7 data analyst Jobs in colorado, co
Upwork is Hiring a Data Analyst Near Colorado, CO
Upwork has partnered with global provider of property, casualty, and specialty insurance and reinsurance.
To continue making an impact, they are looking to partner with an experienced Data Analyst to focus on defining the data needs for the enterprise data warehouse. The selected resource for this project will work within IT to help create an industry-leading data warehouse architecture. Furthermore, this data warehouse architecture will measure performance in all aspects of the organization’s operations.
Job Description
- Work with business stakeholders and IT teams to analyze and resolve data issues for the enterprise data warehouse.
- Create source (OLTP applications) to target (DWH) mapping documents to capture additional application data elements.
- Load the source-to-target mapping documents from source systems into the enterprise data warehouse.
- Collaborate with the ETL team to ensure the source-to-target mapping documents are in correct ETL code.
- Ensure the ETL code align with STM requirements.
- Perform data validation, to insure correct data movement into the enterprise data warehouse architecture.
- Consult with reporting teams to develop a general understanding for the data warehouse model / optimal ways to use it.
- Proven experience of data analysis – extraction of OLTP data within an enterprise data warehouse.
- Policy & Claims Insurance subject-matter expertise.
- Candidate has advanced level SQL knowledge.
- Possess optimal knowledge for concepts and frameworks for Data Warehousing, ETL, and BI Architectures.
- Candidate is capable of creating and tuning Semantic layer Reporting Views.
- Able to facilitate data discovery sessions, which will include an audience of business subject-matter experts.
- Proven knowledge of RDBMS platforms (e.g., SQL Server, DB2), with experience in generating DDL.
- Possess knowledge of Guidewire Policy Center, Guidewire Claims Center, SAP FS-RI & SAP FS-CD applications with their data is considered a plus.
- Education in Computer Information Science, Information Management, or Statistics.
- Onsite opportunity!
- Long term engagement
- Being part of a growing global company.
- Opportunity to work with a diverse international team.
- Potential for career development within the company.
Job Summary
Full Time
$92k-120k (estimate)
06/08/2024
08/07/2024
jenniegoassilverman.org
Chicago, IL
<25
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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
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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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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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
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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Step 3: View the best colleges and universities for Data Analyst.
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