNCTIONS:

●     Responsible for collecting, processing, and analyzing data to help the organization make informed business decisions.

●     Work with various departments to understand their data needs.

●     Monitor KPIs dashboards and reports for SLAs.

●     Analyze data from dashboards and reports based on business priorities, extract actionable insights, and process improvement recommendations.

●     Build monthly and quarterly business review presentations following the expected client format and content.

●     Provide insights that drive strategic initiatives.

●     Leverage Google's vast data resources to identify trends, optimize processes, and support the portfolio's mission.

●     Ensure data integrity and accuracy through meticulous data management practices.

●     Create visualizations for easy data interpretation.

●
Collaborate with Google stakeholders to determine data analysis needs

●     Monitor KPI dashboards and reports to ensure Service Level Agreements (SLAs) are met

●     Collect and analyze data from various sources to identify trends and patterns.

●     Develop and maintain databases and data systems to ensure data integrity and accuracy.

●     Create and generate reports and visualizations to present findings to stakeholders.

●     Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

●     Perform data cleaning, validation, and transformation to prepare data for analysis.

●     Monitor and evaluate the effectiveness of data-driven strategies and make recommendations for improvements.

●     Stay updated with the latest data analysis tools, techniques, and best practices.

●     Identify, analyze, and interpret trends or patterns in complex data sets. Translate complex data analyses into actionable insights for business stakeholders.

●     Work with management to prioritize business and information needs.

●     Locate and define new process improvement opportunities.

●
Ensure compliance with data privacy regulations and best practices in data management.

JOB SPECIFICATIONS

●     Bachelor's degree in Computer Science, Statistics, or a related field. A Master's degree is a plus.

●     2-4 years of experience in data analysis or a related field.

●     Experience with SQL, Python, data visualization tools and statistical software is preferred.

●     Experience in Google tools, dashboards is a plus.

●     Experience in the media/broadcasting work or OTT industry is highly preferred.

●     Knowledge / Experience within the streaming video / media industry business

●
Proficiency in data analysis tools and software, such as SQL, Python, R, and sheets.

●     Experience working collaboratively with source code control (e.g. GitHub) strongly preferred

●     Strong analytical and problem-solving skills with the ability to interpret data sets.

●     Excellent communication skills to effectively present data insights to non-technical stakeholders.

●     Knowledge of data visualization tools like Tableau, Power BI, or similar.

●     Understanding of statistical methods and predictive modeling techniques.

●     Attention to detail and a high level of accuracy in work.

●
Ability to work independently and as part of a team in a fast-paced environment.
exercising ownership of projects from start to finish

●     Strong organizational skills and the ability to manage multiple projects simultaneously.

●     Strong presentation skills are essential, including presenting in meetings and data visualization

●     Experience building automated reports and analyses, from development to production

●     General experience working with a major cloud provider (e.g. AWS, Azure, Google Cloud)

●     Experience working within a heavily regulated industry strongly preferred

●     Experience in the media/broadcasting work or OTT industry is highly preferred.

Benefits and Compensation

• The position is full time, exempt
• The annual compensation is $65,000 - $110,00 depending on experience
• Comprehensive health, dental, and vision insurance
• Short/Long Disability Insurance
• Life Insurance
• Flexible Spending Accounts
• 401(k) plan with company matching
• Generous paid time off (PTO) and paid holidays