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Tom Hanley and Brant Smith, two graduates of Rensselaer Polytechnic Institute, founded Smith Hanley in 1980 and grew it to a professional staffing business with offices in five U.S. metropolitan areas, including New York, Southport, Chicago, Houston, and Orlando.
In 2004, Smith Hanley was acquired by inVentiv Health (NASDAQ: VTIV), the leading provider of commercialization and complementary services to the global pharmaceutical, life sciences, biotechnology, and other industries. inVentiv delivers its customized clinical, sales, marketing, and communications solutions through its three core business segments: inVentiv Clinical, inVentiv Communications, and inVentiv Commercial.
Smith Hanley Consulting Group remains committed to the one-on-one relationships that began with our establishment nearly 30 years ago, and we now have the security and credibility that represent being a part of a large, publicly-traded corporation.
Learn More about Smith Hanley Consulting Houston
Company Website
Database Marketing Analyst
We are currently looking for a Database Marketing Analyst to collaborate with marketing stakeholders to define their specific requirements, ensure that good data hygiene is implemented with regard to name and address cleansing, and ensure that databases are compliant with all opt in and opt out requirements.
Benefits available:
- Competitive salaries
- Multiple medical / dental plans
- Long term disability
- 401k savings plan
- Company Paid Life Insurance
- Long term Disability
Database Marketing Analyst
Job Responsibilities:
- Manage the operation of data feeds to and from the Databases through Database Interface Agreements with suppliers and requestors of marketing data.
- Liaise with internal IT organization to implement new data mart to facilitate the extraction of marketing campaign lists.
- Working knowledge of SQL or other data extraction tools to produce marketing campaign lists.
- Implement quality checks in all data processes.
- Implement procedures to ensure that data feeds quality is at 100%.
- Implement target and response targeting and reporting.
- Ability to develop insights and identify data quality issues.
- Produce ongoing data quality KPI reports.
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