Lead/Head Analytics - Vadodara
Location
Vadodara | India
Job description
- Work on 'breakthrough' digital-and-analytics projects
- Work with C level executives
Job Description
The Head Analytics will work closely with leaders across Product (Engineering, Manufacturing/Integrated Supply Chain), Finance, Sales, and Marketing to support and implement high-quality, data-driven decisions. Will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use 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. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams, business units and external partners/vendors.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.
The Successful Applicant
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 Head Analytics role (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, Spark etc.
- Experience with data visualization tools: Tableau, Raw, chart.js, etc.
- Experience with Adobe Analytics and other analytics tools including.
- Experience with data sets and databases of structured and unstructured characteristics
- Python, C, C++, JAVA, or other programming languages
- Experience with Excel, Word, and PowerPoint, Cloud Analytical platforms - AWS Redshift /Azure Synapse / Azure Stream Analytics
What's on Offer
The Head Analytics will work closely with leaders across Product (Engineering, Manufacturing/Integrated Supply Chain), Finance, Sales, and Marketing to support and implement high-quality, data-driven decisions.
Job tags
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