Diverse and inclusive workforce will bring us to better products and solutions. Therefore, we actively seek to enable the full contribution of our teammates through greater levels of diversity in our workforce and a spirit of inclusion within our environment

Anat Rokeah Global People Partner Solutions - Israel

See Diversity Initiatives >>

Job Title : Director, Analytics

Location : GAC, Bangalore

Reporting to : Global VP, Analytics

Date :

1. PURPOSE OF ROLE :

- Develop strong analytics, data and technological capabilities for NAZ

- Bring in software engineering best practices in the way we work

- Coach, mentor and develop people

- Build strong stakeholder relationships

2. KEY TASKS AND ACCOUNTABILITIES :

- Develop strong analytics, data and technological capabilities for the program and extend that to full fledged assortment optimization for off-trade/on-trade

- Bring in software engineering best practices e.g. adoption of the agile model of development, managing code repos, working on cloud etc. to solution development

- Create strong technical talent that spans data science, engineering, database modellers, ETL automation within the team

- Coach, mentor and develop people using PDPs, 1-1 skip & also bring in newer senior talent. Create clear career development plans for each team member

- Build strong stakeholder relationships with NAZ Solutions and Business teams.

3. BUSINESS ENVIRONMENT :

- Be a subject matter expert in doing technical review of outputs, ways of working

- Maintain effective relationships with all implementation partners to implement the recommendations.

- Ensuring all the activities have adherence to plan and communicate in advance of any changes

Evaluation Criteria (Targets) :

- All review activities completed in time and without business disruption.

- Reducing time for refresh

- Improve KPIs for the program

Key Dimensions :

- Global Directors

- Key Contacts for Zones:

NAZ : Marko Trininic, Philip Theron

4. QUALIFICATIONS, EXPERIENCE, SKILLS :

Level of educational attainment required :

- Bachelors or Masters

- Computer Science or Engineering

- Previous work experience required

- Experience in working with software development, SaaS products

- Experience in cloud, databases, programming and DevOps

- Experience in machine learning applications esp. deploying in production

- Experience in leading and building high performing product development teams

- Experience in stakeholder management and value creation

Language skills required : English

IT skills required :

- Hadoop ecosystem (viz. HDFS, Spark, NoSQL dbs, Hive, Sqoop, Databricks)

- Agile development tools (viz. Jira, Github, Jenkins)

- Prior strong proficiency in SQL or Python esp. OOP

- Microsoft Office

5. COMPETENCIES :

Behavioural Competencies :

- Builds trust

- Interpersonal skills

- Positive attitude

- Resilient and adaptable

- Taking effective decisions with urgency

- Forward looking in problem solving

Interpersonal Expertise :

- Resolves conflicts constructively

- Supports diversity and understand others- perspectives

- Communicates effectively

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