Job Description

Job Title: Data Analyst / Sr Data Analyst

Location: Church Street, Bangalore,

Work Mode: Work from Office - (Mon to Fri, 5 days)

Experience Required: 4+ years

Reporting to: Head of Analytics

"Immediate joiners preferred"

We are in search of a Sr Data Analyst based to play a crucial role in scaling our analytics operations. In this role you will collaborate closely with business leaders, partners, and stakeholders, engaging in ad hoc analysis, storytelling, dashboard creation, reporting, and metric observability.

Responsibilities

1. Extract, analyze, and visualize data to support decision-making for different business units (sales, operations, revenue etc.)

2. Data Analysis and Visualization: Conduct in-depth data analysis to identify trends, patterns and insights, creating engaging visualizations that effectively communicate findings to stakeholders

3. Dashboard Development: Design and distribute certified dashboards using PowerBI, Charts, Excel, ensuring they meet the needs of various departments and facilitate informed decision-making

4. Actionable Recommendations: Translate data findings into clear, actionable recommendations, using structured analytical thinking, statistical analysis to support business objectives

5. Data Modelling: You will build predictive models to create reporting infrastructure/dashboards (e.g., churn prediction, customer segmentation).

6. Hands-On Data Management: Utilize SQL and SQL-like interfaces to query complex databases,

7. Project Execution: Actively participate in the execution of analytics projects, ensuring timely delivery and alignment with departmental objectives

8. Performance Optimization: Monitor the performance of dashboards and reports. Implement optimization strategies for faster and more efficient data retrieval.

9. Documentation: Maintain comprehensive documentation for data models, dashboards, and processes. Create user manuals for business stakeholders.

10. Data Governance: Ensure compliance with data security and privacy regulations. Implement data quality and validation checks to maintain data integrity.

11. Collaboration with Internal Partners: Work closely with teams to build relationships, discuss analytics needs, and manage expectations for analytics tasks and processes

12. Continuous Improvement: Contribute to a culture of high-quality output by maintaining effective communication, responding to challenges promptly, and fostering a customer-focused approach

13. CX Enhancement: Develop recommendation systems for customer experience enhancements.

14. Forecast Modeling: Conduct scenario modeling for financial forecasting, Sales forecasting, Operational efficiency

15. Conduct customer segmentation using clustering techniques.

16. ML Models: Develop machine learning pipelines for operational efficiency.

Skills Required:

You bring over 4+ years of extensive experience in data analysis, advanced analytics, and statistical methodologies, along with a proven track record in experimentation and optimization

4+ years of hands-on experience with SQL and Python, coupled with proficiency in Power BI tools,

Experience defining KPIs, statistical and predictive modeling concepts, descriptive statistics, and experimental design

Strong Knowledge of programming languages such as Python, R, or DAX for advanced data manipulation.

Strong SQL skills, Strong analytical skills, with experience in statistical modeling and data analysis

Experience working with large datasets

Bachelor's degree in Statistics, Computer Science, Information Systems, or a related field, providing a strong foundational knowledge and expertise

Strong proficiency in MS Office product suite - PowerPoint, Excel, Word, etc

Experience in scripting languages (e.g., Javascript, Apps Script

Job Type: Full-time

Pay: From ?800,000.00 per year

Benefits:

Health insurance
Supplemental Pay:

Yearly bonus
Application Question(s):

Our team works 5 days a week from our office located on Church Street. Would you be comfortable commuting to this location daily? How soon can you join?
Experience:

total work: 3 years (Preferred)
Work Location: In person