Manager Data Analytics at T2 (Formerly 9Mobile)

Job Summary        

1. Lead the use of advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes 
2. Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics.

Principal Functions        

1. Lead cross-functional projects usingadvanced data modeling and analysis techniques to discover insights that willguide strategic decisions and uncover optimization opportunities. 
2. Build, develop and maintain datamodels, reporting systems, data automation systems, dashboards and performancemetrics support that support key business decisions. 
3. Design and build technical processes toaddress business issues. 
4. Oversee the design and delivery ofreports and insights that analyze business functions and key operations andperformance metrics. 
5. Recruit, train, develop and superviseanalyst-level employees. 
6. Ensure accuracy of data anddeliverables of reporting employees with comprehensive policies and processes. 
7. Manage and optimize processes for dataintake, validation, mining and engineering as well as modeling, visualizationand communication deliverables. 
8. Examine, interpret and report resultsof analytical initiatives to stakeholders in leadership, technology, sales,marketing and product teams. 
9. Oversee the data/report requestsprocess: tracking requests submitted, prioritization, approval, etc. 
10. Develop and implement quality controlsand departmental standards to ensure quality standards, organizationalexpectations, and regulatory requirements. 
11. Anticipate future demands ofinitiatives related to people, technology, budget and business within yourdepartment and design/implement solutions to meet these needs. 
12. Organize and drive successfulcompletion of data insight initiatives through effective management of analystand data employees and effective collaboration with stakeholders. 
13. Communicate results and businessimpacts of insight initiatives to stakeholders within and outside of thecompany. 
14. Carryout other duties as instructed byHead of IT Architecture & Planning

Educational Requirements        

1. Degree level education with a solid all-round knowledge of IT and its use within a business environment with minimum of 5+ of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs: 
2. Strong programming skills with querying languages: SLQ, SAS, etc. 
3. Experience with big data tools: Teradata, Aster, Hadoop, etc. 
4. Experience with testing tools such as Adobe Test &Target 
5. Experience with data visualization tools: Tableau, Raw, chart.js, etc. 
6. Experience with Adobe Analytics and other analytics tools 
7. C, C++, JAVA, or other programming languages

Experience,Skills & Competencies        

1. Experience with Excel, Word, andPowerPoint. 
2. Working knowledge of data miningprinciples: predictive analytics, mapping, collecting data from multiple datasystems on premises and cloud-based data sources. 
3. Strong SQL skills, ability to performeffective querying involving multiple tables and subqueries. 
4. Understanding of and experience usinganalytical concepts and statistical techniques: hypothesis development,designing tests/experiments, analyzing data, drawing conclusions, anddeveloping actionable recommendations for business units. 
5. Experience and knowledge of statisticalmodeling techniques: GLM multiple regression, logistic regression, log-linearregression, variable selection, etc. 
6. Experience writing advanced SAS codestatements, models, and macros. 
7. Experience working with and creatingdatabases and dashboards using all relevant data to inform decisions. 
8. Experience using analytics techniquesto contribute to company growth efforts, increasing revenue and other keybusiness outcomes. 
9. Strong problem solving, quantitativeand analytical abilities. 
10. Strong ability to plan and managenumerous processes, people and projects simultaneously. 
11. Excellent communication, collaborationand delegation skills