Job Type:
Full Time
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Job Title: Data Science Lead Analyst
Job Overview:
The Data Science Lead Analyst is a strategic professional who stays current with developments in the field and contributes to directional strategy by applying insights to both their role and the broader business context. As a recognized technical authority, you will provide guidance and counsel on technology and operations, impacting the performance and effectiveness of your area and the organization as a whole.
Key Responsibilities:
- Conduct strategic data analysis to identify insights, implications, and make informed recommendations; create data displays that effectively communicate complex analyses.
- Mine and analyze data from various banking platforms to optimize processes and enhance data quality.
- Deliver analytics initiatives to tackle business challenges, determining necessary data, assessing project timelines, and establishing project plans.
- Collaborate with business clients to identify functional specifications, understanding how multiple areas integrate to achieve business objectives.
- Consult with users to resolve complex system issues by evaluating business processes, systems, and industry standards, recommending viable solutions.
- Lead the system change process from requirements gathering to implementation, providing operational support to business users.
- Formulate and define project scope and goals through research and fact-finding, aligned with business systems and industry standards.
- Ensure high-quality deliverables that impact your team and related work teams directly.
- Assess the implications of technology applications within the current business environment, identifying risks and impacts.
- Facilitate communication between business leaders and IT, demonstrating strong communication and diplomacy skills to convey complex information effectively.
- Conduct workflow analysis and business process modeling; develop use cases, test plans, and business rules, and assist in user acceptance testing.
- Collaborate on the design and implementation of scalable and reliable workflow solutions that integrate with reporting systems.
- Develop in-depth knowledge of supported business areas, engaging with partners to evaluate opportunities for process integration and improvement.
- Gather requirements and provide solutions across different business sectors.
- Partner with cross-functional teams to analyze current processes and identify improvement opportunities, including creating target operating models.
- Negotiate for resources from other areas to ensure timely project completion.
- Maintain ongoing documentation and provide training for new and existing users.
- Communicate status updates, issues, and risk management strategies to stakeholders, including senior management.
- Identify project risks and develop mitigation strategies as necessary.
- Ensure that business cases and cost-benefit analyses align with organizational objectives.
- Deliver clear communications regarding project scope, progress, and outcomes.
- Develop strategies to reduce costs, manage risks, and enhance services.
- Utilize influencing and matrix management skills to ensure technology solutions meet business needs.
- Perform other duties as assigned, while consistently assessing risks in decision-making, prioritizing the firm’s reputation and compliance with applicable regulations.
Qualifications:
- MBA or advanced degree in Information Systems, Business Analysis, or Computer Science.
- 6-10 years of experience in using statistical modeling tools for large datasets.
- Experience in process improvement or project management.
Education:
- Bachelor’s degree or equivalent experience, potentially a Master’s degree.
Additional Requirements:
- 6+ years of experience in the analytics industry.
- Proficient in data handling tools such as Python, Spark, R, Hive, SAS, SQL, or similar.
- Strong ability to extract strategic insights from large datasets.
- Experience in designing and implementing machine learning models and algorithms, with familiarity in frameworks like TensorFlow, PyTorch, or scikit-learn.
- Proficient in statistical techniques (e.g., forecasting, regression, optimization) and machine learning algorithms (e.g., GBM, Decision Trees).
- Strong interest in applying quantitative analysis within finance, risk, or business economics.
- Experience with visualization tools such as Tableau or Power BI.
- Skilled in core Python development, with extensive expertise in building scalable and efficient software for data processing.
- Expert-level knowledge of core Python libraries (e.g., Pandas, NumPy, SciPy) and familiarity with OOP concepts and design patterns.
- Solid computer science fundamentals in data structures, algorithms, databases, and operating systems.
- Highly experienced with Unix-based operating systems and proficient in writing SQL queries.
- Experience with version control tools such as Bitbucket or Git.
Preferred Qualifications:
- Exposure to cloud platforms like AWS, Azure, or GCP.
- Experience in the banking domain, particularly in pricing or risk management.
- CFA or FRM certification is a plus.
This job description provides a high-level overview of responsibilities and qualifications. Additional job-related duties may be assigned as needed.
