Data Analyst

Role Overview: You will be an experienced Data Analyst with a strong background in Banking Financial Services Analytics and hands-on expertise in SQL and Python. Your main responsibility will be to work with large financial datasets, derive actionable insights, create dashboards, and collaborate with stakeholders to drive data-backed decisions. Key Responsibilities: - Utilize 3-10 years of experience in Data Analytics within the Banking Financial Services domain, with a preference for strong expertise in SQL, complex queries optimization, and joins. - Demonstrate proficiency in Python, R, or SAS for predictive statistical modeling. - Utilize experience in Data Visualization tools such as Tableau or Power BI. - Understand and apply Data Governance practices. - Possess the ability to convert complex datasets into actionable insights. - Showcase solid problem-solving, communication, and stakeholder collaboration skills. Qualifications Required: - 3-10 years of experience in Data Analytics within the Banking Financial Services domain. - Strong expertise in SQL, complex queries optimization, and joins. - Proficiency in Python, R, or SAS for predictive statistical modeling. - Experience in Data Visualization tools such as Tableau or Power BI. - Understanding of Data Governance practices. - Ability to convert complex datasets into actionable insights. - Solid problem-solving, communication, and stakeholder collaboration skills. Company Details: You will have the opportunity to work with a leading global financial services brand known for innovation, stability, and excellence in data-driven decision-making. The company provides solutions across predictive analytics, risk management, data governance, and business intelligence. Note: Please reach out via email to asawari.sharangdhar@crescendogroup.in with your updated CV if you believe this role aligns with your career aspirations for a confidential discussion. Role Overview: You will be an experienced Data Analyst with a strong background in Banking Financial Services Analytics and hands-on expertise in SQL and Python. Your main responsibility will be to work with large financial datasets, derive actionable insights, create dashboards, and collaborate with stakeholders to drive data-backed decisions. Key Responsibilities: - Utilize 3-10 years of experience in Data Analytics within the Banking Financial Services domain, with a preference for strong expertise in SQL, complex queries optimization, and joins. - Demonstrate proficiency in Python, R, or SAS for predictive statistical modeling. - Utilize experience in Data Visualization tools such as Tableau or Power BI. - Understand and apply Data Governance practices. - Possess the ability to convert complex datasets into actionable insights. - Showcase solid problem-solving, communication, and stakeholder collaboration skills. Qualifications Required: - 3-10 years of experience in Data Analytics within the Banking Financial Services domain. - Strong expertise in SQL, complex queries optimization, and joins. - Proficiency in Python, R, or SAS for predictive statistical modeling. - Experience in Data Visualization tools such as Tableau or Power BI. - Understanding of Data Governance practices. - Ability to convert complex datasets into actionable insights. - Solid problem-solving, communication, and stakeholder collaboration skills. Company Details: You will have the opportunity to work with a leading global financial services brand known for innovation, stability, and excellence in data-driven decision-making. The company provides solutions across predictive analytics, risk management, data governance, and business intelligence. Note: Please reach out via email to asawari.sharangdhar@crescendogroup.in with your updated CV if you believe this role aligns with your career aspirations for a confidential discussion.