Data Science Analyst

April 11

TuneIn

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TuneIn brings you live news, sports, music, podcasts and radio from around the world.

Radio • Content • Audio • Sports • Music

51 - 200

Description

Join our passionate Data Science team and participate in shaping TuneIn's product and business strategy through data-driven decision-making. As a Data Science Analyst, you'll have the opportunity to work on projects that directly impact our users' listening experience and contribute to the continuous improvement of our platform. The TuneIn Data Science team seeks to deeply understand our users' listening experience on our service and to recommend and test improvements we might make to content offerings and user experience to continuously improve. We are responsible for understanding, validating, and documenting all of our data from raw messaging generated by users all the way through processed and aggregated data used by our senior executives to make fundamental decisions about our business. Create reporting solutions (e.g. dashboards) for business leaders and team members, turning data into an actionable and compelling narrative with visualizations (e.g., charts, graphs, tables) - including the design and development of data tables to support them. Interpret data, analyze results, and provide ongoing reports to inform our strategy going forward. Design and implement metrics representing the quality, value, and performance of our business for consumption across the company at all levels. Drill into data anomalies to understand and communicate the root cause of issues, while identifying areas where additional data would resolve ambiguities in our understanding. Synthesize and share how the TuneIn user experience is represented in our data in fine detail. Analyze product and business success metrics, monitoring and surfacing drivers of KPIs.Use predictive modeling to increase and optimize customer experiences and revenue generation.

Requirements

• 3+ years of analytical work experience in consulting, business intelligence, analytics, or an equivalent analyst position. • Bachelor's degree in math, statistics, engineering, economics, or other similar disciplines. • 3+ years experience in SQL; experience with Python a plus. • Experience with project management, data visualization tools, and platforms. • Experience with data-driven storytelling and data-driven insights. • E-commerce, subscription, and advertisement data experience is a plus. • Consumer mobile applications experience is a plus. • Able to work independently and multitask. • Team player who is an excellent communicator, collaborator, and quick learner. • Proactive person, who can drive own projects. • Someone who values the integrity of their work, sanity checks analyses before drawing conclusions, and pays attention to the details of data visualizations. • Comfortable with ambiguity.

Benefits

• Health and Wellness Reimbursement • Accounting Reimbursement Program • Continuous Learning Support • Connectivity Allowance • Technology Provision • Home Office Upgrade Assistance • Remote-friendly approach with a commitment to safety, flexibility, and empathy.