Specialist, Business Data, SQL

hace 2 meses


Tlaquepaque, México Herbalife A tiempo completo

Overview:
Deadline to receive resumes is September 8th, 2023 5:30pm

Recruiter: Daniel Chacón

Position reports to: Atippong Padunkeattiwong

THE ROLE:
The Analyst II, Data (SQL) is responsible for data mining and integrating data from various sources, ensuring data integrity. This data is extracted from tables mirrored from source transactional systems that are not translated and governed within Business Intelligence tools to provide user friendly descriptions and connections, and therefore require additional technical oversight. Creating analysis-ready data sets for cross-functional and complex data analysis tasks

The responsibilities will include writing complex SQL queries, developing and maintaining Store Procedures, employing various statistical methods and modeling on a regular and ad-hoc basis.

The right person for this role is a self-starter, intellectually curious and has a strong attention to detail who enjoys working in a fast-paced environment.

HOW YOU WOULD CONTRIBUTE:

- Develop logic, build from scratch and maintain analytical reports (both ad-hoc and scheduled) using SQL, Excel and Power BI/MicroStrategy.
- Collaborate with GTS, GBS, Business Intelligence and Analytical community in ongoing decisions regarding data quality, modeling, reporting, validation, methodology and integration of new functionalities.
- Support monthly and quarterly reporting and validation process. The process includes ensuring that data is accurately captured from various data sources, understanding and interpretation of data formulas, and calculations and troubleshooting of variances.
- Write and run complex queries using SQL to validate data and investigate discrepancies, build/augment reporting functionality, develop systematic processes to routinely maintain and update data
- Test and audit the quality of data and work with the development teams to correct any inaccuracies and inconsistencies.
- Perform data mining tasks through cleaning raw data, finding patterns, creating models, and testing those models
- Participate in the projects supporting company strategic initiatives.

WHAT’S SPECIAL ABOUT THE TEAM:
The WWSSA is a team that celebrates individual talents and diverse backgrounds, has trust and respect among team members, supports open communication and truly cares about each other’s success and happiness. We foster knowledge sharing work environment, encourage to explore, improve, and think outside the box towards collective decisions, and hold one another accountable for making things happen.

SUPERVISORY RESPONSIBILITIES:

- None

Job Qualifications:
SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL:

- 3+ years of experience in the functional areas of business analysis, financial analysis, statistical model development, business administration/analysis, or related field.
- 2+ years of complex data analytics, writing queries and coding experience in SQL.
- Knowledge of Relational Models and Data Warehouse/Lake methodology and experience with different types of databases/workspaces such as SQL Server, Snowflake, Azure, Databricks and Database design structure.
- Strong analytical skills with the ability to collect, organize and analyze significant amounts of information with attention to detail and accuracy, and draw valid conclusions.
- Proficiency in the data validation process.
- Proficient skills in MS Excel and PowerPoint.
- Knowledge of working with structured or semi structured data.
- Self-starter, intellectually curious and has a strong attention to detail who enjoys working in a fast-paced environment both independently and in a team environment
- Knowledge of statistical and data mining techniques: Classification Analysis, Cluster Analysis, Regression Analysis, Anomaly Detection, etc.
- Proficient in data mining process of discovering actionable information from large sets of data and derive patterns and trends that exist in data.
- Desirable - knowledge of Herbalife Marketing Plan, compensation structure and business models

Education
- BA/BS in Business, Economics Finance or related field, or equivalent experience.



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