Data Analyst

Job Title: Data Analyst

Location: Remote (India)

Experience Level: 2–4 years

Contract role for 6 months (Can be extended)

About the Role

We are seeking a highly motivated Data Analyst to join our growing Analytics team. The

ideal candidate will be responsible for analysing large datasets, generating actionable

insights, and supporting campaign performance measurement. This role requires strong

analytical thinking, hands-on technical skills, and the ability to translate data findings into

clear business recommendations.

Key Responsibilities

 Work closely with business and marketing teams to analyse campaign performance and

identify key drivers of success.

 Extract, clean, and transform data from multiple sources using SQL and Alteryx.

 Build and automate data pipelines to support reporting and analytics initiatives.

 Perform exploratory data analysis and develop statistical models to uncover business

insights.

 Apply foundational Machine Learning techniques for predictive and segmentation

analyses.

 Create and maintain dashboards and reports to track KPIs using Excel or visualization

tools.

 Communicate analytical findings and recommendations clearly to both technical and

non-technical stakeholders.

 Collaborate with cross-functional teams to support data-driven decision-making across

projects.

Required Skills & Qualifications

Proficiency in SQL for data extraction and transformation.

Strong working knowledge of Python (Pandas, NumPy, Scikit-learn, etc.).

Hands-on experience with Alteryx for workflow automation and data blending.

Solid understanding of statistics and hypothesis testing.

Familiarity with Machine Learning fundamentals (regression, classification, clustering).

Prior experience in Campaign Analytics or Marketing Analytics preferred.

Strong Excel skills for reporting and analysis.

Excellent communication and presentation skills with the ability to translate data into

insights.

Preferred Qualifications

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics,

or related field.

Experience working in a retail or consumer business environment.