Position
Details:
Client: Well Known Largest Customer
Title: Data Analyst / Scientist 4
Location:
Plano, TX 75023 (4
days/week onsite and 1 day remote)
Duration: 12 Months Contract (Possible
extension)
Job
Description:
Notes:
- Team:
Business Planning for e-commerce (forecasting sales, promotional/marketing
strategies).
- Environment:
Business-focused, not IT, with a professional business environment.
Key
Responsibilities:
- Excel-based
Reporting (50-60%): Using Excel and Tableau for data analysis and
reporting.
- Machine
Learning Forecasting (40-50%): Develop machine learning models for
forecasting, promotional analysis, using methods like PyTorch and Python.
Interview
Process:
- 2
rounds: Reporting, coding questions, and knowledge of relevant libraries.
Top Skills
Required:
- Proficiency
in Excel for business-critical thinking and learning application.
- Experience
in Machine Learning (Python, PyTorch).
- Strong
business knowledge (forecasting, promotional analysis).
Ideal
Candidate:
- Total
5-6 years of experience, with 2-4 years in Machine Learning.
- MS
degree in a quantitative field (STEM, Business Analytics) is a plus but
not required.
- Looking
for B2B Business analytics, No domain experience required.
Position
Summary
- The
Client ecommerce team is looking for a Data analyst (contractor) to
provide analytics and reporting along with building forecasting models,
using excel, Tableau and machine learning tools. This candidate will
be responsible to build key reports and build models for sales
forecasting and doing promo analysis with high accuracy using
analytics and build models based on Ecommerce sales drivers,
promotional analysis and using category specific business knowledge.
- The
individual is expected to be hands-on to prepare key reports, build sales
forecasting models, evaluate product mix, risk/opportunity analysis and to
report and impact of promotions on different sales platforms, promotional
analytics (attribution, elasticity and ROI/financial analysis). A
successful candidate is highly analytical with critical thinking skills
and business savvy with hands-on with excel and ability to use Machine
Learning Models.
Essentials/Duties
and Responsibilities
- Build
Key reports and consolidate reports across LOBs (Weekly Demand and Revenue
outlook)
- Hands-on
to build Sales forecasting using several variables (Traffic, Seasonality,
multiple promos etc.) using Machine Learning Models
- Develop
weekly/monthly/quarterly sales forecast for both quantity and revenue
- Use
Machine Learning/AI for Promotional analysis for attribution, elasticity
and ROI/financial analysis
- Build
a play book to use Promotional lift and to recommend promos to achieve
goals
- Develop
monthly/quarterly targets and distribute the targets to various
categories/channels and traffic drivers for Ecommerce
- Improve
long term forecasting w/suitable analytical methodologies
- Use
advanced analytics methodologies such as ML/AI forecasting methodologies
for sales forecasting
- Create
presentations with compelling data driven story to share with leadership,
cross-functional teams to provide insights and recommendations
Background/Experience
- 6+
years of experience in analytics with both advanced excel and Machine
Learning Models.
- Reporting
and business focused analysis – 60%
- Machine
Learning model development for forecasting and Promotional analysis – 40%
- Experience
in a real world business experience outside of college is required
- Experience
in reporting with excel
- Bachelor’s
degree in math/analytics/engineering is required
- Master’s
in Analytics would be a plus
- Hands-on
with advanced excel with attention to detail to integrate complex data to
build forecasting and to perform analysis
- Knowledge
of ML/AI models for forecasting, pricing and promotional analytics for
business analytics is needed
- Knowledge
of building and using Tableau is required
- Python
programming skills for ML is required
- Experience
with Financial analysis to build business cases and to create P&L
analysis is a plus
- Creative
thinker with excellent business acumen, analytical skills and experience
with statistical modeling
- High
level of confidence, integrity, enthusiasm, executive presence that fits a
fast-paced, energetic and proactive organization
- Adaptability,
using advanced preparation to quickly pivot throughout the week
- Exceptional
presentation skills with good Microsoft PowerPoint capabilities
- Experience
of working with Telecom, Technology, Consumer Electronics and/or Retail
industry is strongly preferred
Top three
skills:
- Advanced
Excel and attention to detail for reporting and to integrate data
- Experienced
in building Machine Learning models for forecasting and promotional
analysis
- Business
- Strong
Business Analytics for Direct to Consumer Business
Education
and Years of Experience:
- Bachelor’s
Degree in engineering and Masters in analytics
- 6-10
years experience
