Senior Data Analyst - remote

Mather Economics LLC; Snowflake (AZ); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Data Analyst to join its analytics team, where you'll leverage cutting-edge technologies to optimize revenue and enhance customer engagement for media clients. This role involves creating dynamic dashboards, conducting data analysis, and developing robust data pipelines. You'll collaborate with diverse teams to translate client needs into actionable insights, all while staying updated with industry trends. If you're passionate about data and eager to make a significant impact in the media sector, this is the perfect opportunity for you.

Benefits

Medical, dental, and vision insurance

401(k) with company match

Generous paid time off

Flexible work arrangements

Qualifications

• 3+ years of experience in a data analyst role with a focus on web analytics.
• Proven expertise in working with large datasets and extracting actionable insights.

Responsibilities

• Create dashboards and visualizations using Tableau for data-driven insights.
• Design and maintain data pipelines using SQL and Python in AWS.

Skills

SQL

Python

Data Visualization

Analytical Skills

Communication Skills

Education

Bachelor's degree in Statistics

Master's degree in a quantitative field

Tools

Tableau

Databricks

AWS

GitHub

Job description

Mather Economics is seeking a highly skilled and motivated Senior Data Analyst to join our analytics team. You will play a crucial role in productizing actionable insights from data to optimize revenue, pricing strategies, and customer engagement for our media clients. This is an exciting opportunity to work with cutting-edge technologies and make a significant impact on the success of leading news and media organizations.

Responsibilities:

• Create compelling and interactive dashboards and visualizations using Tableau to communicate data-driven insights and recommendations to both internal teams and external clients.
• Lead the analysis of data from various sources, including web analytics, subscription data, and content performance metrics, to identify key trends, user behaviors, and opportunities for improvement for our clients.
• Design, develop, and maintain robust data pipelines using SQL and Python to extract, transform, and load data from various sources into our data lake environment in AWS, leveraging Databricks for scalable processing.
• Build and optimize complex SQL queries to perform in-depth analysis and generate meaningful datasets for reporting and further investigation.
• Develop and implement data quality checks and monitoring processes to ensure the accuracy and reliability of our analytics data.
• Utilize GitHub for version control, collaboration, and documentation of data pipelines, scripts, and analytical projects, ensuring well-organized and maintainable code repositories.
• Document all processes, methodologies, and technical workflows thoroughly, maintaining clear and comprehensive documentation to support team collaboration and knowledge sharing.
• Collaborate with consultants, product managers, and engineers to understand client business needs and translate them into analytical requirements.
• Conduct ad-hoc analysis to answer specific business questions and provide data-backed recommendations related to pricing, subscription models, and content strategy.
• Stay up-to-date with the latest trends and best practices in web analytics, data analysis, and visualization, particularly within the media and publishing industry.

Requirements

Qualifications:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus.
• Minimum of 3+ years of experience in a data analyst role, with a strong focus on web analytics or business intelligence.
• Proven expertise in working with large datasets and extracting actionable insights.
• Advanced proficiency in SQL for data querying and manipulation across large datasets.
• Strong programming skills in Python for data processing and automation.
• Hands-on experience with Databricks for scalable data analytics in a cloud environment.
• Excellent data visualization skills using Tableau, with the ability to create clear, concise, and impactful dashboards.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Strong communication and presentation skills, with the ability to effectively communicate technical findings to both technical and non-technical audiences.

Bonus Points:

• Experience with digital analytics, subscription analytics, and revenue management within the media industry.
• Familiarity with statistical modeling and A/B testing methodologies.
• Knowledge of data warehousing principles and ETL processes.
• Experience with machine learning techniques.
• Solid understanding of cloud platforms, particularly AWS and Google BigQuery, and experience with related data services (e.g., S3, Snowflake).

If you are a passionate and results-oriented data analyst with a strong background in data analysis and the technologies listed above, and an interest in the news and media industry, we encourage you to apply! Join our team and help us empower media companies to thrive in the digital age.

At Mather Economics, we value our employees and are committed to their well-being. We offer a comprehensive benefits package, including:

• Health & Wellness: Medical, dental, and vision insurance options
• Financial Security: 401(k) with company match, life insurance, and disability coverage
• Work-Life Balance: Generous paid time off, holidays, and flexible work arrangements

Join us and be part of a team that supports your success—personally and professionally!