Job Location: Bengaluru
Job Description
The primary purpose of this role is to translate business problems into analytic designs and perform the quantitative analysis or model building needed to help guide key business decisions. This includes applying knowledge of Lowe’s data concepts to the creation of relevant analytic designs and making sound, data-driven business recommendations. This role must follow analytical best practices, analyze and report accurate results, and identify meaningful insights that directly support decision making.
This role leverages multiple resources, advanced analytic methodologies and data streams to support recommendations for executive level business decisions and their teams. At any given time, this role owns multiple collaborative projects across Business and Technology teams while working with Directors and Senior Leadership.
With a focus specifically on Digital Analytics Implementation, this role provides advanced data capture capabilities to support complex digital analytics initiatives across multiple Lowe’s or Lowe’s Digital properties. This role translates complex business needs to effective digital analytics tagging specifications that provide metrics for analytic solutions across various digital channels. These tagging specifications ensure that data can be translated to tangible results for Lowe’s and Lowe’s Digital.
To be successful, the individual in this role must have a deep understanding of analytical techniques and disparate data sources – both internal and external, and strong domain expertise.
Although this role does not manage people directly, the individual in this role spends time developing, training, and reviewing the work of others on the team.
Qualifications
Minimum Qualifications
- Bachelor’s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field) AND 6 years of related experience
OR
- Master’s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 4 years of related experience
ALSO
- 6 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)
- 3 years of experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Azure, Oracle, DB2)
- 4 years of experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau)
- 3 years of Functional experience performing predictive analytics at a large scale enterprise
- 6 years of experience performing advanced data modeling, data mining and exploratory data analysis (e.g., linear/logistic regression, ARIMA, Cluster Analysis)
- 6 years of experience translating business requirements in analytics models
- Experience working cross-functionally
- 5 years presenting/communicating analytics results to business partners
Preferred Qualifications
- Master’s Degree in Business, Engineering, Statistics, Economics or related area
- Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2)
- Experience working with big, unstructured data in a retail environment
- Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc.
- Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny
- Programming experience using tools such as R, Python
- Data Science experience using tools such as ML, Text mining
- Advanced knowledge of SQL
- Project management experience
- Experience in home improvement retail
Digital Analytics Implementation
- 3 years of experience of digital analytics (or general analytics) using tools such as Adobe Analytics (SiteCatalyst, Ad-hoc, and Report Builder), Google Analytics, etc. (specific to the Digital Analytics Implementation role)
- 3 years of experience in digital analytics implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role)
- 3 years of data validation experience using tools such as Charles, Fiddler, etc. (specific to the Digital Analytics Implementation role)
- Digital analytics implementation certification (for example, Adobe certified implementation expert, Adobe processing rules authorization, etc.) (specific to the Digital Analytics Implementation role)
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