About the role

Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit
Perform other miscellaneous duties as required by management
Driving CI culture, implementing CI projects and innovation for within the team
Driving Data analysis for testing key business hypotheses and asks, developing complex visualizations, self-service tools and cockpits for answering recurring business asks and measurements
Experience in handling quick turnaround business requests, leading partner communication and solving business asks holistically going beyond the basic partner asks
Ability to select the right tools and techniques for solving the problem in hand
Ensuring analysis, tools/ dashboards are developed with the right technical rigor meeting Tesco technical standards
Applied experience in handling large data-systems and datasets
Extensive experience in handling high volume, time pressured business asks and ad-hocs requests
Ability to develop production ready visualization solutions and automated reports
Contribute to development of knowledge assets and reusable modules on GitHub/Wiki
Understands business needs and in depth understanding of Tesco processes
Help mentor team members and guide daily work and projects to meet encouraged performance metrics
Come up with new insights and analysis to support business priorities and solve business problems
Draw Entity Relationship diagrams by exploring mining data required for Solution building analysis
Assist in Designing the Data modelling, Data engineering work flow automations
Continuously analyse the data from different sources and use analytics to detect leakages flaws in the Engines, Investigate tables, data and processes for inaccuracies and missing data to ensure accuracy and Perform accurate promotion funding calculations and analysis

You will be responsible for

4-7 years of experience in relevant field preferred,
Proven track record of handling ad-hoc analysis, developing dashboards and visualizations based business asks
Strong usage of business understanding for analysis asks
Exposure to analysis work within Retail domain; Space, Range, Merchandising, Store Ops, Forecasting, Customer Insights, Digital, Marketing will be preferred

You will need

Strong understanding of Business Decisions, Expert Skills to analyze large datasets using Adv Excel, Adv SQL, Hive, Phython, Expert Skills to develop visualizations, self-service dashboards and reports using Tableau Statistical Concepts (Correlation Analysis and Hyp

Testing), Strong DW concepts (Hadoop, Teradata), Strong Automation skills in using alteryx/python

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Lead- Data Analysis

Job Description

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