Director, Data Analytics – Hybrid at Smith Arnold Partners
Norwalk, CT 06850
About the Job
A leading technology service provider is searching for a Director of Data Analytics
The company provides technology enabled security program management supported by a service first culture and an ongoing commitment to innovation
Our client’s mission is to provide differentiated, best total-value security solutions that deliver world-class services
This is a great time to join and be a part of M&A
Reviews:
“Great team + environment”
“Great place to work”
“Generous benefit packages”You will report to the SVP of National Operations overseeing the data department
You will manage the processes and people for accurate data collection, processing, modeling, and analysis
Must have experience for developing solutions in various data sets and the business mindset to convert insights into strategic business models
You will use advanced data modeling to solve real world problems and find opportunities for improvement across a variety of business units
Title: Director, Data Analytics
Compensation: $160,000 – $200,000 (DOE)
Location: Norwalk, CT (Hybrid, 1 day on-site)Responsibilities:
• 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, operations 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.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, 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.
• We’re looking for someone with at least 5 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
The company provides technology enabled security program management supported by a service first culture and an ongoing commitment to innovation
Our client’s mission is to provide differentiated, best total-value security solutions that deliver world-class services
This is a great time to join and be a part of M&A
Reviews:
“Great team + environment”
“Great place to work”
“Generous benefit packages”You will report to the SVP of National Operations overseeing the data department
You will manage the processes and people for accurate data collection, processing, modeling, and analysis
Must have experience for developing solutions in various data sets and the business mindset to convert insights into strategic business models
You will use advanced data modeling to solve real world problems and find opportunities for improvement across a variety of business units
Title: Director, Data Analytics
Compensation: $160,000 – $200,000 (DOE)
Location: Norwalk, CT (Hybrid, 1 day on-site)Responsibilities:
• 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, operations 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.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, 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.
• We’re looking for someone with at least 5 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
