Eaton

Location: Istanbul, TR

Do you want to work for a global company where promoting gender equality is central to our vision of creating a truly diverse and inclusive business? Where everyone matters, and everyone belongs?

Join us and help us provide energy-efficient solutions that make a real impact. We make what matters work. To find out more about us check: https://www.youtube.com/watch?v=baa_aiJ4L7E

The Paid Media - Data Scientist will be responsible for managing data and analysis of Media Buying results. Reporting directly to the Web and Marketing Automation Manager and functionally to the EMEA Head of Advertising and Demand Generation, the Paid Media Data Scientist will be in charge of creating the reporting structure and process for media buying activities in EMEA. This includes the creation of reports in Power BI and other tools via database lookups, data matching and finding automated solutions for manual data transfer from various data sources such as Google Analytics, Google Ads, Facebook and LinkedIn.

The Paid Media Data Scientist will work on the development and implementation of the business intelligence tools and analytics, which will require communicating between upper management and the Analytics center of excellence, as well as analyzing data to support the company's continuous improvement efforts.

Working closely with the media buying team, he/she will drive Eaton’s digital and analytics transformation and contribute to building analytics frameworks for the organisation. He/She will work in a big data enviroment, apply machine learning and statistical techniques, and create data visualisations to answer current business questions and increase productivity. He/She will support process harmonization and apply Scrum methodology to analytics development.

Your Main Responsibilities

• Developing and managing business intelligence solutions for the organization
• Oversee the deployment of data to the data warehouse
• Monitor scheduled ETL processes
• Advise peers and other teams on how to improve their data maturity and identify compelling data opportunities
• Apply Agile, SCRUM, and lean methodologies (stand-up, sprint review, kanban, kaizen, user stories) to product development
• Act as a primary liaison on advertising analytics for business stakeholders (EMEA Sales and Marketing)
• The Paid Media Data Scientist will be in charge of setting up reporting processes, database connections and reporting of paid media campaigns via tools such as Power BI. His key tasks will be the following:
• Managing the data feeds for advertising partners
• Making sure that the data is integrated into other sales and marketing systems such as Eloqua
• Identifying automatic ways of data matching via scripts and data modelling tools to increase productivity
• Creating advertising reports in Power BI
• Enabling datasets to create reports that surface our advertising data in Power BI
• Automating reports and data workflows (using tools such as Power Automate, etc.)
• Conducting end-to-end analyses from the idea phase all the way through to end results including the presentation and communication of findings
• Performing exploratory data analyses on large and complex data sets using descriptive statistics
• Applying appropriate statistical or machine learning techniques (regression, classification, clustering) to model complex problems, find opportunities to increase sales productivity, discover solutions, and deliver actionable business insights
• Managing, maintaining, and cleaning complex datasets in big data environment

This is an excellent opportunity for an Data Scientist with an internationally large scope across EMEA, which is perfectly suited for an individual with excellent project management skills, attention to detail, analytical capacities and an understanding of digital marketing.

Qualifications

• Degree in quantitative field (such as maths or computer science) or 5+ years of experience in data science/data analytics
• 1-3 years of experience in data analytics
• Advanced Excel skills, database management and data modelling knowledge
• Experience with data modeling tools such as Power BI and Cloudera or similar (Tableau, Qlickview, SAS data visualization, Microstrategy, Cognos, Business Objects, Pyramid analytics, Looker, etc)
• Data science tools such as Alteryx, Knine, Data Iku, SAS enterprise guide (SAS EG), Rapid Miner, Tipco data science
• General understanding of marketing and ideally advertising
• Having Ability to Automate extracts from system, Set up ODBC drivers, Connect to Hadoop/Cloud data marts
• Good knowledge of Sql: Joins, Filters, Calculated Columns,Power Query/Dax, Parsing & RegEx, Complex data modeling, Integration of multiple datasets, Metadata enrichment, Manipulation of unstructured text files
• Experience with Power BI or similar
• Enhanced reporting techniques: Highlighting, comparisons, benchmarking, trends, Graphical design, Excel Pivot Tables,
• Ability on Machine Learning such as Regression, Univariate Testing, Non parametric distribution, Programming in Python or R, Jupiter notebooks
• Understanding of Averages, Distribution, Correlation, Scrum methodologies, Continuous improvement methodology, Prepare UAT scripts, Report testing, Documentation
• Ability to work on Google Ads, Google Analytics, Social Media advertising (preferrably on LinkedIn or Facebook);
• Programmatic advertising knowledge; Search Engine Marketing & Optimization;
• Web content management; Marketing Automation; Contact database management
• Content Orchestration platforms such as Percolate,
• General skills in common Marketing Technology platforms; Tagging knowledge
• Strong interpersonal skills, including written and oral communication skills. Experience on working with, and presenting to, senior executives, comfort dealing with ambiguity and the ability to work independently
• Ability to streamline functions and passion to learn and grow, analytical mindset, agile, creative/out of the box thinking, attention to detail, project management skills, general curiosity for analysing, ability to think critically and see the big picture
• Ability to present complex analysis results to both technical and non-technical global audiences
• Unquestioned integrity and the highest ethical standards
• High level of analytical and problem-solving skills with strong attention to details and dedication to data accuracy

What You’ll Do

The Paid Media Scientist will be responsible for managing data and analysis of Media Buying results. Reporting directly to the Web and Marketing Automation Manager and functionally to the EMEA Head of Advertising and Demand Generation, the Paid Media Data Scientist will be in charge of creating the reporting structure and process for media buying activities in EMEA. This includes the creation of reports in Power BI and other tools via database lookups, data matching and finding automated solutions for manual data transfer from various data sources such as Google Analytics, Google Ads, Facebook and LinkedIn.

