Implementation analyst Jobs in Plano, TX

Job Title: Data Analyst
Duration (Contract): 12 Months
Client Location: Plano, TX 75023

Location Preference: Onsite

Job Description:

As a Data Analyst, you will drive analytics and measurement for digital marketing and personalization efforts. This role will collaborate with several teams including Marketing, Demand Generation, Client.com, Platform, Data Science, Engineering and Project Management to develop insights and data solutions that will help inform the effectiveness of our marketing and personalization efforts across various channels and how best can we optimize these efforts to grow our business. This position will report to the Director of Digital Analytics.

Job Responsibilities:

• Strategic analysis and reporting: Drive strategic analysis and deep dives to be shared with senior leadership. Build and maintain reporting dashboards that track the performance of our marketing and personalization efforts. Continually evolve analytics processes and tools; incorporate new sources of data to improve understanding of the Client business and customers.
• Collaborate with BI team to build reporting solutions using Tableau, SQL and other data-warehousing and BI technologies
• -Collaborate with stakeholders to understand business problems, provide data insights to help make business decisions
• Marketing optimization: Drive customer insights to help marketing reach out to a customer with the right product, at the right time and with the right message.
• Test planning and measurement: Build relevant KPIs to monitor the effectiveness of SEA marketing campaigns and personalization efforts. Own A/B testing framework to understand optimal option for the customer. Compare programs and highlight what is working vs. what is not working. Analyze and develop data to help business pivot and create new offerings/ campaigns.
• High Value actions (HVAs): Identify and quantify customer actions that drive increased customer engagement and spend downstream, unlocking business value. Drive alignment with Marketing, Demand Generation and Product teams on importance of these customer actions in order to help prioritize a) campaigns/experiences focused on driving the right HVA while offering b) the right incentive, in order to unlock maximum value for Client.

Required Skills, Experiences, Education and Competencies:

• Bachelors' Degree in a quantitative field (Mathematics, Engineering, Operations Research, Statistics etc.).
• 5+ years of hands-on experience in Data Analytics or related roles such as Quantitative Marketing or Operations Research.
• 3+ years of experience in data manipulation using SQL.
• 2+ experience with design, execution, and measurement of A/B tests.
• 3+ years of experience building data visualizations using tools like Tableau.
• 2+ years of experience with statistical analysis and predictive modeling using tools such as R, STATA, SAS, Python, etc.
• Experience in an eCommerce and/or Digital Marketing environment.
• Succinct, proactive communication; translate data analytics into business solutions.
• Proven experience in managing multiple tasks simultaneously with a rigid determination to meet deadlines.
• Comfortable to work with people from a broad range of backgrounds from highly technical to marketing to sales/business.
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Demonstrated knowledge of one or more key information service standards such as SDLC, ITIL, QA/testing, Project Management, Six Sigma, etc.
• Strong PC skills including knowledge of Microsoft SharePoint.
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• 5-7 years of experience required.
• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.

The hourly range for roles of this nature are $40.00 to $60.00/hr. Rates are heavily dependent on skills, experience, location, and industry.

cyberThink is an Equal Opportunity Employer.