

Immediate Joiners Preferred
NOTE: Working Shift: 11 am - 8 pm IST (+/- one hour on need basis) Monday to Friday
Responsibilities :
1. Leverage Alteryx to build, maintain, execute and deliver data assets. This entails using data analytics tools (combination of proprietary tools, Excel, and scripting), validating raw data quality, and working with Tableau/ Power BI and other geospatial data visualization applications
2. Analyze large data sets in Alteryx, finding patterns and providing a concise summary
3. Implement, maintain, and troubleshoot analytics solution and derive key insights based on Tableau/ Power BI visualization and data analysis
4. Improve ETL setup and develop components so they can be rapidly deployed and configured
5. Conduct data assessment, perform data quality checks and transform data using SQL and ETL tools
Qualification :
1. 3+ years of relevant and professional work experience with a reputed analytics firm
2. Bachelor's degree in Engineering / Information Technology from a reputed college
3. Must have the knowledge to handle/design/optimize complex ETL using Alteryx
4. Expertise with visualization tools such as Tableau /Power BI to solve a business problem related to data exploration and visualization
5. Good knowledge in handling large amounts of data through SQL, T-SQL or PL-SQL
6. Basic knowledge in Python for data processing will be good to have
7. Very good understanding of data warehousing and data lake concepts

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Job Description: Data Analyst
About the Role
We are seeking a highly skilled Data Analyst with strong expertise in SQL/PostgreSQL, Python (Pandas), Data Visualization, and Business Intelligence tools to join our team. The candidate will be responsible for analyzing large-scale datasets, identifying trends, generating actionable insights, and supporting business decisions across marketing, sales, operations, and customer experience..
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- Write complex SQL queries in PostgreSQL to extract, clean, and transform large datasets.
- Ensure accuracy, reliability, and consistency of data across different platforms.
- Data Analysis & Insights
- Conduct deep-dive analyses to understand customer behavior, funnel drop-offs, product performance, campaign effectiveness, and sales trends.
- Perform cohort, LTV (lifetime value), retention, and churn analysis to identify opportunities for growth.
- Provide recommendations to improve conversion rates, average order value (AOV), and repeat purchase rates.
- Business Intelligence & Visualization
- Build and maintain interactive dashboards and reports using BI tools (e.g., PowerBI, Metabase or Looker).
- Create visualizations that simplify complex datasets for stakeholders and management.
- Python (Pandas)
- Use Python (Pandas, NumPy) for advanced analytics.
- Collaboration & Stakeholder Management
- Work closely with product, operations, and leadership teams to provide insights that drive decision-making.
- Communicate findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
Required Skills
- SQL/PostgreSQL
- Complex joins, window functions, CTEs, aggregations, query optimization.
- Python (Pandas & Analytics)
- Data wrangling, cleaning, transformations, exploratory data analysis (EDA).
- Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Data Visualization & BI Tools
- Expertise in creating dashboards and reports using Metabase or Looker.
- Ability to translate raw data into meaningful visual insights.
- Business Intelligence
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- Understanding of metrics like CAC, ROAS, LTV, churn, contribution margin.
- General Skills
- Strong communication and presentation skills.
- Ability to work cross-functionally in fast-paced environments.
- Problem-solving mindset with attention to detail.
Education: Bachelor’s degree in Data Science, Computer Science, data processing
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