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Data Scientist

Lead Data Scientist

Operations Manager

Job Title: Senior Data Analyst, Marketing & Product Location: Remote Type: Full-Time About the Role: 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: - Be part of a high-impact analytics team shaping marketing and product strategy. - Work on real-world problems with direct influence on business outcomes. - Enjoy a remote-first work environment with flexibility and autonomy. - Get access to mentorship, continuous learning, and growth opportunities

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Applied Data Finance - Senior Data Analyst - Marketing & Product - IIT/NIT/BITS 

Job Description for Applied Data Finance - Senior Data Analyst - Marketing & Product - IIT/NIT/BITS  in Applied Data Finance in  Remote for (2-5) years of experience. Apply Now!

Applied Data Finance - Senior Data Analyst - Marketing & Product - IIT/NIT/BITS  | iimjobs.com