As a Data Analyst, you'll partner with clients and media teams, solve problems through data analysis, create dashboards, and ensure effective media solutions.
Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner.
As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients.
Key Responsibilities:
- Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows
- Democratize data and insights through data integration and the use of visualization tools
- Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure
- Turn business requirements into metrics and implement tracking solutions to measure those metrics
- Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization
- Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients
- Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet
- Create clean, effective, and actionable presentations for clients and internal teams
- Excellent analytical skills and the ability to plainly communicate results to clients and internal teams
- Lead and contribute to processes (technical or business) improvements for reporting and analysis
- Diligently see solutions through to the end and be meticulous on QA
Desired Skills/Qualifications:
- Bachelor's Degree with 3.0 or higher GPA or equivalent work experience
- 0-2 years of marketing or analytics experience
- Creative problem-solving skills and clear communication of results to a non-technical audience
- Excellent communication skills to both internal teams and clients – presenting to clients is an expectation
- Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture
- Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku)
- Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus
- Meticulous attention to detail
- Background in a logic-based field or experience in a logic-focused role is ideal
- Experience with Amazon Web Services is a plus
- Programming experience, Python in particular, is a plus
Similar Jobs
Consumer Web • Gaming • Healthtech • Kids + Family • Software • Virtual Reality • Biotech
Support multimodal neuroscience research by programming data handling and analysis pipelines, implementing QA/curation protocols, testing processing/feature generation, maintaining databases, assisting data collection (MRI/EEG/physiology/behavior), contributing to literature reviews and manuscripts, and presenting at team meetings.
Top Skills:
ActigraphyEegEye-TrackingMatlabMriPythonR
Fintech • Machine Learning • Mobile • Security • Software
Lead credit risk strategy for MyPay including underwriting, limit assignment, loss forecasting, and experimentation. Build predictive models, design and analyze A/B tests, develop dashboards, and collaborate cross-functionally. Manage and mentor a team of Data Analysts to execute analytics and drive risk-informed product decisions.
Top Skills:
A/B TestingNumpyPandasPythonScikit-LearnSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.
Top Skills:
AWSPythonRSnowflakeSparkSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
