drjobs Senior Data Analyst- Luxury and Retail

Senior Data Analyst- Luxury and Retail

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1 Vacancy
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Job Location drjobs

New York City, NY - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are looking to meet talented candidates with at least two years of clientfacing consulting experience in information management and business analytics using data to provide meaningful actionable insights. These insights can help inform the most impactful customer product offers marketing campaign strategies servicing optimization and/or manufacturing and production improvements. 
 
We are especially interested in meeting consultants with a background in Luxury and Retail. 

Key Responsibilities: 

  • Data Extraction and Transformation: 
    • Extract data from various sources including internal databases data warehouses ETL Tools and thirdparty platforms  
    • Clean transform and prepare data for analysis ensuring data quality and consistency. This includes handling missing values outliers and inconsistencies. 
    • Develop and maintain ETL (Extract Transform Load) processes to automate data workflows. 
    • Develop and maintain postETL validation tests 
  • Data Analysis and Modeling: 
    • Perform exploratory data analysis (EDA) to identify trends patterns and anomalies. 
    • Develop and apply statistical methods to analyze data and draw meaningful conclusions regression analysis hypothesis testing etc.  
    • Build and maintain dashboards and reports to track key performance indicators (KPIs) and business metrics. 
    • Use data visualization techniques to effectively communicate insights. 
    • Develop predictive models or forecasting models as needed. 
    • Experience with tools like Tableau or Power BI 
  • Data Governance Security and Best Practices: 
    • Adhere to data governance and security policies and procedures to ensure data security and privacy. 
    • Maintain data documentation and contribute to the development of data dictionaries and metadata repositories. 
    • Stay up to date with industry best practices and emerging trends in data analysis. 
    • Understand and comply with GDPR/CCPA and data privacy retention and confidentiality policies.
  • Communication and Collaboration:  
    • Present findings and recommendations to stakeholders at all levels of the organization including senior management. 
    • Translate complex technical concepts into clear and concise language for nontechnical audiences. 
    • Collaborate effectively with crossfunctional teams product managers engineers marketing managers to understand business needs and provide datadriven solutions. 
    • Mentor and guide more junior analysts providing technical expertise and support.

Qualifications :

  • Education: Bachelors or masters degree in a quantitative field such as Statistics Mathematics Economics Computer Science Data Science or a related area. 
  • Experience: 5 years of experience in a data analysis role with a proven track record of delivering actionable insights and 2 or more years client facing consulting experience. 
  • Technical Skills:  
    • Proficiency in SQL is essential. 
    • Familiarity with current data platforms: 
    • Databases: SQL Server Oracle PostgreSQL DB2 or MySQL 
    • Data warehouses: Snowflake Data Bricks Redshift or BigQuery 
    • APIs and Datasets: MS Dynamics Oracle CRM or Salesforce 
    • ETL Tools: dbt Airflow StreamSets NIFI or Kafka or similar 
    • Cloud Platforms: Azure AWS GCP Oracle or IBM 
    • Source Control: Git or GitHub/Gitlab compatible platforms 
    • Machine Learning Models: Regression Decision Trees Neural Nets or similar 
    • Basic understanding of statistical concepts such as hypothesis testing and probability (Bayesian) preferred 
    • Strong experience with data visualization tools like Tableau Power BI or Looker. 
    • Experience with programming languages such as Python or R for data analysis. Libraries like Pandas NumPy scikitlearn. 
    • Familiarity with statistical software packages like SPSS or SAS is a plus. 
    • Experience with data warehousing concepts and technologies. 
  • Analytical Skills:  
    • Strong analytical and problemsolving skills. 
    • Ability to think critically and draw meaningful conclusions from data. 
    • Solid understanding of statistical concepts and methods. 
  • Communication Skills:  
    • Excellent written and verbal communication skills. 
    • Ability to present complex information clearly and persuasively. 
    • Proven ability to be a great teammate. 
  • Industry sector experiences: 
    • Strong preference for experience in financial services including banking brokerage insurance and capital markets 
  • Alignment with Sias Core Values:  
    • Excellence Entrepreneurship Innovation Teamwork Care & Support Employee WellBeing 


Additional Information :

Why Join Sia 

Excellence Entrepreneurship Innovation Teamwork Care & Support Employee Wellbeing 

These are the six core values that guide all our actions.  

Your experience at Sia will be enriched by a(n): 

Compensation & Benefits 

Diversity Equity Inclusion & Belonging 

At Sia we believe in fostering a diverse equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.  

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

 

Office Workplace Guidelines  

Sia is committed to providing a flexible workplace environment that supports client business and market needs. Consultants located in our primary market office locationsNew York City Charlotte Seattle and San Franciscoare expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets we can offer more flexible inperson requirements in accordance with your location. 

 

Work Authorization & Sponsorship 

At this time Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e. H1B visa F1 visa (OPT) TN visa or any other nonimmigrant status). 

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Department / Functional Area

Data Science

About Company

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