We’re Hiring for Freelance Marketing Analytics | Paid Opportunity

📢 Job Description: Freelance Marketing Analytics

🏙️ Company: Mu Sigma

📍Location: Remote

➡️ Engagement Type: Project-based / Contract / Freelance

🌐 About the Company

Mu Sigma is a Decision Sciences & Analytics company helping Fortune 500 companies institutionalize data-driven decision making across verticals such as marketing, risk, and supply chain. It combines mathematics, statistics, domain knowledge, and technology to deliver insights, predictive models, dashboards, etc.

✅ Key Responsibilities

• Work with stakeholders (marketing, product, operations) to understand and translate requirements into analytics tasks.
• Extract, clean, and prepare data from multiple sources (structured, possibly unstructured).
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and insights.
• Build statistical and predictive models (e.g. regression, classification, time series forecasting) as needed.
• Develop, maintain, and present dashboards and visualizations (using tools like Tableau, Power BI, or similar) to communicate findings.
• Provide actionable recommendations based on data insights to help optimize marketing campaigns (channel mix, budget allocation, targeting, creatives).
• Monitor, evaluate, and report on marketing performance metrics (e.g., customer acquisition cost (CAC), return on ad spend (ROAS), lifetime value (LTV), conversion rates).
• Collaborate with other teams (data engineering, business domain experts) to ensure data quality, integrity, and consistency.
• Be adaptable to changing project scopes, tight deadlines, and evolving business needs.

⭐ Required Skills & Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, Data Science, etc.).
• Strong proficiency in data manipulation & analysis tools: SQL, Python or R.
• Experience with data visualization tools: Tableau, Power BI, Looker, or similar.
• Strong statistical knowledge (hypothesis testing, regression, clustering, time series etc.).
• Experience with marketing metrics / analytics (digital marketing, campaign performance, attribution models etc.).
• Excellent communication skills: ability to explain technical insights to non-technical stakeholders.
• Self-starter, good with time management, able to deliver under remote/freelance setup.
• Attention to detail and strong problem-solving mindset.

👉 Preferred / Nice-to-have

• Experience with marketing mix modelling.
• Familiarity with A/B testing and experimental design.
• Exposure to big data tools / cloud platforms.
• Some domain exposure in retail, e-commerce, FMCG, or consumer services.

🧾 Deliverables

• Cleaned datasets + documentation of data sources & transformations.
• Dashboards or reports on marketing performance.
• Predictive or prescriptive models (if needed).
• Recommendations for optimizing marketing spend or improving targeting / creative effectiveness.
• Insights presentation / story for stakeholders.

“If you love turning raw numbers into stories that drive business decisions, if you get excited seeing patterns where others see noise, and thrive when your insights change the way marketers think — this role is made for you”

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