Experienced Advanced Analytics & Optimization Manager – Remote Data Entry & Statistical Modeling Specialist at careerzynith

About careerzynith and the Opportunity Ahead

Are you a curious, analytically minded professional who is energized by the challenge of turning complex datasets into actionable business intelligence? Do you enjoy collaborating with cross-functional partners to uncover insights that drive strategic decisions? If you are driven by the desire to understand the business mechanics behind memorable experiences and want to contribute to data-driven innovation from a remote setting, careerzynith has an exciting opportunity for you.

careerzynith is a forward-thinking organization committed to leveraging advanced analytics, statistical modeling, and data science to shape strategy across marketing, sales, and broader commercial investments. Our analytics division works at the intersection of consumer behavior, media performance, and business optimization, building state-of-the-art statistical models that deliver clear, impactful insights to senior leadership and business partners across the globe.

This role is ideal for someone who thrives in a remote work environment but wants to remain deeply connected to high-impact projects, strategic decision-making, and a collaborative analytics community. As a part-time remote professional, you will contribute meaningfully to model development, data interpretation, and the presentation of findings that shape the direction of our global marketing and sales initiatives.

Position Summary

As the Advanced Analytics & Optimization Manager – Data Entry & Statistical Modeling Specialist, you will serve as an individual contributor reporting to the Manager of Domestic Media Analytics. You will be embedded within our Consumer Insight, Measurement & Analytics (CIMA) team, which sits within the broader commercial and experiences division of careerzynith. CIMA’s mission is to enable fact-based, consumer-centric decision-making through integrated, objective, and high-quality insights.

In this role, you will apply a range of advanced statistical methodologies to develop insights into our global marketing investments, build sophisticated forecasting programs, and lead data mining initiatives that inform the broader analytics organization. You will work directly with senior leadership and key business partners, translating complex modeling results into clear, consultative narratives that drive measurable impact.

Key Responsibilities

• Develop, refine, and maintain Marketing Mix Models (MMM) across multiple business units to evaluate the effectiveness of media and marketing investments.
• Transform model outputs into strategic insights that help partners understand historical media performance, identify trends, and inform future planning.
• Design, build, and deploy additional statistical models that address business-critical questions across marketing, sales, and consumer engagement.
• Create and deliver polished, insight-driven analytic presentations for senior leadership, translating technical findings into clear business recommendations.
• Perform exploratory data analysis to uncover patterns, validate data integrity, and generate hypotheses that deepen understanding of business operations.
• Mine large, complex datasets using R, Python, SQL, and other tools to surface trends, anomalies, and opportunities for optimization.
• Partner with cross-functional stakeholders to define analytical questions, scope projects, and ensure deliverables meet business needs.
• Document methodologies, assumptions, and model outputs to ensure reproducibility, transparency, and knowledge sharing across the team.
• Stay current on industry best practices, emerging analytical techniques, and new technologies that can elevate the team’s modeling capabilities.

Essential Qualifications

To succeed in this role, candidates should bring a strong foundation in analytics, statistical modeling, and data-driven storytelling. Specifically, we are looking for:

• Education: A Master’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Mining, Computer Science, Engineering, Operations Research, or a closely related quantitative discipline.
• Experience: A minimum of two years of hands-on experience applying diverse analytic, data mining, and machine learning methodologies, including multivariate regression, mixed models, clustering, time-series regression, and forecasting.
• Technical Proficiency: Strong programming skills in R or Python for data mining, statistical analysis, and model development.
• Communication Skills: Excellent written and verbal communication abilities, with a proven track record of summarizing and presenting sophisticated analytics to senior leadership and non-technical stakeholders.
• Analytical Curiosity: A natural inclination to ask questions, explore data, and dig deeper to understand the “why” behind the numbers.
• Attention to Detail: A meticulous approach to data validation, model accuracy, and quality assurance.

Preferred Qualifications

Candidates who bring the following experiences and skills will be particularly well-suited for this role:

• A Ph.D. (or equivalent) in Statistics, Mathematics, Economics, Data Mining, Computer Science, Engineering, or Operations Research.
• Demonstrated ability to scale R or Python code for high-performance data mining across large datasets.
• Prior work experience within a media agency, analytics consulting firm, or a similarly fast-paced, insight-driven environment.
• Working knowledge of marketing or media mix modeling principles and best practices.
• Deep expertise in advanced data mining techniques and statistical methodologies.
• Experience with SQL and relational databases, including the ability to extract, transform, and load (ETL) data from complex sources.
• Familiarity with cloud-based data platforms, visualization tools, and modern data engineering practices.

