About careerzynith
careerzynith is a global leader in e‑commerce, cloud services, digital streaming, and artificial intelligence. With a heritage of innovation and a commitment to customer‑centric solutions, careerzynith continuously reshapes how people shop, work, and entertain themselves online. Our expansive portfolio spans retail marketplaces, cutting‑edge cloud platforms, and a suite of AI‑driven products that empower businesses and consumers alike. As a forward‑thinking organization, careerzynith invests heavily in data‑driven decision making, fostering a culture where analytical insight fuels strategic growth. Join a team that values curiosity, collaboration, and continuous learning, and help us unlock the next wave of digital transformation.
Position Overview
careerzynith is seeking a highly motivated Part‑Time Remote Data Entry Analyst to support our paid‑media analytics function. This role is ideal for candidates who thrive on turning raw data into actionable insights, enjoy collaborating with cross‑functional teams, and are comfortable working independently in a remote environment. You will play a pivotal role in optimizing paid‑media spend, building robust reporting frameworks, and delivering strategic recommendations that drive measurable business outcomes.
Key Responsibilities
- Collect, cleanse, and validate large volumes of paid‑media data from internal and external sources to ensure accuracy and completeness.
- Develop and maintain automated dashboards and scorecards using SQL, MicroStrategy, Tableau, and Power BI to monitor key performance indicators (KPIs) for paid‑media campaigns.
- Collaborate with marketing, finance, and product teams to design and implement data models that surface cost‑efficiency opportunities and improve ROI.
- Conduct deep‑dive analyses to identify trends, anomalies, and growth levers within paid‑media spend, presenting findings in clear, concise formats for senior leadership.
- Partner with the Data Science team to integrate predictive analytics and machine‑learning insights into media mix modeling.
- Produce ad‑hoc reports and custom data extracts in response to urgent business questions, ensuring timely delivery and high quality.
- Assist in the creation of business cases and strategic recommendations that influence budgeting and allocation decisions across the organization.
- Maintain documentation of data pipelines, reporting standards, and analytical methodologies to support knowledge sharing and continuity.
- Stay abreast of industry best practices, emerging analytics tools, and regulatory considerations that impact paid‑media data handling.
Essential Qualifications
- Bachelor’s degree in Data Science, Business Analytics, Finance, Statistics, Computer Science, or a closely related field.
- Minimum of 2 years of professional experience in business analytics, data analysis, or consulting within an e‑commerce or digital advertising environment.
- Advanced proficiency in SQL, including complex joins, window functions, and performance optimization.
- Demonstrated expertise with at least one major BI/visualization platform (e.g., Tableau, Power BI, MicroStrategy, QuickSight).
- Hands‑on experience with Excel/Google Sheets for data manipulation and reporting.
- Strong analytical mindset with the ability to translate data findings into strategic business recommendations.
- Excellent written and verbal communication skills, capable of presenting technical concepts to non‑technical stakeholders.
- Self‑directed, detail‑oriented, and able to meet tight deadlines while managing multiple priorities.
Preferred Qualifications
- Experience working with advertising platforms such as Google Ads, Amazon Advertising, or Meta Ads Manager.
- Familiarity with statistical programming languages (Python, R) and data‑science libraries (pandas, NumPy, scikit‑learn).
- Knowledge of cloud‑based data warehousing solutions (Amazon Redshift, Snowflake, Google BigQuery).
- Exposure to A/B testing frameworks and experimental design principles.
- Prior involvement in media mix modeling, attribution analysis, or marketing mix optimization projects.
- Certification in data analytics or business intelligence (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate).
- Passion for e‑commerce, digital marketing, and emerging technology trends.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data sets, identify root causes, and propose evidence‑based solutions.
- Problem Solving: Comfortable navigating ambiguity, formulating hypotheses, and iterating on analytical approaches.
- Collaboration: Proven track record of working effectively with cross‑functional teams, including marketing, finance, product, and engineering.
- Communication: Strong storytelling ability to convey data insights in a compelling, business‑focused narrative.
- Technical Acumen: Proficiency with SQL, BI tools, and a willingness to learn new analytics technologies.
- Time Management: Demonstrated capacity to prioritize tasks, meet deadlines, and deliver high‑quality work with minimal supervision.
- Adaptability: Thrive in a fast‑paced, remote work environment, embracing change and continuous improvement.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Part‑Time Remote Data Entry Analyst, you will have access to:
- Mentorship from senior data scientists and analytics leaders.
- Internal training portals covering advanced SQL, data visualization, machine learning, and cloud analytics.
- Opportunities to transition into full‑time roles in data engineering, product analytics, or marketing strategy.
- Participation in cross‑departmental innovation labs where you can prototype new analytical solutions.
- Company‑wide conferences and webinars that expose you to the latest industry trends and best practices.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and high‑performance culture. Our remote workforce enjoys:
- Flexible scheduling that accommodates personal commitments while maintaining a consistent 8‑hour workday.
- A results‑oriented environment that values output over hours logged, empowering you to work when you are most productive.
- Regular virtual team‑building activities, knowledge‑sharing sessions, and open‑door leadership forums.
- A commitment to diversity, equity, and inclusion, ensuring every voice is heard and respected.
- Robust support for mental health and well‑being, including access to counseling services and wellness resources.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $26 per hour for this part‑time position, along with a comprehensive benefits package that may include:
- Health, dental, and vision insurance options for you and eligible dependents.
- Retirement savings plan with company matching contributions.
- Employee stock purchase program, allowing you to become a stakeholder in careerzynith’s growth.
- Paid time off, holidays, and sick leave to support work‑life balance.
- Discounts on careerzynith products and services, as well as exclusive shopping privileges.
- Professional development stipend for certifications, courses, or conferences.
- Access to a virtual employee assistance program (EAP) for confidential counseling and support.
Why Join careerzynith?
If you are passionate about turning data into strategic advantage, enjoy collaborating with dynamic teams, and seek a flexible remote role that offers real impact, careerzynith is the place for you. You will be at the heart of a data‑driven organization, influencing decisions that shape the future of digital commerce and advertising. Your contributions will directly affect how careerzynith allocates media spend, optimizes campaign performance, and delivers value to millions of customers worldwide.
Application Process
Ready to bring your analytical expertise to careerzynith? Click the link below to submit your application. We look forward to reviewing your qualifications and exploring how you can grow with us.