Sr Data Specialist

Job Id: R0000392609

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. 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 different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview about Target in India
At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different 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.

About the Role

As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc

Key Responsibilities:

Data Pipeline and Maintenance: Monitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and Resolution: Drive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process Improvement: Identify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and Communication: Work closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and Governance: Implement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and Reporting: Create and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics.

Core responsibilities are described within this job description. Job duties may change at any time due to business needs.

About You:

• B.Tech / B.E. or equivalent (completed) degree
• 5+ years of relevant work experience :
• Experience in Marketing/Customer/Loyalty/Retail analytics is preferable
• Exposure to A/B testing
• Familiarity with big data technologies, data languages and visualization tools
• Exposure to languages such as Python and R for data analysis and modelling
• Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery
• Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques.
• Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences.
• Ability to identify process and tool improvements and implement change
• Excellent written and verbal English communication skills for Global working
• Motivation to initiate, build and maintain global partnerships
• Ability to function in group and/or individual settings.
• Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives