Lead cross-functional projects using advanced data modeling and
analysis techniques to discover insights that will guide strategic
decisions and uncover optimization opportunities.
Build, develop and maintain data models, reporting systems, data
automation systems, dashboards and performance metrics support that
support key business decisions.
Design and build technical processes to address business issues.
Oversee the design and delivery of reports and insights that
analyze business functions and key operations and performance metrics.
Recruit, train, develop and supervise analyst-level employees.
Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
Manage and optimize processes for data intake, validation, mining
and engineering as well as modeling, visualization and communication
deliverables.
Examine, interpret and report results of analytical initiatives to
stakeholders in leadership, technology, sales, marketing and product
teams.
Oversee the data / report requests process: tracking requests submitted, prioritization, approval, etc.
Develop and implement quality controls and departmental standards
to ensure quality standards, organizational expectations, and regulatory
requirements.
Anticipate future demands of initiatives related to people,
technology, budget and business within your department and design /
implement solutions to meet these needs.
Organize and drive successful completion of data insight
initiatives through effective management of analyst and data employees
and effective collaboration with stakeholders.
Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
Carry out other duties as instructed by Head of IT Architecture & Planning
Degree level education with a solid all-round knowledge of IT and
its use within a business environment with minimum of 6 years 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:
Strong programming skills with querying languages: SLQ, SAS, etc.
Experience with big data tools: Teradata, Aster, Hadoop, etc.
Experience with testing tools such as Adobe Test & Target
Experience with data visualization tools: Tableau, Raw, chart.js, etc.
Experience with Adobe Analytics and other analytics tools
C, C++, JAVA, or other programming languages
Experience with Excel, Word, and PowerPoint.
Working knowledge of data mining principles: predictive analytics,
mapping, collecting data from multiple data systems on premises and
cloud-based data sources.
Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
Understanding of and experience using analytical concepts and
statistical techniques: hypothesis development, designing
tests/experiments, analyzing data, drawing conclusions, and developing
actionable recommendations for business units.
Experience and knowledge of statistical modeling techniques: GLM
multiple regression, logistic regression, log-linear regression,
variable selection, etc.
Experience writing advanced SAS code statements, models, and macros.
Experience working with and creating databases and dashboards using all relevant data to inform decisions.
Experience using analytics techniques to contribute to company
growth efforts, increasing revenue and other key business outcomes.
Strong problem solving, quantitative and analytical abilities.
Strong ability to plan and manage numerous processes, people and projects simultaneously.
Excellent communication, collaboration and delegation skills