Skills and Competencies for Success

Beyond technical qualifications, the ideal candidate will demonstrate a blend of analytical rigor, business acumen, and interpersonal skill. Success in this role requires the ability to:

• Think Critically: Approach business problems with structured, hypothesis-driven analysis and challenge assumptions when needed.
• Communicate with Impact: Translate complex statistical outputs into compelling narratives that resonate with both technical and non-technical audiences.
• Collaborate Effectively: Build trust and credibility with partners across marketing, sales, finance, and leadership.
• Manage Time Independently: Thrive in a remote, part-time work structure by managing priorities, deadlines, and deliverables with minimal oversight.
• Embrace Innovation: Continuously seek out new methods, tools, and approaches to elevate the quality and efficiency of analytic outputs.
• Maintain Integrity: Uphold the highest standards of data ethics, confidentiality, and analytical objectivity.

Career Growth and Learning Opportunities

At careerzynith, we believe that great analytics is built on continuous learning and professional development. As a member of our analytics team, you will have access to:

• Mentorship and collaboration with seasoned analytics leaders and senior data scientists.
• Opportunities to deepen expertise in marketing mix modeling, attribution, forecasting, and advanced machine learning techniques.
• Exposure to enterprise-scale data environments and a wide variety of business problems across multiple product lines and geographies.
• Support for continuing education, certifications, and conference attendance where applicable.
• A clear pathway for growth into senior analytics, modeling lead, or strategic consulting roles as the team expands.

Work Environment and Company Culture at careerzynith

careerzynith is more than a workplace — it is a community of curious, collaborative, and purpose-driven professionals. Our culture is defined by:

• Remote-First Flexibility: This part-time role is fully remote, allowing you to design a work rhythm that supports both productivity and personal well-being.
• Inclusive Collaboration: We celebrate diverse perspectives and believe that the best insights emerge when people from different backgrounds and experiences come together.
• Innovation and Curiosity: We encourage experimentation, creative problem-solving, and a willingness to challenge the status quo.
• Impact-Driven Work: Every model you build, every insight you deliver, and every recommendation you make will help shape strategic decisions that influence the broader business.
• Trust and Autonomy: We hire exceptional talent and trust them to deliver outstanding results with the support and resources they need to succeed.

Compensation, Perks, and Benefits

careerzynith is committed to offering a competitive and equitable compensation package. The base pay for this role will be determined based on a variety of factors, including internal equity, geographic location, job-related knowledge, skills, and prior experience. A performance bonus or long-term incentive units may be offered as part of the overall compensation package, depending on the level and scope of the position.

Our benefits offerings are designed to support the well-being, financial security, and personal growth of every team member. Depending on the role and level, these may include:

• Comprehensive medical, dental, and vision coverage
• Retirement savings plans with company contributions
• Generous paid time off, holidays, and flexible leave policies
• Wellness programs and mental health support resources
• Professional development stipends and learning reimbursement
• Remote work setup support, including hardware and home office allowances

Equal Opportunity and Inclusion

careerzynith is an equal opportunity employer. We are deeply committed to fostering a diverse, equitable, and inclusive workplace where every individual is valued, respected, and empowered to thrive. We encourage applications from candidates of all backgrounds, identities, and experiences, including but not limited to race, ethnicity, national origin, gender, gender identity, sexual orientation, age, disability, veteran status, and socioeconomic background.

We also comply with all applicable labor laws and regulations, including the Fair Labor Standards Act (FLSA), Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act (ADA), the Occupational Safety and Health Act (OSHA), and all relevant federal, state, and local employment standards. careerzynith is committed to maintaining a safe, secure, and respectful work environment for all team members, and we uphold strict policies against discrimination, harassment, and unethical conduct.

How to Apply

If you are a data-driven professional with a passion for uncovering the stories hidden within complex datasets — and you are excited about the opportunity to contribute to a high-impact analytics team from a flexible, remote environment — we would love to hear from you. Bring your curiosity, your technical expertise, and your commitment to excellence, and join careerzynith as we turn data into decisions that shape the future of our business.

Apply today and take the next step in your analytics career with careerzynith.

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