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Business Data Analyst in CDQ

Posted more than 30 days ago

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CDQ

CDQ

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0 reviews
Without experience
Full-time work
Data Sharing - the best way to better data. We are passionate about new technologies and we constantly improve our stack. There is always enough room to learn the ropes as we provide internal and external training and education. We are looking for a person who loves high quality of code and who is interested in big sets of data. 90% of the world's data  has been produced in just the last two years. Our mission is to help companies with our innovative Data Quality Services. CDQ is the  first com

Data Sharing - the best way to better data.

We are passionate about new technologies and we constantly improve our stack. There is always enough room to learn the ropes as we provide internal and external training and education. We are looking for a person who loves high quality of code and who is interested in big sets of data.
90% of the world's data  has been produced in just the last two years. Our mission is to help companies with our innovative Data Quality Services. CDQ is the  first company in the market  to leverage Data Sharing as the best way to better data. Our customers share data quality rules, enrich their data from publicly shared sources, exchange hand-validated data records, and alert each other of data fraud. The result of collaborative master data management: Higher efficiency, shared efforts, better quality, less risks.

With our cloud-based software platform, CDQ can provide  Data Quality as a Service  – customers master data is monitored and updated continuously, using our Data Quality Tools software or fully integrated with their ERP or CRM systems.

We are seeking new Analysts to support our Customer Success Team in the sales, onboarding, and retention process. Your responsibilities will include analyzing prospect customers’ data, as well as visualizing and explaining the results of preliminary (sample) data analyses both to prospects customers and sales colleagues. Your focus will be on CDQ “get-clean” projects, following the proven CDQ standard 7-step approach, and CDQ Proof of Value (PoV) projects, demonstrating the value of CDQ services in new implementations to customers. 

Recruitment steps:

  1. Screening (15-30 min) -> We want to get to know you and answer your questions - it is up to you how much time we need.
  2. Recruiting Task -> We want to learn more about your technical skills
  3. Video call (1h/2h)-> Let's talk about your working style, exchange experiences, and get to know each other a little better.

Job details:

  • Recruitment language: Polish & English
  • Flexible hours
  • Work remotely, hybrid (office in Wrocław)
  • Team meetings once a quarter

Must have: 

  • Experience in data analysis
  • Data exploration tools (Excel or Jupyter and Pandas)
  • JSON/CSV/XML
  • Attention to detail
  • Team player – you will support customer success managers, collaborate with 2 other Business Data Analysts, and work directly with customers
  • Good communication skills
  • Proficient in English – you may be required to participate in customer calls and workshops
  • Experience in analyzing internal and external data through quantitative research, including profiling and mapping

Nice to have: 

  • Working with APIs – our CDQ data solutions are API-based.
  • Experience with BI tools, particularly Power BI, is preferred and will be considered an asset.
  • Good command of Polish and German – you will collaborate with a team consisting of Polish and German native speakers.

Data Sharing - the best way to better data.

We are passionate about new technologies and we constantly improve our stack. There is always enough room to learn the ropes as we provide internal and external training and education. We are looking for a person who loves high quality of code and who is interested in big sets of data.
90% of the world's data has been produced in just the last two years. Our mission is to help companies with our innovative Data Quality Services. CDQ is the first company in the market  to leverage Data Sharing as the best way to better data. Our customers share data quality rules, enrich their data from publicly shared sources, exchange hand-validated data records, and alert each other of data fraud. The result of collaborative master data management: Higher efficiency, shared efforts, better quality, less risks.

With our cloud-based software platform, CDQ can provide  Data Quality as a Service – customers master data is monitored and updated continuously, using our Data Quality Tools software or fully integrated with their ERP or CRM systems.

We are seeking new Analysts to support our Customer Success Team in the sales, onboarding, and retention process. Your responsibilities will include analyzing prospect customers’ data, as well as visualizing and explaining the results of preliminary (sample) data analyses both to prospects customers and sales colleagues. Your focus will be on CDQ “get-clean” projects, following the proven CDQ standard 7-step approach, and CDQ Proof of Value (PoV) projects, demonstrating the value of CDQ services in new implementations to customers. 

Recruitment steps:

  1. Screening (15-30 min) -> We want to get to know you and answer your questions - it is up to you how much time we need.
  2. Recruiting Task -> We want to learn more about your technical skills
  3. Video call (1h/2h)-> Let's talk about your working style, exchange experiences, and get to know each other a little better.

Job details:

  • Recruitment language: Polish & English
  • Flexible hours
  • Work remotely, hybrid (office in Wrocław)
  • Team meetings once a quarter

,[Gather requirements from the customers clients (business and technical) , Using data to understand business patterns and trends , Analyze internal and external data through quantitative research , Communicate findings to the company through standard and ad hoc reports , Promote good practices in data analysis and reporting , Assessing the quality of data and adjusting or cleaning data ] Вимоги: Business analysis, Excel, Jupyter Notebook, JSON, Power BI, pandas, Python Бонуси та переваги: Training budget, Private healthcare, Flat structure, Small teams, International projects, Life insurance, International environment, Conference budget, In-house trainings, Team Events, New technologies, Free coffee, Canteen, Bike parking, Playroom, Free snacks, Free beverages, Modern office, Startup atmosphere, No dress code, Kitchen, Free lunch.

Without experience
Full-time work
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