BI/DA Associate Director

Qualifications and Experience

●       Graduate in engineering or computer science

●       Strong numerical and analytical skills

●       15+ years of overall experience, 10+ years of relevant analytics experience to handle big data and preferably few years of working in Alphabet programs

●       Knowledge in

○        Database : SQL & BigQuery (Mandatory)

○        Google tools and ecosystem (Mandatory)

○        Cloud platforms : GCP & Firebase (Not mandatory but an added advantage)

○        Languages : Python & Javascript (Not mandatory but an added advantage)

●       Experience in Intermediate to Advanced statistics and data modelling

●       Experience in reporting tools & technologies like Tableau, Bigtable, Datastudio & Analytics dashboards

●       Specific knowledge in Google tools like Cider and Critique preferrable

●       Experience in collaborating with teams across geographies and functions

Responsibilities (not limited to)

●    Act as the primary POC for client, development, testing and delivery teams

●       Understand client product, internal tools, processes and increase work efficiency through automation

●       Should have the ability to develop dashboards as well as coach a set of 50+ analysts on building dashboards and grow them internally to Sr. Data analysts and Business Intel experts

●       Help the team monitor data flow pipelines, identify bugs and bug fixing

●       Help the team Debug code from code repository and submission of change log for approval

●       Assist BA in Collation of dashboards feature requests and define timelines for requirements closure

●       Expected to perform data analysis (if required) as and when needed

●       Help teams gather Business Requirements on automations & assist on BRDs

●       Good statistical knowledge to perform regression models and other stat analysis

●       Under business requirement clearly, help team to translate the same into the dashboard & provide relevant analytics back to business with clear data interpretations

Other Skills:

Knowledge:

●       Need a solid background in statistics methodology and experience with SQL, Python,. And familiarity in data visualization tools, e.g. PowerB & Data Studio

Critical thinking and analytic orientation:

Strong business judgment:

Quantitative skills:

Problem solving skills:

Teamwork abilities:

Communication skills:

Self- starter:

Project Management skills:

●       Good time management and organizational skills

●       Flexible to adapt to any changes in the organization / process

●       Self-starter, Ambitious, go-getter and deadline driven

●       Keen to learn and implement learning

●       Maintain Organizational and Client confidentiality

●       Good people management and coaching skills