Remote Part‑Time Data Analyst – careerzynith Streaming Services – Data Entry, Insight Generation & Business Impact

About careerzynith – Pioneering the Future of Streaming Entertainment

careerzynith is a global leader in direct‑to‑consumer streaming, delivering premium storytelling across a portfolio of beloved platforms. From blockbuster series to live sports, careerzynith’s suite of streaming services (careerzynith+, careerzynith Stream, and careerzynith Sports) reaches millions of households worldwide, shaping how audiences engage with content. As the industry continues to evolve, careerzynith invests heavily in data‑driven decision‑making, empowering teams to turn raw information into strategic advantage. Join a forward‑thinking organization where curiosity, creativity, and analytical rigor are celebrated every day.

Role Overview – Data Analyst (Remote, Part‑Time)

careerzynith’s Endorser Lifecycle Investigation group is seeking a talented Data Analyst to support the rapid growth of its streaming ecosystem. This remote, part‑time position focuses on data entry, exploratory analysis, and storytelling that fuels product, marketing, and finance strategies. You will collaborate with cross‑functional partners—including Product, Finance, Marketing, and Business Operations—to surface actionable insights that drive subscriber acquisition, retention, and overall business performance.

Key Responsibilities

• Translate business questions into SQL queries: Design precise cohort definitions, calculations, filtering criteria, and aggregations to extract reliable data sets.
• Communicate complex patterns: Present findings to audiences ranging from technical analysts to senior executives through clear oral presentations and well‑crafted written reports.
• Partner with research teams: Work closely with other analytics groups to evaluate the performance of core business drivers across acquisition, engagement, and advertising domains.
• Build and maintain dashboards: Develop interactive visualizations in Tableau and Looker that enable real‑time monitoring of key metrics, support ad‑hoc exploration, and provide self‑service tools for stakeholders.
• Collaborate with product and finance partners: Identify opportunities for improved subscriber lifecycle management, propose data‑backed recommendations, and help shape strategic roadmaps.
• Data governance and quality: Define data requirements, oversee data modeling, and enforce best practices for data normalization, cleansing, and validation.
• Support cross‑functional initiatives: Contribute analytical expertise to special projects, A/B tests, and predictive modeling efforts that influence company‑wide decisions.

Essential Qualifications

• Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, Business, or a related quantitative discipline.
• Approximately 3+ years of hands‑on data analysis experience, preferably in a fast‑paced, consumer‑focused environment.
• Strong logical reasoning skills with the ability to apply business logic to data investigations and recommendations.
• Proficiency in SQL, including complex joins, window functions, and sub‑queries.
• Demonstrated experience working with large data sets and synthesizing insights from multiple sources and tools.
• Hands‑on expertise with data visualization platforms such as Tableau or Looker; ability to design intuitive, actionable dashboards.
• Excellent written and verbal communication skills; comfortable presenting to both technical and non‑technical audiences.
• Solid problem‑solving abilities: diagnose root causes, develop rapid prototypes, and articulate findings with confidence.
• Experience defining data requirements, data models, and data quality standards (normalization, cleansing, validation).

Preferred Qualifications

• Background in the streaming media industry or experience with subscription‑based products.
• Track record of creating and delivering data stories that influence senior leadership decisions.
• Familiarity with statistical programming languages (Python, R) and advanced analytics techniques (regression, clustering, time‑series forecasting).
• Exposure to cloud data platforms (Snowflake, BigQuery, Redshift) and modern data pipelines.
• Experience collaborating with product managers on feature impact analysis and roadmap prioritization.

Core Skills & Competencies

• Analytical mindset: Ability to break down ambiguous problems, formulate hypotheses, and test them rigorously.
• Data storytelling: Transform raw numbers into compelling narratives that drive action.
• Collaboration: Work effectively with multidisciplinary teams, respecting diverse perspectives.
• Attention to detail: Ensure data accuracy, consistency, and reproducibility across all deliverables.
• Adaptability: Thrive in a remote, part‑time setting while managing multiple priorities.
• Continuous learning: Stay current with emerging analytics tools, industry trends, and best practices.

Career Growth & Learning Opportunities

careerzynith invests in its people. As a Data Analyst, you will have access to:

• Mentorship from senior data scientists and business leaders.
• Internal training programs covering advanced analytics, machine learning, and data engineering.
• Opportunities to lead cross‑functional projects and influence product strategy.
• Clear career pathways toward senior analyst, analytics manager, or data science roles.
• Participation in industry conferences, webinars, and knowledge‑sharing communities.

Work Environment & Culture at careerzynith

careerzynith champions an inclusive, innovative, and flexible workplace. Our remote‑first philosophy empowers employees to work from anywhere in the United States while staying connected through virtual collaboration tools, regular team huddles, and quarterly in‑person meet‑ups. We celebrate diversity of thought, encourage curiosity, and recognize contributions that drive both business outcomes and cultural enrichment.

Compensation, Perks & Benefits (General Overview)

While exact figures vary by location and experience, careerzynith offers a competitive salary range that aligns with market standards for part‑time analytics talent. In addition to base pay, eligible employees may receive:

• Performance‑based bonuses and long‑term incentive opportunities.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plans with company matching contributions.
• Paid time off, holidays, and flexible scheduling.
• Professional development stipend for courses, certifications, or conferences.
• Access to careerzynith streaming services for personal enjoyment.
• Employee assistance programs and wellness resources.

How to Apply

If you are passionate about turning data into strategic insight and want to make an impact at a leading streaming organization, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you’re excited about the role at careerzynith.

Apply Now

Join careerzynith – Shape the Future of Entertainment

At careerzynith, every data point tells a story, and every story helps us deliver unforgettable experiences to millions of viewers worldwide. By joining our Endorser Lifecycle Investigation team, you’ll play a pivotal role in shaping product strategy, optimizing subscriber journeys, and driving business growth—all from the comfort of your home office. Take the next step in your analytics career and become part of a vibrant, purpose‑driven community that values curiosity, collaboration, and continuous improvement.