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Data Analyst Opportunity
Job Description
Group's responsibility:
This team's focus is on proprietary data, specifically customer transactions data to support user cases for marketing, risk management to identify customers who have certain types of transactions or activities with the company.
This team is heavily reviewing customer transaction data and customer deposits.
You would be working with the Product Owner who recently joined the team. The Product Owners role is to meet with the Scrum Team who work on the user cases, by leveraging the customer transactions.
The Product Owners tasks is to use customer transactional data to support ongoing user cases. They are also getting something more foundational to have a deeper understanding of the analytics of the customer transaction data. In order to have an holistic understanding of how customers transactions are categorized. As well as, how the counter parties of the transactions are identified.
This position is to assist the Product Owner the analytics of the customer transaction data, specifically for customer data categorization, and counter party categorization. In order to link those back to customer accounts, customer ID, and household ID's in our customer base.
If this is of interest to you apply today!
Other
Business Services
$55k-75k (estimate)
03/24/2023
05/30/2023
experis.us
CIUDAD DE MEXICO, CIUDAD DE MEXICO
3,000 - 7,500
2011
MONICA GRISELDA FLORES BARRAGAN
$10M - $50M
Business Services
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A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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