Data Analyst

Good Apple

New York (NY)

On-site

USD 60,000 - 80,000

Full time

14 days+

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Job summary

Good Apple is looking for a Data Analyst in New York City to act as a strategic partner to clients and internal media teams. This role involves collaborating to create measurement plans, analyzing data, and presenting insights to clients. The ideal candidate has a Bachelor's degree and a keen interest in media analytics.

Successful candidates will have a strong analytical background, excellent communication skills, and familiarity with data tools. Good Apple values creative problem-solving and attention to detail.

Qualifications

  • 0-2 years of marketing or analytics experience.
  • Fast learner, comfortable using advanced SQL.
  • Meticulous attention to detail.

Responsibilities

  • Collaborate with internal teams to translate business needs into measurement plans.
  • Provide ad-hoc data science-driven regression analyses.
  • Create clean, effective, and actionable presentations for clients.

Skills

Analytical skills
Clear communication
Creative problem-solving
Data visualization tools
SQL

Education

Bachelor's Degree with 3.0 GPA or equivalent work experience

Tools

Google Campaign Manager
Looker
Tableau
Snowflake
Amazon Web Services

Job description

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
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