Express Analytics | Senior Data Analyst
7 days ago
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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