Cognitio Analytics - Data Analyst (3-8 yrs)

Data Analyst to Manager

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?.

Behavioral 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.