Data Analyst

About the Role

Data Analysts

Key Responsibilities

1. Data Extraction & Transformation

• Query and extract large datasets from marketing databases (e.g., Google Analytics, ad platforms, CRM systems) using

  SQL

  .
• Clean, transform, and prepare data for analysis using

  Python (Pandas, NumPy)

  .
• Ensure data accuracy, consistency, and completeness across sources.

2. Marketing Analytics & Campaign Performance

• Analyze digital marketing performance across channels such as

  SEO, SEM, social media, and email

  .
• Develop and maintain

  marketing attribution models

  to measure ROI and campaign impact.
• Provide insights on customer behavior, engagement, and conversion patterns.

3. Reporting & Visualization

• Design and automate dashboards and reports using

  Tableau, Power BI

  , or

  Python visualization tools

  (Plotly, Dash, Matplotlib).
• Present findings and recommendations to marketing and leadership teams in a clear, actionable manner.

4. Predictive Modelling & Insights

• Build predictive models for

  customer segmentation, churn prediction, LTV analysis

  , and campaign optimization.
• Use

  machine learning techniques

  (scikit-learn, XGBoost, etc.) to support personalization and targeting strategies.

5. Cross-functional Collaboration

• Partner with

  marketing, product, and sales teams

  to define KPIs and performance metrics.
• Translate complex business problems into analytical frameworks and deliver insights that influence strategic decisions.

Required Skills & Qualifications

• 5 to 9 years of experience as a

  Data Analyst

  in the

  Digital Marketing

  or

  Data & Analytics

  domain.
• Proficiency in

  Python

  (Pandas, NumPy, scikit-learn) and

  SQL

  (complex queries, data manipulation).
• Experience with

  marketing data sources

  such as Google Analytics, Facebook Ads, HubSpot, or Salesforce.
• Strong knowledge of

  data visualization tools

  (Tableau, Power BI, Looker, or similar).
• Solid understanding of

  digital marketing metrics, attribution models, and performance tracking

  .
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with

  cloud data platforms

  (AWS, GCP, Azure).
• Exposure to

  automation and dashboard deployment

  using Python frameworks (Dash, Streamlit).
• Strong business acumen with the ability to translate data into marketing strategies