Position Summary:

The Database Developer/DBA will be responsible for database design, implementation, development and maintenance of relational databases that consumes structured and unstructured data. The Developer/DBA will split duties between doing development in SQL (approximately 60%) and doing core DBA functions (approximately 40%). He/she will also need familiarity in reading Java and/or scripting languages that collects data from social media sources such as Facebook, forums, and blogs.

The Database Developer/DBA will support reporting needs of client services, data needs of modelers, and support data requirements from engineering.

In addition the Database Developer/DBA is responsible for all administrative tasks of the relational database that a DBA would perform.

This position provides a great opportunity for professional growth as it allows for developing databases and related ecosystems from the ground up.

Required Knowledge and Skills

• Significant background in creating complex functions/stored procedures/triggers in SQL
• Experience in database modeling tools
• Database optimization, backup and recovery, performance monitoring, security
• Database normalization concepts
• Strong analytical skills
• Good written and verbal communication skills
• Ability to set goals, and achieve scheduled deadlines
• Ability to work independently with minimal supervision as well as work in an agile team environment

Experience: Required
• 6-9 years of experience in database development with PostgreSQL or other RDBMS like MySQL, Oracle, etc.
• Experience in logical and physical database design and implementation
• Experience writing complex stored procedures
• Experience in ETL operations
• Experience with database system scaling
• Experience with database performance tuning
• Some experience with core DBA functions like backups, disaster recovery, security
• Familiarity with Java and/or scripting languages such as Python, Perl, etc.
• Minimum of a Bachelor’s degree in related field

Desired (not required):

• Experience in data warehousing and business intelligence tools such as WebFocus, Cognos, Business Objects
• Experience with NoSQL databases like Hadoop
• Experience working with marketing data

Challenge: A major brewer rolled out its summer campaign and asked Networked Insights to evaluate the substance and evolution of the social conversation surrounding it.

Solution: Networked Insights analyzed social media conversations to uniquely capture the brand’s consumer experience across all channels—live events, location-based interactions and social engagement—throughout the campaign.

Bottom Line: Networked Insights’s analysis highlighted content the brand could use to sustain consumer engagement. It also helped create a social index that the company could use to compare itself to other brands and optimize future campaigns and alerted the company to consumer feedback surrounding the campaign website.

Challenge: A food products company faced consumer criticism about the nutritional value of its kids’ lunch product.

Solution: We analyzed social media to discern health and nutrition priorities among moms relating to kids’ lunches and determine how to promote specific nutritional claims on product packaging.

Bottom Line: Our analysis identified better ways to emphasize nutritional attributes on packaging and in advertising to mitigate negative perceptions. We suggested pairing the company’s product with other lunch foods to improve the perception of healthiness. And we discovered unrecognized indirect competitors that the company should focus on.

Solution: We analyzed social media to gauge what consumers were saying about the product and its competitors, identify where the conversations were taking place, and determine the impact of the campaign.

Bottom Line: We found the ad campaign to be successful, but discovered three hidden opportunities.

• A stronger focus on Twitter engagement could add considerable social lift.
• Refocusing resources toward an indirect competitor, instead of direct competitors, could generate better results at lower cost.
• Sales could be boosted through cross-selling opportunities with compatible products rather than relying so heavily on couponing.

Dan Neely Interview at Digiday Agency

Listen to CEO Dan Neely’s 2012 predictions for brands & agencies in his talk with Brian Morrisey of Digiday.

Damon Burrell interview at Pivotcon

Dan Neely, CEO of Networked Insights interviews Damon Burrell, VP of Consumer Marketing for MTV during Pivotcon 2011. In this video, Damon discusses his use of real-time social data and how it was used to make MTV’s new scripted series, Teen Wolf, a raging success.

]]> http://www.networkedinsights.com/resources/video/feed/ 0 http://www.networkedinsights.com/clients/case-studies/networks-maintaining-and-measuring-audience-engagement/?utm_source=rss&utm_medium=rss&utm_campaign=networks-maintaining-and-measuring-audience-engagement http://www.networkedinsights.com/clients/case-studies/networks-maintaining-and-measuring-audience-engagement/#comments Tue, 22 Nov 2011 05:40:09 +0000 admin http://www.networkedinsights.com/?p=2451
Continue reading →]]> Problem: A major cable network wanted to maximize the reach and impact leading up to and immediately following the premiere of a new scripted series it was launching.

Solution: Our weekly recommendations helped refine distribution of digital content, airing of on-networks promos, and use of post-production techniques, such as shifting from green-screen technologies to more authentic makeup-styled effects.

Bottom Line: The network recorded strong ratings throughout its inaugural season, attracting an average of 1.7 million viewers a week, and has been renewed for a second season!

Solution: We provided weekly reports analyzing the online conversations, overlaid this data with keyword and page view data to get a true picture of the audience. Our analysis of audience data revealed that love triangles and on-screen and off-screen chemistry between co-stars drive the highest audience engagement.

Bottom Line: As a result the network experienced extremely favorable reactions, and significant social lift, across all social channels.

Solution: We analyzed target-viewer preferences through our proprietary audience acquisition platform which captured online discussions under way about already popular shows. We also monitored and benchmarked the level of social media engagement around the show vs. its competitors, both leading up to and during the program’s premiere and initial episodes.

Bottom Line: This enabled the network to make real-time adjustments to the show’s social media strategy, shift the focus of on-network series promotions, and refine postproduction techniques.

Solution: Our analysis indicated that the previously unidentified audience not only is a large group with major spending power and influence, but they were not targeted as a primary audience by our client’s competitors.

Bottom Line: Results of discovering this new target through social media analytics saved our client several months time and millions of dollars in traditional market research.