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Target

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4.2

based on 645 Reviews

98 Target Jobs

Sr. Data Analyst

Target Corporation India Pvt Ltd

4.2

based on 645 Reviews

7-12 years

Bangalore / Bengaluru

1 vacancy

Sr. Data Analyst

Target

posted 3hr ago

Job Role Insights

Flexible timing

Key skills for the job

Supply Chain Management SQL Automation Testing Javascript Analytical Chemistry CCTV Monitoring

+ 3 more

Job Description

The Finance Capabilities Data Analytics & Automation (DAA) team manages key data assets that enables exceptional experiences and impactful decisions for the Target finance organization and its large vendor community.
The team leverages key data in Finance (Accounts Payables-AP & Asset lifecycle management-ALM primarily), Supply Chain (Receiving & Transportation) and Merch (Vendors & Purchasing); designs and implements changes to the underlying data assets to generate powerful insights for domestic & import payables, receiving, deductions, freight, fixed assets & properties to support key financial metrics. This capability allows for creative thinking, leadership opportunities and innovation to
propagate data-based decision making.

Position Overview
As a Sr Data Analyst (AP & ALM DAA) your responsibilitieswill be:

Closely collaborate with Finance Operations & Accounting, Assets Life cycle management business teams to identify opportunities of leveraging data, bridge gaps, and advance business capabilities
Partner with multiple finance & upstream product, Data Sciences & Engineering,
Target Tech to determine the best approach to gather, model, manipulate, analyze, and present data
Work with the team to build and maintain large & complex datasets, automated pipelines & visualizations.
Analyze large datasets and apply mix of mathematical & statistical techniques for deriving insights to enable key business strategies, initiatives, and decisions
Produce clean, efficient code backed with solid documentation - based on
specifications & best practices.
Taking complete ownership and accountability of the work assigned and liaison between various stakeholders and team members
Contribute towards data, technical, agile, and business contextual learnings for the team, partners, and broader organization.
Skills & Experiences:
Analytical skills to breakdown complex problems, identify root causes, and develop sustainable solutions
Influencing cross-functional teams and partnering effectively with stakeholders
at various organizational levels
Developing hypotheses and producing actionable insights using advanced
statistical & mathematical techniques and tools.
Proficiency in finding, manipulating, and presenting data in meaningful ways
tailored to varied customer preferences.
Ability to communicate results of complex analytic findings to both technic /non-technical audiences and business leaders.

Proven contribution in architecting large data solutions and Implementations.
Implementing design architectures and building next generation analytics
Strong desire to continuously upskill and stay current with emerging industry
trends & technologies through formal training, peer training groups, and self directed education
Understanding of Target s retail, analytical, and IT architecture and platforms
S elf-driven and results oriented. Willing to stretch to meet tight timelines.

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

Qualifications:

Bachelor s/MS/M.Tech/MCA - Mathematics, Statistics, Computer Science, or
other related fields
Overall 7+ years, with minimum 5 years of data ecosystem experience.
Deep Big data experience in Hadoop ecosystem and its components with advanced proficiency in programming in Hadoop/Hive, Python, SQL, Excel.
Experience in developing robust and scalable data pipelines that integrates various data sources, and other platforms and supports diverse data processing needs.
Proven hands-on experience with Domo, Tableau & other Visualization tools (incl homegrown platforms)
Git source code management
Experience in developing, monitoring, and maintaining Bots (incl homegrown platforms) using technologies such as Python, JavaScript.
Strong problem solving, and ability to navigate through ambiguity
Experience working in an agile environment (stories, backlog refinement, sprints, etc.).
Excellent attention to detail and timelines. Strong sense of ownership
Strong team player with ability to collaborate effectively across geographies/ time zones.
Excellent written and verbal communication skills

Desired:

Strong addon - business contextual experience in retail and finance, including operations, KPIs, metrics and controls.
Conceptual knowledge of mathematical and statistical techniques for use in data analysis and modeling
Familiarity with programmatic use of GenAI/LLMs and related ecosystem .

Employment Type: Full Time, Permanent

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What people at Target are saying

4.4

Rating based on 11 Data Analyst reviews

Anonymous · Data Science & Analytics in Bangalore / Bengaluru

Likes

Work life balance is good , inclusive culture and perks

Job security - Good

+1 more

Dislikes

Your salary will be totally based on your number of years experience not what you bring to the table or how proficient you are in your skills. If a 5 years exp employee lacks skills but you can do that work still he will be paid more than you