Data Warehouse / Extract-Transform-Load / Business Intelligence Engineer (offline)
Key Responsibilities:
— Define and build a solid data infrastructure, underpinning enterprise scale BI analytics and reporting platforms
— Be the voice of analytics, support in-depth business reviews, and present to senior management
— Discover areas of the customer experience that can be automated through machine learning
— Partner with Product Management teams to drive requirements for new products and integrate data during product development
— Be a thought leader on data systems, data mining and analysis to scale our capabilities, uncover trends and develop insights
— Develop a long-term business intelligence strategy/analytics/tools roadmap and self-service reporting capabilities, and drive the implementation end-to-end
Basic Requirements:
— Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master’s degree
— 4+ years of work experience in data analysis, applied statistics or econometrics
— 4+ years of experience with data querying languages SQL/PL SQL
— 4+ years of experience with large-scale data warehousing and analytics projects, modeling, ETL development
— 4+ years of experience with programming languages: Python/Java/Scala, or
— Experience with statistical/mathematical software R/Weka/SAS/Matlab, data extraction, manipulation, statistical analysis and predictive modeling
— Experience in projects involving cross-functional teams and leaders to build scalable processes and metrics
— Experience articulating business questions and using quantitative techniques to arrive at a solution using available data
— Experience building data products incrementally and integrating and managing datasets from multiple sources
— Experience with hardware provisioning, forecasting hardware usage, and managing to a budget
— Proven track record of sharing analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
— Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective data strategy
— Nice to have: experience with DWH / ETL using Amazon Web Services technologies (DMS, Glue, Redshift, Athena etc).
Additional Details:
— Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.
— Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
— Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
— Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
— Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
— Experience with data visualization software such as Tableau
— Define and build a solid data infrastructure, underpinning enterprise scale BI analytics and reporting platforms
— Be the voice of analytics, support in-depth business reviews, and present to senior management
— Discover areas of the customer experience that can be automated through machine learning
— Partner with Product Management teams to drive requirements for new products and integrate data during product development
— Be a thought leader on data systems, data mining and analysis to scale our capabilities, uncover trends and develop insights
— Develop a long-term business intelligence strategy/analytics/tools roadmap and self-service reporting capabilities, and drive the implementation end-to-end
Basic Requirements:
— Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master’s degree
— 4+ years of work experience in data analysis, applied statistics or econometrics
— 4+ years of experience with data querying languages SQL/PL SQL
— 4+ years of experience with large-scale data warehousing and analytics projects, modeling, ETL development
— 4+ years of experience with programming languages: Python/Java/Scala, or
— Experience with statistical/mathematical software R/Weka/SAS/Matlab, data extraction, manipulation, statistical analysis and predictive modeling
— Experience in projects involving cross-functional teams and leaders to build scalable processes and metrics
— Experience articulating business questions and using quantitative techniques to arrive at a solution using available data
— Experience building data products incrementally and integrating and managing datasets from multiple sources
— Experience with hardware provisioning, forecasting hardware usage, and managing to a budget
— Proven track record of sharing analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
— Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective data strategy
— Nice to have: experience with DWH / ETL using Amazon Web Services technologies (DMS, Glue, Redshift, Athena etc).
Additional Details:
— Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.
— Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
— Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
— Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
— Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
— Experience with data visualization software such as Tableau
About Erbis
ABOUT US:Established in 2012, Erbis is UK IT-Services Company with the
development center in Eastern Europe (Ukraine).
Our company consists of experts in the software industry, especially in cloud
computing, enterprise development and outsourcing.
We focus on design and development of turnkey innovative software solutions for
worldwide customers.
We are passionate about creating advanced products and working on complex
projects requiring highly qualified experts and non-standard engineering solutions.
This distinction helps us maintain the unique product development atmosphere in our company.
We have developed systems of any complexity, such as: In-House ERP, Business
Process Management Software, CRM, Accounting Solutions, Online Bookings and Ticketing Service etc.
Our key customers are mostly from Germany, Denmark, UK and the USA. They are
manufacturing, consulting, healthcare and start-up companies.
Company website:
https://erbis.com/
DOU company page:
https://jobs.dou.ua/companies/erbis/
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