Aspire Technology Solutions - Manager - Data Science - Customer Insights

Essential Duties and Responsibilities:

- Collects internal and external data for assigned projects by collaborating with the Senior management of Customer Insights, GRC business unit leaders and experts to identify and prioritize opportunities and challenges for customer segments and/or lines of business; outlining the data required to fully evaluate customer characteristics and make informed business decisions for assigned projects; identifying internal sources of data to support research and analysis (e.g., existing customer data); identifying and acquiring external data (e.g., secondary research); and managing the coding and/or extraction of data to conduct thorough analysis.

- Extracts business insight through data analysis by utilizing software tools to streamline the building of models and other analytics; managing and reviewing data analysis projects by external consultants; developing and analysing statistical and mathematical models to identify business opportunities; developing forecasting models for customer growth, loss and usage based on historical customer behaviour, existing market data and business projections; identifying key trends and data characteristics within the data sets that require further investigation; and using analysis to generate business recommendations (e.g., to improve profitability, to find more customers).

- Help create and maintain a suite of advanced analytical/machine learning libraries that can help detect patterns within our customer data; outline all structured and unstructured data elements required to fully evaluate customer characteristics and make informed business decisions for assigned projects; identifying internal sources of data to support research and analysis (e.g., existing customer transactional and behavioural data as well as primary research); identifying and acquiring external data (e.g., secondary research); and managing the coding and/or extraction of data to conduct thorough analysis

- Ensure close collaboration with the Voice of Customer team within Customer Insights to ensure scaling up and interpretation of the wide variety of customer level feedback received through various channels (both structured parameters as well as unstructured free form feedback text/voice recordings)

- Collaborates with the onshore Directors and Local Senior Managers within Customer Insights to develop and implement analytical process to deliver insights and potential recommendations at the point of impact (sales/ service / product /operations teams in as close to real time as possible) to ensure our teams help achieve business unit and GRC performance goals (such as top-line revenue, cost efficiency, customer experience, and employee engagement). Supervise and provide guidance to ensure the seamless delivery of the insights generation (e.g. data feature creation, predictive model building and monitoring, UI design and implementation)

Other Duties:

1. Proactively pursues professional development activities (e.g., establishing personal networks)

2. Manages vendor resources on specific engagements (including structuring work, reviewing outputs and managing overall throughput)

3. Performs other relevant duties as requested by the Customer Insights leadership team.

Qualifications:

Education

- Bachelor's Degree in Statistics, Operations Research, Economics, Mathematics, Computer Science, Engineering, Technology or related field with 9 years- experience OR Post Graduate degree in Statistics, Operations Research, Economics, Mathematics, Computer Science,

- Engineering, Technology or related field with 7 years- experience

Experience

Minimum 4-5 years of experience in the machine learning / Artificial Intelligence / Advanced analytics space, who demonstrates:

- Collaborative and well versed in developing relationships across levels and functions of an organization

- Strong foundation in statistical methodologies (e.g., linear/logistic regression, Segmentation/classification techniques.)

- Advanced knowledge of data manipulation and analysis languages (e.g. Python/SAS/SQL/Spark/Hive etc.) as well as data visualization platforms (Tableau, PowerBI, etc.)

- Exceptional story-teller who can translate the advanced analysis into strong visuals that can drive business change.

- Experienced in communicating business recommendations and influencing business partners.

- Strong analytical and problem-solving skills.

- Good project management skills - able to handle multiple projects while being an active hands-on contributor.

- Highly motivated, organized; proactive self-starter and a team player.

- Excellent English is written and verbal communication.

- Utilizing the Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook).

Preferred: ~7 years of experience in the machine learning / Artificial Intelligence / Advanced analytics space, who demonstrates, including:

- Experience in a Business to Business setting a plus

- Experience working in a fast-paced consultative role a plus

- Experience developing analysis to support Sales and Service a plus

Essential Skills

- You have an attitude of transparency and a desire to bring customer insights to the business and management about development and you are able to grow trust

- You like to collaborate in a global and continuously changing environment

- You are able to work with local as well as remote and vendor team members

- You demonstrate ability to present analytical results to both technical and non-technical audiences

- You take ownership and make the required judgments whenever necessary

- Exhibit potential leadership traits with an outgoing personality.

- Coaching skills, ability to lead a team and to work together in a multicultural organization

- You are able to lead a team towards self-organization

- You embrace analytic thinking and work meticulously

- You enjoy working in a fun, innovative, demanding and dynamic environment.

- Good understanding of the challenges in the translation of business needs to analytical and machine learning solutions and algorithms

- Comfortable in explaining and defending his/her ideas and analysis, while still able to recognize the merits of others- opinions.

- Demonstrating commitment and results-oriented attitude.

- Fluent in English, both written & spoken.

- Obsessed by quality and passionate about his/her work.