The Paid Media Data Scientist will work on the development and implementation of the business intelligence tools and analytics, which will require communicating between upper management and the Analytics center of excellence, as well as analyzing data to support the company's continuous improvement efforts.

Working closely with the media buying team, he/she will drive Eaton’s digital and analytics transformation and contribute to building analytics frameworks for the organisation. He/She will work in a big data enviroment, apply machine learning and statistical techniques, and create data visualisations to answer current business questions and increase productivity. He/She will support process harmonisation, and apply Scrum methodology to analytics development. "

On a continuous basis, the Paid Media Analyst will be responsible for:

• Developing and managing business intelligence solutions for the organization
• Oversee the deployment of data to the data warehouse
• Monitor scheduled ETL processes
• Advise peers and other teams on how to improve their data maturity and identify compelling data opportunities
• Apply Agile, SCRUM, and lean methodologies (stand-up, sprint review, kanban, kaizen, user stories) to product development
• Act as a primary liaison on advertising analytics for business stakeholders (EMEA Sales and Marketing)

Reporting Data Ingestion

The Paid Media Data Scientist will be in charge of setting up reporting processes, database connections and reporting of paid media campaigns via tools such as Power BI. His key tasks will be the following:

• Manage the data feeds for advertising partners
• Make sure that the data is integrated into other sales and marketing systems such as Eloqua
• Identify automatic ways of data matching via scripts and data modelling tools to increase productivity

Power BI Report Creation And Optimization

• Create advertising reports in Power BI
• Enable datasets to create reports that surface our advertising data in Power BI
• Automate reports and data workflows (using tools such as Power Automate, etc.)
• Conduct end-to-end analyses from the idea phase all the way through to end results including the presentation and communication of findings
• Perform exploratory data analyses on large and complex data sets using descriptive statistics
• Apply appropriate statistical or machine learning techniques (regression, classification, clustering) to model complex problems, find opportunities to increase sales productivity, discover solutions, and deliver actionable business insights
• Manage, maintain, and clean complex datasets in big data environment

This is an excellent opportunity for an Data Scientist with an internationally large scope across EMEA, which is perfectly suited for an individual with excellent project management skills, attention to detail, analytical capacities and an understanding of digital marketing.

Qualifications

Degree in quantitative field (such as maths or computer science) or 5+ years of experience in data science/data analytics

1-3 years of experience in data analytics

Skills

Minimum knowledge:

Advanced Excel skills, database management and data modelling knowledge

Preferred Skills

Experience with data modeling tools such as Power BI and Cloudera or similar (Tableau, Qlickview, SAS data visualization, Microstrategy, Cognos, Business Objects, Pyramid analytics, Looker, etc)

Data science tools such as Alteryx, Knine, Data Iku, SAS enterprise guide (SAS EG), Rapid Miner, Tipco data science

General understanding of marketing and ideally advertising

Data Engineering: Ability to

• Automate extracts from system
• Set up ODBC drivers
• Connect to Hadoop/Cloud data marts

Data Transformations: good knowledge of

• Sql: Joins, Filters, Calculated Columns
• Power Query/Dax
• Parsing & RegEx
• Complex data modeling
• Integration of multiple datasets
• Metadata enrichment
• Manipulation of unstructured text files

Data Visualisation

• Experience with Power BI or similar
• Enhanced reporting techniques: Highlighting, comparisons, benchmarking, trends, Graphical design
• Excel Pivot Tables

Machine Learning

• Regression
• Univariate Testing
• Non parametric distribution
• Programming in Python or R
• Jupiter notebooks

Statistics: Understanding of:

• Averages
• Distribution
• Correlation

Project Management

• Scrum methodologies
• Continuous improvement methodology
• Prepare UAT scripts
• Report testing
• Documentation

Additional Assets

Google Ads, Google Analytics, Social Media advertising (preferrably on LinkedIn or Facebook); Programmatic advertising knowledge; Search Engine Marketing & Optimization; Web content management; Marketing Automation; Contact database management; Content Orchestration platforms such as Percolate; general skills in common Marketing Technology platforms; Tagging knowledge

• Strong interpersonal skills, including written and oral communication skills
• Experience working with, and presenting to, senior executives
• Comfort dealing with ambiguity and the ability to work independently
• Ability to streamline functions and passion to learn and grow
• Analytical mindset, agile, creative/out of the box thinking, attention to detail, project management skills
• General curiosity for analysing, ability to think critically and see the big picture
• Ability to present complex analysis results to both technical and non-technical global audiences
• Unquestioned integrity and the highest ethical standards
• High level of analytical and problem-solving skills with strong attention to details and dedication to data accuracy "