Target

Sr Data Analyst

Bengaluru, India
SQL Spark Python
Description

About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win

Pyramid overview

A Sr. Data Analyst will turn data into information, information into insight and insight into business decisions. Business decisions could include, but are not limited to, product feature prioritization, data strategy, use case business impact assessment, and/or A/B test rollout decisions.


Team Overview

Sr. Data Analyst responsibilities include conducting full lifecycle analysis to include requirements, profiling and design. Sr. Data Analysts will develop analysis, ad-hoc, and operating reporting and dashboard capabilities using applied statistics. They will also monitor performance and quality control plans to identify improvements to guest data quality. As a steward of guest data, a Sr. Data Analyst is accountable to engage with business owners, product managers, engineering, and architecture to create data definitions, data quality rules, and exception guidelines. Classify data based on Personally Identifiable Information (“PII”) and other parameters that helps manage data as an enterprise asset..

Position Overview

  • Responsibilities:

  • Uses our analytics expertise to test, measure, analyze, understand and answer various business questions

  • Provide reporting to help inform on the current state of the business and help facilitate process at scale

  • Interpret data, analyze data and results of predictive models and provide ongoing insights, analysis, and/or dashboards that measure guest data health and product OKRs using applied statistics

  • Identify, analyze, and interpret trends or patterns in complex data sets to inform GEP roadmap.

  • Work with product management to inform use case prioritization by using data to make decisions on size, scope, and expected business impact of use case implementation.

  • Locate and define new data process improvement opportunities.

  • Responsible for understanding end-to-end guest data flows and identifying data dependencies in support of delivery, release, and change management.

  • Partners with the enterprise data governance team to ensure solutions adhere to the organization’s data principles and guidelines.

  • Responsible for governing data access for all guest data assets within GEP.

  • Job duties may change at any time due to business needs.

About you:

  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics

  • Be a thought leader and contribute in driving data based decisions

  • 6 + years of proven working experience as a data analyst or business data analyst

  • Technical expertise regarding data models, database design development, data mining and data integration techniques

  • Knowledge of applied statistics in the earlier roles in terms of measurement

  • Strong knowledge of and experience with reporting tools, database programming language (e.g. SQL, etc.). Experience with big data programming (e.g. spark, hive, python, etc.) nice to have

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

  • Adept at queries, report writing and presenting findings

  • Perform work with minimal or no guidance

  • Mentors and coaches team members who are juniors to drive performance and deliverables

  • Thinks critically about issues and proactively finds solutions

  • Knowledge of AB testing and measurement is a plus

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion

Target
Target
Communities E-Commerce Retail Shopping

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