Website: https://www.cognitioanalytics.com/

Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises.

The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients.

Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction.

Our solutions include Total Rewards Analytics powered by Cognitios Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs.

Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc.

These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients.

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.

Key requirements:

- Must have exceptional data sense and prior experience in healthcare data analytics.

- Strong experience with analytics products.

- Prior experience with cloud environments (Azure, AWS, etc) & large datasets.

- Experience writing and reviewing code in SQL and Pyspark; extreme attention to detail and quality.

- Experience managing >=5 person teams.

- Prior experience with clients.

- Soft skills: very strong communication, lots of initiative- but also comfortable asking for help, skill in coordinating across multiple teams, passion for learning new data and analytics.

Core responsibilities include:

- Translate client's guidance on roadmap & key priorities into sprints, user stories, and requirements wikis.

- Ensure high quality execution of product including:

- Gather requirements & scope tasks for the sprints.

- Keeping standards high, including defining acceptance criteria/testing plans plus code review.

- Reviewing the team's work:

- Full code review for the data analysts.

- Business/requirements review for non-DAs.

- Own the team Agile ceremonies including

- Running them with skill and receiving ongoing coaching from our Agile leaders within AH.

- Realize value from these ceremonies focus on translating these ceremonies into constant team improvement.

- Scope: daily standup, backlog refinement, sprint kickoff, sprint review, retrospective, etc.

- Communicate with the client as part of IPP implementation.

- 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/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, Power BI 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:

- Bachelors degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field.

- MBA graduate from a Tier-1 institute or a masters degree in relevant field.

- Minimum 5 years of experience in data and analytics.

- Minimum 4 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.

"Cognitio Analytics is an equal-opportunity employer.

We are committed to a work environment that celebrates diversity.

We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law.

All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our clients data.

Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio.

Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.