Data Analyst

2 weeks ago

Bengaluru, Karnataka, India Techno Facts Solutions Full time ₹ 6,00,000 - ₹ 12,00,000 per year

About the Role

We are looking for highly skilled Data Analysts with strong expertise in Python and SQL, specifically within the Digital Marketing and Analytics domain. The ideal candidates will play a pivotal role in transforming marketing data into actionable insights that drive campaign performance, customer engagement, and overall business growth.

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

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