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Sr. Analyst - Advanced Analytics (RPA)
WorldLink USUnited Statesfull_timeVerifiedPosted 12 Dec 2024
About the role
TITLE: Sr. Analyst - Advanced Analytics (RPA)
POSITION TYPE: Full Time (W2)
LOCATION: Plano, TX
ABOUT WorldLink:
WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.
Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.
We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.
For more information about our craft, visit https://worldlink-us.com .
WHO we’re looking for:
We are looking for a Sr. Analyst - Advanced Analytics who will be responsible for reporting to the Sr. Manager Retail Performance Analytics (RPA) and conducting quantitative and qualitative analysis to synthesize trends into actionable business insights and recommendations. You will need to develop advance data mining and forecasting models to support channel-centric and geography-based sales performance indicators for the multiple product lines. The role requires extracting conceptual and advanced insights from large and diversified datasets to drive sales and business growth.
Role and Responsibilities:
POSITION TYPE: Full Time (W2)
LOCATION: Plano, TX
ABOUT WorldLink:
WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.
Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.
We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.
For more information about our craft, visit https://worldlink-us.com .
WHO we’re looking for:
We are looking for a Sr. Analyst - Advanced Analytics who will be responsible for reporting to the Sr. Manager Retail Performance Analytics (RPA) and conducting quantitative and qualitative analysis to synthesize trends into actionable business insights and recommendations. You will need to develop advance data mining and forecasting models to support channel-centric and geography-based sales performance indicators for the multiple product lines. The role requires extracting conceptual and advanced insights from large and diversified datasets to drive sales and business growth.
Role and Responsibilities:
- Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights.
- Use experience with Machine Learning techniques, such as regression, classification, clustering, and neural networks, Naive Bayes. Outline business predictions to predict forecasts of demand and promote overall efficiency.
- Use Data science and optimization models – Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis.
- Source, combine, and synthesize large amounts of data from various data sources.
- Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights.
- Conduct Industry analysis: Analyze trends, patterns, early warn
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