We are looking for a talented and motivated Senior Data Analyst to join our Marketing and Product Analytics team. In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions. This is a fantastic opportunity to apply your analytical skills in a fast paced, data-driven environment with a strong culture of experimentation and impact.

Responsibilities

Extract, clean, and transform data to ensure quality and usability across analytics initiatives.
Build, validate, and deploy machine learning and statistical models to solve business problems.
Using your SQL, Python, R expertise to interrogate our data to solve key business problems.
Create clear, concise dashboards and reports to communicate findings to stakeholders. • Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement.
Create clear, concise dashboards and reports to communicate findings to stakeholders. • Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes.
Experience in taking a business question or problem and turning it into an insight brief • Perform deep dives into campaign metrics to identify drivers of performance and recommend actionable strategies.
Stay updated on industry trends, best practices, and emerging technologies in Marketing analytics.
Proactively bringing new ideas to the table relating to business questions, analytics approaches, datasets and ways of working.
Shape our marketing approach actionable insights. Required Skills • Proficient in Python and SQL (MySQL or Redshift experience preferred).
Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly).
Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis.
Strong problem-solving skills and a structured business approach to working with complex datasets.
Excellent communication skills with the ability to present findings clearly o non-technical audiences.
Highly motivated and collaborative to excel in a fast-paced remote environment. • Proven work experience in working on business analytics and marketing insights.

Education and Background

B.E./B.Tech. from a Tier I College (IITs/NITs/BITS) in Computer Science, Data Science, Engineering, or a related quantitative field.
3-5 years of experience in an analytics/data science role. Prior experience in marketing/customer analytics required.
Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus.
Experience in a business or marketing analytics product setting, leveraging data science to drive business outcomes.

Why Join Us