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Junior Data Analyst

The Coca-Cola Company

  • Location: Sofia, SO - BGR
  • Post Date: 11/8/2018
  • Job Type: FULL TIME
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Job ID: R-20376

Position Overview:

We are looking for a Data Analyst that will help us discover the information hidden in vast amounts of marketing data and make smarter decisions to deliver better digital experiences for our consumers, customers and internal users. The primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. The Data Analyst position within the Europe, Middle East & Africa region (EMEA) reports into the EMEA Regional Delivery Center Solution Delivery Lead with a functional reporting line to the Global IT Director for Marketing in EMEA. 

The Data Analyst will work closely with our Marketing Data Scientist, business stakeholders, marketing project/program managers, and other IT teams to turn marketing data into critical information and knowledge that can be used to make sound and predictive decisions in the area of Marketing, Communications and Business Development.

Function Specific Activities:

Required Skills:

  • Programming skills in R or Python
  • Working proficiency in English
  • Experience in every stage of the data science project lifecycle: data collection, data preparation, model building, testing and deployment (consumer, survey, website data, transactional data)
  • Some knowledge of and willingness to learn standard Machine Learning techniques (supervised - Linear & Logistic Regression, Random Forests, SVMs, SEMs; unsupervised - dimensionality reduction, cluster analysis)
  • Knowledge of interactive visualization and BI platforms (Tableau/Qlikview/ Power BI)
  • Background in Data Science for Marketing - consumer segmentation, recommendation systems, campaign optimization, key driver analysis, forecasting, market basket analysis

Recommended Skills:

  • Previous experience in working with relational databases and query languages
  • Familiarity with ORMs and building applications backed by relational, Key/Value and document databases
  • Experience in Agile Development practices, Scrum, Test and Behavior Driven Development, Domain Driven Design
  • Exposure to Cloud Services is a plus: SQL and NoSQL storage tools, ETLs, Data Streams and APIs
  • Experience in data mining: web scraping, indexing, topic modelling, sentiment analysis
  • Familiarity with AI research: image recognition, NLP, voice recognition

Soft Skills:

  • Assumes a proactive role, identifies valuable opportunities in data and assumes leadership of project development and delivery
  • Enjoys working in a fast-paced, agile & results-driven environment and collaborating within multi-functional and cross-border teams
  • Keen and capable of understanding business needs, leveraging relevant data and applying innovative analytical methods to solve them
  • Ability to translate analytical results into business insights and communicate them to non-technical audiences
  • Willingness and desire to learn about and adapt to emerging technologies, solutions and approaches in the Machine Learning and Analytics fields


  • University degree in Mathematics/Statistics/Computer Science or Physics

Work Experience:

  • 1-5 years of experience in data analytics
  • Experience working with and within geographically distributed teams will be an asset

Job Requirements:

Explore and analyze the data landscape of EMEA and identify opportunities for data analysis
Identify and collect intelligence on KPIs for our digital properties, social media activity and e-commerce tools
Establish and lead individual Data Science projects for EMEA Business Units (stakeholders)
Set up data ingestion and preparation flows within Cloud Infrastructure
Build models and apply Machine Learning techniques to owned and third-party data
Automate data and model validation procedures
Visualize and present project results in online dashboards to digital managers
Collaborate closely with data engineers and development teams to integrate Machine Learning Solutions as web services into digital solutions and architectures
Provide expert advice and contribute to large-scale digital acceleration initiatives within EMEA
Assist the EMEA IT Marketing Team in embedding a data driven culture throughout the organization
Partner with the associates, including front facing IT staff to understand the strategy and needs of the EMEA business units
Enhancing data collection procedures to include information that is relevant for building analytic systems. Provide inputs into requirements and architecture of our systems

Years of Experience:

Leadership Behaviors:

  • DRIVE INNOVATION: Generate new or unique solutions and embrace new ideas that help sustain our business(encompassing everything from continuous improvement to new product and package innovation). 
  • COLLABORATE WITH SYSTEM, CUSTOMERS, AND OTHER STAKEHOLDERS: Develop and leverage relationships with stakeholders to approximately stretch and impact the System (Company and Bottler).
  • ACT LIKE AN OWNER: Deliver results, creating value for our Brands, our System, our customers, and key stakeholders. 
  • INSPIRE OTHERS: Inspire people to deliver our mission and 2020 Vision, demonstrate passion for the business and give people a reason to believe anything is possible. 
  • DEVELOP SELF AND OTHERS: Develop self and support others' development to achieve full potential. 

Growth Behaviors:

  • GROWTH MINDSET: Demonstrates curiosity. Welcomes failure as a learning opportunity.
  • SMART RISK: Makes bold decisions/recommendations.
  • EXTERNALLY FOCUSED: Understands the upstream and downstream implications of his/her work. Tracks and shares external trends, best practices or ideas.
  • PERFORMANCE DRIVEN AND ACCOUNTABLE: Has high performance standards. Outperforms her/his peers.
  • FAST/AGILE: Removes barriers to move faster. Experiments and adapts. Thrives under pressure and fast pace.
  • EMPOWERED: Brings solutions instead of problems. Challenges the status quo. Has the courage to take an unpopular stance.

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