Working at Cargill is an opportunity to thrive – a place to develop
your career to the fullest while engaging in meaningful work that
makes a positive impact around the globe. You will be proud to work
for a company with a strong history of ethics and a purpose of
nourishing people. We offer a diverse, supportive environment where
you will grow personally and professionally as you learn from some
of the most talented people in your field. We combine 153 years of
experience with new technologies and insights to serve as a trusted
partner for food, agriculture, financial and industrial
customers.
In 2014 we established the headquarters for our European shared
business services center in Bulgaria. Our center – Cargill Business
Services Sofia, who is rapidly growing, won the award for Shared
Service Centre of the Year for both 2017 and 2018.
Job Purpose and Impact
The Senior Analytics Engineer is responsible for evolving data
strategy and vision to continuously enhance business units’
business intelligence maturity. We seek a professional who will
partner with various functions to optimize data management process.
In this role you will also work as a data specialist/gatekeeper of
business intelligence platform.
Key Accountabilities
Contribute to the development of data strategy and vision.
Implement various business intelligence projects, provide data
solutions to business goals, devise business processes to acquire
datasets into business intelligence platform and deliver
appropriate data products to end users.
Answer ad-hoc queries on datasets and manage data source intakes as
the data expert/ gatekeeper of business intelligence platform.
Explore continuous improvement to business intelligence platform,
by addressing data quality root cause, encouraging end users to
self-serve, analyzing business requests, and implementing the
changes.
Coach users to assess and analyze data via various data tools, like
Hadoop User Experience, Tableau, Microsoft Power BI, Cloudera Data
Science Workbench, R program, Python or other new data tools.
Maintain data pipelines and architecture by providing sustainable
training of new data source intakes and business logic updated
within business intelligence team.
Encourage visibility and re-usability of data by co-owing meta-data
cataloging with users and technical teams.
You will work under minimal supervision and independently handle
complex issues while referring only the most complex issues to
higher-level staff.
Other duties as assigned.
Телефон: +359-2-4461-996
