Data Analyst II

Recruiter
Neiman Marcus
Location
Irving, Texas, United States
Posted
15 Apr 2022
Closes
09 Sep 2022
Ref
20949
Function
Technology
Level
Manager
This is an exciting opportunity to be part of the Information Technology Organization at Neiman Marcus. Neiman Marcus is going through a digital transformation and i nsights from our data are driving the transformation of Neiman Marcus Group into a Luxury Customer Platform and providing the best customer experience across all our brands.

We are looking for a Data Analyst who will work with the Manager and the peers of the Analytics Enablement team to research and identify appropriate methods to acquire, explore, cleanse, and fuse data from different sources across the organization to support the Analytics organization. This position requires a combination of business acumen and good communication skills to collaborate with key stakeholders, understand the problem along with the technical skills deliver data to support their needs. You will be in a 100% hands-on role and responsible for data wrangling using our cloud-based data platform.

What You'll Be Doing (Responsibilities):
  • Support our analyst & data science community by researching, identifying, curating & joining data sets, flattening hierarchies, and general data wrangling to assist in delivering analytic use cases.
  • Provide data analytics services to help clients solve business problems, drive value, and gain strategy and insight from information
  • Focus on complex client business problems involving the acquisition, validation, and analysis of data
  • Provide review and analysis of new data sources, including identifying data structure and quality issues
  • Create views, tables, and queries in the production sandbox environment in support of the analytic use cases
  • Provide research and analysis on data sources in support of business requirements - and help both technical and non-technical team members understand what a dataset can (and cannot) support
  • Create documentation to support the transition to production engineering delivery once the use cases are proven.


The Skills You Bring (Qualifications):
  • BS or MS in Computer Science or related field.
  • 1.5+ years of experience in the data and analytics space.
  • 1.5+ years of RDBMS concepts with strong data analysis and SQL experience.
  • Must have strong SQL - specifically advanced SQL and optimization of complex queries.
  • Ability to wrangle data across RDBMS without losing data integrity in many-to-many joins across numerous tables.
  • Great communication skills and business acumen (Understanding of retail data is preferred).
  • Ability to collaborate with business stakeholders and help design data-centric solutions.
  • Ability to work independently to discover data, understand data relationship, and deliver in support of the analytics business team.
  • Team player who is willing to collaborate with team mates as needed to meet the deliverable due dates & work with offshore resources (as needed).
  • Basic Python Skills


Preferred Skills:
  • 1+ years of Linux OS command line tools and bash scripting familiarity.
  • Working knowledge using Python, Spark, Airflow, Hive, Snowflake and AWS services.
  • Knowledge of data engineering aspects within machine learning pipelines (e.g., train/test splitting, scoring process, etc.).
  • GitHub or code versioning experience.

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