We are seeking a results-driven data solutions enthusiast to join our team. This position requires a keen understanding of business processes and the ability to optimize them using analytical and technical expertise.
Core responsibilities include:
Owning and executing distinct work streams within larger analytics engagement.
Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.).
Hands on experience in data manipulation skills in SQL or Python.
Experience in exploratory data analysis and feature engineering.
Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients.
Basic understanding of at least one business area and its components (Banking or Insurance).
Ability to translate technical information to non-technical stakeholders and vice versa.
Strong verbal and written communications skills.
Actively seeks information to clarify customer needs to deliver better experience.
Acts promptly to ensure customer needs are fulfilled.
What skills do you need?
Behavioural skills
Exceptional problem solving and communication skills across a wide range of stakeholders.
Ability to work cohesively in a team environment.
High level of attention to detail, resilience, enthusiasm, energy, and drive.
Positive, can-do attitude focused on continuous improvement.
Ability to take feedback and constructive criticism to drive improved delivery.
Rigorous ability to solve complex analytical problems, optimize environments and communication with stakeholders.
Excellent management, co-ordination, and communication skills.
Technical Skills
A deep understanding of the technical tools used in analytical domain is required as the bases for development of analytical products, as such the following core understandings are required:
Practical experience in SQL, python, and advanced excel in the context of data exploration and manipulation.
Ability to apply basic and advance data manipulation skills using SQL or Python to extract meaningful information from datasets.
Engage in data analysis and visualization to communicate findings effectively to stakeholders.
Review and analyze ongoing business requirements to ensure database solutions align with organizational needs.
Troubleshoot existing SQL queries and proactively identify and resolve performance issues.
Utilize SQL skills, including joins, subqueries to create efficient and accurate database queries.
Good to have skills:
Hands-on experience with Process Mining tools (Celonis, Apromore, Minit, UiPath, etc.)
to analyze and optimize business processes.
0-3 of working experience in Banking or Insurance domain
Qualifications
Bachelors or masters degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field.
experience in data and analytics.
Role: Full Stack Data Scientist
Industry Type: Analytics / KPO / Research
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate, B.Tech/B.E. in Production/Industrial
PG: Any Postgraduate
Doctorate: Doctorate Not Required
