Express Analytics | Senior Data Analyst
9 hours ago
Position Title: Senior Data Analyst
Location: Remote
Experience: 3-6 years
Salary: ₹13 - 20 LPA
Employment Type: Full-Time
About the Role:-
We are looking for a detail-oriented and results-driven Senior Data Analyst with strong proficiency in complex SQL, Power BI & Python (Unix also preferred) to join our dynamic team. As a Senior Data Analyst, you will be responsible for transforming warehoused datasets into meaningful business insights, developing interactive dashboards, and enabling data-driven decision-making. This fully remote role provides an opportunity to work on impactful projects with cross-functional teams to support strategic business objectives. If you have a passion for data storytelling, analytical problem-solving, and process automation, this is the perfect role for you
Key Responsibilities:-
- SQL Query Development: Design, write, and optimize complex SQL queries, stored procedures, and functions to support data analysis, data science and reporting.
- Data Analysis & Insights: Extract, cleanse, and analyze large datasets to uncover trends, patterns, and actionable insights.
- Dashboard Development: Create and maintain interactive dashboards and reports using Power BI, enabling stakeholders to make data-driven decisions.
- Customer Analytics: Support customer segmentation, lookalike modeling, and campaign personalization by analyzing customer behavior and trends.
- Data Automation with Python: Leverage Python scripts to automate ETL processes, data cleansing, and repetitive reporting tasks.
Other Responsibilities:-
- Stakeholder Collaboration: Work with marketing, product, and operations teams to gather reporting requirements and deliver timely insights.
- Data Quality & Consistency: Ensure data accuracy and consistency by standardizing inputs, managing duplicates, and improving data integrity.
- Unix Scripting & Command Line Operations: Utilize Unix commands and shell scripts to handle data transfers, schedule jobs, and automate workflows.
- Automation & Process Improvement: Automate data validation and reporting workflows to reduce manual efforts and improve efficiency.
- Data Governance & Compliance: Ensure adherence to data governance, privacy, and security best practices.
Key Skills & Competencies:-
- SQL Expertise: Advanced SQL skills for writing complex queries, CTEs, subqueries, and optimizing large datasets.
- Data Visualization: Proficiency in Power BI, with experience in DAX, Power Query, and building dynamic, user-friendly dashboards.
- Python Programming: Knowledge of Python for data analysis, automation, and ETL workflows.
- Analytical Problem-Solving: Excellent analytical and critical-thinking skills to identify trends and provide business insights.
- Stakeholder Communication: Strong communication skills to present data insights to non-technical stakeholders.
- Unix Scripting & Commands: Proficiency with Unix/Linux commands and shell scripting to handle file transfers, schedule jobs, and automate processes.
- Data Quality & Standardization: Ability to ensure data integrity, clean data inputs, and maintain consistency across data sources.
- ETL & Data Integration: Experience with ETL processes and working with multiple data sources.
Required Qualifications:-
- Education: Bachelor’s or Master’s degree in Data Analytics, Statistics, Computer Science, Business Intelligence, or a related field.
- Experience: 3-6 years of hands-on experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- Technical Skills:
- SQL (advanced) — proficiency in creating, optimizing, and debugging complex queries, views, and stored procedures.
- Power BI — strong experience in building, optimizing, and maintaining interactive dashboards and visualizations.
- Data Tools — familiarity with Excel (advanced), or other data analytics tools.
- Python — hands-on experience in using Python for data manipulation, automation, and ETL workflows.
- Unix (Optional) — strong knowledge of Unix/Linux commands and experience in shell scripting for automation and job scheduling.
- ETL & Data Management (Optional) — experience in ETL workflows, data transformation, and working with large datasets.
Preferred Qualifications:-
- Industry Experience: Experience working with large customer datasets, customer segmentation, or marketing analytics.
- Domain Expertise in B2C Retail
Perks & Benefits:-
- Remote Work: Enjoy the flexibility of working from anywhere.
- Competitive Salary: ₹13 - 20 LPA, based on skills and experience.
- Career Development: Access to learning resources, certification sponsorships, and career growth opportunities.
- Collaborative Culture: Work with a supportive team of data enthusiasts and business leaders.
How to Apply:-
If you’re ready to leverage your SQL, Power BI & Python expertise to drive data-driven business decisions,
We’d love to hear from you
APPLY NOW
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