Business Data Analyst

$104,000 - $130,000/Yr

iHeartMedia - New York, NY

posted 2 months ago

Full-time - Mid Level
New York, NY
Broadcasting and Content Providers

About the position

iHeartMedia is seeking a highly motivated and analytical Business Data Analyst to join our team. In this role, you will play a crucial part in transforming raw data into actionable insights that drive planning recommendations and revenue. You will collaborate with both internal and external stakeholders to understand their data needs, gather and analyze relevant data, and present your findings in a clear and concise manner. Your expertise in data analysis and visualization tools will be essential to identify trends, patterns, and opportunities for optimizing campaigns on behalf of iHeartMedia's marketing partners. As a Business Data Analyst, your responsibilities will include data collection and analysis, where you will gather data from various sources, including internal sources, external vendors, and market research. You will clean, validate, and preprocess data to ensure accuracy and consistency, applying statistical and analytical techniques to explore and interpret data, uncover trends, and identify correlations. You will also be responsible for developing informative and visually appealing reports, dashboards, and presentations to communicate findings to stakeholders. Using data visualization tools, you will create impactful charts, graphs, and other visuals that highlight key insights and trends. In addition, you will collaborate with different departments to understand their business challenges and translate them into data-driven solutions. Your analytical skills will be crucial in solving complex business problems, optimizing processes, and identifying areas for improvement. You will ensure the accuracy and reliability of data by implementing data quality checks and validation processes, maintaining and updating documentation related to data sources, transformations, and analysis. Effective collaboration and communication are key aspects of this role. You will work closely with cross-functional teams, including marketing, sales, operations, and externally facing clients to gather requirements, understand business objectives, and present findings in a clear and concise manner. You will need to communicate technical information to non-technical audiences effectively, ensuring that insights are accessible and actionable for all stakeholders.

Responsibilities

  • Gather data from various sources, including internal sources, external vendors, and market research.
  • Clean, validate, and preprocess data to ensure accuracy and consistency.
  • Apply statistical and analytical techniques to explore and interpret data, uncover trends, and identify correlations.
  • Develop informative and visually appealing reports, dashboards, and presentations to communicate findings to stakeholders.
  • Use data visualization tools to create impactful charts, graphs, and other visuals that highlight key insights and trends.
  • Collaborate with different departments to understand their business challenges and translate them into data-driven solutions.
  • Utilize analytical skills to solve complex business problems, optimize processes, and identify areas for improvement.
  • Ensure the accuracy and reliability of data by implementing data quality checks and validation processes.
  • Maintain and update documentation related to data sources, transformations, and analysis.
  • Work closely with cross-functional teams to gather requirements, understand business objectives, and present findings.

Requirements

  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, or a related field.
  • 2+ years of experience in a data analyst or similar role, preferably in a business setting.
  • Proficiency in SQL for data extraction and manipulation.
  • Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
  • Experience with statistical analysis software (e.g., R, Python) is a plus.
  • Familiarity with machine learning concepts and techniques is desirable.
  • Excellent analytical and problem-solving skills.
  • Strong communication and presentation skills.
  • Ability to translate complex data into actionable insights.
  • Ability to work independently and collaboratively within a team environment.

Nice-to-haves

  • Experience with Google Cloud Platform.
  • Familiarity with machine learning concepts and techniques.

Benefits

  • Employer sponsored medical, dental and vision with a variety of coverage options
  • Company provided and supplemental life insurance
  • Paid vacation and sick time
  • Paid company holidays, including a floating holiday
  • A Spirit day to encourage and allow employees to volunteer in their community
  • A 401K plan
  • Employee Assistance Program (EAP) at no cost
  • A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more!
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