Marketing Analytics Consultant

Role & responsibilities Lead and manage analytics projects focused on banking/financial sectors. Utilize strong Python skills to develop analytical models and tools. Collaborate with cross-functional teams to identify business challenges and deliver actionable insights. Engage with clients to understand their needs, present findings, and recommend solutions. Oversee project timelines, budgets, and resources to ensure successful project delivery. Mentor and guide junior team members in analytics methodologies and tools. Stay updated on industry trends and best practices to enhance service offerings. Qualifications: Bachelor's degree in a related field (e.g., Computer Science, Data Science, Business Analytics). Approximately 2 years of experience in banking analytics and/or marketing analytics. Strong proficiency in Python for data analysis and/or model development. Excellent problem-solving skills with a proven ability to tackle complex business challenges. Experience in client management and effective presentation of analytical findings. Strong project management skills with a track record of delivering projects on time and within budget. Exceptional communication skills, both written and verbal. Preferred candidate profile: Experience with exploratory data analysis, feature engineering, pivots, and data summarization is required. Understanding of basic statistical techniques like t-tests, chi-square tests, hypothesis testing, A/B testing, regression analysis, etc. Familiarity with statistical analysis and machine learning concepts. Understanding of banking and financial services. Experience of programing in PySpark is good to have. Experience with data visualization tools (e.g., Tableau, Power BI).