Analytics Manager

Job Responsibilities -

• Lead cross-functional projects using advanced data modelling 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 analyse 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 modelling, 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 the company.

Qualifications - 

• 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, analysing data, drawing conclusions, and developing actionable recommendations for business units
• Experience and knowledge of statistical modelling 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
• We’re looking for someone with at least 10 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: SQL, SAS, Python, R 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