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  1. Mid-Level Data Scientist

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Money Market Α.Ε.

Mid-Level Data Scientist

Full Time

Mid-Level

location_iconAthens, Greece

when_icon 2020-08-04

salary_icon -

info iconBasic Information

About insurancemarket.gr

  • We are currently the No 1 Insurance & Energy comparison and brokerage website in Greece with over 95% market share among online aggregators.
  • We are certified by the Great Place to Work® Institute
  • We compare and offer commercial & custom made policies/products from more than 25 insurance companies and 10 energy companies
  • We are quoting over 1m drivers every year approximately 70% of total switchers in Greece with an NPS of 80 among our customers.
  • Our 90+ Insurance & Energy Experts are 24/7 available for our customers
  • We are financially backed since 2013 by one the biggest Dutch Insurance Groups.

Our vision is to provide the easiest way for consumers and households to find and obtain the best service for their needs, empowering our people and benefiting society.

We are looking for a passionate certified Data Scientist. The successful candidate will turn data into information, information into insight and insight into business decisions.

job description iconResponsibilities

Your daily responsibilities will consist of:

  • Collecting, unifying, cleaning and analyzing data from different sources (GA, CRM, Own Site, Satisfaction, BlueByte, etc.) 
  • Collecting useful data and creating dashboards using said data
  • Interpreting data, analyzing results using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases

More precisely, your responsibilities will include:

  • Interpreting data, analyzing results using statistical techniques and providing ongoing reports
  • Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases/data systems
  • Identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Filtering and “cleaning” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Working with management to prioritize business and information needs
  • Locating and defining new process improvement opportunities
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end users on new reports and dashboards.
  • Providing technical expertise on data storage structures, data mining, and data cleansing.
job description iconBenefits

Benefits:

  • A positive working environment. We believe success comes from the energy of our people.
  • A great opportunity to grow in a diverse team.
  • Competitive Pay
  • Opportunities for continued education and training
  • Team building and social activities

What’s in it for you:

  • Competitive full-time salary & Performance Bonus
  • Private Health Coverage on the Company’s group program
  • Opportunities to participate in cutting-edge training and conferences of your choice in Greece and abroad
  • A great opportunity to grow and work with the most amazing people in the industry
  • Being part of an environment that gives employees large goals, autonomy
  • and mentoring, which creates incredible opportunities, both for you and the company
  • A relaxed and modern working atmosphere located in the heart of Athens
  • Personalized working station & laptop
  • Free Nespresso coffee
  • Flexible working hours, top line tools

You want more?

We also offer a discount on your gym membership, discounts from big retailers, play rooms, we pay for your participation in running events and once every month we are throwing a party in our arena….

job requirements iconBasic Requirements
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics
  • 2+ Years of proven working experience as a Data Scientist/Analyst or Business Data Scientist/Analyst
  • Experience with Click View or any other Data Visualization tool
  • Experience in data analysis using Python/R
  • A data-based mindset
  • Ability to form and create reports in order to communicate results
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R, Python)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Ability to work with stakeholders to assess potential risks
  • Ability to analyze existing tools and databases and provide software solution recommendations
  • Ability to translate business requirements into non-technical, lay terms
good to have iconGood to have
  • Experience with B2C data (Banking / Finance / Insurance sector)
  • High-level experience in methodologies and processes for managing large scale databases
  • Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards
  • Great interpersonal and communication skills, while establishing and maintaining effective work relationships with team members
  • High-level written and verbal communication skills