Lead Data Analyst

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  Learn more about Target here. 

The People Analytics team's mission is to empower a data driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy.

The People Analytics team

• Integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs.
• 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
• Connects our understanding across business and HR to deliver data driven products and solutions
• Provide meaningful insights and recommendations

About the role:

Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights.  Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight.  Analysts will work within an agile environment, which requires active participation in ceremonies to accomplish the team’s goals.  They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting their data lineage.

• Actively exploring data for specific use cases
• Expertise in business domain and processes
• Creating measurable insights from the data to be shared
• Developing metrics, measurement strategy, reports, and statistics
• Documenting calculations, code, and adhering to data management principles
• Validating and testing data assets of others in the form of peer review
• Exploring statistical analysis that could be applied to the data
• Performing descriptive statistics including mean, variance, median, correlation
• Applies insights and testing in partnership with business users
• Active participant in team meetings
• Lead agile ceremonies
• Ability to work independently to turn business problems into data solutions
• Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance

About You:

• BA/BS or equivalent experience
• 7+ years' work experience in data analysis or masters level education in business analytics, data science, etc.
• Demonstrated leader in knowledge and application of data, reporting, and analytics
• Proficient with various programming languages- SQL, R, Python
• Proficient with relational and non-relational databases
• Stays current with new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance
• Strong domain specific knowledge in Human Resources data and processes
• Prior experience in human resources or talent/people analytics industry
• Math and/or Statistics:
  • Mathematical logic (AND, OR NOT)
  • Descriptive and Inferential Statistics
  • Calculus (weighted averages, rates of change, single variable)
• Testing and Research Design:
  • Apply the scientific method and experimental design
  • Generate insight from observational data

• Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations
• Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results
• Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them
• Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis
• Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies