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Why careerzynith?
At careerzynith, we are redefining entertainment in the digital age. Our streaming platform brings together beloved stories, cutting‑edge technology, and a global community of fans who expect seamless, personalized experiences. As a leader in the SVOD (Subscription Video on Demand) and In‑Home entertainment space, careerzynith blends a storied legacy of storytelling with the agility of a modern tech company. Joining our team means becoming part of a culture that values curiosity, collaboration, and the relentless pursuit of excellence.
Position Overview
We are seeking a highly motivated, detail‑oriented Remote Part‑Time Data Analyst to support the careerzynith+ Product, Content Curation, and Consumer Experience initiatives. Reporting to the Senior Director of Product Analytics, you will work closely with cross‑functional product teams to collect, integrate, and analyze both qualitative and quantitative data. Your insights will directly influence product roadmaps, content strategy, and the overall customer journey.
Key Responsibilities
- Data Collection & Integration: Gather data from diverse sources—including internal databases, third‑party vendors, and user‑generated feedback—to build comprehensive datasets for analysis.
- SQL Development: Write, optimize, and maintain SQL queries that join multiple data tables, supporting daily operations of the careerzynith+ consumer experience projects.
- Cross‑Team Collaboration: Partner with product managers, engineers, and research teams to translate business objectives into clear data requirements and analytical deliverables.
- Report Creation & Presentation: Produce concise, visually compelling reports, dashboards, and executive summaries that communicate findings to stakeholders across product, marketing, and content teams.
- Project Management: Own assigned analytical projects, conduct quality assurance cycles, and provide status updates to ensure timely delivery within defined timelines.
- Data Governance: Maintain meticulous documentation of data pipelines, schemas, and business rules to guarantee data integrity and reproducibility.
- Stakeholder Support: Respond to ad‑hoc data requests from internal clients, delivering accurate and actionable insights on short notice.
- Industry Trend Monitoring: Stay abreast of emerging SVOD and In‑Home entertainment trends, sharing relevant insights that help shape careerzynith’s strategic direction.
- Collaboration with Snowflake & Databricks Teams: Work alongside data engineering groups to leverage cloud‑based data warehouses and analytics platforms for large‑scale data processing.
Essential Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
- Proven experience with SQL, including the ability to write complex joins and aggregate functions.
- Strong quantitative reasoning and analytical problem‑solving skills.
- Excellent written and verbal communication abilities, with a talent for turning data into clear, actionable narratives.
- Demonstrated ability to thrive in a fast‑paced environment, managing multiple priorities under tight deadlines.
- Experience working with large datasets and familiarity with cloud‑based data platforms (e.g., Snowflake, Databricks) is highly desirable.
Preferred Skills & Experience
- Hands‑on experience with statistical analysis tools such as SPSS, SAS, R, Python, or Stata.
- Familiarity with survey and research platforms (Qualtrics, SurveyMonkey, etc.).
- Background in quantitative research—either on the client side (e.g., market research firms) or on the product side (e.g., analytics teams).
- Knowledge of data visualization tools (Tableau, Power BI, Looker) to craft interactive dashboards.
- Experience designing and executing A/B tests, cohort analyses, and other experimental methodologies.
- Understanding of subscription‑based business models and the metrics that drive growth (ARPU, churn, LTV, etc.).
Core Competencies
- Analytical Mindset: Ability to dissect complex problems, identify patterns, and propose data‑driven solutions.
- Collaboration: Comfortable working with multidisciplinary teams, translating technical findings into business‑focused recommendations.
- Adaptability: Agile in responding to evolving project scopes, new data sources, and shifting priorities.
- Attention to Detail: Commitment to data accuracy, thorough documentation, and rigorous quality checks.
- Communication: Skilled at presenting insights to both technical and non‑technical audiences, using storytelling techniques to drive impact.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Data Analyst, you will have access to:
- Mentorship from senior data scientists and product leaders.
- Internal training programs covering advanced analytics, machine learning, and data engineering.
- Opportunities to attend industry conferences, webinars, and workshops on streaming media, consumer behavior, and big‑data technologies.
- A clear career path that can lead to senior analyst, analytics manager, or data science roles within the organization.
Work Environment & Culture
Our remote‑first policy means you can work from anywhere, with a hybrid schedule that includes collaborative in‑person sessions Monday through Thursday and a fully remote Friday. careerzynith fosters an inclusive, supportive culture where diverse perspectives are celebrated. We encourage curiosity, continuous learning, and a healthy work‑life balance.
Compensation, Perks & Benefits
While the exact compensation package will be discussed during the interview process, successful candidates can expect:
- A competitive hourly rate of $23 per hour.
- Flexible part‑time hours (8‑hour workday) that accommodate personal commitments.
- Comprehensive health, dental, and vision coverage.
- Retirement savings plan with company matching contributions.
- Generous paid time off and holiday schedule.
- Access to careerzynith streaming content for personal enjoyment.
- Professional development stipend for courses, certifications, or conferences.
- Employee assistance programs and wellness resources.
How to Apply
If you are passionate about turning data into stories that shape the future of entertainment, we want to hear from you. Click the link below to submit your application and become part of the careerzynith journey.
Apply Now!
Join careerzynith and Make an Impact
At careerzynith, every data point contributes to a richer, more personalized experience for millions of viewers worldwide. Your analytical expertise will help us deliver the right content to the right audience at the right time, driving both customer satisfaction and business growth. Take the next step in your career and help shape the future of streaming entertainment.
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