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1

Data Analyst Intern
Job Type: Internship
Location:  Attleboro, MA
Responsibilities
• Proactively audit, uncover, and resolve data integrity issues in Salesforce.com
• Interpret data, analyze results, and make recommendations on how to improve usage of CRM and Digital Marketing
• Identify trends or patterns in complex data sets
• Filter and clean data for various business functions
• Review and assess current state to identify and recommend improvement opportunities
• Design and create global Reports / Dashboards in Salesforce and Sensata.com in accordance with corporate goals
• Locate and define new process improvement opportunities
• Present weekly progress to team

Qualifications
• Working towards Bachelor degree in Analytics or MIS
• Fluent in spoken and written English
• Ability to work independently in a fast-paced environment
• Self-motivated and able to grasp concepts quickly
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with a CRM is a plus
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint)

2

Data Analytics Intern
Job Type: Internship
Location:  Raleigh, NC
Responsibilities
• Assist in Day-today operations
• Assist in Development and QA of New Product Releases and Enhancements
• Provide thoughtful ideas and input on projects in progress

Qualifications
• Knowledge of the Financial Services industry is preferred
• Knowledge of Development processes id preferred
• Experience with SQL or .net is preferred
• Enrolled in an accredited College/University

3

Data Analyst
Job Type: Full-time
Location:  Irving, TX
Responsibilities
• Technically able to understand and create complex ETL processes.
• Work hand-in-hand with client
• Effectively utilizes programming tools and applications (SQL, ETL, and Oracle).  
• Plays a role in thought leadership and uses strong consultative skills.
• Monitors quality control on deliverables prior to client distribution. Ensures the client team is following quality control procedures as applicable
• Based on business requirements, contributes to detailed technical requirements and specifications; identifies missing details in the business requirements and engages the appropriate resource(s) for clarification.
• Become an internal expert in ETL, CDI and complex Datamart Build services for campaign, reporting and analytics processes.
• Develops mapping and data processing procedures to import data from various data sources and populate the client database.
• Demonstrates knowledge of the data model and the data, to provide insights and recommendations.
• Develops data extracts and procedures to support internal and client (external) business analytics.
• Actively involved in troubleshooting data / data process anomalies and works with the team to efficiently identify solutions.
• Coordinates with cross-competency teams to ensure quality deliverables.
• Consistently follow best practices and standards defined by the team / organization.
• Contributes to the project estimation process.
• Multitasks through project execution and prioritizes accordingly, ensuring project deadlines are met and deliverables are completed in a timely fashion.
• Assists with the transition from project completion to ongoing production and production support
• Communicates requirements and status with other teams and competencies, as required on an ongoing basis.

Qualifications
• Bachelor’s Degree in a plus
• 2 years technical experience in a data management role utilizing SQL and ETL tools
• Consultative approach to data management and able to make CDI recommendations to the client.
• Knowledge of direct mail and email marketing
• Marketing and business knowledge – not just technical view
• Knowledge of marketing Database structures
• Primary point-of-contact for problem escalation and resolution for data management functions
• Development Tools/Platforms
• Proficiency with Informatica, or similar enterprise ETL tool experience
• Strong SQL, PL/SQL skills
• Knowledge of UNIX/LINUX experience
• Shell scripting experience (KSH, Bash, Perl, Python, etc.) is a plus
• Exposure to enterprise databases required

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