JD - Data Analyst
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Experience: 3-6 years
Location: Noida - Sector 58
Department: Analytics
Employment Type: Full time
Key Responsibilities
- Design, develop, and manage dashboards using Power BI and Looker
Studio to visualize core business metrics and drive strategic
decisions.
- Perform advanced data analysis in Excel, including pivot tables,
complex formulas, and application of sophisticated business logic
for in-depth reporting.
- Write and optimize SQL queries for large datasets across platforms
(Google BigQuery, PostgreSQL, GCP, SSMS), ensuring data integrity
and high-performance data access.
- Build and maintain robust ETL pipelines using SSIS, Rivery, Hevo,
and custom Python scripts for automated data transformation.
- Apply predictive and statistical modeling for data-driven analysis
(churn prediction, market mix modeling, propensity modeling, LTV
analysis, CAC analysis, ad spend optimization, etc.).
- Provide ongoing reporting and insights for marketing campaigns,
sales performance, inventory, network usage, and financial
optimization.
- Manage stakeholder relationships--communicate findings, clarify
dependencies, and proactively address analytical challenges.
- Collaborate with cross-functional teams to ensure deliverables meet
business needs and enable relevant, actionable insight.
- Demonstrate ownership of assigned tasks--deliver high-quality outputs
with minimal supervision and nurture strong client relationships.
- Ensure data quality, accuracy, and compliance by validating sources,
cleansing datasets, and applying data governance practices.
Required Skills & Qualifications
- 3-6 years of hands-on experience in data analytics, business
intelligence, or related fields.
- Advanced proficiency in Excel and SQL (must-have).
- Experience with Power BI, Looker Studio, and Python (Pandas, NumPy,
Matplotlib, Seaborn).
- Familiarity with Google BigQuery, PostgreSQL, GCP, SSMS.
- Proficiency in ETL toolsets: SSIS, Rivery, Hevo, and Python
scripting.
- Exposure to digital marketing analytics platforms (Google Ads,
Facebook Ads, GA4, Shopify, CRM APIs).
- Strong data storytelling and visualization capabilities.
- Excellent communication, problem-solving, and stakeholder management
skills.
- Proven ability to independently own multiple projects and deliver
impactful insights.
Preferred Qualifications
- Certifications in Data Science, SQL, or Python (Scaler, Alma Better,
HackerRank, etc.).
- Experience with statistical analysis and predictive modeling in a
commercial/business context.
- Prior work in e-commerce, SaaS, martech, or digital marketing
environments.
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