About careerzynith and the Opportunity
careerzynith is a forward-thinking, data-driven organization that partners with leading entertainment brands to unlock the power of information across the music and media landscape. We are passionate about transforming complex datasets into clear, actionable insights that shape the future of entertainment marketing, audience engagement, and digital commerce. Our team operates at the intersection of creativity and analytics, working with streaming platforms, social media ecosystems, and emerging technologies to help global brands make smarter, faster, and more impactful decisions.
We are currently hiring a Manager, Data Analytics to join our dynamic team on a part-time, remote basis. This is an exceptional opportunity for a seasoned analytics professional who is deeply curious about consumer behavior, passionate about the music industry, and eager to influence strategic decision-making across marketing, content, and product teams. The role offers a competitive hourly rate of $18/hour, flexible work hours, and the chance to collaborate with a talented, cross-functional team that values innovation, intellectual curiosity, and measurable impact.
Position Summary
The Manager, Data Analytics will serve as a key strategic partner to cross-functional stakeholders, providing deep analytical expertise, quantitative research, and data-driven storytelling to inform planning, forecasting, and business decisions across music marketing, content discovery, and audience engagement channels. This individual will develop a profound understanding of consumer behavior within the music ecosystem, translate business questions into analytical frameworks, and deliver compelling narratives from large-scale, transaction-level datasets.
The ideal candidate brings not only technical excellence in statistical modeling, machine learning, and big data manipulation, but also strong business acumen, leadership capability, and a genuine passion for music, streaming, and digital culture. If you thrive in a fast-paced, highly collaborative environment and want to make a tangible impact on the way entertainment brands understand their audiences, this role is for you.
Key Responsibilities
- Drive Analytical Innovation: Lead pragmatic approaches to solving complex business problems through data creation, statistical modeling, and advanced analytics. Develop new features by integrating internal and external data sources, and apply segmentation, regression, and classification models to surface meaningful insights.
- Support Strategic Initiatives: Contribute to key business initiatives and emerging opportunities by building analytical models and frameworks that evaluate potential, identify performance drivers, and quantify the impact of environmental and market factors.
- Inform Business Strategy: Apply data mining, quantitative analysis, and data visualization to surface critical themes and answer business questions across diverse functional areas, including product, marketing, and sales.
- Data Engineering & Preparation: Extract, organize, cleanse, and manipulate complex, large-scale datasets from multiple disparate sources. Utilize tools such as PySpark and advanced SQL to efficiently interact with and transform data at scale.
- Apply Machine Learning Techniques: Implement supervised and unsupervised learning methods—including linear and logistic regression, decision trees, and k-means clustering—to derive, validate, and quantify conclusions from data.
- Stakeholder Partnership: Act as the analytical partner for cross-functional stakeholders, identifying opportunities, understanding performance drivers, and conducting deep-dive analyses to deliver actionable, data-driven insights.
- Continuous Reporting & Analysis: Contribute to ongoing reporting and analytical workflows that inform business, product, marketing, and sales decisions across the organization.
- Content & Audience Performance Analysis: Lead performance analysis for product releases, develop and monitor key metrics to measure success, and translate findings into strategic recommendations.
- Statistical Analysis & Pipelines: Perform advanced statistical analysis including KPI deep-dives, behavioral segmentation, and customer journey analysis. Build analytical pipelines for automated, scalable, repeatable, and integrated analysis using modern big data ecosystems such as Databricks, Snowflake, and Google BigQuery.
- Cross-Functional Collaboration: Partner with engineering and product teams to execute on data initiatives, contributing to solution discovery, design, build, and QA processes. Collaborate on data models, database structures, ETL/ELT pipelines, and validation frameworks.
- Leadership & Mentorship: Lead and coach at least one team member, setting clear expectations, defining boundaries, and maximizing impact across the organization.
Essential Qualifications
- Experience: Minimum 3 years of professional experience in data analytics, with at least 3 years in a management or leadership capacity.
- Education: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline.
- Statistical Modeling: Proven experience developing statistical models and analyses in an industry setting for business use cases, with applied knowledge of supervised and unsupervised learning techniques.
- Data Manipulation: Demonstrated skill in manipulating large, transaction-level datasets and interpreting data trends from multiple disparate sources.
