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DATA SCIENTIST CUSTOMER ANALYTICS DOMAIN

Job ID: CAD22
Reports to: Services Division’s Director, or Deputy Director, or Manager(s)
Start Date: asap
Location: Athens, Greece

PURPOSE AND SCOPE

Our Services department that has led the market in the field of Advanced Analytics applications for 35+ years, offers an opportunity to Data & Analytics professionals to become part of a successful Professional Services’ team, providing consulting and implementation services to a diverse, cross-industry clientele. We are looking for someone to unite with of our experts’ team and support our efforts in the application of Data Mining, Predictive Analytics and Optimisation methodologies, leading to the realisation of robust, integrated Analytical assets, the results of which feed the tuning of companies’ everyday operations across multiple domains.

ACCOUNTABILITIES

Have ownership of data-marts’ and data management/transformation flows, ensuring that data is processed in an automated, easy-to-read format, with appropriate KPIs, to help drive strategy, vision and decision-making for key stakeholders
Leverage multiple data sources, establish unified customer data views and reports with clear KPIs. Supplement with key insights – actionable nuggets that business partners can respond to
Work with CRM – or/and alternative – teams to establish single customer views and measurements of personalisation programs
Apply customer profiling, leading to customer segmentation schemes, based on enterprise strategy, customer value and customer behaviour
Apply propensity modelling, association analysis, forecasting analysis, etc. to predict different kind of events, or forecast quantitative outcomes
Work on developing and expanding customer experience and customer loyalty boosting approaches, via tracking key KPIs to measure their success over time
Collaborate with peers for the rollout of a vision via the set-up of an infrastructure of Analytical tools and customised Data Mining/Advanced Analytics assets, directing customer centricity logics, including targeted campaigns, focusing on customer level offer optimisation
Translate complex data information in tangible business information, explain findings and present insights, keeping vital – non-technical – stakeholders aligned/onboard, ensuring utilisation of developed Analytical Assets in the long-run

SKILLS AND EXPERIENCE

Degrees (MSc preferable – BSc acceptable) in Mathematics, Statistics, Computer Science or other relevant quantitative field;
A minimum of 2 years experience in Banking, Telecommunication or other industry (CRM or other data management & analysis related area);
Expertise in data mining, data management, assessing data quality, building appropriate data environments (data-marts, data models, KPI universes, etc)
Experience in segmentation methods, as well as propensity and association modelling for customer growth and retention;
Experience in overall modelling methodology, including modelling process monitoring, performance evaluation, selection of appropriate/best model, etc.)
Knowledge of analytical tools, and programming/scripting languages, such as SPSS Modeler, (ex. Clementine), SPSS Statistics, SAS, R, Python (will be considered a strong asset)
Knowledge of BI/Reporting/Visualisation platforms, like MS Power BI, Tableau, QLIK
Problem solving, collaborative and proactive attitude
Strong structural, communication and presentation skills
Curiosity to grow via experimenting with new technologies and methodologies
Ability to deliver assigned work (part of an overall project) on time and at adequate quality
Fluent in English

PREDICTA CULTURE

PREDICTA is a market leader in providing Analytics Solutions, capitalising on the fact of being a small-medium-sized, boutique-style company, characterised by integrity, flexibility and proximity, achieving high-quality usable deliverables for our clients.

By co-piloting and supporting our clients’ data initiatives, we deliver comparative advantages and huge benefits to their businesses, staying true to our core value for “Customer Success”.

The company’s culture is characterised by its people, who demonstrate self-driven initiative and professionalism, reciprocating support amongst internal and external teams and have a warm positive approach in their day-to-day work life.

We believe in the constant growth and development of our experts; and so to succeed, the role holder will demonstrate our values in everything they will do.