Remote Senior Data Analyst & Bi Specialist

Asociacion De Relaciones Industriales De Occidente

Región Centro

Híbrido

MXN 700 000 - 900 000

Tempo integral

Há 2 dias
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Vantagens oferecidas por esta oferta de emprego

Hybrid work model
Professional growth opportunities
Working with cutting-edge technologies

Resumo da oferta

Asociación De Relaciones Industriales De Occidente in Zapopan, Jalisco, Mexico, seeks an E-commerce Analyst & Data Scientist to turn data into strategic actions, improve customer experiences, and boost online sales. You will analyze large datasets, build predictive models, and present insights to stakeholders in a hybrid work setting.

The role emphasizes data visualization, ML techniques, and collaboration with cross-functional teams to drive business growth and optimize conversion rates.

Qualificações

  • Proven experience in e-commerce analytics or data science roles.
  • Strong background in statistics and machine learning concepts.
  • Proficient in Python or R and SQL for data manipulation.

Responsabilidades

  • This role analyzes large e-commerce datasets to extract insights on customer behavior and sales performance.
  • Develop dashboards and reports to track KPIs and support decision-making.
  • Build predictive models for customer segmentation, churn, LTV, and sales forecasting.
  • Conduct A/B testing to optimize website elements and campaigns.
  • Collaborate with marketing, product and engineering teams to implement data-driven strategies.

Conhecimentos

E-commerce analytics
Data Science
Python
R
SQL
Tableau/Power BI
Google Analytics
A/B testing

Formação académica

Master's or PhD in Statistics, Computer Science, Mathematics, Economics, or related field

Ferramentas

Python
R
SQL
Tableau
Power BI
Google Analytics

Descrição da oferta de emprego

E-commerce Analyst & Data Scientist

Our client is looking for a highly analytical and technically skilled E-commerce Analyst & Data Scientist to join their team. This role is crucial for leveraging data to drive strategic decisions, optimize customer experience, and enhance online sales performance. You will be responsible for analyzing large datasets, identifying trends, building predictive models, and communicating insights to key stakeholders. This position offers a significant opportunity to impact business growth through data-driven insights in a hybrid work environment in Zapopan, Jalisco, MX.

About the Role

Our client is looking for a highly analytical and technically skilled E-commerce Analyst & Data Scientist to join their team. This role is crucial for leveraging data to drive strategic decisions, optimize customer experience, and enhance online sales performance. You will be responsible for analyzing large datasets, identifying trends, building predictive models, and communicating insights to key stakeholders. This position offers a significant opportunity to impact business growth through data-driven insights in a hybrid work environment in Zapopan, Jalisco, MX.

Key Responsibilities
  • Analyze e-commerce data to identify trends, patterns, and insights related to customer behavior, sales performance, and marketing effectiveness.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) for the e-commerce business.
  • Build and implement predictive models for customer segmentation, churn prediction, lifetime value, and sales forecasting.
  • Conduct A/B testing and multivariate testing to optimize website elements, marketing campaigns, and user journeys.
  • Collaborate with marketing, product, and engineering teams to define data requirements and implement data-driven strategies.
  • Use statistical methods and data visualization techniques to communicate complex findings clearly and concisely.
  • Identify opportunities for data-driven improvements in website design, user experience, and conversion rates.
  • Stay current with advancements in data science, machine learning, and e-commerce analytics tools.
  • Ensure data accuracy and integrity across all reporting and analytical processes.
  • Present findings and recommendations to senior management and other stakeholders.
Requirements
  • Proven experience as an E-commerce Analyst, Data Scientist, or similar quantitative role, with a strong focus on online retail.
  • Expertise in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in programming languages such as Python or R, and SQL for data manipulation and analysis.
  • Strong experience with data visualization tools (e.g., Tableau, Power BI) and web analytics platforms (e.g., Google Analytics).
  • Excellent analytical and problem-solving skills, with a keen eye for detail.
  • Strong understanding of e-commerce metrics, KPIs, and business drivers.
  • Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
  • Ability to work effectively both independently and collaboratively in a hybrid setting.
  • Master's or PhD in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
Benefits

Our client offers a competitive salary and a comprehensive benefits package. Enjoy the flexibility of a hybrid work model in Zapopan, Jalisco, MX. This role provides significant opportunities for professional growth and development, working with cutting-edge technologies and data. Be part of an innovative company that values data-driven decision-making and fosters a collaborative culture. Contribute to strategic initiatives that directly impact business success.

