Data Analyst to Manager
1 month ago
Experience:
1 to 8 years - DA/ Sr. DA/ AM /Manager
Must Haves:
- Python/PySpark
- SQL
- Advanced Excel
- Comm Skills
- Data Analysis and interpretation
- Project Management
- Story Telling
- Interest and ability to get to grips with the underlying business problem and value drivers of a project
Good to have:
- Flask
- Team Management
- Any kind of health care background eg, - Pharma
Overview:
The role will be responsible to oversee data analytics team and be the technical head of a global workforce across a multi-country team. The objective of the role is to ensure timely, robust, and accurate research, conception, delivery and ongoing monitoring of analytical products and frameworks. Effective communication between key stakeholders (actuarial, statistical, technology, and data teams) is vital to ensure delivery.
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 (Healthcare, Insurance, Banking, Telecommunications, Logistics)
· Familiarity with / Exposure on cloud engineering (preferred)
· 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 leadership and communication skills across a wide range of stakeholders
· Ability to work cohesively in a team environment while balancing multiple priorities
· 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.
· Knowledge of data science and solution architecture on the cloud -Azure cloud (preferred)
· Knowledge of cloud technologies such as data bricks, azure studio, data factory, etc. (preferred)
· Understanding of data science in patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is beneficial but not required
· Understanding of data science in fraud, operations, lifestyle, behavioral environment is beneficial but not required
Qualifications
· Bachelor’s degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field.
· MBA graduate from a Tier-1 institute or a master’s degree in relevant field
· Minimum 3 years of experience in data and analytics
· Minimum 2 years of experience in leading analytical teams, project management and stakeholder management
Additional key skills we are looking at:
Stakeholder Management, Client Communication, Team Management, Project Management, Problem Solving, Python, SQL, Storytelling, Presentation Skills
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