Job Title: Full Stack Data Analyst

Location: Remote in the US

Our client is devoted to delivering high-caliber journalism and groundbreaking marketing strategies delivering concrete results. They are looking for a Full Stack Data Analyst to enhance their Business Intelligence Team as they navigate further growth and transformation while supplying trusted news and information across America.

As a Full Stack Data Analyst, you’ll play a key part in using data to help the company make smart decisions in their media and publishing work. You’ll team up with different groups, using your skills in digging into data, handling databases, coding, creating visualizations, and predicting trends. If you’re a versatile data pro who loves diving into the world of data science and wants to make a real difference in the digital news media scene, this may be the role for you.

Responsibilities:

Programming and Automation:

• Leverage programming languages such as Python or R to automate data workflows, devise customized data tools, and elevate analytical processes.
• Construct applications driven by data to furnish teams with on-the-fly insights.

Data Visualization:

• Craft compelling visual representations and interactive interfaces to convey complex trends, patterns, and vital metrics, fostering effective communication with non-technical stakeholders.

Data Analysis and Reporting:

• Engage in thorough data exploration, employing statistical analysis and predictive modeling to extract actionable insights from diverse data sources.
• Develop cutting-edge reports and dynamic dashboards supporting strategies in news, marketing, product, and business realms.

Model Construction and Machine Learning:

• Collaborate with external experts to construct and implement machine learning models for forecasting audience behavior, content performance, and advertising efficacy.
• Deploy model-driven solutions for predicting LTV, understanding churn patterns, recommending content, personalization, and segmenting users.

Data Governance:

• Ensure the quality, security, and adherence to privacy regulations of data.
• Institute and enforce best practices for data governance throughout the organization.

Collaboration Across Functions:

• Foster seamless collaboration with marketing, news, product, and IT teams, aligning data analytics and data science with overarching subscription business objectives.
• Engage in cooperative efforts spanning divisions to gain insights into diverse consumer cohorts across their lifecycle.
• Coordinate with data engineering counterparts to ensure the scalability and reliability of data pipelines.

Database Management:

• Architect and uphold robust database structures (BigQuery, PostgreSql) to streamline data handling and retrieval.
• Formulate and refine intricate ETL processes, safeguarding data integrity and accessibility

Qualifications:

• 10+ years of experience in roles like full stack data analyst or equivalent, with a focus on data science and constructing models.
• Proficiently wield data analysis tools and languages (e.g., Python, R, SQL).
• Exhibit effective communication and collaboration skills.
• Demonstrate the ability to work independently or seamlessly within a team in a dynamic media environment.
• Familiarity with data governance, privacy regulations, and trends in the media industry adds value.
• Mastery in using data visualization tools (e.g., Tableau, Power BI, DOMO) and front-end development technologies (e.g., HTML, CSS, JavaScript).
• Possess extensive knowledge in database systems, ETL processes, and data warehousing; experience with BigQuery is a notable advantage.
• Proven history of developing, evaluating, and deploying machine learning models.

Comp: 130-150k base

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