Senior Analyst Customer Analytics

POSITION SUMMARY:

A key individual contributor within the TH NA CI-CRM team, the Sr. Analyst, Customer Analytics will be tasked with mining consumer data from our data sets and working closely with department leadership to integrate the insights into key business decision making processes.

This role will directly build + be responsible for the narrative/story for a series of reports, dashboards, presentations, and ad-hoc analysis geared at uncovering insights about our customers. This role will also play a key role in ensuring high data quality accuracy, and supporting the needs of the team as they explore, analyze, and integrate new data from a wide variety of sources.

This role involves extensive programming, data wrangling, data transformation, data mining, data visualization and predictive modeling expertise to get desired results essential for business strategic decisions.

Success in this role will depend upon a rigorous and detail oriented analytical approach, intellectual curiosity, a creative approach to addressing complex challenges, and the ability to balance clear, strategic thinking with pragmatic, sleeves-rolled-up engagement and action.

Most importantly, you should have a positive "can do" attitude and a passion for delivering technical solutions in a fast-paced team

PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:

• Analysis, summary, and model development of large customer, consumer, transactional, and product data to gain a deeper understanding of customer behaviors and market opportunities that influence how we develop product, market to consumers, drive business strategy, and create seamless experiences
• Effective communication of analytical findings such that key facts, insights and implications are clear and understood by those without analytics expertise; use of data visualization and other demonstrations or descriptions of information are critical
• Maintain and create dashboards/reports for TH NA CI-CRM team that provides actionable insights for decision making and improves efficiencies for more manual builds
• Responsible for ad-hoc analyses to identify and size new product, channel, and marketing opportunities
• Oversees customer data quality including but not limited to ensuring all data dictionaries are clear + up to date, data is accurate and free from error, and any/all issues are logged and clearly communicated

DECISION MAKING:

Elevate issues to the appropriate channels

RESOURCEFULNESS/ CREATIVITY:

• Intellectual Curiosity.
• Ability to see trends or patterns in large sets of data.
• Creative problem solving skills.
• Ability to handle multiple projects
• Ability to adapt new things/tools/database/people

ENVIRONMENT:

Successfully engage in multiple initiatives simultaneously.

QUALIFICATIONS & EXPERIENCE:

Experience:

• Proven ability to build common understanding through the use of customer analytics including essential customer analytics (sales trees, cross-channel analysis, cross-category analysis, and demographics), segmentation/classification, lifetime value measurement, and regression
• Experience with machine learning techniques strongly preferred
• 4+ years prior work experience in data analytics
• Experience with unstructured and semi-structured data sets
• Comfortable in a rapid response mode where information or answers are sourced from a database in a timely and thoughtful manner
• Expert SQL skills including the ability to translate business questions into cogent, logical database queries and ensure quality output
• Expertise and ability in R or Python preferred
• 1+ Years' experience in any of the Data visualization tools such as Tableau or Power Bi Data visualization packages in R/Python preferred
• Excellent verbal and written communication skills; ability to discuss complex information in an easy-to-understand manner with clear recommendations based on data

Education:

Masters in mathematics, statistics or computer science or related field.

Skills:

• Excellent verbal and written communication skills (English) - credible at top management level and with both technical and non-technical audiences
• Ability to establish effective working relationships with the business and technical communities
• Strong leadership, analytical and problems solving abilities
• Effective organization and time management skills, with ability to work under pressure and adhere to project deadlines
• Excellent presentation and interpersonal communication skills and the ability to communicate with the global business teams and IT
• Team work
• "Can-do" attitude to drive results
• Ready to adapt changes
• Excellent skill in MS Office - Word, Excel, Powerpoint (MS Project/ Visio preferred)
• Comfortable being part of a team that spans different time zones & locations