Senior Analyst - Data Analysis

Company Description

Tesco Bengaluru
We comprise a multi-disciplinary team creating a sustainable competitive edge for Tesco through process standardization, delivering cost savings, enhancing agility, providing advanced technological solutions, and empowering our colleagues to do increasingly more for our customers. Utilizing consolidated expertise in Global Business Services and Retail Technology & Engineering, a wide network of teams, and strong governance, we decrease complexity producing high-quality services for our customers. Established in 2004, Tesco Bengaluru aims to standardize and build centralized capabilities and competencies, improving the experience for our millions of worldwide customers and simplifying procedures for over 440,000 colleagues.
At Tesco Business Services, our mission is to simplify, scale up, and partner to serve our customers, colleagues, and suppliers through a top-class intelligent Business Services model. We fulfill this mission with a world-class business services framework that centralizes all our functions and markets. Our core objective is to use technology to eliminate regular manual operational tasks, augment key decision-making, and build a Continuous Improvement culture across all functions, thereby optimizing processes. We encourage our colleagues to act as business partners with our group stakeholders, fostering a collaborative relationship that drives continuous improvement across markets and functions to lead to the best customer experience.
Tesco is an inclusive workplace where all are welcome, treated equally, and with respect. By cherishing individuality and uniqueness, we foster a sense of belonging among our colleagues.
Diversity and inclusion are central to Tesco's ethos and reflect in our actions: we interact with others as they wish to be treated. We encourage our colleagues to be themselves and support them in giving their best.
We are nurturing an inclusive culture across the Tesco group, where we cherish the diverse traits, personalities, and preferences of our colleagues as they contribute to our success while reflecting the diversity of the communities we cater to.

Job Description

- Understand the needs of the business and have a comprehensive understanding of Tesco processes
- Build on Tesco processes and knowledge using Continuous Improvement tools and techniques.
- Ensure completion of tasks and transactions as per established KPIs
- Solve problems by considering various solution alternatives
- Interact with market leaders to understand problems; interpret business issues into analytical ones; maintain ownership over specific analyses and translate the outcomes to decision-makers
- Manipulate, analyze, and integrate large complex data sets from different sources, ensuring data quality and integrity
- Think proactively and develop analytical reports that contribute beyond basic requirements
- Be accountable for the timely delivery of high-quality work and respond to business requests
- Write detailed, structured, and efficient codes
- Increase value delivery by automating recurring tasks, generating reports, or refreshing dashboards
- Collaborate with colleagues to create, implement, and gauge the consumption of analyses, reports, and dashboards
- Contribute to the development of knowledge assets and reusable modules on GitHub/Wiki
- Understand business needs and the intricacies of Tesco processes
- Ensure the completion of tasks and transactions within agreed metrics
- Experience handling high volume, time-sensitive business and ad-hoc requests

Qualifications

Strong understanding of Business Decisions and skills for creating visualizations, self-service dashboards, and reports using Tableau & Basic Statistical Concepts (Correlation Analysis and Hypothesis Testing). Proficiency in data analysis using Advanced Excel, Advanced SQL, Hive, Python, and data warehousing concepts (Hadoop, Teradata), and automation via Alteryx, Python.
2-4 years of experience in analysis-oriented roles in domains such as Retail and Finance. Proficient in data analysis with Advanced Excel, Advanced SQL, and familiar with data warehousing concepts. Knowledge of automation with Alteryx, Python, and Tableau.

Additional Information

Application Deadline- 26th October 2023