CD

Cardlytics

- NASDAQ:CDLX
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# Ticker Symbol Entity Name Domain As Of Date Title URL Brand Category Location Text City State Country Posted Date Number of Openings Description Date Added Date Updated Ticker Sector Ticker Industry
1 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 7th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Dec 5th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Dec 6th, 2018 10:49PM Dec 6th, 2018 10:49PM
2 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 6th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Dec 5th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Dec 5th, 2018 11:02PM Dec 5th, 2018 11:02PM
3 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 5th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Dec 4th, 2018 11:00PM Dec 4th, 2018 11:00PM
4 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 4th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Dec 4th, 2018 05:56AM Dec 4th, 2018 05:56AM
5 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 3rd, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Dec 2nd, 2018 10:56PM Dec 2nd, 2018 10:56PM
6 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 2nd, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Dec 2nd, 2018 01:26AM Dec 2nd, 2018 01:26AM
7 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Dec 1st, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Nov 30th, 2018 10:55PM Nov 30th, 2018 10:55PM
8 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Nov 30th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Nov 29th, 2018 10:47PM Nov 29th, 2018 10:47PM
9 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Nov 29th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Nov 28th, 2018 10:50PM Nov 28th, 2018 10:50PM
10 nasdaq:cdlx www.cardlytics.com boards.greenhouse.io Nov 28th, 2018 12:00AM Data Engineer Open Analytics London, London, England, United Kingdom London GBR Nov 16th, 2018 12:00AM <p><strong>Overview</strong></p> <p>Cardlytics receives debit and credit card data relating to millions of customers each day. Interpreting and transforming that raw data into a meaningful asset is core to everything that we do.<br> We are looking for a Data Engineer with strong programming and analytical skills to join a vibrant and enthusiastic team of data professionals. You will work alongside smart and committed specialists in developing data solutions and data products for advertising technology. The role is appropriate for a candidate who is relatively new to the field, with excellent scope for learning, growth and progression in both data and analytics.</p> <p><strong>Key Responsibilities</strong></p> <p>You will be responsible for cleaning huge data sets and making them meaningful for our analysts, business intelligence functions and campaign activity. As such, a desire to understand and engage with the data content is at least as important as the ability to work with the data structure, including proactive investigation of the rich transactional data we hold at customer, merchant and market-vertical level. It is within your remit to find new and interesting ways to use our data to maximize its monetary value. </p> <p>Our data eco-system is primarily focused on Microsoft technologies i.e. Microsoft SQL Server and BI suite. You will also have scope to experiment with other software and technologies e.g. python, Tableau to solve new and exciting challenges that our platform generates. <br> </p> <p><strong>Required skills</strong> </p> <ul> <li>Strong understanding of writing SQL queries</li> <li>Knowledge of standard data structures, mining and manipulation</li> <li>Comfortable handling large data sets</li> <li>Proven ability to interrogate and analyse</li> <li>Appetite and ability to take innovative approaches to address complex challenges</li> <li>Attention to detail, with an ability to spot data anomalies and root out underlying causes</li> <li>Strong communication skills with a team-oriented spirit</li> </ul> <p><strong>Desirable skills</strong></p> <ul> <li>Knowledge of SQL Stored Procedures</li> <li>Knowledge of Python, R, SAS or other data related languages</li> </ul> Nov 27th, 2018 10:50PM Nov 27th, 2018 10:50PM

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