Data Integration Analyst (Open to hiring at the Senior Level)

This role will support the Enterprise CRM team and the growth in useful data available to assist with business decision making. You will consult with business and technology areas to understand business functions processes challenges opportunities and systems impacts. You will use your strong SQL skills to improve the integration of data from multiple internal and external sources. You will enjoy looking for alternative system solutions to meet overall business requirements. At times you will need to assist with eliciting requirements and when appropriate write user stories.  In addition you will support operational and analytic data needs within for the Enterprise CRM team by handling complex data projects and ensuring the completion of data analysis and mapping activities. 

Job Leveling Note: This role can be filled at regular or senior level depending on work experience skills and demonstrated ability.  We invite you to apply whether you have the minimum experience required described below or if you have much more experience!  

Qualifications :

Preferred: 

• Bachelors Degree 
• Any prior enterprise CRM experience (Microsoft Dynamics) 
• Experience working within an agile team and/or assisting a team through an agile transformation. 
• Experience using agile management tools such as Azure DevOps 

Required: 

• Bachelors Degree in a quantitative discipline such as computer science engineering statistics mathematics economics or direct and applicable work experience. 
• Minimum 2 years experience with various data techniques such as: gap analysis data profiling and source to target mapping for both structured and unstructured data sources (ETL Widgets JSON etc.).  
• SQL skills including knowledge of joining multiple data sources; hands on experience with advanced SQL functions such as: creating sub queries joining grouping and filtering to analyze data sources. 
• Strong analytical skills with the ability to read and understand data models and give input to data modeling based on data analysis results. 
• Strong communication skills (both written and verbal) to express complex technical concepts effectively and ability to influence others. 
• Microsoft Office Suite; including the use of spreadsheets presentation and word processing software. 
• Ability to work independently or in a team. 

Additional Information :

a. Analyze new and existing structured and unstructured data sources. Use data mining techniques to review data for anomalies and gaps in data patterns and correlations and transform data into actionable and meaningful solutions for the business. 

b. Work with Information Product/Platform teams to understand data requirements. Research data related questions effectively communicate risks and issues and provide recommendations on the best ways to integrate new data with existing data. 

c. Collate data analysis in a meaningful way and present findings to peers project core team Information Product/Platform teams and Stakeholders. 

d. Document and/or oversee the documentation of data transformation logic data mappings and query logic to support complex data integrations. 

e. Complete source to target documentation in the data design document. Ensure mappings can be easily understood by others including IT Solutions Developers or other technical stakeholders. 

f. Collaborate with the Sr Data Integration Analyst to further understand the project level data flow data requirements and analytic reporting needs. 

g. Collaborate with the data modeler to understand the data models and to identify and lead resolution of gaps in the data model to meet the needs of Information Products. 

h. Query and analyze the data to acquire essential business information to drive out quality transformation logic and mappings that meet the data requirements. 

i. Communicate and collaborate effectively with data governance analysts to enable data governance stewardship and data quality management processes throughout analysis and mapping deliverables. 

j. Other duties as assigned. 

All your information will be kept confidential according to EEO guidelines.

An Equal Opportunity Employer

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