AGM - Analytics Delivery

Job Description

Role Summary:

Schneider Digital is seeking an Analytics Delivery Lead, who will be an excellent addition to the Analytics Delivery team. This is a key, strategic hire to support our Analytics team.

This role will lead data professionals and data engineering teams in multiple product areas and domains including: Web, Reporting, Dashboards, Visualizations, Data Engines and Decision Support. Driving operational excellence by using data and analytics to drive visibility, insights and actions to facilitate decision making. Provides strategic leadership for the design, development, testing and delivery of large-scale data structures and pipelines, efficient Extract/Load/Transform (ETL) workflows and reporting / visualizations.

• Works with senior leaders to identify opportunities to implement analytics solutions to business problems

• Collaborates and manages key business relationships with business partners to understand their strategy, problems, goals and provide analytical solutions

• Sets priorities and executes strategy for the Analytics Organization

• Build a team of high-performing analytics experts that are domain and technology agnostic

• Manages data analytics team(s) for multiple product areas/applications: Data Management, Data Modelling, Web, BI, Reporting, Dashboards, Visualization, Data Engine, Data Warehouse, Data Lake, Data Modelling, ETL and Decision Support

• Ability to structure data, drive analysis and actionable insights through analytical solutions and gauge how technology fits into the whole life cycle of the data

• Responsible for analysis, design and project execution

• Collaborates with and leads multiple large cross-functional project teams for requirements delivery

• Provides strategic leadership, development and talent management for direct reports and their organization, which may include forecasting resource needs, recruiting, hiring, performance management, training and budgeting. You will also coordinate subordinate managers and supervisors in selecting staff to align with current and future needs of the organization

• Lead brainstorming sessions, create analytical plans, provide guidance to team members, identify value creation areas, evaluate predictive models algorithms, pressure test approaches outcomes, be responsible for quality control

• Ability to demonstrate value proposition of implementing Analytics either through cost reduction or revenue upside

• Builds a culture of innovation and curiosity by exploring new data sets and data monetization opportunities in partnership with other business technology leaders

• Work in Agile and Scrum teams - Writing user stories with the business, designing developing solutions and lead the delivery of solutions using the Agile mindset methodology

• Establish standard processes and procedures and promote team collaboration self-improvements

• Ability to work nimbly across multiple projects, with fast-paced, iterative product development cycles

• Manage and mentor a team of employees and vendors. Motivate team to achieve objectives and Targets

• Drive overall operations for the Analytics team including managing FTCs Purchase Orders through external vendors, manage delivery KPIs and administrative activities

Qualifications / Requirements:

• Masters degree in Data Analytics field

• 10+ years of experience in the area of Data Management, Business Intelligence, Solution Design and Data Analytics

• 5+ years of People Management experience

• 5+ years of experience working in Agile teams

• Should have experience in Leading Data and Analytics team(s) in a global organisation or start up

• Strong knowledge of advanced Analytics and Visualization tools (OTBI, OBIEE, OAC, ThoughtSpot, Tableau, other BI tools), Data Integration tools such as Informatica ODI, Package/Solution Accelerator OBIA and languages (R, Python, Hadoop, Teradata, Google Analytics, AWS, Azure, etc.); to analyse large data sets from multiple data sources and hands on experience working with database technologies (Oracle, SAP, SQL / NoSQL platforms)

• Strong knowledge and hands on experience with Algorithms, ML/AI and Analytics Descriptive, Diagnostic, Predictive and Prescriptive

• Hands on experience in creating analytics solutions and semantic layers for optimal performance to meet stakeholder specifications and SLAs

• Experience in building IoT products and services with Analytics component will be a plus

• Demonstrates strong ability to communicate technical concepts and implications to business partners

Desired Characteristics:

• Leadership Drive Change, Strategic Thinking, Technology Leadership, Collaborate for results, Engage Develop people, Manage Stake holders

• Passionate about driving change and extend influence across the enterprise

• Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights

• Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business problems across the company

• Ability to acquire any specialized domain knowledge required

Qualifications / Requirements:

• Masters degree in Data Analytics field

• 10+ years of experience in the area of Data Management, Business Intelligence, Solution Design and Data Analytics

• 5+ years of People Management experience

• 5+ years of experience working in Agile teams

• Should have experience in Leading Data and Analytics team(s) in a global organisation or start up

• Strong knowledge of advanced Analytics and Visualization tools (OTBI, OBIEE, OAC, ThoughtSpot, Tableau, other BI tools), Data Integration tools such as Informatica ODI, Package Product/Solution Accelerator OBIA and languages (R, Python, Hadoop, Teradata, Google Analytics, AWS, Azure, etc.); to analyse large data sets from multiple data sources and hands on experience working with database technologies (Oracle, SAP, SQL / NoSQL platforms)

• Strong knowledge and hands on experience with Algorithms, ML/AI and Analytics Descriptive, Diagnostic, Predictive and Prescriptive

• Hands on experience in creating analytics solutions and semantic layers for optimal performance to meet stakeholder specifications and SLAs

• Experience in building IoT products and services with Analytics component will be a plus

• Demonstrates strong ability to communicate technical concepts and implications to business partners

,

Keyskills :
source system analysislife cycleuser storiesdrive changedata modelingproject teamsdata analyticscost reductionvalue creationquality controldata managementdata structuressolution designpurchase ordersgoogle analyticsdata integrationdecision