
Operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries.
SENIOR, DATA ANALYST
Position Summary...
The Transaction Analytics team within e Commerce Decision Science is seeking a highly strategic and technically strong Senior Data Analyst to support our Transactions Experience space. This role will serve as a thought partner to senior leadership, driving data-informed decisions that inform the product and strategy roadmap.
You’ll leverage data to drive the work of teams who develop experiences that have changed the industry including the cart, checkout, payment, and other purchase-oriented digital experiences. This role requires deep technical expertise, executive storytelling, and the ability to influence cross-functional stakeholders.
What you'll do...
About Team :
The Transaction Analytics team within e Commerce Decision Science is seeking a highly strategic and technically strong Senior Data Analyst to support our Transactions Experience space. This role will serve as a thought partner to senior leadership, driving data-informed decisions that inform the product and strategy roadmap.
You’ll leverage data to drive the work of teams who develop experiences that have changed the industry including the cart, checkout, payment, and other purchase-oriented digital experiences. This role requires deep technical expertise, executive storytelling, and the ability to influence cross-functional stakeholders.
What You’ll Do
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Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to accurately track and analyze existing and new product initiatives.
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Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-making
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Define and monitor KPIs to measure product performance and monitoring product health.
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Define the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data captured
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Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau, Splunk to monitor product performance
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Leverage extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as Big Query or Hive to identify opportunities.
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Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team
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Design and execute A/B tests to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, App).
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Provide data driven insights and deliver recommendations that address opportunities for product improvements
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Leverage advanced analytics solutions to identify product and business opportunities at scale using regression, clustering, classification, gradient boosting, etc. techniques.
What You’ll bring
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Bachelor's degree in Business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field
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3-5 years experience in analytics
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3+ years experience with SQL
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2+ years experience with a data visualization tool (e.g. Tableau, Looker, PowerBI)
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Strong communications skills
Preferred Qualifications:
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3+ years of experience working in mid-to-large scale analytics teams
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Master’s degree in Business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field
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Related industry experience (for example: retail, merchandising, e Commerce, etc)
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Experience using Python or R for analytics and data management
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Experience creating and automating data pipelines
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...
Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India
전체 조회수
0
전체 지원 클릭
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전체 Mock Apply
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전체 스크랩
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Walmart 소개

Walmart
PublicWalmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries. It is headquartered in Bentonville, Arkansas.
10,001+
직원 수
Bentonville
본사 위치
$611B
기업 가치
리뷰
10개 리뷰
2.7
10개 리뷰
워라밸
3.2
보상
2.1
문화
2.8
커리어
2.0
경영진
2.2
35%
지인 추천률
장점
Friendly and supportive coworkers
Flexible hours and scheduling
Good work-life balance potential
단점
Low pay and compensation
Limited advancement and growth opportunities
Poor and disorganized management
연봉 정보
29,572개 데이터
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P1
0개 리포트
$125,350
총 연봉
기본급
-
주식
-
보너스
-
$106,548
$144,152
면접 후기
후기 2개
난이도
3.0
/ 5
소요 기간
21-35주
합격률
50%
경험
긍정 50%
보통 50%
부정 0%
면접 과정
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Interview
5
Final Interview
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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