Data Analyst

Overview

On Site
$35 - $37 hr
Contract - W2
Contract - Independent
Contract - 12+ mo(s)

Skills

Scripting
Business Rules
Inventory
Training
Inventory Management
Pricing
Performance Appraisal
Productivity
Merchandising
Strategy Development
Innovation
Customer Satisfaction
Customer Engagement
Data Management
SQL
Management
Database Administration
MySQL
PostgreSQL
Oracle
Modeling
Statistics
Predictive Modelling
Data Mining
EDA
Programming Languages
Python
R
Advanced Analytics
Hardware Development
Acceptance Testing
Collaboration
Partnership
Business Intelligence
Data Analysis
Retail
Extract
Transform
Load
Alteryx
Tableau
Dashboard
Reporting
Sales
Insurance
Law
Communication
Messaging
Elasticsearch
Sourcing
Artificial Intelligence
Decision-making
Purchasing

Job Details

Payrate: $35.00 - $37.00/hr.

Responsibilities
  • Data Preparation and Integration:
  • Develop and execute data ingestion and integration strategies to combine data from disparate sources.
  • Use SQL, ETL tools and/or scripting languages to join datasets based on defined relationships and business rules.
  • Ensure data accuracy and consistency across integrated datasets.
  • Dashboards & Reporting:
  • Develop and manage dashboards and reports to analyze sales / inventory / visits / training data, identifying trends and patterns that inform inventory management, pricing strategies, and promotional activities for CE products.
  • Process and analyze survey data related to the shopping experience for CE products, focusing on customer satisfaction, preferences, and pain points.
  • Sales Team Performance Evaluation:
  • Assess the performance of sales teams using targets and metrics such as sales lift, conversion rates, and customer engagement to CE products.
  • Identify areas for improvement and recommend strategies to enhance team productivity and effectiveness.
  • Cross-Functional Collaboration:
  • Work closely with field sales, merchandising, and operations teams to ensure data-driven strategies are implemented effectively across the CE retail division.
  • Communicate insights and recommendations clearly to stakeholders to drive informed decision-making.
  • Data-Driven Strategy Development:
  • Leverage data analytics to identify opportunities for growth and innovation within the CE retail segment.
  • Develop and execute strategies that enhance competitiveness and customer satisfaction in the CE market.

Technical Skills:
  • Data Management & Querying
  • Strong knowledge of SQL for querying and managing large datasets.
  • Familiarity with database management systems (e.g., MySQL, PostgreSQL, Oracle).
  • Data Analysis & Modeling
  • Proficiency in statistical analysis and predictive modeling techniques.
  • Experience with data mining and exploration data analysis (EDA).
  • Programming & Tools
  • Familiarity with programming languages like Python or R for advanced analytics.
  • Knowledge and experience in automating data from industry-standard retail systems & platforms
  • Implement & Maintain all New + Existing Software, Hardware Development, + UAT, and deployment in partnership with business owners

Minimum Qualifications:
  • Bachelor s degree with 3 years of prior experience in Business Intelligence, Data Analytics, Retail Insights, or related area of expertise
  • Proficient in designing and implementing data indigestion, data preparation and automating ETL (Extract, Transform, Load) processes using Alteryx
  • Proficient in Tableau for visual dashboard / report creation that communicates data effectively from the field-level sales team to executive-level use

Pay Transparency: The typical base pay for this role across the U.S. is: $35.00 - $37.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

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