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Data Analyst, Forecasting (MX)

MaryRuth's

Ciudad de México

A distancia

MXN 420,000 - 468,000

Jornada completa

Hace 2 días
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Descripción de la vacante

A leading health supplement company is seeking a Data Analyst, Forecasting to support data-driven decision-making remotely. This role will involve developing business intelligence solutions and analyzing data to provide actionable insights. Candidates should have 2-3+ years of experience with SQL and data visualization tools. Benefits include competitive compensation, paid sick and vacation time, and medical insurance.

Servicios

Competitive compensation
Paid sick time
Paid vacation time
Medical insurance

Formación

  • 2-3+ years of experience with SQL and data warehousing.
  • Forecasting experience is strongly preferred.
  • Experience in Ecommerce/CPG/Retail is a plus.

Responsabilidades

  • Gather requirements and design data models.
  • Maintain consistent business logic across reporting.
  • Develop product forecasts for DTC business.

Conocimientos

SQL
Data visualization tools
Microsoft Excel
Collaboration skills
Analytical skills

Herramientas

Tableau
PowerBI

Descripción del empleo

The Data Analyst, Forecasting, will play a critical role in supporting data-driven decision-making across MaryRuth’s by developing business intelligence (BI) solutions, analyzing data, and delivering insights. This role will be part of the Analytics team within our eCommerce & Marketing department, supporting key business functions such as marketing, operations, and sales by providing clear, actionable analysis.

This is a full-time (40 hr/wk), salaried, remote position. The role offers a compensation range of MXN $420,750 - 467,500 per year.

Responsibilities
  • Collaborate with stakeholders to gather requirements, design data models, and develop reports and dashboards regarding all areas of the business.
  • Report on performance across key KPIs and regularly share business performance; play a key role in measuring performance for MaryRuth’s business strategy.
  • Maintain consistent, groomed business logic and KPIs across reporting.
  • Develop product forecasts supporting MaryRuth’s growing DTC business using Excel, SQL, R, and/or Tableau.
  • Proactively identify and investigate potential areas of opportunity.
  • Collaborate with other Analytics team members on data and business strategy projects.
  • Other responsibilities as assigned.
  • Some travel (<5%) may be required on an as-needed basis, with advance notice provided.
Qualifications
  • Minimum 2-3+ years of experience with SQL, business intelligence, and data warehousing required; forecasting experience strongly preferred.
  • Experience in Ecommerce/CPG/Retail or other consumer product industries is a plus.
  • Advanced proficiency in Microsoft Excel.
  • Strong experience with data visualization tools such as Tableau, Looker, or PowerBI.
  • Excellent collaboration skills to work cross-functionally across the organization.
  • Analytical, detail-oriented, and motivated to solve problems.
Physical Requirements
  • Must be able to exert up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or move objects, including the human body.
  • This role involves sitting most of the time but may also involve moving for brief periods.
Benefits Summary
  • Competitive compensation, commensurate with experience.
  • Paid sick time.
  • Paid vacation time.
  • Medical insurance.
The Culture at MaryRuth’s

We are a fast-growing startup with a small, unified team that has a lot of fun and a big drive to change the world through our products. We focus on creating vegan and organic vitamins and supplements for everyone.

We believe our work benefits from the diverse perspectives of our employees. MaryRuth’s celebrates inclusion and is committed to equal opportunity employment.

MaryRuth’s is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, hair texture and hairstyles, pregnancy, childbirth, medical conditions, disability, age, military status, marital status, gender identity or expression, medical condition, genetic information, or sexual orientation, in accordance with applicable laws.

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