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:

• Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights.
• Timely delivery of deep-dive analyses – 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 warnings, and forecasts. Utilize syndicated and other sources for periodical Retail industry assessment.
• Collaborate with the peer Data Science teams in developing and maintaining predictive forecasting models.
• Provide effective visualization for users to interact with the forecasting model.
• Recommend strategic action plans for retail to drive sales across all product categories.
• Use presentation skills in being able to tell the story behind the numbers.
• Maintain data quality and implement data governance measures on databases.
• Establish and maintain regular automated reporting that analyzes data from multiple sources to provide insights into the performance of the mobile business leveraging Tableau and other data visual tools.

Required Experience and Education:

• 4 years of work experience in Retail Performance analytics, Data analytics with data modelling.
• Bachelor’s Degree in Business Analytics, Data Science, Statistics, Mathematics, or similar field of study.
• Master's Degree preferred.

Necessary Skills and Attributes:

• Self-motivated individual with the ability to thrive in a team-based or independent environment.
• Detail-oriented with strong organization skills.
• Ability to work in a fast-paced environment.
• Limited supervision and the exercise of discretion.
• Expert level Alteryx skills, Intermediate – Expert in Tableau, Advanced Excel, Power Point, R/ Python.
• Ability to source, combine and synthesize large amounts of data from various sources to complete statistical modeling, A/B testing, cluster analysis, sample size calculations and tests of significance.
• Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.
• Ability to thrive in dynamic environment that requires a high degree of multi-tasking with minimal supervision.
• Ability to plan, organize, and prioritize multiple complex assignments and projects.
• Read and interpret detailed and complex customer requirements.