- Programming Proficiency: Strong hands-on experience developing sophisticated analytical solutions using scripting languages such as Python or R.
- SQL & Big Data: Mastery of advanced SQL, large-scale data processing, and mathematical computing languages such as PySpark.
- Distributed Systems: Experience with data mining in distributed systems such as Spark or Databricks.
- Visualization Tools: Proficiency in data analysis and visualization platforms such as Tableau or Looker.
- Scalable Solutions: Experience developing analytical software that scales analyses efficiently across large datasets.
- Industry Knowledge: Prior experience working with media performance data and data within the entertainment or media industry.
- Documentation Skills: Solid experience documenting data requirements, assumptions, and business rules.
- Communication: Strong ability to communicate complex analytical concepts to diverse audiences, including non-technical stakeholders.
- Metric Design: A passion for building clear, concise, and meaningful metrics that drive business decisions.
- Business Acumen: Demonstrated track record of using data to deliver business value and presenting data-driven insights to business audiences.
- Collaboration: Proven experience influencing and collaborating with stakeholders across an organization.
- Time Management: Strong organizational skills with the ability to work in a high-paced environment across multiple priorities.
- Attention to Detail: Meticulous attention to detail without losing sight of broader strategic objectives.
- Independence: History of working independently, demonstrating creativity, and consistently delivering results.
- Music Passion: Genuine enthusiasm for music and the music industry.
- Platform Expertise: Strong experience with music streaming services (Spotify, Apple Music, Amazon Music, YouTube), social media platforms (TikTok, Facebook, Instagram), and emerging technologies such as digital assistants and voice interfaces.
Preferred Qualifications
- Experience leading data-driven projects across a wide cross-functional landscape.
- Experience assembling, managing, and motivating teams in strategic support functions.
- Master's degree in a quantitative field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline.
Skills and Competencies for Success
To excel in this role, you will need a unique blend of technical depth, business insight, and interpersonal finesse. You should be equally comfortable writing complex PySpark scripts as you are presenting strategic recommendations to senior leadership. Critical thinking, intellectual curiosity, and a relentless focus on data quality and accuracy are essential. You should be a natural storyteller who can distill complex analytical findings into clear, compelling narratives that inspire action. Additionally, you should demonstrate leadership maturity, the ability to mentor junior team members, and a collaborative spirit that thrives in cross-functional environments.
Career Growth and Learning Opportunities
At careerzynith, we believe in investing in our people. As a part-time team member, you will have access to professional development resources, mentorship from senior analytics leaders, and opportunities to expand your skills across cutting-edge tools and platforms. We encourage continuous learning through internal knowledge-sharing sessions, access to online training programs, and exposure to a wide range of business challenges. For high-performing team members, there are clear pathways to expanded responsibilities, full-time opportunities, and leadership roles within the organization.
Work Environment and Company Culture
careerzynith fosters a remote-first, inclusive, and highly collaborative culture. We value diversity of thought, background, and experience, and we are committed to creating an environment where every team member feels empowered to contribute their best work. Our team operates with a strong sense of ownership, accountability, and mutual respect. We celebrate curiosity, creativity, and the courage to challenge conventional thinking. Although we work remotely, we prioritize regular team check-ins, virtual social events, and transparent communication to ensure everyone stays connected and engaged.
Compensation, Perks, and Benefits
- Hourly Rate: $18/hour, with consistent part-time hours and flexibility around your schedule.
- Remote Work: Work from the comfort of your home with a flexible schedule that supports work-life balance.
- Professional Development: Access to learning resources, training programs, and mentorship opportunities.
- Collaborative Team: Join a supportive, innovative team that values your contributions and invests in your growth.
- Meaningful Work: Contribute to projects that have a real impact on how entertainment brands connect with audiences globally.
- Inclusive Culture: Be part of a diverse, welcoming organization that celebrates individuality and promotes equity.
How to Apply
If you are a data-savvy, music-enthusiastic analytics professional ready to make an impact in a fast-paced, remote environment, we would love to hear from you. Bring your technical expertise, your creative thinking, and your passion for the entertainment industry to careerzynith, and help us shape the future of data-driven decision-making. Apply today to join a team that values your skills, supports your growth, and empowers you to do your best work—wherever you are.