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Director, Data Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: TouchTunes
Full Time position
Listed on 2026-03-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

Location: New York, NY (currently hybrid with up to 50% remote)

Your Mission In The Data Analytics Team

The Director, Data Analytics will lead the development, implementation, and optimization of Touch Tunes’ analytics strategy to foster an insights‑led organization. This role will oversee the analytics and data science functions in establishing & maintaining business reporting via a variety of analytical tools, developing measurement frameworks for new and existing initiatives, and promoting a culture of data literacy & analytical rigor.

The Director will partner closely with senior stakeholders across the business and bring insights into action by enabling strategic decision‑making and improving operational efficiency.

Your Day-to-day Analytics Strategy and Execution
  • Develop and implement a comprehensive analytics roadmap aligned with company priorities.
  • Work closely with Product leaders to conduct A/B tests and evaluate feature performance.
  • Partner with data engineer to manage the set up and maintenance of mobile events to support analytics.
  • Collaborate with stakeholders in FP&A, Marketing, Sales, Advertising and Business Development to plan data needs, KPIs & measurement for new strategic initiatives.
Insights Generation
  • Lead the design, development, and delivery of analytics dashboards, reports, and insights to guide strategic and operational decisions.
  • Translate complex data findings and measurements into clear, actionable recommendations for business stakeholders.
Team Leadership
  • Manage, mentor, and grow a high‑performing analytics team, including data analysts, data scientists, and functional analytics resources.
  • Promote a collaborative, well‑balanced team culture that is results‑driven, technically proficient and business‑minded.
Data Infrastructure & Tools
  • Partner with Data Engineering, Architecture and IT to ensure analytics platforms and integrations meet business needs.
  • Shape a quickly evolving self‑service analytics & visualization strategy by adopting AI‑forward tools.
Data Governance & Quality
  • Support data governance processes to ensure accuracy, reliability, and compliance.
  • Establish and monitor data quality standards that enhance trust in analytics outputs.
  • Drive adoption of data and analytics best practices across the organization.
Your Profile

Required Qualifications
  • Bachelor’s degree in Business, Data Science, Statistics, Computer Science, or related field;
    Master’s degree preferred.
  • 8+ years of experience in analytics, data science, or business intelligence, with at least 4 years in a leadership or management role.
  • Deep understanding of business performance drivers and ability to connect initiatives (pricing, marketing, etc.) and macro factors with movements in key drivers.
  • Strong skills in data visualization, statistical analysis, and persuasive storytelling with data.
  • Proven ability to translate technical, data‑dense work streams into clear conclusions & recommendations that drive business decisions.
  • Track record of championing end‑to‑end analytics for new or novel initiatives.
  • Strong interpersonal skills with the ability to influence and align cross‑functional teams.
Required Skills/Competencies
  • Strong proficiency in SQL or Python in a data science and/or analytics‑oriented context.
  • Experience with a leading data warehouse/data lake solution (e.g.: Databricks, Snowflake, S3/Redshift).
  • Experience with Customer Data Platforms, Marketing technology & product analytics tools (e.g.: Segment, Mixpanel/Amplitude, Braze/Appsflyer).
  • Practical understanding of analytical methodologies & measurement frameworks.
  • Knowledge of emerging trends in AI‑driven data management, analytics and insights generation.
Preferred Skills/Competencies
  • Strong proficiency in Excel.
  • Experience with financial modeling.
  • Familiarity with interactive data visualization tools (Tableau, Power BI, Amazon Quick Suite).
  • Experience working on or closely with a Data Engineering team.
  • Experience with a mobile app‑centric product.
What’s In It For You

At Touch Tunes, your work impacts our customers as part of interesting projects that transform the in‑venue entertainment industry. We foster open communication and collaboration across all levels, with…

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