Analyst Performance Benchmarking and Data

As Performance Benchmarking Analyst, you will play an important role in ensuring that IHG has accurate, reliable and accessible data to understand hotel and market performance. You will support the Director, Performance Benchmarking in managing relationships with external data providers and will coordinate the regular exchange, validation and reconciliation of data with these partners.
You will process and check industry benchmarking, pipeline and rooms data, investigate differences between data sources and help maintain consistency across IHG's databases. Drawing on your understanding of data structures and analytical tools, you will also help design reliable data models that make information easier for colleagues to access, interpret and use.
A key part of the role will be supporting hotel and corporate teams with benchmarking data and digital products. This will include responding to queries, providing guidance on areas such as RGI and competitive-set composition, developing documentation and best practice, and helping colleagues use data with confidence. You will work with teams across Technology, Commercial, Operations, Revenue Management, Finance, Development and Competitor Intelligence.
This is also an opportunity to help shape the future of IHG's performance benchmarking processes. You will contribute to the review of external data products and help modernise existing ways of working by applying automation and AI.
The successful candidate will bring at least three years' experience working with finance data systems, an understanding of structuring and processing large datasets, and be confident in dashboarding and using data-query tools. Previous hotel-industry experience is not critical but would be an advantage.

Key Accountabilities
  • Weekly industry inbound data from STR processed and checked
  • Inbound/outbound pipeline and rooms data to vendors transmitted and checked, including any manual adjustments (LE, STR, Howarth)
  • Understanding industry data and making this available to corporate colleagues
  • Understanding and designing structured data models (schema) to enable consistent and reliable data which can provide market insights
  • Research disparities in database information and synchronize database file information to ensure all databases are accurateOffering GCP internal support, documentation, and best practices to help colleagues effectively use data
  • Understanding RGI, comp set composition and target vs actual and providing guidance accordingly
  • Support hotels and corporate colleagues with STR digital products
  • Support relationships with LE, CBRE, STR, Hotstats, Howarth, etc.
Key Metrics
  • Outbound and inbound data shared with relevant vendors is complete, free of errors and according to agreed timelines
  • Hotel and colleagues' queries addressed on a timely basis and followed up as required
  • Assist in interpreting performance data, researching data sources and/or data integrity, or providing general performance program information
Key Collaborative Network

Key Shared Accountabilities
- Review Lodging Econometrics product and compare to STR to assess optimum product for IHG
- Review and modernise processes and ways of working using AI and automation tools

Key Interfaces

Key External Relationships:
- STR/CoStar
- Lodging Econometrics
- CBRE
- Hotel owners and operators

Key Internal Relationships

- Global Technology
- Commercial teams
- Regional operations teams
- Regional revenue management teams
- Competitor Intelligence
- Finance data solutions
- Finance technology
- Finance business partners
- Franchise Support Teams
- Development Teams
- GIAD Reporting Team

Required Education, Experience, Technical Skills and Knowledge

Education
- Bachelors degree or equivalent
Experience
- 3+ years experience with Finance data systems
Technical Skills and Knowledge
- Understanding and experience of structuring big data and machine learning tools to process large datasets
- Understanding and experience of dashboards and querying tools (e.g. Tableau/Kyvos) for data access
- Hotel industry experience preferred

Decision Rights

Owns
- Lodging Econometrics Data transmission process
- Outbound & Inbound vendor data transmission
Influences
- Vendor rationalization decisions
- Data query and dashboarding system selection
- Data structure design

Work scheme

We operate under a hybrid working model with 4 days in the office and 1 remote day per week , combining in-person collaboration with the flexibility of working from home.

At IHG Hotels & Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You'll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there's Room for You at IHG.
Over recent years, we've transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests & owners love.
We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That's why here at IHG, we give our colleagues flexibility and balance - working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that's why leaders work with teams to determine how and when they collaborate.
We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference.
Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels & Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.

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